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Prasun Chakrabarti
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2020 – today
- 2025
- [j40]P. Rajendra Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Bhuvan Unhelkar, Martin Margala:
Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet model. Biomed. Signal Process. Control. 100: 107070 (2025) - 2024
- [j39]Sudheer Mangalampalli
, Syed Shakeel Hashmi
Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing. IEEE Access 12: 5373-5392 (2024) - [j38]Chin-Shiuh Shieh
Open-Set Recognition in Unknown DDoS Attacks Detection With Reciprocal Points Learning. IEEE Access 12: 56461-56476 (2024) - [j37]Jeetendra Kumar
IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation. IEEE Access 12: 58156-58167 (2024) - [j36]Sudheer Mangalampalli
Corrections to "Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing". IEEE Access 12: 162730 (2024) - [j35]S. Sudheer Mangalampalli
An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing. IEEE Access 12: 163424-163443 (2024) - [j34]G. Nagarajan, Martin Margala, S. Siva Shankar, Prasun Chakrabarti, R. I. Minu:
A trust-centric approach to intrusion detection in edge networks for medical internet of thing Ecosystems. Comput. Electr. Eng. 115: 109129 (2024) - [j33]S. Siva Shankar, Bui Thanh Hung
A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system. Educ. Inf. Technol. 29(4): 3859-3883 (2024) - [j32]R. Sundar, M. Purushotham Reddy, Abhisek Sethy, K. Selvam, Shafiqul Abidin, Prasun Chakrabarti, Valeti Nagarjuna, Ananda Ravuri, P. Selvan:
Cloud computing encrypted image retrieval strategy in cloud computing using a hybrid optimization algorithm. J. Intell. Fuzzy Syst. 46(3): 5911-5925 (2024) - [j31]P. Dileep Kumar Reddy, Martin Margala, S. Siva Shankar, Prasun Chakrabarti:
Early fire danger monitoring system in smart cities using optimization-based deep learning techniques with artificial intelligence. J. Reliab. Intell. Environ. 10(2): 197-210 (2024) - [j30]M. M. Yamuna Devi, J. Jeyabharathi, S. Kirubakaran, Sreekumar Narayanan, T. Srikanth
Efficient segmentation and classification of the lung carcinoma via deep learning. Multim. Tools Appl. 83(14): 41981-41995 (2024) - [j29]K. Muralidhar, S. Siva Shankar, Bhuvan Unhelkar, Tulika Chakrabarti, Prasun Chakrabarti:
Intelligent computational offloading for mobile-edge server computing and hybrid optimal resource allocation. Multim. Tools Appl. 83(27): 69947-69972 (2024) - [j28]Panem Charanarur, Bui Thanh Hung
Design optimization-based software-defined networking scheme for detecting and preventing attacks. Multim. Tools Appl. 83(28): 71151-71169 (2024) - [j27]Liqing Wang
Finite-Time Observability of Boolean Networks With Markov Jump Parameters Under Mode-Dependent Pinning Control. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 245-254 (2024) - 2023
- [j26]Akhilesh Deep Arya
A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease. Brain Informatics 10(1): 17 (2023) - [j25]Xue-bo Jin
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. Entropy 25(2): 247 (2023) - [j24]Nikhat Parveen
Twitter sentiment analysis using hybrid gated attention recurrent network. J. Big Data 10(1): 50 (2023) - [j23]Gaurav Kumawat
Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques. J. Circuits Syst. Comput. 32(1): 2350019:1-2350019:24 (2023) - [j22]Malathy Jawahar, L. Jani Anbarasi, S. Graceline Jasmine, Febin Daya John Lionel, Vinayakumar Ravi, Prasun Chakrabarti:
Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network. Multim. Tools Appl. 82(30): 46651-46671 (2023) - [j21]Prasanalakshmi Balaji
A novel artificial intelligence-based predictive analytics technique to detect skin cancer. PeerJ Comput. Sci. 9: e1387 (2023) - [j20]Parasa Rishi Kumar, Kavya Bonthu, Boyapati Meghana, Koneru Suvarna Vani, Prasun Chakrabarti:
Multi-class Brain Tumor Classification and Segmentation using Hybrid Deep Learning Network Model. Scalable Comput. Pract. Exp. 24(1): 69-80 (2023) - [j19]Sudheer Mangalampalli
Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization. Sensors 23(13): 6155 (2023) - [j18]Sudheer Mangalampalli
Fault-Tolerant Trust-Based Task Scheduling Algorithm Using Harris Hawks Optimization in Cloud Computing. Sensors 23(18): 8009 (2023) - [j17]Yue-Yue Tao
Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems. IEEE Trans. Cybern. 53(11): 7342-7352 (2023) - [j16]Xin Wang
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning. IEEE Trans. Signal Inf. Process. over Networks 9: 13-23 (2023) - [j15]Liqing Wang
Stabilization of Delayed Boolean Networks Using Constrained State Pinning Control. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1596-1606 (2023) - [j14]Yifang Zhang
Quantization-Based Event-Triggered Consensus of Multiagent Systems Against Aperiodic DoS Attacks. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3774-3783 (2023) - [c6]Akhilesh Deep Arya
Prediction of Alzheimer's disease - A Machine Learning Perspective with Ensemble Learning. IC3I 2023: 2308-2313 - [c5]Ziyuan Qian, D. R. Thinesh, B. Sivaneasan, K. T. Tan, King-Jet Tseng, Prasun Chakrabarti:
Advancing Low-Power Self-Sustaining IoT Sensors Through CdTe PV-Driven LoRa Communication. IECON 2023: 1-6 - [c4]Manisha G
Optimum Supply Voltage for High Gain Amplifier in Telemetry Circuitry for Ultra-Low Power Implantable Cardiac Pacemaker. NEWCAS 2023: 1-5 - 2022
- [j13]Akhilesh Kumar Sharma
Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. IEEE Access 10: 17920-17932 (2022) - [j12]Rinku Supakar
A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data. Comput. Biol. Medicine 151(Part): 106225 (2022) - [j11]Vivek Jain
A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image Processing. Circuits Syst. Signal Process. 41(7): 3864-3881 (2022) - [j10]Imayanmosha Wahlang
Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age. Sensors 22(5): 1766 (2022) - [j9]Surjit Singh
GWLBC: Gray Wolf Optimization Based Load Balanced Clustering for Sustainable WSNs in Smart City Environment. Sensors 22(19): 7113 (2022) - [j8]Xin Wang
Event-Triggered Adaptive Fault-Tolerant Control for a Class of Nonlinear Multiagent Systems With Sensor and Actuator Faults. IEEE Trans. Circuits Syst. I Regul. Pap. 69(10): 4203-4214 (2022) - 2021
- [j7]Pankaj Chittora
Prediction of Chronic Kidney Disease - A Machine Learning Perspective. IEEE Access 9: 17312-17334 (2021) - [j6]Rajkumar Soni
Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation, Pollution Index, and Dielectric Strength. IEEE Access 9: 37456-37465 (2021) - [j5]Sergey Senkevich
Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers. IEEE Access 9: 71784-71804 (2021) - [j4]Akhilesh Kumar Sharma
Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. IEEE Access 9: 102041-102052 (2021) - [j3]Tulika Dutta
Hyperspectral multi-level image thresholding using qutrit genetic algorithm. Expert Syst. Appl. 181: 115107 (2021) - [j2]Prince
Development of energy efficient drive for ventilation system using recurrent neural network. Neural Comput. Appl. 33(14): 8659-8668 (2021)
2010 – 2019
- 2019
- [c3]Prasun Chakrabarti, Biswajit Satpathy, Siddhant Bane, Tulika Chakrabarti, Narendra S. Chaudhuri, Pierluigi Siano
Business Forecasting in the Light of Statistical Approaches and Machine Learning Classifiers. ICACDS (1) 2019: 13-21 - 2013
- [j1]Ajay Prasad, Prasun Chakrabarti:
Centralized Access Management and Monitoring as a Service in Cloud Environments-A Critical Study. Comput. Inf. Sci. 6(2): 126-133 (2013) - [c2]Ajay Prasad
Monitoring Users in Cloud Computing: Evaluating the Centralized Approach. ADCONS 2013: 112-116 - 2010
- [c1]Prasun Chakrabarti, Jayanta Kumar Basu, Tai-Hoon Kim:
Business Planning in the Light of Neuro-fuzzy and Predictive Forecasting. FGIT-SIP/MulGraB 2010: 283-290
Coauthor Index
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