Business Planning in the Light of Neuro-fuzzy and Predictive Forecasting. - Prasun Chakrabarti; Jayanta Kumar Basu; Tai-Hoon Kim (FGIT-SIP/MulGraB, 2010)

Monitoring Users in Cloud Computing: Evaluating the Centralized Approach. - Ajay Prasad; Divya Gupta; Prasun Chakrabarti (ADCONS, 2013)

Centralized Access Management and Monitoring as a Service in Cloud Environments-A Critical Study. - Ajay Prasad; Prasun Chakrabarti (Comput. Inf. Sci., 2013)

Business Forecasting in the Light of Statistical Approaches and Machine Learning Classifiers. - Prasun Chakrabarti; Biswajit Satpathy; Siddhant Bane; Tulika Chakrabarti; Narendra S. Chaudhuri; Pierluigi Siano (ICACDS (1), 2019)

Prediction of Chronic Kidney Disease - A Machine Learning Perspective. - Pankaj Chittora; Sandeep Chaurasia; Prasun Chakrabarti; Gaurav Kumawat; Tulika Chakrabarti; Zbigniew Leonowicz; Michal Jasiñski; Lukasz Jasinski; Radomír Gono; Elzbieta Jasinska; Vadim Bolshev (IEEE Access, 2021)

Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers. - Sergey Senkevich; Vadim Bolshev; Ekaterina Ilchenko; Prasun Chakrabarti; Michal Jasiñski; Zbigniew Leonowicz; Mikhail Chaplygin (IEEE Access, 2021)

Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. - Akhilesh Kumar Sharma; Gaurav Aggarwal; Sachit Bhardwaj; Prasun Chakrabarti; Tulika Chakrabarti; Jemal H. Abawajy; Siddhartha Bhattacharyya; Richa Mishra; Anirban Das; Hairulnizam Mahdin (IEEE Access, 2021)

Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation, Pollution Index, and Dielectric Strength. - Rajkumar Soni; Prasun Chakrabarti; Zbigniew Leonowicz; Michal Jasiñski; Krzysztof Wieczorek; Vadim Bolshev (IEEE Access, 2021)

Hyperspectral multi-level image thresholding using qutrit genetic algorithm. - Tulika Dutta; Sandip Dey; Siddhartha Bhattacharyya; Somnath Mukhopadhyay; Prasun Chakrabarti (Expert Syst. Appl., 2021)

Development of energy efficient drive for ventilation system using recurrent neural network. - Prince 001; Ananda Shankar Hati; Prasun Chakrabarti; Jemal H. Abawajy; Ng Wee Keong (Neural Comput. Appl., 2021)

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. - Akhilesh Kumar Sharma; Shamik Tiwari; Gaurav Aggarwal; Nitika Goenka; Anil Kumar 009; Prasun Chakrabarti; Tulika Chakrabarti; Radomír Gono; Zbigniew Leonowicz; Michal Jasiñski (IEEE Access, 2022)

A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data. - Rinku Supakar; Parthasarathi Satvaya; Prasun Chakrabarti (Comput. Biol. Medicine, 2022)

A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image Processing. - Vivek Jain; Prasun Chakrabarti; Massimo Mitolo; Zbigniew Leonowicz; Michal Jasiñski; Alexander V. Vinogradov; Vadim Bolshev (Circuits Syst. Signal Process., 2022)

GWLBC: Gray Wolf Optimization Based Load Balanced Clustering for Sustainable WSNs in Smart City Environment. - Surjit Singh; Srete Nikolovski; Prasun Chakrabarti (Sensors, 2022)

Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age. - Imayanmosha Wahlang; Arnab Kumar Maji; Goutam Saha 002; Prasun Chakrabarti; Michal Jasiñski; Zbigniew Leonowicz; Elzbieta Jasinska (Sensors, 2022)

Event-Triggered Adaptive Fault-Tolerant Control for a Class of Nonlinear Multiagent Systems With Sensor and Actuator Faults. - Xin Wang 028; Yuhao Zhou; Tingwen Huang; Prasun Chakrabarti (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Prediction of Alzheimer's disease - A Machine Learning Perspective with Ensemble Learning. - Akhilesh Deep Arya; Sourabh Singh Verma; Prasun Chakrabarti; Rimpy Bishnoi (IC3I, 2023)

Advancing Low-Power Self-Sustaining IoT Sensors Through CdTe PV-Driven LoRa Communication. - Ziyuan Qian; D. R. Thinesh; B. Sivaneasan; K. T. Tan; King-Jet Tseng; Prasun Chakrabarti (IECON, 2023)

