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2020 – today
- 2023
[j24]Akhilesh Deep Arya
, Sourabh Singh Verma, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali, Mohammad Nami:
A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease. Brain Informatics 10(1): 17 (2023)- [j23]Xue-bo Jin, Zhong-Yao Wang, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su, Hui-Jun Ma, Prasun Chakrabarti:
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. Entropy 25(2): 247 (2023) - [j22]Nikhat Parveen, Prasun Chakrabarti, Bui Thanh Hung, Amjan Shaik:
Twitter sentiment analysis using hybrid gated attention recurrent network. J. Big Data 10(1): 50 (2023) - [j21]Gaurav Kumawat, Santosh Kumar Vishwakarma, Prasun Chakrabarti, Pankaj Chittora, Tulika Chakrabarti, Jerry Chun-Wei Lin:
Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques. J. Circuits Syst. Comput. 32(1): 2350019:1-2350019:24 (2023) - [j20]Prasanalakshmi Balaji, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Rajanikanth Aluvalu:
A novel artificial intelligence-based predictive analytics technique to detect skin cancer. PeerJ Comput. Sci. 9: e1387 (2023) - [j19]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) - [j18]Sudheer Mangalampalli, Sangram Keshari Swain, Tulika Chakrabarti, Prasun Chakrabarti, Ganesh Reddy Karri, Martin Margala, Bhuvan Unhelkar, Sivaneasan Bala Krishnan:
Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization. Sensors 23(13): 6155 (2023) - [j17]Yue-Yue Tao, Zheng-Guang Wu, Tingwen Huang, Prasun Chakrabarti, Choon Ki Ahn:
Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems. IEEE Trans. Cybern. 53(11): 7342-7352 (2023) - [j16]Xin Wang, Chen Zhao, Tingwen Huang, Prasun Chakrabarti, Jürgen Kurths:
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning. IEEE Trans. Signal Inf. Process. over Networks 9: 13-23 (2023) - [j15]Liqing Wang, Zheng-Guang Wu, Tingwen Huang, Prasun Chakrabarti:
Stabilization of Delayed Boolean Networks Using Constrained State Pinning Control. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1596-1606 (2023) - [j14]Yifang Zhang, Zheng-Guang Wu, Peng Shi, Tingwen Huang, Prasun Chakrabarti:
Quantization-Based Event-Triggered Consensus of Multiagent Systems Against Aperiodic DoS Attacks. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3774-3783 (2023) - [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, Amit Krishna Dwivedi, Uma Maheshwari V, Prasun Chakrabarti, Martin Margala:
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, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomír Gono, Zbigniew Leonowicz, Michal Jasiñski:
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, Parthasarathi Satvaya, Prasun Chakrabarti:
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, Prasun Chakrabarti, Massimo Mitolo, Zbigniew Leonowicz, Michal Jasiñski, Alexander V. Vinogradov, Vadim Bolshev:
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, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michal Jasiñski, Zbigniew Leonowicz, Elzbieta Jasinska:
Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age. Sensors 22(5): 1766 (2022) - [j9]Surjit Singh, Srete Nikolovski, Prasun Chakrabarti:
GWLBC: Gray Wolf Optimization Based Load Balanced Clustering for Sustainable WSNs in Smart City Environment. Sensors 22(19): 7113 (2022) - [j8]Xin Wang, Yuhao Zhou, Tingwen Huang, Prasun Chakrabarti:
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, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Lukasz Jasinski, Radomír Gono, Elzbieta Jasinska, Vadim Bolshev:
Prediction of Chronic Kidney Disease - A Machine Learning Perspective. IEEE Access 9: 17312-17334 (2021) - [j6]Rajkumar Soni, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Krzysztof Wieczorek, Vadim Bolshev:
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, Vadim Bolshev, Ekaterina Ilchenko, Prasun Chakrabarti, Michal Jasiñski, Zbigniew Leonowicz, Mikhail Chaplygin:
Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers. IEEE Access 9: 71784-71804 (2021) - [j4]Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal H. Abawajy, Siddhartha Bhattacharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin:
Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. IEEE Access 9: 102041-102052 (2021) - [j3]Tulika Dutta, Sandip Dey, Siddhartha Bhattacharyya, Somnath Mukhopadhyay, Prasun Chakrabarti:
Hyperspectral multi-level image thresholding using qutrit genetic algorithm. Expert Syst. Appl. 181: 115107 (2021) - [j2]Prince, Ananda Shankar Hati, Prasun Chakrabarti, Jemal H. Abawajy, Ng Wee Keong:
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, Divya Gupta, Prasun Chakrabarti:
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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last updated on 2023-11-28 20:06 CET by the dblp team
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