go-bottom-sit-nagpur

Publications

  • Agrawal, P.; et al., “Advancing molecular property prediction for environmental fate using graph neural networks: A comparative analysis”, Chemometrics and Intelligent Laboratory Systems, Vol. 268, 2026. DOI: 10.1016/j.chemolab.2025.105581
  • Suri, J.; et al., “CMR-Derived Atrial Strain in the Prediction of Adverse Cerebrovascular Events After Myocardial Infarction”, American Journal of Cardiology, Vol. 259, pp. 155–162, 2026. DOI: 10.1016/j.amjcard.2025.09.020
  • Asudani, D.S.; et al., “A Comprehensive Overview of Graph Convolutional Network”, Synthesis Lectures on Computer Science, Volume Part F7, Pages 1–19, 2026. DOI: 10.1007/978-3-031-93802-3_1
  • Suri, J.; et al., “Optimal feature selection for medical image fusion using deep learning with transformer”, Biomedical Signal Processing and Control, Volume 111, 2026. DOI: 10.1016/j.bspc.2025.108377
  • Mallick, S.R.; et al., “Secure and scalable dual blockchain and IPFS driven IoT ecosystem for next gen healthcare systems”, Scientific Reports, Volume 15, Issue 1, 2025. DOI: 10.1038/s41598-025-25006-3
  • Urkude, G.; et al., “Design of an Integrated Model for Gait Identification Using DDPG, Sparse Group Lasso, and Stacked Generalization”, Neural Processing Letters, Volume 57, Issue 6, 2025. DOI: 10.1007/s11063-025-11809-y
  • Mallick, S.R.; et al., “LIVER: A Next-Generation Secure and Lightweight Blockchain-IPFS Edge Computing Model for Healthcare with Queueing Techniques”, International Journal of Networked and Distributed Computing, Volume 13, Issue 2, 2025. DOI: 10.1007/s44227-025-00070-3
  • Shelke, N.; et al., “Predictive performance of nano-alumina and zeolite-based high-performance nano-engineered concrete: integrative application of quantum computing and machine learning with optimization techniques”, Quantum Machine Intelligence, Volume 7, Issue 2, 2025. DOI: 10.1007/s42484-025-00317-w
  • Borkar, P.; Rakesh, N.; et al., “High performance GPU implementation of KNN algorithm: A review”, MethodsX, Volume 15, 2025. DOI: 10.1016/j.mex.2025.103633
  • Mallick, S.R.; et al., “Secure and trusted data sharing in smart healthcare using blockchain and IoT integration”, Discover Internet of Things, Volume 5, Issue 1, 2025. DOI: 10.1007/s43926-025-00195-5
  • Kumar, S.; et al., “A novel brain MRI classification framework integrating tuned single scale retinex and empirical wavelet entropy features”, Scientific Reports, Volume 15, Issue 1, 2025. DOI: 10.1038/s41598-025-13281-z
  • Maurya, S.; et al., “Optimization of sustainable retrofitting using OBL-MOTLBO: a multi-objective approach to time, cost, and environmental trade-offs”, Asian Journal of Civil Engineering, Volume 26, Issue 12, Pages 5185–5203, 2025. DOI: 10.1007/s42107-025-01479-5
  • Dubey, P.; et al., “Bridging spatiotemporal wildfire prediction and decision modeling using transformer networks and fuzzy inference systems”, MethodsX, Volume 15, 2025. DOI: 10.1016/j.mex.2025.103498
  • Shelke, N.; et al., “Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability”, Scientific Reports, Volume 15, Issue 1, 2025. DOI: 10.1038/s41598-025-92025-5
  • Pinjarkar, L.; Agrawal, P.; et al., “Predictive analytics in gamified education: A hybrid model for identifying at-risk students”, MethodsX, Volume 15, 2025. DOI: 10.1016/j.mex.2025.103486
  • Shingne, H.; Agrawal, P.; et al., “Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security”, MethodsX, Volume 15, 2025. DOI: 10.1016/j.mex.2025.103445
  • Kumar, S.; Shelke, N.; et al., “Hybrid high-performance computing enhanced machine learning framework for nano-thermal conductivity in MWNT-oil-based solar cooking systems”, Journal of Engineering and Applied Science, Volume 72, Issue 1, 2025. DOI: 10.1186/s44147-025-00666-0
  • Kumar, S.; Gulhane, M.; Rakesh, N.; et al., “Advancing blood cell detection and classification: performance evaluation of modern deep learning models”, BMC Medical Informatics and Decision Making, Volume 25, Issue 1, 2025. DOI: 10.1186/s12911-025-03027-2
  • Mohankumar, N.; et al., “Ultra-sensitive heterojunction double gate BioTFET device for SARS-CoV-2 biomolecules detection”, Scientific Reports, Volume 15, Issue 1, 2025. DOI: 10.1038/s41598-025-99817-9
  • Shelke, N.; et al., “Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging”, Scientific Reports, Volume 15, Issue 1, 2025. DOI: 10.1038/s41598-025-94905-2
