Dr. Nilesh Manoharrao Shelke

N. Shelke et al., "Multifunctional property predictions of nano-engineered cementitious composites for high-performance concrete structures using hybrid machine learning techniques," Frontiers of Structural and Civil Engineering, vol. 19, no. 12, pp. 1989–2011, 2025, doi: 10.1007/s11709-025-1247-7.

N. Shelke 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, vol. 50, no. 1, pp. 509–529, 2025, doi: 10.1007/s40996-025-01852-z.

N. Shelke et al., "Ensemble EfficientNet a novel technique for identification, classification and prediction of diabetic retinopathy," Automatika, vol. 66, no. 3, pp. 543–558, 2025, doi: 10.1080/00051144.2025.2514884.

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N. Shelke 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, vol. 23, no. 2, pp. 155–178, 2025, doi: 10.1007/s40996-025-01852-z.

N. Shelke et al., "Sensitivity Improved Plasmonic Biosensors with Coupling Quantum-Dots for Optimization of Biosensing Process: Application in Biomedical Diagnostics and Environmental Monitoring Processes," Plasmonics, vol. 24, no. 2, pp. 510–525, 2025, doi: 10.1007/s11468-025-03027-y.

N. Shelke et al., "Reconfigurable Architecture for Elliptic Curve Cryptography using Runtime Reconfiguration," International Journal of Engineering Trends and Technology, vol. 73, no. 5, pp. 9–15, 2025, doi: 10.14445/22315381/IJETT-V73I5P102.

N. Shelke 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, vol. 24, no. 3, pp. 112–128, 2025, doi: 10.1007/s10825-025-02329-y.

N. Shelke et al., "Multi-scale deep learning framework for three dimensional printed self-sensing cementitious composites with hybrid nano-carbon fillers," Frontiers of Structural and Civil Engineering, vol. 19, no. 6, pp. 872–891, 2025, doi: 10.1007/s11709-025-1190-7.

N. Shelke et al., "Optimizing information security protocols in cloud computing using applied discrete mathematics," Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5, pp. 1693–1702, 2025, doi: 10.47974/JDMSC-2169.

N. Shelke et al., "Blockchain-based secure data sharing and storage system using elliptic curve cryptography," Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5, pp. 1713–1722, 2025, doi: 10.47974/JDMSC-2171.

N. Shelke et al., "Applied discrete mathematics in developing efficient cryptographic algorithms for enhancing information security in WSN," Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5A, pp. 1733–1742, 2025, doi: 10.47974/JDMSC-2173.

N. Shelke 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, vol. 8, no. 7, pp. 102–122, 2025, doi: 10.1007/s41939-025-00975-0.

N. Shelke 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, vol. 7, no. 1, pp. 101–125, 2025, doi: 10.1186/s44147-025-00666-0.

N. Shelke et al., "Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability," Scientific Reports, vol. 1, no. 15, pp. 25–34, 2025, doi: 10.1038/s41598-025-92025-5.

N. Shelke et al., "Towards an automated weather forecasting and classification using deep learning, fully convolutional network, and long short-term memory," International Journal of Electrical and Computer Engineering, vol. 15, no. 2, pp. 1868–1879, 2025, doi: 10.11591/ijece.v15i2.pp1868-1879.

N. Shelke et al., "A Comprehensive Framework for Facial Emotion Detection using Deep Learning," International Journal of Performability Engineering, vol. 20, no. 8, pp. 487–497, 2024, doi: 10.23940/ijpe.24.08.p3.487497.

N. Shelke et al., "Optimization and multi-functional predictive performance of advanced superhydrophobic cementitious materials for water-resistant infrastructure," Asian Journal of Civil Engineering, vol. 26, no. 5, pp. 127–150, 2025, doi: 10.1007/s42107-025-01295-x.

N. Shelke et al., "Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization," Engineering Applications of Artificial Intelligence, vol. 148, no. 1, pp. 111–128, 2025, doi: 10.1016/j.engappai.2025.110470.

