Prasun Chakrabarti - researchr alias

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Viewing Publication 1 - 49 from 49

2025

Mutual Information-Based Generalisation Gap Analysis Using Deep Learning ModelHemanta Kumar Bhuyan, Bhuvan Unhelkar, S. Siva Shankar, Prasun Chakrabarti. jikm, 24(1), February 2025. [doi]

An evaluation on changes in hippocampus size for cognitively normal, mild cognitive impairment, and Alzheimer's disease patients using fuzzy membership functionRuhul Amin Hazarika, Arnab Kumar Maji, Debdatta Kandar, Prasun Chakrabarti, Tulika Chakrabarti, K. S. Jagannatha Rao, Jose Carvalho, Babak Kateb, Mohammad Nami. isse, 21(1):287-301, March 2025. [doi]

Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet modelP. Rajendra Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Bhuvan Unhelkar, Martin Margala. bspc, 100:107070, 2025. [doi]

Twin attention based multi-task convolutional bidirectional long short term memory for facial expression recognitionVelagapudi Sreenivas, Sivaneasan Bala Krishnan, K. Suvarna Vani, Prasun Chakrabarti. mta, 84(10):8037-8070, March 2025. [doi]

2024

Design optimization-based software-defined networking scheme for detecting and preventing attacksPanem Charanarur, Bui Thanh Hung, Prasun Chakrabarti, S. Siva Shankar. mta, 83(28):71151-71169, August 2024. [doi]

Efficient segmentation and classification of the lung carcinoma via deep learningM. M. Yamuna Devi, J. Jeyabharathi, S. Kirubakaran, Sreekumar Narayanan, T. Srikanth, Prasun Chakrabarti. mta, 83(14):41981-41995, April 2024. [doi]

IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental ConservationJeetendra Kumar, Rashmi Gupta, Suvarna Sharma, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala. access, 12:58156-58167, 2024. [doi]

Multi-class Attack Detection in IoT Using Dimensionality Reduction with Stacked Autoencoders and Classification with Long Short-Term Memory NetworksYu-Xian Lee, Chin-Shiuh Shieh, Mong-Fong Horng, Ying-Chieh Chao, Prasun Chakrabarti. icgec 2025: 337-343 [doi]

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud ComputingSudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala. access, 12:5373-5392, 2024. [doi]

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. access, 12:162730, 2024. [doi]

An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud ComputingS. Sudheer Mangalampalli, Ganesh Reddy Karri, Pradeep Reddy Ch, Kiran Sree Pokkuluri, Prasun Chakrabarti, Tulika Chakrabarti. access, 12:163424-163443, 2024. [doi]

Intelligent computational offloading for mobile-edge server computing and hybrid optimal resource allocationK. Muralidhar, S. Siva Shankar, Bhuvan Unhelkar, Tulika Chakrabarti, Prasun Chakrabarti. mta, 83(27):69947-69972, August 2024. [doi]

A trust-centric approach to intrusion detection in edge networks for medical internet of thing EcosystemsG. Nagarajan, Martin Margala, S. Siva Shankar, Prasun Chakrabarti, R. I. Minu. cee, 115:109129, 2024. [doi]

Battery SOH Estimation Using LSTM with Genetic Algorithm-Based Hyperparameter OptimizationKarthickumar Ponnambalam, B. Sivaneasan, A. Sharma, S.-S. Lee, Prasun Chakrabarti. tencon 2024: 1632-1635 [doi]

A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network systemS. Siva Shankar, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Gayatri Parasa. eait, 29(4):3859-3883, March 2024. [doi]

Open-Set Recognition in Unknown DDoS Attacks Detection With Reciprocal Points LearningChin-Shiuh Shieh, Fu-An Ho, Mong-Fong Horng, Thanh Tuan Nguyen, Prasun Chakrabarti. access, 12:56461-56476, 2024. [doi]

Cloud computing encrypted image retrieval strategy in cloud computing using a hybrid optimization algorithmR. Sundar, M. Purushotham Reddy, Abhisek Sethy, K. Selvam, Shafiqul Abidin, Prasun Chakrabarti, Valeti Nagarjuna, Ananda Ravuri, P. Selvan. jifs, 46(3):5911-5925, March 2024. [doi]