  • Mohankumar, N.; et al., “Impact of capacitance and linearity on the reliability of InGaN notch based dual channel GaN MOSHEMTs for precision biosensing”, Microsystem Technologies, Volume 31, Issue 11, Pages 3201–3213, 2025. DOI: 10.1007/s00542-024-05816-7
  • Suri, J.; et al., “StockAI 3.0: Ensemble fusion paradigms using novel gating mechanism in long short-term memory architectures for forecasting sentiment-based stock trends”, Soft Computing, Volume 29, Issue 21–22, Pages 5803–5829, 2025. DOI: 10.1007/s00500-025-10901-8
  • Pawar, R.; et al., “Integrated data-driven optimization and microstructural modeling of nano-silica enhanced cement–fly ash–lime wall panels for prefabricated construction”, Asian Journal of Civil Engineering, Volume 26, Issue 11, Pages 4567–4580, 2025. DOI: 10.1007/s42107-025-01440-6
  • Shelke, N.; et al., “Sensitivity Improved Plasmonic Biosensors with Coupling Quantum-Dots for Optimization of Biosensing Process: Application in Biomedical Diagnostics and Environmental Monitoring Processes”, Plasmonics, Volume 20, Issue 11, Pages 9521–9538, 2025. DOI: 10.1007/s11468-025-03027-y
  • Dhankar, P.K.; et al., “Matter power spectrum in a power-law f(G) gravity”, New Astronomy, Volume 120, 2025. DOI: 10.1016/j.newast.2025.102423
  • Suri, J.; et al., “Heart-Brain axis: is microvascular dysfunction the link between stroke and Takotsubo syndrome?”, International Journal of Cardiovascular Imaging, Volume 41, Issue 10, Pages 1895–1906, 2025. DOI: 10.1007/s10554-025-03477-9
  • Gongal, N.; et al., “Bi-level optimization of composite floor systems integrating fire resistance and vibration serviceability using multi-method computational intelligence process”, Asian Journal of Civil Engineering, Volume 26, Issue 10, Pages 4441–4453, 2025. DOI: 10.1007/s42107-025-01434-4
  • Pawar, R.; et al., “Integrated deep retrofitting framework for progressive collapse control in RC frames using physics infused graph and multi-agent learning process”, Asian Journal of Civil Engineering, Volume 26, Issue 10, Pages 4167–4179, 2025. DOI: 10.1007/s42107-025-01418-4
  • Suri, J.; et al., “Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification”, Biomedical Signal Processing and Control, Volume 108, 2025. DOI: 10.1016/j.bspc.2025.107824
  • Dhankar, P.K.; et al., “Perturbations with bulk viscosity in modified chaplygin gas cosmology”, International Journal of Geometric Methods in Modern Physics, Volume 22, Issue 11, 2025. DOI: 10.1142/S0219887825500732
  • Gulhane, M.; et al., “Topology and knot theory applications in quantum field theory”, Journal of Interdisciplinary Mathematics, Volume 28, Issue 6, Pages 2281–2287, 2025. DOI: 10.47974/JIM-2370
  • Rakesh, N.; et al., “Practical applications of random dynamical systems in autonomous vehicle navigation”, Journal of Interdisciplinary Mathematics, Volume 28, Issue 6, Pages 2367–2375, 2025. DOI: 10.47974/JIM-2379
  • Gulhane, M.; et al., “Enhanced Facial Recognition Using CNN and GoogleNet: A High-Performance Framework”, SSRG International Journal of Electronics and Communication Engineering, Volume 12, Issue 9, Pages 142–152, 2025. DOI: 10.14445/23488549/IJECE-V12I9P112
  • Suri, J.; et al., “T2 mapping in acute myocarditis: advancing quantitative cardiovascular magnetic resonance (CMR) imaging for precision medicine”, Clinical Radiology, Volume 88, 2025. DOI: 10.1016/j.crad.2025.107007
  • Shelke, N.; et al., “An integrated artificial intelligence-driven approach to multi-criteria optimization of nano-materials for high-capacity electric vehicles supercapacitors”, Multiscale and Multidisciplinary Modeling, Experiments and Design, Volume 8, Issue 9, 2025. DOI: 10.1007/s41939-025-00975-0
  • Borkar, P.; Badhiye, S.; Shelke, S.; et al., “NB-NN-RF: an ensemble machine learning approach for classification of satellite images”, International Journal of Information Technology (Singapore), Volume 17, Issue 7, Pages 4093–4102, 2025. DOI: 10.1007/s41870-025-02619-5
  • Maurya, S.; et al., “Time–cost trade-off optimization in generalized construction projects using an opposition learning-augmented multi-objective Jaya algorithm”, Asian Journal of Civil Engineering, Volume 26, Issue 9, Pages 4009–4022, 2025. DOI: 10.1007/s42107-025-01401-z
  • Dhankar, P.K.; et al., “Joint analysis of constraints on f(R) parametrization from recent cosmological observations”, Physics of the Dark Universe, Volume 49, 2025. DOI: 10.1016/j.dark.2025.101989