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N. Shelke et al., "Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging," Scientific Reports, vol. 15, no. 1, pp. 1–25, 2025, doi: 10.1038/s41598-025-94905-2.

N. Shelke et al., "Predictive models for properties of hybrid blended modified sustainable concrete incorporating nano-silica, basalt fibers, and recycled aggregates: Application of advanced artificial intelligence techniques," Nano-Structures and Nano-Objects, vol. 40, no. 2, pp. 1–15, 2024, doi: 10.1016/j.nanoso.2024.101373.

N. Shelke et al., "Radial basis function neural network-based algorithm unfolding for energy-aware resource allocation in wireless networks," Wireless Networks, vol. 30, no. 8, pp. 7041–7058, 2024, doi: 10.1007/s11276-023-03540-0.

N. Shelke et al., "Application of Advanced Data Fusion and Hybrid Machine Learning Techniques for Strength Prediction and Optimization of Fly-Ash Based Sustainable Concrete," SN Computer Science, vol. 6, no. 232, pp. 28–50, 2025, doi: 10.1007/s42979-025-03764-1.

N. Shelke et al., "Optimizing sustainability and resilience of composite construction materials using life cycle assessment and advanced artificial intelligence techniques," Asian Journal of Civil Engineering, vol. 26, no. 8, pp. 471–489, 2024, doi: 10.1007/s42107-024-01200-y.

N. Shelke et al., "Strength prediction of fly ash-based sustainable concrete using machine learning techniques: an application of advanced decision-making approaches," Multiscale and Multidisciplinary Modeling, Experiments and Design, vol. 8, no. 1, pp. 46–60, 2024, doi: 10.1007/s41939-024-00697-9.

N. Shelke 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, vol. 8, no. 1, pp. 27–40, 2024, doi: 10.1007/s41939-024-00588-z.

N. Shelke et al., "Application of Advanced Data Fusion and Hybrid Machine Learning Techniques for Strength Prediction and Optimization of Fly-Ash Based Sustainable Concrete," SN Computer Science, vol. 6, no. 3, pp. 1–41, 2025, doi: 10.1007/s42979-025-03764-1.

N. Shelke et al., "An integrated hybrid machine learning and statistical analysis towards strength prediction of sugarcane bagasse ash-based sustainable concrete," Asian Journal of Civil Engineering, vol. 25, no. 3, pp. 1193–1208, 2024, doi: 10.1007/s42107-024-01245-z.

N. Shelke et al., "Enhancing Security and Reliability in Industrial IoT Networks through Machine Learning," Journal of Electrical Systems, vol. 20, no. 1, pp. 289–302, 2024, doi: 10.52783/jes.748.

N. Shelke et al., "Advanced Heart Disease Prediction: Deep Learning-Enhanced Convolutional Neural Network in the Internet of Medical Things Environment," Journal of Electrical Systems, vol. 20, no. 1, pp. 1–10, 2024, doi: 10.52783/jes.748.

N. Shelke et al., "Security-aware analytical framework: A mathematical model and machine learning for dynamical system control in secure environments," Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-B, pp. 716–727, 2024, doi: 10.47974/JDMSC-1922.

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N. Shelke et al., "Machine intelligence security: A methodological blend of fuzzy logic in industry 4.0 algorithms," Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-B, pp. 689–701, 2024, doi: 10.47974/JDMSC-1920.

N. Shelke et al., "Deep Learning-Based Rule-Based Feature Selection for Intrusion Detection in Industrial Internet of Things Networks," International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 10, pp. 23–35, 2023, doi: 10.ijisae.org/index.php/IJISAE/article/view/3231.

N. Shelke et al., "Occupational Health in the Digital Age: Implications for Remote Work Environments," South Eastern European Journal of Public Health, vol. 21, no. 1, pp. 97–110, 2024, doi: 10.seejph.com/index.php/seejph/article/view/444.

