Controlled partial image encryption based on LSIC and chaotic map. - Parameshachari Bidare Divakarachari; Kiran; Rashmi P; Supriya M. C; Rajashekarappa; Panduranga H. T (ICCSP, 2019)

Automation of irrigation system through embedded computing technology. - Shiny Rajendrakumar; V. K. Parvati; Rajashekarappa; Parameshachari Bidare Divakarachari (ICCSP, 2019)

Demand side management of small scale loads in a smart grid using glow-worm swarm optimization technique. - C. Puttamadappa; Parameshachari Bidare Divakarachari (Microprocess. Microsystems, 2019)

Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images. - T. Kowsalya; Silvia Liberata Ullo; Chiara Zarro; K. L. Hemalatha; Parameshachari Bidare Divakarachari (CoRR, 2020)

Land-Use and Land-Cover Classification Using a Human Group-Based Particle Swarm Optimization Algorithm with an LSTM Classifier on Hybrid Pre-Processing Remote-Sensing Images. - Ganesh B. Rajendran; Uma M. Kumarasamy; Chiara Zarro; Parameshachari Bidare Divakarachari; Silvia Liberata Ullo (Remote. Sens., 2020)

Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function. - S. N. Shivappriya; M. Jasmine Pemeena Priyadarsini; Andrzej Stateczny; C. Puttamadappa; Parameshachari Bidare Divakarachari (Remote. Sens., 2021)

Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm. - Kowsalya Thiagarajan; Mukunthan Manapakkam Anandan; Andrzej Stateczny; Parameshachari Bidare Divakarachari; Hemalatha Kivudujogappa Lingappa (Remote. Sens., 2021)

Collision-Aware Routing Using Multi-Objective Seagull Optimization Algorithm for WSN-Based IoT. - Preetha Jagannathan; Sasikumar Gurumoorthy; Andrzej Stateczny; Parameshachari Bidare Divakarachari; Jewel Sengupta (Sensors, 2021)

Implementation of Speed-Efficient Key-Scheduling Process of AES for Secure Storage and Transmission of Data. - Thanikodi Manoj Kumar; Kavitha Rani Balmuri; Adam Marchewka; Parameshachari Bidare Divakarachari; Srinivas Konda (Sensors, 2021)

Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness. - Appasamy C. Sumathi; Muthuramalingam Akila; Rocío Pérez de Prado; Marcin Wozniak; Parameshachari Bidare Divakarachari (Sensors, 2021)

Offline Signature Recognition Using Image Processing Techniques and Back Propagation Neuron Network System. - P. Kiran; Parameshachari Bidare Divakarachari; J. Yashwanth; K. N. Bharath (SN Comput. Sci., 2021)

Moving Vehicle Detection and Classification Using Gaussian Mixture Model and Ensemble Deep Learning Technique. - Preetha Jagannathan; Sujatha Rajkumar; Jaroslav Frnda; Parameshachari Bidare Divakarachari; Prabu Subramani (Wirel. Commun. Mob. Comput., 2021)

An Efficient and Secure Big Data Storage in Cloud Environment by Using Triple Data Encryption Standard. - Mohan Naik Ramachandra; Madala Srinivasa Rao; Wen-Cheng Lai; Parameshachari Bidare Divakarachari; Jayachandra Ananda Babu; Hemalatha Kivudujogappa Lingappa (Big Data Cogn. Comput., 2022)

A Long Short-Term Memory Network-Based Radio Resource Management for 5G Network. - Kavitha Rani Balmuri; Srinivas Konda; Wen-Cheng Lai; Parameshachari Bidare Divakarachari; Kavitha Malali Vishveshwarappa Gowda; Hemalatha Kivudujogappa Lingappa (Future Internet, 2022)

Resource optimized Region Based Image Encryption Using Chaotic Maps. - Kiran P.; Parameshachari Bidare Divakarachari; Sudheesh K. V.; Sunil Kumar D. S. (Int. J. e Collab., 2022)

Defect Detection in Printed Circuit Boards Using Leaky-LeNet 5. - Jithendra P. R. Nayak; Parameshachari Bidare Divakarachari (Int. J. Softw. Innov., 2022)

Dynamic resource provisioning and secured file sharing using virtualization in cloud azure. - Kumaresan Perumal; Senthilkumar Mohan; Jaroslav Frnda; Parameshachari Bidare Divakarachari (J. Cloud Comput., 2022)