  • Suri, J.; et al., “Radiomics-based machine learning atherosclerotic carotid artery disease in ultrasound: systematic review with meta-analysis of RQS”, Journal of Ultrasound, Volume 28, Issue 3, Pages 587–597, 2025. DOI: 10.1007/s40477-025-01002-1
  • Suri, J.; et al., “Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models”, Biomedical Signal Processing and Control, Volume 106, 2025. DOI: 10.1016/j.bspc.2025.107672
  • Dubey, P.; Aggarwal, P.K.; et al., “Adaptive split recalling-enhanced recurrent neural network based predictive control for the nano positioning of an electrostatic MEMS actuator”, Microsystem Technologies, Volume 31, Issue 8, Pages 2049–2066, 2025. DOI: 10.1007/s00542-024-05834-5
  • Shelke, N.; et al., “Applied discrete mathematics in developing efficient cryptographic algorithms for enhancing information security in WSN”, Journal of Discrete Mathematical Sciences and Cryptography, Volume 28, Issue 5–A, Pages 1733–1742, 2025. DOI: 10.47974/JDMSC-2173
  • Borkar, P.; et al., “Design and implementation of secure cryptographic algorithms for wireless sensor networks in healthcare applications”, Journal of Discrete Mathematical Sciences and Cryptography, Volume 28, Issue 5, Pages 1723–1731, 2025. DOI: 10.47974/JDMSC-2172
  • Badhiye, S.; et al., “Integration of blockchain technology with cryptographic solutions for robust healthcare information security”, Journal of Discrete Mathematical Sciences and Cryptography, Volume 28, Issue 5–A, Pages 1589–1598, 2025. DOI: 10.47974/JDMSC-2157
  • Gulhane, M.; Rakesh, N.; et al., “A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel-Based and Neural Approaches”, Journal of Cellular and Molecular Medicine, Volume 29, Issue 16, 2025. DOI: 10.1111/jcmm.70797
  • Dubey, P.; et al., “Enhanced autonomous water garbage collection system using deep learning-based object detection and path planning”, Bulletin of Electrical Engineering and Informatics, Volume 14, Issue 4, Pages 2593–2602, 2025. DOI: 10.11591/eei.v14i4.9399
  • Maurya, S.; et al., “Adaptive Color Correction and Detail-Preserving Fusion for Enhanced Underwater Image Quality and Segmentation”, Engineering, Technology and Applied Science Research, Volume 15, Issue 4, Pages 26011–26018, 2025. DOI: 10.48084/etasr.11438
  • Asudani, D.S.; et al., “A review on the effectiveness of recent approaches to few-shot learning for image analysis”, Applied Intelligence, Volume 55, Issue 13, 2025. DOI: 10.1007/s10489-025-06676-y
  • Agrawal, P.; Rakesh, N.; et al., “Designing an Efficient Novel Model to Enhance NLP-Driven Blockchain Analytics by Integrating Multimodal, Sentiment, and Temporal Data”, SN Computer Science, Volume 6, Issue 6, 2025. DOI: 10.1007/s42979-025-04225-5
  • Pawar, R.; et al., “Hybrid quantum inspired multi-objective optimization framework for self-healing concrete using AI-driven metaheuristics”, Asian Journal of Civil Engineering, Volume 26, Issue 8, Pages 3471–3483, 2025. DOI: 10.1007/s42107-025-01382-z
  • Gupta, G.K.; et al., “Steady-State Performance Evaluation of an M[X]/G(a, b)/1 Queue with Low-Batch Service, Multiple Vacations and Uninterruptible Server Renovation”, European Journal of Pure and Applied Mathematics, Volume 18, Issue 3, 2025. DOI: 10.29020/nybg.ejpam.v18i3.5910
  • Hole, S.R.; et al., “AI—Prediction of Neisseria gonorrhoeae Resistance at the Point of Care from Genomic and Epidemiologic Data”, Healthcare (Switzerland), Volume 13, Issue 14, 2025. DOI: 10.3390/healthcare13141643
  • Dhankar, P.K.; et al., “Tachyonic field coupled with global monopole in Brans-Dicke theory”, Physica Scripta, Volume 100, Issue 7, 2025. DOI: 10.1088/1402-4896/ade63c
  • Maurya, S.; et al., “Balancing accuracy and interpretability: AI-driven predictive modeling of construction schedule performance in India”, Asian Journal of Civil Engineering, Volume 26, Issue 7, Pages 3083–3098, 2025. DOI: 10.1007/s42107-025-01363-2
  • Suri, J.; et al., “Cancer-associated fibroblasts (CAFs) and plaque-associated fibroblasts (PAFs): Unraveling the cellular crossroads of atherosclerosis and cancer”, Biomedicine and Pharmacotherapy, Volume 188, 2025. DOI: 10.1016/j.biopha.2025.118145
  • Mohankumar, N., “EEG Signal Analysis for Classifying Alzheimer’s and Frontotemporal Dementia Disorders Using Ensemble Methods”, International Journal of Advances in Signal and Image Sciences, Volume 11, Issue 1, Pages 44–54, 2025. DOI: 10.29284/ijasis.11.1.2025.44-54
  • Agrawal, P.; et al., “Environmental applications of molecular graph learning: Graph neural network based prediction of partition coefficients”, Asian Journal of Water, Environment and Pollution, Volume 22, Issue 3, Pages 88–103, 2025. DOI: 10.36922/AJWEP025070041