Finite-Time Observability of Boolean Networks With Markov Jump Parameters Under Mode-Dependent Pinning ControlLiqing Wang, Zheng-Guang Wu, Tingwen Huang, Prasun Chakrabarti, Wei-Wei Che. tsmc, 54(1):245-254, January 2024. [doi]

2023

Cooperative Learning of Multi-Agent Systems Via Reinforcement LearningXin Wang 0028, Chen Zhao, Tingwen Huang, Prasun Chakrabarti, Jürgen Kurths. tsipn, 9:13-23, 2023. [doi]

Prediction of Alzheimer's disease - A Machine Learning Perspective with Ensemble LearningAkhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakrabarti, Rimpy Bishnoi. ic3i 2023: 2308-2313 [doi]

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's diseaseAkhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali, Mohammad Nami. braininf, 10(1):17, December 2023. [doi]

A novel artificial intelligence-based predictive analytics technique to detect skin cancerPrasanalakshmi Balaji, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Rajanikanth Aluvalu. peerj-cs, 9, 2023. [doi]

Optimum Supply Voltage for High Gain Amplifier in Telemetry Circuitry for Ultra-Low Power Implantable Cardiac PacemakerManisha G, Amit Krishna Dwivedi, Uma Maheshwari V, Prasun Chakrabarti, Martin Margala. newcas 2023: 1-5 [doi]

Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural networkMalathy Jawahar, L. Jani Anbarasi, S. Graceline Jasmine, Febin Daya John Lionel, Vinayakumar Ravi, Prasun Chakrabarti. mta, 82(30):46651-46671, December 2023. [doi]

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality PredictionXue-bo Jin, Zhong-Yao Wang, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su, Hui-Jun Ma, Prasun Chakrabarti. entropy, 25(2):247, February 2023. [doi]

Multi-class Brain Tumor Classification and Segmentation using Hybrid Deep Learning Network ModelParasa Rishi Kumar, Kavya Bonthu, Boyapati Meghana, Koneru Suvarna Vani, Prasun Chakrabarti. scpe, 24(1):69-80, April 2023. [doi]

Prognosis of Cervical Cancer Disease by Applying Machine Learning TechniquesGaurav Kumawat, Santosh Kumar Vishwakarma, Prasun Chakrabarti, Pankaj Chittora, Tulika Chakrabarti, Jerry Chun-Wei Lin. jcsc, 32(1), January 2023. [doi]

Fault-Tolerant Trust-Based Task Scheduling Algorithm Using Harris Hawks Optimization in Cloud ComputingSudheer Mangalampalli, Ganesh Reddy Karri, Amit Gupta, Tulika Chakrabarti, Sri Hari Nallamala, Prasun Chakrabarti, Bhuvan Unhelkar, Martin Margala. sensors, 23(18):8009, September 2023. [doi]

Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm OptimizationSudheer Mangalampalli, Sangram Keshari Swain, Tulika Chakrabarti, Prasun Chakrabarti, Ganesh Reddy Karri, Martin Margala, Bhuvan Unhelkar, Sivaneasan Bala Krishnan. sensors, 23(13):6155, July 2023. [doi]

Twitter sentiment analysis using hybrid gated attention recurrent networkNikhat Parveen, Prasun Chakrabarti, Bui Thanh Hung, Amjan Shaik. jbd, 10(1):50, December 2023. [doi]

Advancing Low-Power Self-Sustaining IoT Sensors Through CdTe PV-Driven LoRa CommunicationZiyuan Qian, D. R. Thinesh, B. Sivaneasan, K. T. Tan, King-Jet Tseng, Prasun Chakrabarti. iecon 2023: 1-6 [doi]

Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump SystemsYue-Yue Tao, Zheng-Guang Wu, Tingwen Huang, Prasun Chakrabarti, Choon Ki Ahn. tcyb, 53(11):7342-7352, November 2023. [doi]