N. Shelke et al., "Telco Customer Churn Prediction Using ML Models," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 2, pp. 644–653, 2024, doi: 10.ijisae.org/index.php/IJISAE/article/view/4309.

N. Shelke et al., "Development of a Temporal Analysis Model Augmented for Disease Progression Identification through Multiparametric Analysis," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 2, pp. 620–634, 2024, doi: 10.ijisae.org/index.php/IJISAE/article/view/4305.

N. Shelke et al., "Advancements in Computing: Emerging Trends in Computational Science with Next-Generation Computing," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 7, pp. 546–559, 2024, doi: 10.ijisae.org/index.php/IJISAE/article/view/4159.

N. Shelke et al., "Examining the Ethics of Public Health Interventions: Balancing Individual Rights and Collective Well-being," South Eastern European Journal of Public Health, vol. XXI, 2023, pp. 150–161, doi: 10.seejph.com/index.php/seejph/article/view/448.

N. Shelke et al., "Development of a Temporal Analysis Model Augmented for Disease Progression Identification through Multiparametric Analysis," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 2, pp. 620–634, 2024, doi: 10.ijisae.org/index.php/IJISAE/article/view/4305.

Nilesh Shelke et al., "White Blood Cell Classification Using Vision Transformer: A Benchmark Study on Multiple Public Datasets," in 6th IEEE India Council International Subsections Conference, INDISCON 2025, vol. 2025, no. 6, pp. 1–1, doi: https://ieeexplore.ieee.org/document/11252122.

Nilesh Shelke et al., "Multi-Modal AI for Cyber-Physical Threat Detection in Smart Cities: A Unified Framework for Video, Audio, and Network Data," in 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things, ICoICI, vol. 2025, no. 3, pp. 500–507, doi: https://ieeexplore.ieee.org/document/11254079.

Nilesh Shelke et al., "Federated Deep Learning for DDoS Detection in IoT: Case Studies, Challenges, and Practical Insights," in 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), vol. 2025, no. 3, pp. 1113–1118, doi: https://ieeexplore.ieee.org/document/11253371.

Nilesh Shelke et al., "Approach for Integrating a Digital Platform for Empowering Indian Farmers Through Market Access, Advisory Support and Social Media Engagement," in 2nd International Conference on Multidisciplinary Rese

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Nilesh Shelke et al., "Hybrid Transformer-CNN Neuro-Symbolic Explainable AI for Cyber Threat Intelligence: Advancing Transparency and Adversarial Robustness," in Proceedings of the IEEE International Conference on Intelligent Cyber Physical Systems and Internet, vol. 2025, no. 3, pp. 492–499, doi: https://ieeexplore.ieee.org/document/11254796.

Nilesh Shelke et al., "Leveraging Digital Twins for Enhanced Predictive Analytics in Smart Manufacturing," in 2025 International Conference on Intelligent and Secure Engineering Solutions, CISES 2025, vol. 2025, no. 1, pp. 268–273, doi: https://ieeexplore.ieee.org/document/11265070.

Nilesh Shelke et al., "Hybrid Transformer-CNN Neuro-Symbolic Explainable AI for Cyber Threat Intelligence: Advancing Transparency and Adversarial Robustness," in International Conference on Intelligent Cyber Physical Systems and Internet of Things, vol. 34, no. 3, pp. 492–499, doi: 10.1109/ICoICI65217.2025.11254796.

Nilesh Shelke et al., "Zero Trust-Enabled Digital Twins for Real-Time Anomaly Detection in Industrial Cyber Physical Systems," in IEEE International Conference on Networks, Multimedia and Information Technology, vol. 34, no. 7, pp. 45–51, doi: 10.1109/NMITCON65824.2025.11188236.

Nilesh Shelke et al., "Development of an Advanced Multi-Disease Prediction Framework Utilizing Machine Learning Techniques," in International Conference on Disruptive Technologies, vol. 78, no. 1, pp. 11–17, doi: 10.1109/ICDT63985.2025.10986715.