  • Suri, J.; et al., “The evolution from qualitative to quantitative analysis in medical sciences: A historical perspective and the impact of AI”, IMAGING, Volume 17, Pages 152–510, 2025. DOI: 10.1556/1647.2025.00281
  • Avthankar, A.; et al., “Advancing real-time Viral strains identification and microbiological diagnostics with YOLOv8 and Machine learning”, Journal of Integrated Science and Technology, Volume 13, Issue 7, 2025. DOI: 10.62110/sciencein.jist.2025.v13.1156
  • Dewangan, B.K.; Chauhan, P.; et al., “An Extensive Review of Hosting of Cloud, IoT, and Web-Based Services: Security Issues and Challenges Ahead”, International Journal of Computer Networks and Applications, Volume 12, Issue 3, Pages 363–383, 2025. DOI: 10.22247/ijcna/2025/23
  • Agrawal, P.; et al., “VersaModal: A Unified Multi-Modal Sentiment Analysis System for Text, Image, and Video”, SSRG International Journal of Electronics and Communication Engineering, Volume 12, Issue 6, Pages 264–278, 2025. DOI: 10.14445/23488549/IJECE-V12I6P121
  • Dubey, P.; et al., “A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets”, Forecasting, Volume 7, Issue 2, 2025. DOI: 10.3390/forecast7020031
  • Mohankumar, N.; et al., “Convolutional neural network based encoder-decoder for efficient real-time object detection”, IAES International Journal of Artificial Intelligence, Volume 14, Issue 3, Pages 1960–1967, 2025. DOI: 10.11591/ijai.v14.i3.pp1960-1967
  • Dasarwar, P.; et al., “Revolutionizing Tuberculosis Prediction: A Cutting-Edge Approach”, Engineering, Technology and Applied Science Research, Volume 15, Issue 3, Pages 2923–2936, 2025. DOI: 10.48084/etasr.10449
  • Dasarwar, P.; et al., “A Hybrid Approach for Robust Deep Fake Image Detection using Spatial and Frequency Domain Features”, Engineering, Technology and Applied Science Research, Volume 15, Issue 3, Pages 22786–22791, 2025. DOI: 10.48084/etasr.10458
  • Suri, J.; et al., “Deep ensembled voting framework for human activity recognition and validation on video sequences”, Evolving Systems, Volume 16, Issue 2, 2025. DOI: 10.1007/s12530-025-09695-9
  • Agrawal, P.; et al., “Utilizing Supervised Machine Learning and Technical Indicators for Quantitative Trading to Improve Stock Market Trading Decisions”, SN Computer Science, Volume 6, Issue 5, 2025. DOI: 10.1007/s42979-025-04025-x
  • Dubey, P.; et al., “Enhancing Realism in Handwritten Text Images with Generative Adversarial Networks”, Bulletin of Electrical Engineering and Informatics, Volume 14, Issue 3, Pages 2370–2379, 2025. DOI: 10.11591/eei.v14i3.9190
  • Pinjarkar, L.; et al., “Drone-Based High-Resolution Air Pollution Monitoring: A Comprehensive System and Field Evaluation”, Bulletin of Electrical Engineering and Informatics, Volume 14, Issue 3, Pages 1758–1766, 2025. DOI: 10.11591/eei.v14i3.8592
  • Shelke, N.; et al., “The Optimization of Design and Performance in Hybrid Organic/Inorganic LEDs Toward Next-Generation High-Efficiency LEDs: Application of Multi-Model Hybrid Machine Learning Approach”, Journal of Computational Electronics, Volume 24, Issue 3, 2025. DOI: 10.1007/s10825-025-02329-y
  • Dubey, P.; et al., “Bridging Language Gaps: The Role of NLP and Speech Recognition in Oral English Instruction”, MethodsX, Volume 14, 2025. DOI: 10.1016/j.mex.2025.103359
  • Rakesh, N.; et al., “Efficient Clustering for NOMA with THz mMIMO D2D Inspired 6G System Model”, Telecommunication Systems, Volume 88, Issue 2, 2025. DOI: 10.1007/s11235-025-01280-4
  • Rakesh, N.; et al., “A Novel Long-Term Evolution-Based Technique for Vehicle-to-Vehicle Communication: Design Implementation and Performance Evaluation”, SN Computer Science, Volume 6, Issue 5, 2025. DOI: 10.1007/s42979-025-03978-3
  • Mohankumar, N.; et al., “Design and Simulation of Advanced Boron-Doped GaN Cap Layer on AlGaN/GaN MOSHEMTs for Enhanced Label-Free Biosensing Applications”, Biomedical Microdevices, Volume 27, Issue 2, 2025. DOI: 10.1007/s10544-025-00746-1
  • Dubey, P.; et al., “Innovative IoT-Enabled Mask Detection System: A Hybrid Deep Learning Approach for Public Health Applications”, MethodsX, Volume 14, 2025. DOI: 10.1016/j.mex.2025.103291
  • Pinjarkar, L.; et al., “An Attention-Driven Long Short-Term Memory Based Multi-Attribute Feature Learning for Shot Boundary Detection”, Knowledge-Based Systems, Volume 317, 2025. DOI: 10.1016/j.knosys.2025.113379