End-to-End Deep Policy Feedback-Based Reinforcement Learning Method for Quantization in DNNs. - R. Logesh Babu; Sasikumar Gurumoorthy; Parameshachari Bidare Divakarachari; S. Christalin Nelson; Qiaozhi Hua (J. Circuits Syst. Comput., 2022)

Deep Q-Network with Reinforcement Learning for Fault Detection in Cyber-Physical Systems. - J. Stanly Jayaprakash; M. Jasmine Pemeena Priyadarsini; Parameshachari Bidare Divakarachari; Hamid Reza Karimi; Sasikumar Gurumoorthy (J. Circuits Syst. Comput., 2022)

Computational linguistics processing in indigenous language. - Parameshachari Bidare Divakarachari; Tomasz Rak; Liyanage Chandratilake De Silva (Pattern Recognit. Lett., 2022)

Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for LULC Classification. - Andrzej Stateczny; Shanthi Mandekolu Bolugallu; Parameshachari Bidare Divakarachari; Kavithaa Ganesan; Jamuna Rani Muthu (Remote. Sens., 2022)

Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network. - Rajathi Natarajan; Geetha Megharaj; Adam Marchewka; Parameshachari Bidare Divakarachari; Manoj Raghubir Hans (Sensors, 2022)

Resource Optimized Selective Image Encryption of Medical Images Using Multiple Chaotic Systems. - P. Kiran; Parameshachari Bidare Divakarachari (Microprocess. Microsystems, 2022)

Feature Selection Using Selective Opposition Based Artificial Rabbits Optimization for Arrhythmia Classification on Internet of Medical Things Environment. - G. S. Nijaguna; N. Dayananda Lal; Parameshachari Bidare Divakarachari; Rocío Pérez de Prado; Marcin Wozniak; Raj Kumar Patra (IEEE Access, 2023)

Ultra-low power wearables. - B. D. Parameshachari; Álvaro Rocha 001; Chun Che Lance Fung (Pers. Ubiquitous Comput., 2023)

Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients. - Prabu Subramani; Srinivas Konda; Kavitha Rani Balmuri; Sujatha Rajkumar; Parameshachari Bidare Divakarachari (Pers. Ubiquitous Comput., 2023)

Multiplicative long short-term memory-based software-defined networking for handover management in 5G network. - Anil Kumar Bandani; Shaik Riyazuddien; Parameshachari Bidare Divakarachari; Sujata N. Patil; G. Arvind Kumar (Signal Image Video Process., 2023)

Quantum Fruit Fly algorithm and ResNet50-VGG16 for medical diagnosis. - G. S. Nijaguna; Jayachandra Ananda Babu; Parameshachari Bidare Divakarachari; Rocío Pérez de Prado; Jaroslav Frnda (Appl. Soft Comput., 2023)

Cooperative communication for future wireless network virtualization. - Parameshachari B. D.; Shahid Mumtaz; Ferdi Kara; Stefano Rinaldi (Phys. Commun., 2023)

Spectrum Sensing Based on Hybrid Spectrum Handoff in Cognitive Radio Networks. - Lakshminarayanan Vaduganathan; Shubhangi Neware; Przemyslaw Falkowski-Gilski; Parameshachari Bidare Divakarachari (Entropy, 2023)

Congestion centric multi-objective reptile search algorithm-based clustering and routing in cognitive radio sensor network. - D. Sunitha; Kavitha Rani Balmuri; Rocío Pérez de Prado; Parameshachari Bidare Divakarachari; R. Vijayarangan; K. L. Hemalatha (Trans. Emerg. Telecommun. Technol., 2023)

CNN-CLFFA: Support Mobile Edge Computing in Transportation Cyber Physical System. - Ashok Bhansali; Raj Kumar Patra; Parameshachari Bidare Divakarachari; Przemyslaw Falkowski-Gilski; Gandla Shivakanth; Sujatha N. Patil (IEEE Access, 2024)

AI-Driven Big Data Analytics for Mobile Healthcare. - B. D. Parameshachari; Danilo Pelusi; Bhargavi Goswami (Internet Technol. Lett., 2024)

An optimized system for sensor ontology meta-matching using swarm intelligent algorithm. - Abdul Lateef Haroon P. S; Sujata N. Patil; Parameshachari Bidare Divakarachari; Przemyslaw Falkowski-Gilski; Md Rafeeq (Internet Technol. Lett., 2024)