Nilesh Shelke et al., "Enhancing Bivariate Hawkes Processes for High-Frequency Trading," in IEEE India Council International Subsections Conference, vol. 2, no. 4, pp. 500–505, doi: 10.1109/INDISCON66021.2025.11251862.

Nilesh Shelke et al., "Multi-Modal AI for Cyber-Physical Threat Detection in Smart Cities: A Unified Framework for Video, Audio, and Network Data," in International Conference on Intelligent Cyber Physical Systems and Internet of Things, vol. 67, pp. 500–507, doi: 10.1109/ICoICI65217.2025.11254079.

Nilesh Shelke et al., "Blockchain-Enabled Federated Learning for Privacy-Preserving AI," in International Conference on Inventive Systems and Control, vol. 78, no. 1, pp. 1536–1544, doi: 10.1109/ICISC65841.2025.11187566.

Nilesh Shelke et al., "Advanced Deep Learning for Real-Time Fraud Detection in Banking: Scalable and High-Accuracy Solutions," in International Conference for Emerging Technology, vol. 77, no. 5, pp. 3–9, doi: 10.1109/INCET64471.2025.11139964.

Nilesh Shelke et al., "Why T5 Forgets Entities: Diagnosing and Mitigating Attention Failures in Summarization," in India Council International Subsections Conference, vol. 54, no. 1, pp. 13–19, doi: 10.1109/INDISCON66021.2025.11254534.

Nilesh Shelke et al., "White Blood Cell Classification Using Vision Transformer," in India Council International Subsections Conference, vol. 23, no. 1, pp. 33–40, doi: 10.1109/INDISCON66021.2025.11252122.

Nilesh Shelke et al., "AI-Powered Defense Against Advanced Persistent Threats," in International Conference on Sustainable Computing and Data Communication Systems, vol. 67, no. 1, pp. 826–831, doi: 10.1109/ICSCDS65426.2025.11166697.

Nilesh Shelke et al., "AI-Driven Cyber Threat Intelligence with Blockchain: A Federated and Privacy-Preserving Approach (FPPA) for Secure Defense," in International Conference on Inventive Systems and Control, vol. 89, no. 3, pp. 1528–1535, doi: 10.1109/ICISC65841.2025.11188430.

Nilesh Shelke et al., "Adaptive Ensemble Learning for Real Time Sign Language Recognition," in International Conference on Networks and Advances in Computational Technologies, vol. 83, no. 4, pp. 25–32, doi: 10.1109/NetACT65906.2025.11188939.

Nilesh Shelke et al., "Non-Invasive Melanoma Skin Cancer Detection Using Deep Learning," in International Conference on Intelligent and Secure Engineering Solutions, vol. 76, no. 8, pp. 162–166, doi: 10.1109/CISES66934.2025.11264972.

Nilesh Shelke et al., "Leveraging Digital Twins for Enhanced Predictive Analytics in Smart Manufacturing," in International Conference on Intelligent and Secure Engineering Solutions, vol. 56, no. 4, pp. 268–273, doi: 10.1109/CISES66934.2025.11265070.

Nilesh Shelke et al., "Quantum Neural Networks for Enhanced Predictive Analytics in Cancer Prognosis," in International Conference on Reliability, Infocom Technologies and Optimization Trends and Future Directions, vol. 432, no. 1, pp. 111–116, doi: https://www-scopus-com.elibrary.siu.edu.in/pages/publications/105029855464?origin=resultslist.

Nilesh Shelke et al., "Modifying Gesture Recognition Using CNN Algorithm Under Machine Learning," in International Conference on Smart Computing and Informatics, vol. 1683 LNNS, no. 1, pp. 1–15, doi: 10.1007/978-3-032-08243-5_1.