  • Shelke, N.; et al., “Strength and Durability Predictions of Ternary Blended Nano-Engineered High-Performance Concrete: Hybrid Machine Learning Techniques with Bio-Inspired Optimization”, Engineering Applications of Artificial Intelligence, Volume 148, 2025. DOI: 10.1016/j.engappai.2025.110470
  • Diwan, P.; et al., “Machine Learning Algorithms for Adaptive Haptic Responses”, 2025, Pages 199–232. DOI: 10.4018/979-8-3373-2307-7.ch010
  • Rakesh, N.; et al., “Thyroid Cancer Prediction Using Optimizations”, 2025, Pages 153–179. DOI: 10.1002/9781394287062.ch6
  • Pinjarkar, L.; et al., “Performance Optimization of Hybrid Nano-Engineered Geopolymer Binders-Based Ultra-High-Performance Concrete”, Nano-Structures and Nano-Objects, Volume 42, 2025. DOI: 10.1016/j.nanoso.2025.101469
  • Urkude, G.; et al., “MACPGANA: A Highly Efficient Multimodal Agriculture Commodity Price Prediction Model Using GANs & Autoencoders”, International Journal of Information Technology (Singapore), Volume 17, Issue 4, Pages 2355–2368, 2025. DOI: 10.1007/s41870-025-02425-z
  • Maurya, S.; et al., “Swarm-Based Support Vector Machine Optimization for Protein Sequence-Encoded Prediction”, International Journal of Data Science and Analytics, Volume 19, Issue 4, Pages 809–818, 2025. DOI: 10.1007/s41060-024-00551-8
  • Maurya, S.; Shelke, N.; et al., “Reconfigurable Architecture for Elliptic Curve Cryptography Using Runtime Reconfiguration”, International Journal of Engineering Trends and Technology, Volume 73, Issue 5, Pages 9–15, 2025. DOI: 10.14445/22315381/IJETT-V73I5P102
  • Dubey, P.; et al., “Advancing CVD Risk Prediction with Transformer Architectures and Statistical Risk Factor Filtering”, Technologies, Volume 13, Issue 5, 2025. DOI: 10.3390/technologies13050201
  • Rakesh, N.; Gulhane, M.; et al., “Error Probability Analysis Under H-Noise Scenarios in Diffusive Molecular Communication”, Alexandria Engineering Journal, Volume 122, Pages 484–495, 2025. DOI: 10.1016/j.aej.2025.03.041
  • Maurya, S.; et al., “AI Models for Predicting Unconfined Compressive Strength of Mixed Soil Types: Clay and Sand”, Asian Journal of Civil Engineering, Volume 26, Issue 5, Pages 1955–1972, 2025. DOI: 10.1007/s42107-025-01285-z
  • Dubey, P.; et al., “Blockchain-Enhanced VANETs for Secure, Resilient, and Efficient Urban Mobility”, 2025, Pages 247–270. DOI: 10.4018/979-8-3373-0265-2.ch013
  • Ismail, F.S.M.; et al., “An Ensemble Learning with Deep Feature Extraction Approach for Recognition of Traffic Signs in ADAS”, Journal of Integrated Science and Technology, Volume 13, Issue 6, 2025. DOI: 10.62110/sciencein.jist.2025.v13.1133
  • Maity, H.; et al., “Design and Analysis of Passivated n-Si Solar Cell Employing SiC Window Layer”, Silicon, Volume 17, Issue 5, Pages 1079–1089, 2025. DOI: 10.1007/s12633-025-03252-4
  • Dasarwar, P.; et al., “Primary Phase Alzheimer’s Disease Detection Using Ensemble Learning Model”, IAES International Journal of Artificial Intelligence, Volume 14, Issue 2, Pages 1531–1539, 2025. DOI: 10.11591/ijai.v14.i2.pp1531-1539
  • Suri, J.; et al., “Transformer and Attention-Based Architectures for Segmentation of Coronary Arterial Walls in IVUS: A Narrative Review”, Diagnostics, Volume 15, Issue 7, 2025. DOI: 10.3390/diagnostics15070848
  • Pinjarkar, L.; et al., “A Novel Multi-Method Framework for 3D Printed Fiber-Reinforced Polymer Concrete”, Asian Journal of Civil Engineering, Volume 26, Issue 4, Pages 1655–1668, 2025. DOI: 10.1007/s42107-025-01273-3
  • Dubey, P.; et al., “Area-Efficient Low Power VLSI of 2048-Point Pipelined Radix-16 MDC/FFT Processor for Brain Tumor Detection Using Optimized Dilated CNN”, Measurement, Volume 246, 2025. DOI: 10.1016/j.measurement.2025.116691
  • Dubey, P.; et al., “Crafting Images with Generative Adversarial Networks”, 2025, Pages 1–295. DOI: 10.4018/979-8-3693-7152-7
  • Shelke, N.; et al., “Advanced Data Fusion and Hybrid ML for Strength Prediction of Fly-Ash-Based Concrete”, SN Computer Science, Volume 6, Issue 3, 2025. DOI: 10.1007/s42979-025-03764-1
  • Gupta, A.; et al., “Efficient Spectrum Sharing in 5G and Beyond Networks: A Survey”, Telecommunication Systems, Volume 88, Issue 1, 2025. DOI: 10.1007/s11235-025-01261-7
  • Suri, J.; et al., “Navigating the AI Revolution in Neuro-Oncology: A Multidisciplinary Viewpoint”, Neurocomputing, Volume 620, 2025. DOI: 10.1016/j.neucom.2024.129220