Optimum Supply Voltage for High Gain Amplifier in Telemetry Circuitry for Ultra-Low Power Implantable Cardiac Pacemaker. - Manisha G; Amit Krishna Dwivedi; V. Uma Maheswari 001; Prasun Chakrabarti; Martin Margala (NEWCAS, 2023)

A novel artificial intelligence-based predictive analytics technique to detect skin cancer. - Prasanalakshmi Balaji; Bui Thanh Hung; Prasun Chakrabarti; Tulika Chakrabarti; Ahmed A. Elngar; Rajanikanth Aluvalu (PeerJ Comput. Sci., 2023)

Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning. - Xin Wang 028; Chen Zhao; Tingwen Huang; Prasun Chakrabarti; Jürgen Kurths (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques. - Gaurav Kumawat; Santosh Kumar Vishwakarma; Prasun Chakrabarti; Pankaj Chittora; Tulika Chakrabarti; Jerry Chun-Wei Lin (J. Circuits Syst. Comput., 2023)

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. - Xue-bo Jin 001; Zhong-Yao Wang; Jian-Lei Kong; Yu-Ting Bai; Ting-Li Su 001; Hui-Jun Ma; Prasun Chakrabarti (Entropy, 2023)

Stabilization of Delayed Boolean Networks Using Constrained State Pinning Control. - Liqing Wang; Zheng-Guang Wu; Tingwen Huang; Prasun Chakrabarti (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Multi-class Brain Tumor Classification and Segmentation using Hybrid Deep Learning Network Model. - Parasa Rishi Kumar; Kavya Bonthu; Boyapati Meghana; Koneru Suvarna Vani; Prasun Chakrabarti (Scalable Comput. Pract. Exp., 2023)

Quantization-Based Event-Triggered Consensus of Multiagent Systems Against Aperiodic DoS Attacks. - Yifang Zhang; Zheng-Guang Wu; Peng Shi 001; Tingwen Huang; Prasun Chakrabarti (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization. - Sudheer Mangalampalli; Sangram Keshari Swain; Tulika Chakrabarti; Prasun Chakrabarti; Ganesh Reddy Karri; Martin Margala; Bhuvan Unhelkar; Sivaneasan Bala Krishnan (Sensors, 2023)

Fault-Tolerant Trust-Based Task Scheduling Algorithm Using Harris Hawks Optimization in Cloud Computing. - Sudheer Mangalampalli; Ganesh Reddy Karri; Amit Gupta; Tulika Chakrabarti; Sri Hari Nallamala; Prasun Chakrabarti; Bhuvan Unhelkar; Martin Margala (Sensors, 2023)

Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems. - Yue-Yue Tao; Zheng-Guang Wu; Tingwen Huang; Prasun Chakrabarti; Choon Ki Ahn (IEEE Trans. Cybern., 2023)

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease. - Akhilesh Deep Arya; Sourabh Singh Verma; Prasun Chakrabarti; Tulika Chakrabarti; Ahmed A. Elngar; Ali-Mohammad Kamali; Mohammad Nami (Brain Informatics, 2023)

Twitter sentiment analysis using hybrid gated attention recurrent network. - Nikhat Parveen; Prasun Chakrabarti; Bui Thanh Hung; Amjan Shaik (J. Big Data, 2023)

Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network. - Malathy Jawahar; L. Jani Anbarasi; S. Graceline Jasmine; Febin Daya John Lionel; Vinayakumar Ravi; Prasun Chakrabarti (Multim. Tools Appl., 2023)

Multi-class Attack Detection in IoT Using Dimensionality Reduction with Stacked Autoencoders and Classification with Long Short-Term Memory Networks. - Yu-Xian Lee; Chin-Shiuh Shieh; Mong-Fong Horng; Ying-Chieh Chao; Prasun Chakrabarti (ICGEC (1), 2024)

Battery SOH Estimation Using LSTM with Genetic Algorithm-Based Hyperparameter Optimization. - Karthickumar Ponnambalam; B. Sivaneasan; A. Sharma; S. S. Lee; Prasun Chakrabarti (TENCON, 2024)

IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation. - Jeetendra Kumar; Rashmi Gupta; Suvarna Sharma; Tulika Chakrabarti; Prasun Chakrabarti; Martin Margala (IEEE Access, 2024)

Corrections to "Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing". - Sudheer Mangalampalli; Syed Shakeel Hashmi; Amit Gupta; Ganesh Reddy Karri; Varada Rajkumar Kukkala; Tulika Chakrabarti; Prasun Chakrabarti; Martin Margala (IEEE Access, 2024)

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing. - Sudheer Mangalampalli; Syed Shakeel Hashmi; Amit Gupta; Ganesh Reddy Karri; Varada Rajkumar Kukkala; Tulika Chakrabarti; Prasun Chakrabarti; Martin Margala (IEEE Access, 2024)