Nilesh Shelke et al., "Building Legal Intelligence Designing and Developing a Chatbot with LLM," in International Conference on Smart Computing and Informatics, vol. 1682 LNNS, no. 1, pp. 1–12, doi: https://www-scopus-com.elibrary.siu.edu.in/pages/publications/105028362494?origin=resultslist.

Nilesh Shelke et al., "Unlocking Banking Insights: Big Data-Powered Artificial Neural Networks," in International Conference on Smart Computing and Informatics, vol. 1682 LNNS, no. 1, pp. 13–23, doi: https://www-scopus-com.elibrary.siu.edu.in/pages/publications/105028357510?origin=resultslist.

Nilesh Shelke et al., "AI Driven Green HRM Practices and Environmental Sustainability: A Bibliometric Analysis," in International Conference on Computational Intelligence and Information Retrieval, vol. 1617 LNNS, no. 1, pp. 509–521, doi: 10.1007/978-3-032-04539-3_36.

Nilesh Shelke et al., "Federated Adversarial Learning for Scalable and Robust Zero-Day Cyber Threat Detection in IoT Networks," in Proceedings of the 2025 3rd International Conference on Inventive Computing and Informatics, pp. 1408–1414, doi: 10.1109/ICICI65870.2025.11069922.

Nilesh Shelke et al., "Data Augmentation: Synthetic Image Generation for Medical Images Using Vector Quantized Variational Autoencoders," in 3rd International Conference on Disruptive Technologies, pp. 1502–1507, doi: 10.1109/ICDT63985.2025.10986686.

Nilesh Shelke et al., "Advanced Deep Learning for Real-Time Fraud Detection in Banking: Scalable and High-Accuracy Solutions," in 2025 6th IEEE International Conference for Emerging Technology, pp. 1–6, doi: 10.1109/INCET64471.2025.11139964.

Nilesh Shelke et al., "Trustworthy and Interpretable AI for Robust Fraud Detection in Financial Transactions," in 6th International Conference for Emerging Technology, pp. 1–6, doi: 10.1109/INCET64471.2025.11140975

Nilesh Shelke et al., "Personalized Federated Learning for Privacy-Preserving and Scalable IoT-Driven Smart Healthcare," in Proceedings of the 2025 3rd International Conference on Inventive Computing and Informatics, pp. 1285–1290, doi: 10.1109/ICICI65870.2025.11069877

Nilesh Shelke et al., "Explainable Federated Learning for Secure and Transparent Medical Diagnosis in IoT-based Smart Hospitals," in Proceedings of 5th International Conference on Soft Computing for Security Applications, pp. 883–889, doi: 10.1109/ICSCSA66339.2025.11171173.

Nilesh Shelke et al., "Cloud Computing in Healthcare Services," in 2025 International Conference on Cognitive Computing in Engineering, Communications Sciences and Bio-Healthcare Informatics, pp. 951–955, doi: 10.1109/IC3ECSBHI63591.2025.10990397.

Nilesh Shelke et al., "Event-Driven Intrusion Detection Systems using Spiking Neural Networks for Edge and IoT Security," in 5th International Conference on Soft Computing for Security Applications, pp. 41–47, doi: 10.1109/ICSCSA66339.2025.11171294.

Nilesh Shelke et al., "Multilingual Sentiment Analysis: A Comprehensive Review for Indian Languages," in 2025 International Conference on Cognitive Computing in Engineering, Communications Sciences and Bio-Healthcare Informatics, pp. 978–983, doi: 10.1109/IC3ECSBHI63591.2025.10991146

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Nilesh Shelke et al., "Optimizing NPC Behavior in Video Games Using Unity ML-Agents: A Reinforcement Learning-Based Approach," in 3rd International Conference on Disruptive Technologies, pp. 1601–1606, doi: 10.1109/ICDT63985.2025.10986687