  • Chauhan, P.; et al., “Effect of Objects and Image Quality on Melanoma Classification Using Spatio-Temporal Joint GCN”, Biomedical Signal Processing and Control, Volume 101, 2025. DOI: 10.1016/j.bspc.2024.107193
  • Agrawal, P.; et al., “A Comprehensive Deep Learning Framework for Dental Disease Classification”, Journal Européen des Systèmes Automatisés, Volume 58, Issue 3, Pages 511–521, 2025. DOI: 10.18280/jesa.580309
  • Avthankar, A.; et al., “Characterizing Composite Materials for High-Performance Applications: A Review of Testing Methods”, Evergreen, Volume 12, Issue 1, Pages 250–275, 2025. DOI: 10.5109/7342452
  • Palekar, S.; Kalambe, S.; Kalambe, J.; Kulkarni, M.B.; Bhaiyya, M., “Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Biomarker Quantification”, Biosensors, Volume 15, Issue 3, 2025. DOI: 10.3390/bios15030192
  • Shelke, N.; et al., “Strength Prediction of Sugarcane Bagasse Ash-Based Sustainable Concrete Using Hybrid ML”, Asian Journal of Civil Engineering, Volume 26, Issue 3, Pages 1193–1208, 2025. DOI: 10.1007/s42107-024-01245-z
  • Shelke, N.; et al., “Strength prediction of fly ash-based sustainable concrete using machine learning techniques”, Multiscale and Multidisciplinary Modeling, Experiments and Design, Volume 8, Issue 1, 2025. DOI: 10.1007/s41939-024-00697-9
  • Mohankumar, Rakesh, N.; et al., “Analytical model for DG-AlGaN/GaN MOS-HEMT for sensitive analysis of pH analytes and charged biomolecules”, Sensors International, Volume 6, 2025. DOI: 10.1016/j.sintl.2024.100312
  • Shelke, N.; et al., “Integrated hybrid machine learning techniques and multiscale modeling towards evaluating the influence of nano-material on strength of concrete”, Multiscale and Multidisciplinary Modeling, Experiments and Design, Volume 8, Issue 1, 2025. DOI: 10.1007/s41939-024-00588-z
  • Pinjarkar, L.; et al., “Random forest algorithm with hill climbing algorithm to improve intrusion detection at endpoint and network”, Indonesian Journal of Electrical Engineering and Computer Science, Volume 37, Issue 1, Pages 134–142, 2025. DOI: 10.11591/ijeecs.v37.i1.pp134-142
  • Suri, J.; et al., “Covlias 3.0Fusion: a novel deep learning ensemble strategy for COVID-19 diagnosis in computed tomography scans”, International Journal of Information Technology (Singapore), 2025. DOI: 10.1007/s41870-025-02896-0
  • Urkude, G.; et al., “Optimized CNN–ACO–LSTM Hybrid Networks for Early and Accurate Lung Cancer Classification”, Vascular and Endovascular Review, Volume 8, Issue 5S, Pages 232–242, 2025.
  • Gupta, A.; et al., “Digital Twin: Advancements, Technologies, and Applications”, 2025, Pages 1–18. DOI: 10.1201/9781003532286-1
  • Dhankar, P.K.; et al., “Exploring Bianchi Types Cosmological Models in the Framework of Modified f(R) Gravity”, Romanian Astronomical Journal, Volume 35, Issue 1–2, Pages 15–36, 2025. DOI: 10.59277/RoAJ.2025.1-2.02
  • Diwan, P.; et al., “Knee Osteoarthritis detection and classification from balanced and imbalanced X-ray images using deep learning”, Journal of Integrated Science and Technology, Volume 13, Issue 8, 2025. DOI: 10.62110/sciencein.jist.2025.v13.1180
  • Diwan, P.; et al., “An integrated IoT–AI framework for intelligent structural performance prediction and real-time strength forecasting in large-scale dome trusses”, Asian Journal of Civil Engineering, 2025. DOI: 10.1007/s42107-025-01586-3
  • Asudani, D.S.; et al., “CRNN-KHO: hybrid deep learning optimization framework for enhancing energy efficiency in IoT-enabled wireless networks”, International Journal of Information Technology (Singapore), 2025. DOI: 10.1007/s41870-025-02792-7
  • Dubey, P.; Rakesh, N.; et al., “From Convolution to Attention: Transformer-Based Modeling for Multi-Day Wildfire Spread Forecasting”, IEEE Access, Volume 13, Pages 128895–128919, 2025. DOI: 10.1109/ACCESS.2025.3586922
  • Shelke, N.; et al., “Hybrid Machine Learning Based Strength and Durability Predictions of Polypropylene Fiber-Reinforced Graphene Oxide Based High-Performance Concrete”, Iranian Journal of Science and Technology – Transactions of Civil Engineering, 2025. DOI: 10.1007/s40996-025-01852-z
  • Tidke, B.; et al., “Vibrational analysis of faulty deep-groove ball bearing under radial load”, Frontiers in Mechanical Engineering, Volume 11, 2025. DOI: 10.3389/fmech.2025.1560986
  • Maurya, S.; et al., “Improvised Spectral Efficiency and Channel Estimation Parameters in Visible Light Vehicular Communication by Integrating Simulation of Urban Mobility Data”, IEEE Access, Volume 13, Pages 70828–70848, 2025. DOI: 10.1109/ACCESS.2025.3558697