An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing. - S. Sudheer Mangalampalli; Ganesh Reddy Karri; Pradeep Reddy Ch; Kiran Sree Pokkuluri; Prasun Chakrabarti; Tulika Chakrabarti (IEEE Access, 2024)

Open-Set Recognition in Unknown DDoS Attacks Detection With Reciprocal Points Learning. - Chin-Shiuh Shieh; Fu-An Ho; Mong-Fong Horng; Thanh-Tuan Nguyen; Prasun Chakrabarti (IEEE Access, 2024)

A trust-centric approach to intrusion detection in edge networks for medical internet of thing Ecosystems. - G. Nagarajan; Martin Margala; S. Siva Shankar; Prasun Chakrabarti; R. I. Minu (Comput. Electr. Eng., 2024)

Finite-Time Observability of Boolean Networks With Markov Jump Parameters Under Mode-Dependent Pinning Control. - Liqing Wang; Zheng-Guang Wu; Tingwen Huang; Prasun Chakrabarti; Wei-Wei Che (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system. - S. Siva Shankar; Bui Thanh Hung; Prasun Chakrabarti; Tulika Chakrabarti; Gayatri Parasa (Educ. Inf. Technol., 2024)

Efficient segmentation and classification of the lung carcinoma via deep learning. - M. M. Yamuna Devi; J. Jeyabharathi; S. Kirubakaran; Sreekumar Narayanan; T. Srikanth; Prasun Chakrabarti (Multim. Tools Appl., 2024)

Early fire danger monitoring system in smart cities using optimization-based deep learning techniques with artificial intelligence. - P. Dileep Kumar Reddy; Martin Margala; S. Siva Shankar; Prasun Chakrabarti (J. Reliab. Intell. Environ., 2024)

Design optimization-based software-defined networking scheme for detecting and preventing attacks. - Panem Charanarur; Bui Thanh Hung; Prasun Chakrabarti; S. Siva Shankar (Multim. Tools Appl., 2024)

Intelligent computational offloading for mobile-edge server computing and hybrid optimal resource allocation. - K. Muralidhar; S. Siva Shankar; Bhuvan Unhelkar; Tulika Chakrabarti; Prasun Chakrabarti (Multim. Tools Appl., 2024)

Corrections to "IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation". - Jeetendra Kumar; Rashmi Gupta; Suvarna Sharma; Tulika Chakrabarti; Prasun Chakrabarti; Martin Margala (IEEE Access, 2025)

Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet model. - Parvathaneni Rajendra Kumar; Prasun Chakrabarti; Tulika Chakrabarti; Bhuvan Unhelkar; Martin Margala (Biomed. Signal Process. Control., 2025)

A deep embedded clustering approach for detecting trend class using time-series sensor data. - Lakshmi Prasanthi Malyala; Sivaneasan Bala Krishnan; Kvenkata Prasad; Prasun Chakrabarti (Knowl. Based Syst., 2025)

Mutual Information-Based Generalisation Gap Analysis Using Deep Learning Model. - Hemanta Kumar Bhuyan; Bhuvan Unhelkar; S. Siva Shankar; Prasun Chakrabarti (J. Inf. Knowl. Manag., 2025)

An evaluation on changes in hippocampus size for cognitively normal, mild cognitive impairment, and Alzheimer's disease patients using fuzzy membership function. - Ruhul Amin Hazarika; Arnab Kumar Maji; Debdatta Kandar; Prasun Chakrabarti; Tulika Chakrabarti; K. S. Jagannatha Rao; Jose Carvalho; Babak Kateb; Mohammad Nami (Innov. Syst. Softw. Eng., 2025)

Twin attention based multi-task convolutional bidirectional long short term memory for facial expression recognition. - Velagapudi Sreenivas; Sivaneasan Bala Krishnan; K. Suvarna Vani; Prasun Chakrabarti (Multim. Tools Appl., 2025)

Artificial intelligence based machine learning algorithm for prediction of cancer in female anatomy. - G. S. Pradeep Ghantasala; Bui Thanh Hung; Prasun Chakrabarti; Sathiyaraj R; Vidyullatha Pellakuri (Multim. Tools Appl., 2025)

Secure Event-Based Consensus Control for Multi-Agent Systems Under DoS Attacks and Input Saturation. - Yifang Zhang; Zheng-Guang Wu; Ka-Wai Kwok; Tingwen Huang; Prasun Chakrabarti; Le Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Prediction of energy consumption and airflow of a ventilation system: A SAGA-optimised back-propagation neural network-based approach. - Prince 001; Byungun Yoon; Ananda Shankar Hati; Prashant Kumar; Prasun Chakrabarti (Expert Syst. Appl., 2026)