Classification of Covid-19 using Differential Evolution Chaotic Whale Optimization based Convolutional Neural Network. - D. P. Manoj Kumar; Sujata N. Patil; Parameshachari Bidare Divakarachari; Przemyslaw Falkowski-Gilski; R. Suganthi (Scalable Comput. Pract. Exp., 2024)

bioScience: A new python science library for high-performance computing bioinformatics analytics. - Aurelio López-Fernández; Francisco Antonio Gómez Vela; Jorge González-Domínguez; Parameshachari Bidare Divakarachari (SoftwareX, 2024)

ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing. - Jianhui Lv; Byung-Gyu Kim; Adam Slowik; B. D. Parameshachari; Saru Kumari; Chien-Ming Chen 001; Keqin Li 001 (Swarm Evol. Comput., 2024)

Generative Adversarial Privacy for Multimedia Analytics Across the IoT-Edge Continuum. - Xin Wang 134; Jianhui Lv; Byung-Gyu Kim; Carsten Maple; Parameshachari Bidare Divakarachari; Adam Slowik; Keqin Li 001 (IEEE Trans. Cloud Comput., 2024)

Blockchain-Enabled Decentralized Edge Intelligence for Trustworthy 6G Consumer Electronics. - Xin Wang 134; Achyut Shankar; Keqin Li 001; Parameshachari Bidare Divakarachari; Jianhui Lv (IEEE Trans. Consumer Electron., 2024)

An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory. - Sasirekha Natarajan; Smitha Kurian; Parameshachari Bidare Divakarachari; Przemyslaw Falkowski-Gilski (Expert Syst. J. Knowl. Eng., 2024)

Augmented Intelligence of Things for Priority-Aware Task Offloading in Vehicular Edge Computing. - Xin Wang 134; Jianhui Lv; Adam Slowik; Byung-Gyu Kim; Parameshachari Bidare Divakarachari; Keqin Li 001; Gang Feng (IEEE Internet Things J., 2024)

DLLF-2EN: Energy-Efficient Next Generation Mobile Network With Deep Learning-Based Load Forecasting. - Xin Wang 134; Jianhui Lv; Adam Slowik; Parameshachari Bidare Divakarachari; Keqin Li 001; Chien-Ming Chen 001; Saru Kumari (IEEE Trans. Netw. Serv. Manag., 2024)

An Efficient Cluster Based Routing in Wireless Sensor Networks Using Multiobjective-Perturbed Learning and Mutation Strategy Based Artificial Rabbits Optimisation. - Babiyola Arulanandam; Khalid Nazim Abdul Sattar; Rocío Pérez de Prado; Parameshachari Bidare Divakarachari (IET Commun., 2025)

Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors. - Jianhui Lv; Byung-Gyu Kim; B. D. Parameshachari; Adam Slowik; Keqin Li 001 (Inf. Fusion, 2025)

Exploring Multimodal Multiscale Features for Sentiment Analysis Using Fuzzy-Deep Neural Network Learning. - Xin Wang 134; Jianhui Lyu; Byung-Gyu Kim; Parameshachari Bidare Divakarachari; Keqin Li 001; Qing Li 006 (IEEE Trans. Fuzzy Syst., 2025)

Large Models for Cooperative Control of Connected and Autonomous Vehicles. - Xin Wang 134; Jianhui Lyu; Adam Slowik; J. Dinesh Peter; Byung-Gyu Kim; B. D. Parameshachari; Keqin Li 001 (IEEE Trans. Veh. Technol., 2025)

Low-Complexity Beamforming Design for Green Near-Field Communications in 6G Ultra-Massive Multiple-Input-Multiple-Output. - Xin Wang 134; Jianhui Lv; Adam Slowik; Byung-Gyu Kim; B. D. Parameshachari; Keqin Li 001 (IEEE Trans. Green Commun. Netw., 2025)

Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT. - Wei Liu; Feng Zhao; Achyut Shankar; Carsten Maple; James Dinesh Peter; Byung-Gyu Kim; Adam Slowik; Parameshachari Bidare Divakarachari; Jianhui Lv (IEEE J. Biomed. Health Informatics, 2025)

Explaining Sentiments: Improving Explainability in Sentiment Analysis Using Local Interpretable Model-Agnostic Explanations and Counterfactual Explanations. - Xin Wang 134; Jianhui Lyu; J. Dinesh Peter; Byung-Gyu Kim; B. D. Parameshachari; Keqin Li 001; Wei Wei 006 (IEEE Trans. Comput. Soc. Syst., 2025)