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  • Pandey, P.; et al., “IoT and AI-Enabled Smart Contact Lenses for Proactive Glaucoma Management”, 2025, ICSTSDG Conference Proceedings. DOI:10.1109/ICSTSDG61998.2024.11026236
  • Mohankumar, N.; et al., “IoT-Enhanced Deep Learning Model for Elderly Motor Function Assessment in Rehabilitation Devices”, 2025, ICSTSDG Conference Proceedings. DOI:10.1109/ICSTSDG61998.2024.11026068
  • Pinjarkar, L.; et al., “Face Recognition based Attendance System using KNN Algorithm”, 2025, ICAISS Conference Proceedings, Pages 1571–1576. DOI:10.1109/ICAISS61471.2025.11042050
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  • Borkar, P.; Badhiye, S.; et al., “Air Quality Prediction Using Machine Learning: A Comprehensive Review”, 2025, IC3ECSBHI Conference Proceedings, Pages 1089–1093. DOI:10.1109/IC3ECSBHI63591.2025.10991003
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  • Kumar, S.; Rakesh, N.; Gulhane, M.; Agrawal, P.K.; et al., “A Comprehensive Machine Learning Model for Kidney Stone Prediction”, 2025, ICSC Conference Proceedings, Pages 1982–2021. DOI:10.1109/ICSC64553.2025.10968209
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  • Gulhane, M.; Rakesh, N.; Sharma, R.; Kumar, S.; et al., “Advancing Blockchain-Based Systems to Enhance Security and Privacy in Healthcare Data Management Practices”, 2025, ICSC Conference Proceedings, Pages 2282–2341. DOI:10.1109/ICSC64553.2025.10968535
  • Bahadure, N.B.; et al., “Machine Learning-Based Music Recommendation System from Spotify”, 2025, Lecture Notes in Networks and Systems, Volume 1246 (LNNS), Pages 394–710. DOI:10.1007/978-3-031-88992-9_4
  • Pandey, P.; et al., “Artificial Neural Networks for Enhancing Soccer Team Performance Through Tactical Data Analysis”, 2025, ICMLAS Conference Proceedings, Pages 642–647. DOI:10.1109/ICMLAS64557.2025.10969039
  • Tidke, B.; et al., “CNN-based Neuroimaging Analysis for Mapping Neurotransmitter Dysregulation in Anxiety Disorders”, 2025, ICICACS Conference Proceedings. DOI:10.1109/ICICACS65178.2025.10968835
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  • Mohankumar, N.; et al., “Sustainable Wildlife Corridor Monitoring and Conservation Using IoT and Random Forest Algorithm”, 2025, ESIC Conference Proceedings, Pages 7287–7331. DOI:10.1109/ESIC64052.2025.10962676
  • Pandey, P.; et al., “IoT-Enabled Asthma Trackers for Children with KNN for Improved Breathing Control”, 2025, ICAECT Conference Proceedings. DOI:10.1109/ICAECT63952.2025.10958974
  • Mohankumar, N.; et al., “Real-Time Energy Consumption Insights for Hospitals with IoT and Machine Learning”, 2025, ESIC Conference Proceedings, Pages 7227–7271. DOI:10.1109/ESIC64052.2025.10962621
  • Maurya, S.; Asudani, D.S.; et al., “CNN-SVM Hybrid Approaches for Melanoma Detection in Dermatological Images”, 2025, IET Conference Proceedings, Pages 7140–5141. DOI:10.1049/icp.2025.1599
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  • Maurya, S.; Diwan, P.; et al., “Energy-Efficient Distributed Systems for Large-Scale Data Processing”, 2025, IET Conference Proceedings, Pages 1148–1155. DOI:10.1049/icp.2025.1564
  • Tidke, B.; et al., “Smart Gloves for Hand Injury Prevention in Manufacturing Plants Using IoT Sensors and One-Class SVM Integration”, 2025, ICSTSDG Conference Proceedings. DOI:10.1109/ICSTSDG61998.2024.11026730
  • Pandey, P.; et al., “IoT and AI-Enabled Smart Contact Lenses for Proactive Glaucoma Management”, 2025, ICSTSDG Conference Proceedings. DOI:10.1109/ICSTSDG61998.2024.11026236
  • Mohankumar, N.; et al., “IoT-Enhanced Deep Learning Model for Elderly Motor Function Assessment in Rehabilitation Devices”, 2025, ICSTSDG Conference Proceedings. DOI:10.1109/ICSTSDG61998.2024.11026068
  • Pinjarkar, L.; et al., “Face Recognition Based Attendance System Using KNN Algorithm”, 2025, ICAISS Conference Proceedings, Pages 1571–1576. DOI:10.1109/ICAISS61471.2025.11042050
  • Tidke, B.; et al., “Cloud-Hosted AI Solutions in Virtual Reality for Pain Distraction and Management in Clinical Settings”, 2025, ICoACT Conference Proceedings. DOI:10.1109/ICoACT63339.2025.11005291
  • Maurya, S.; Shelke, N.; et al., “Cloud Computing in Healthcare Services”, 2025, IC3ECSBHI Conference Proceedings, Pages 951–955. DOI:10.1109/IC3ECSBHI63591.2025.10990397
  • Asudani, D.S.; et al., “Eavesdropper-Aware Optimization of Cooperative Relaying Networks in the Presence of Heterogeneous Interference”, 2025, IC3ECSBHI Conference Proceedings, Pages 1201–1215. DOI:10.1109/IC3ECSBHI63591.2025.10990765