Stabilization of Delayed Boolean Networks Using Constrained State Pinning ControlLiqing Wang, Zheng-Guang Wu, Tingwen Huang, Prasun Chakrabarti. tsmc, 53(3):1596-1606, March 2023. [doi]

Quantization-Based Event-Triggered Consensus of Multiagent Systems Against Aperiodic DoS AttacksYifang Zhang, Zheng-Guang Wu, Peng Shi 0001, Tingwen Huang, Prasun Chakrabarti. tsmc, 53(6):3774-3783, June 2023. [doi]

2022

Event-Triggered Adaptive Fault-Tolerant Control for a Class of Nonlinear Multiagent Systems With Sensor and Actuator FaultsXin Wang 0028, Yuhao Zhou, Tingwen Huang, Prasun Chakrabarti. tcasI, 69(10):4203-4214, 2022. [doi]

A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image ProcessingVivek Jain, Prasun Chakrabarti, Massimo Mitolo, Zbigniew Leonowicz, Michal Jasiñski, Alexander Vinogradov, Vadim Bolshev. cssp, 41(7):3864-3881, 2022. [doi]

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural NetworkAkhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar 0009, Prasun Chakrabarti, Tulika Chakrabarti, Radomír Gono, Zbigniew Leonowicz, Michal Jasiñski. access, 10:17920-17932, 2022. [doi]

GWLBC: Gray Wolf Optimization Based Load Balanced Clustering for Sustainable WSNs in Smart City EnvironmentSurjit Singh, Srete Nikolovski, Prasun Chakrabarti. sensors, 22(19):7113, 2022. [doi]

A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG dataRinku Supakar, Parthasarathi Satvaya, Prasun Chakrabarti. cbm, 151(Part):106225, 2022. [doi]

Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and AgeImayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha 0002, Prasun Chakrabarti, Michal Jasiñski, Zbigniew Leonowicz, Elzbieta Jasinska. sensors, 22(5):1766, 2022. [doi]

2021

Prediction of Chronic Kidney Disease - A Machine Learning PerspectivePankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Lukasz Jasinski, Radomír Gono, Elzbieta Jasinska, Vadim Bolshev. access, 9:17312-17334, 2021. [doi]

Hyperspectral multi-level image thresholding using qutrit genetic algorithmTulika Dutta, Sandip Dey, Siddhartha Bhattacharyya, Somnath Mukhopadhyay, Prasun Chakrabarti. eswa, 181:115107, 2021. [doi]

Development of energy efficient drive for ventilation system using recurrent neural networkPrince, Ananda Shankar Hati, Prasun Chakrabarti, Jemal H. Abawajy, Ng Wee Keong. nca, 33(14):8659-8668, 2021. [doi]

Elastic Damping Mechanism Optimization by Indefinite Lagrange MultipliersSergey Senkevich, Vadim Bolshev, Ekaterina Ilchenko, Prasun Chakrabarti, Michal Jasiñski, Zbigniew Leonowicz, Mikhail Chaplygin. access, 9:71784-71804, 2021. [doi]

Classification of Indian Classical Music With Time-Series Matching Deep Learning ApproachAkhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal H. Abawajy, Siddhartha Bhattacharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin. access, 9:102041-102052, 2021. [doi]

Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation, Pollution Index, and Dielectric StrengthRajkumar Soni, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Krzysztof Wieczorek, Vadim Bolshev. access, 9:37456-37465, 2021. [doi]

2019

Business Forecasting in the Light of Statistical Approaches and Machine Learning ClassifiersPrasun Chakrabarti, Biswajit Satpathy, Siddhant Bane, Tulika Chakrabarti, Narendra S. Chaudhuri, Pierluigi Siano. icacds 2019: 13-21 [doi]

2013

Monitoring Users in Cloud Computing: Evaluating the Centralized ApproachAjay Prasad, Divya Gupta, Prasun Chakrabarti. adcons 2013: 112-116 [doi]

2010

Business Planning in the Light of Neuro-fuzzy and Predictive ForecastingPrasun Chakrabarti, Jayanta Kumar Basu, Tai-Hoon Kim. fgit 2010: 283-290 [doi]

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