Nilesh Shelke et al., "Privacy Preserving and Scalable Secure Aggregation for Federated Learning in Edge Computing," in Proceedings of 2025 2nd International Conference on Cognitive Robotics and Intelligent Systems, pp. 182–188, doi: 10.1109/ICC-ROBINS64345.2025.11086126

Nilesh Shelke et al., "AI-Powered Intrusion Detection and Privacy Preservation in 6G Networks," in Proceedings of 2025 2nd International Conference on Cognitive Robotics and Intelligent Systems, pp. 123–128, doi: 10.1109/ICC-ROBINS64345.2025.11086288

Nilesh Shelke et al., "Improving Disaster Detection in Tweets: The Impact of Word Embedding on LSTM Model," in 2025 4th OPJU International Technology Conference on Smart Computing for Innovation and Advancement, pp. 1–6, doi: 10.1109/OTCON65728.2025.11070878.

Nilesh Shelke et al., "Transformer Based Federated Learning Framework for Heart Disease Prediction," in Proceedings of the 2025 11th International Conference on Communication and Signal Processing, pp. 47–52, doi: https://ieeexplore.ieee.org/author/37085353189

Nilesh Shelke et al., "Video Forensic Approach for Detecting Frame Insertion/Deletion Forgery," in 6th International Conference on Data Intelligence and Cognitive Informatics, pp. 509–514, doi: 10.1109/ICDICI66477.2025.11134941

Nilesh Shelke et al., "Zero Trust Architectures Empowered by AI: A Paradigm Shift in Cloud and Edge Cybersecurity," in Proceedings of 3rd International Conference on Sustainable Computing and Data Communication Systems, pp. 328–335, doi: https://ieeexplore.ieee.org/abstract/document/11166875

Nilesh Shelke et al., "Enhanced Detection of Brain Tumors using Fusion-Based Feature Optimization and Stacking Ensemble Algorithm," in 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Applications, vol. 1, no. 1, pp. 14–19, doi: https://ieeexplore.ieee.org/document/10882350

Nilesh Shelke et al., "Strengthening Cloud Security: Exploration of Authentication Frameworks in Cloud Computing Environment," in Proceedings - 4th International Conference on Technological Advancements in Computational Sciences, vol. 0, no. 0, pp. 1107–1112, doi: https://www.mdpi.com/2076-3417/13/19/10871

Nilesh Shelke et al., "An AI-based Approach to Train a Language Model on a Wide Range Corpus Using BERT," in Proceedings for 2024 IEEE International Conference on Electrical, Electronics and Computer Sciences (SCEECS), pp. 1–1, doi: 10.1109/SCEECS61402.2024.10482227

Nilesh Shelke et al., "ATS: Auto Text Summarization using Natural Language Processing," in Proceedings for 2024 IEEE International Conference on Electrical, Electronics and Computer Sciences (SCEECS), pp. 1–1, doi: 10.1109/SCEECS61402.2024.10482227

Nilesh Shelke et al., "A Comparative Study of Various Load Balancing Algorithm in Cloud Computing Environment," in Proceedings for 2024 IEEE International Conference on Electrical, Electronics and Computer Sciences (SCEECS), pp. 1–1, doi: https://ieeexplore.ieee.org/document/10482016

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Nilesh Shelke et al., "Transforming Breast Cancer Image Classification With Vision Transformers and LSTM Integration," in Proceedings for 2024 IEEE International Conference on Electrical, Electronics and Computer Sciences (SCEECS), pp. 1–1, doi: 10.1109/SCEECS61402.2024.10482221

Nilesh Shelke et al., "A Survey on Green IoT and Its Opportunities for Future Directions," in Proceedings of the International Conference on Advancements in Computational Technologies (ICACCTech), pp. 329–329, doi: 10.1109/ICACCTech61146.2023.00060

Nilesh Shelke et al., "A Recent Study of Security Techniques for IoT," in Proceedings of International Carnahan Conference on Security Technology, pp. 1–5, doi: https://ieeexplore.ieee.org/document/10474278