  • Asudani, D.S.; et al., “Enhanced Network Experimentation with Machine Learning-Driven Analysis of Beaulieu-Xie Fading and κ-μ Co-Channel Interference Effects”, 2025, IC3ECSBHI Conference Proceedings, Pages 485–310. DOI:10.1109/IC3ECSBHI63591.2025.10990355
  • Borkar, P.; Badhiye, S.; et al., “Air Quality Prediction Using Machine Learning: A Comprehensive Review”, 2025, IC3ECSBHI Conference Proceedings, Pages 1089–1093. DOI:10.1109/IC3ECSBHI63591.2025.10991003
  • Maurya, S.; Shelke, N.; et al., “Multilingual Sentiment Analysis: A Comprehensive Review for Indian Languages”, 2025, IC3ECSBHI Conference Proceedings, Pages 978–983. DOI:10.1109/IC3ECSBHI63591.2025.10991146
  • Pandey, P.; et al., “Adaptive Solar Energy Storage with Deep Learning for Improved Grid Resilience”, 2025, ICTMIM Conference Proceedings, Pages 1620–1625. DOI:10.1109/ICTMIM65579.2025.10988013
  • Pandey, P.; et al., “AI-Enhanced IoT Systems for Smart Predictive Maintenance in Steel Plants”, 2025, ICTMIM Conference Proceedings, Pages 954–959. DOI:10.1109/ICTMIM65579.2025.10988000
  • Kumar, S.; Agrawal, P.K.; Rakesh, N.; Gulhane, M.; et al., “Exploring Artificial Intelligence Techniques for Enhanced Accuracy in Medical Imaging and Early Disease Diagnosis”, 2025, International Conference on Signal Processing and Communication (ICSC), Pages 4024–4081. DOI:10.1109/ICSC64553.2025.10968284
  • Kumar, S.; Rakesh, N.; Gulhane, M.; Agrawal, P.K.; et al., “A Comprehensive Machine Learning Model for Kidney Stone Prediction”, 2025, International Conference on Signal Processing and Communication (ICSC), Pages 1982–2021. DOI:10.1109/ICSC64553.2025.10968209
  • Rakesh, N.; Sharma, R.; Gulhane, M.; et al., “Predicting Customer Churn Rate Using Machine Learning”, 2025, International Conference on Signal Processing and Communication (ICSC), Pages 5295–5341. DOI:10.1109/ICSC64553.2025.10968946
  • Gulhane, M.; Rakesh, N.; Sharma, R.; Kumar, S.; et al., “Advancing Blockchain-Based Systems to Enhance Security and Privacy in Healthcare Data Management Practices”, 2025, International Conference on Signal Processing and Communication (ICSC), Pages 2282–2341. DOI:10.1109/ICSC64553.2025.10968535
  • Bahadure, N.B.; et al., “Machine Learning-Based Music Recommendation System from Spotify”, 2025, Lecture Notes in Networks and Systems, Volume 1246 (LNNS), Pages 394–710. DOI:10.1007/978-3-031-88992-9_4
  • Pandey, P.; et al., “Artificial Neural Networks for Enhancing Soccer Team Performance Through Tactical Data Analysis”, 2025, ICMLAS Conference Proceedings, Pages 642–647. DOI:10.1109/ICMLAS64557.2025.10969039
  • Tidke, B.; et al., “CNN-based Neuroimaging Analysis for Mapping Neurotransmitter Dysregulation in Anxiety Disorders”, 2025, ICICACS Conference Proceedings. DOI:10.1109/ICICACS65178.2025.10968835
  • Pinjarkar, L.; et al., “Enhancing Radar-Based Human Activity Recognition: A Multi-Stream Deep Learning Approach with Advanced Signal Processing and Data Augmentation”, 2025, IEEE SoutheastCon Conference Proceedings, Pages 669–674. DOI:10.1109/SoutheastCon56624.2025.10971527
  • Tidke, B.; et al., “AI-Enabled Muscle Oxygen Sensors for Personalized Exercise Intensity Monitoring and Recovery Analysis”, 2025, ICAECT Conference Proceedings. DOI:10.1109/ICAECT63952.2025.10958953
  • Mohankumar, N.; et al., “Sustainable Wildlife Corridor Monitoring and Conservation Using IoT and Random Forest Algorithm”, 2025, ESIC Conference Proceedings, Pages 7287–7331. DOI:10.1109/ESIC64052.2025.10962676
  • Pandey, P.; et al., “IoT-Enabled Asthma Trackers for Children with KNN for Improved Breathing Control”, 2025, ICAECT Conference Proceedings. DOI:10.1109/ICAECT63952.2025.10958974
  • Mohankumar, et al., “Real-Time Energy Consumption Insights for Hospitals with IoT and Machine Learning”, 2025, ESIC Conference Proceedings, Pages 7227–7271. DOI:10.1109/ESIC64052.2025.10962621
  • Tidke, B.; et al., “IoT-Driven Predictive Analytics for Precision Harvest Timing with LightGBM Models”, 2025, ICVADV Conference Proceedings, Pages 446–451. DOI:10.1109/ICVADV63329.2025.10961665
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  • Rakesh, N.; Mohankumar, N.; et al., “Real-Time Detection of Rice Bacterial Blight using Remote Sensing and Deep Learning”, 2025, ICEARS Conference Proceedings, Pages 1469–1474. DOI:10.1109/ICEARS64219.2025.10941659
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