P. Chakrabarti

发表

Parking Lot Occupancy Detection Using Hybrid Deep Learning CNN-LSTM Approach

Bui Thanh Hung, P. Chakrabarti, 2022, Algorithms for Intelligent Systems.

Impact of Work Schedules on the Sleep Patterns of Railroad Workers using CHAID Neural Network and Ensemble Models of Machine Learning

P. Chakrabarti, Devyani Gupta, Nikita Pande, 2020, International Journal of Engineering and Advanced Technology.

Design and implementation of IoT sensor based drinking water quality measurement system

P. Chakrabarti, J. Shreemali, Nitin Kothari, 2021 .

Prediction of reaction parameters on reaction kinetics for treatment of industrial wastewater: A machine learning perspective

P. Chakrabarti, J. Shreemali, Sandeep Poddar, 2020 .

R. Boostani, M. Bayat, M. Sabeti, 2022, Journal of Psychophysiology.

An MRI-based Deep Learning Model to Predict Parkinson Disease Stages

P. Chakrabarti, B. Kateb, M. Nami, 2021, medRxiv.

Neural correlates in functional brain mapping among breast cancer survivors receiving different chemotherapy regimens: a qEEG/HEG-based investigation.

P. Chakrabarti, A. Kamali, M. Nami, 2022, Japanese journal of clinical oncology.

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

Zbigniew Leonowicz, P. Chakrabarti, Shamik Tiwari, 2022, IEEE Access.

Performance Analysis for Molecular Communication Under Feedback Channel Using Multipath and Single Path Technique

Ahmed A. Elngar, P. Chakrabarti, M. Margala, 2022, SSRN Electronic Journal.

A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data

P. Chakrabarti, Parthasarathi Satvaya, R. Supakar, 2022, Comput. Biol. Medicine.

Prediction Model of Wastewater Pollutant Indicators Based on Combined Normalized Codec

Yuting Bai, P. Chakrabarti, Xuewen Jin, 2022, Mathematics.

A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image Processing

Zbigniew Leonowicz, P. Chakrabarti, Massimo Mitolo, 2022, Circuits, Systems, and Signal Processing.

Aerial Separation and Receiver Arrangements on Identifying Lung Syndromes Using the Artificial Neural Network

P. Chakrabarti, Q. Naveed, S. M. Fakhrul Islam, 2022, Computational intelligence and neuroscience.

Aerial Separation andReceiverArrangements on Identifying Lung Syndromes Using the Artificial Neural Network

P. Chakrabarti, Q. Naveed, S. M. Fakhrul Islam, 2022 .

A novel multistage ensemble approach for prediction and classification of diabetes

Jasminder Kaur Sandhu, P. Chakrabarti, M. Margala, 2022, Frontiers in Physiology.

Business gain forecasting in materials industry - a linear dependency, exponential growth, moving average, neuro-associator and compound Poisson process perspective

B. Satpathy, P. Chakrabarti, Sandeep Poddar, 2020 .

Emerging Concepts in Chemical and Biological Sciences

Prasun Chakrabarti, Deepak Vyas, Amit Saha, 2020 .

A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches

Zbigniew Leonowicz, Radomir Gono, Elżbieta Jasińska, 2021, Electronics.

Discovered Facts Related to Liver Cancer Diagnosis - A Research Perspective

Prasun Chakrabarti, Manish Tiwari, P. Chakrabarti, 2016 .

A REVIEW ON CLINICAL MANIFESTATIONS OF COVID-19 VIRUS AND THE POSSIBLE ADAPTIVE IMMUNE RESPONSES

Bui Thanh Hung, P. Chakrabarti, Srinivasakumar Kp, 2021 .

Prediction of Chronic Kidney Disease - A Machine Learning Perspective

Zbigniew Leonowicz, Radomir Gono, Sandeep Chaurasia, 2021, IEEE Access.

ANN-Based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation

Mohamed Benbouzid, Ananda Shankar Hati, Prasun Chakrabarti, 2021, Machines.

Early Detection of Cardiovascular Disease in Patients with Chronic Kidney Disease using Data Mining Techniques

Avijit Kumar Chaudhuri, Arkadip Ray, P. Chakrabarti, 2020, ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY.

Analytical Soliton Solutions of the Coupled Radhakrishnan-Kundu-Lakshmanan Equation via Three Techniques

P. Chakrabarti, M. Akbar, K. Ali, 2022, Journal of Mathematics.

Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

Zbigniew Leonowicz, Arnab Kumar Maji, Elżbieta Jasińska, 2021, Electronics.

Analysis of Earthquake Forecasting in India Using Supervised Machine Learning Classifiers

Zbigniew Leonowicz, Radomir Gono, Elżbieta Jasińska, 2021, Sustainability.

Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques

P. Chakrabarti, Gaurav Kumawat, T. Chakrabarti, 2022, J. Circuits Syst. Comput..

Mechanistic insights into the role of B cells in rheumatoid arthritis.

S. Bhatia, T. Behl, P. Chakrabarti, 2021, International immunopharmacology.

Development of energy efficient drive for ventilation system using recurrent neural network

Jemal H. Abawajy, Ananda Shankar Hati, Ng Wee Keong, 2021, Neural Computing and Applications.

Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation, Pollution Index, and Dielectric Strength

Zbigniew Leonowicz, Vadim Bolshev, Krzysztof Wieczorek, 2021, IEEE Access.

Adaptive Neuro-Fuzzy Inference System-Based Maximum Power Tracking Controller for Variable Speed WECS

Zbigniew Leonowicz, Alessandro Burgio, Vinod Kumar, 2021, Energies.

Quantization-Based Event-Triggered Consensus of Multiagent Systems Against Aperiodic DoS Attacks

Peng Shi, P. Chakrabarti, Tingwen Huang, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age

Arnab Kumar Maji, Zbigniew Leonowicz, E. Jasińska, 2022, Sensors.

Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting

P. Chakrabarti, Xuewen Jin, Tingli Su, 2023, Mathematics.

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction

P. Chakrabarti, Tingli Su, Xue-bo Jin, 2023, Entropy.

Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach

Jemal H. Abawajy, Siddhartha Bhattacharyya, Hairulnizam Mahdin, 2021, IEEE Access.

Transformer prediction in the supply chain using machine learning

P. Chakrabarti, J. Shreemali, Sandeep Poddar, 2021, Materials Today: Proceedings.

Optimized Hierarchical Tree Deep Convolutional Neural Network of a Tree-Based Workload Prediction Scheme for Enhancing Power Efficiency in Cloud Computing

P. Chakrabarti, Y. Daus, V. Bolshev, 2023, Energies.

The nexus between sleep disturbances and mental health outcomes in military staff: a systematic review

A. Ahmadi, M. R. Ghadami, Habibolah Khazaie, 2022, Sleep science.

Analysis of bosom malignancy using supervised machine learning classifier

Pankaj Chittora, Prasun Chakrabarti, Sandeep Poddar, 2021 .

A machine learning perspective: To analyze diabetes

Pankaj Chittora, Prasun Chakrabarti, Sandeep Poddar, 2021 .

Simultaneous transcranial and transcutaneous spinal direct current stimulation to enhance athletic performance outcome in experienced boxers

P. Chakrabarti, B. Kateb, A. Kamali, 2021, Scientific Reports.

A novel artificial intelligence-based predictive analytics technique to detect skin cancer

Ahmed A. Elngar, Bui Thanh Hung, P. Chakrabarti, 2023, PeerJ Comput. Sci..

Stabilization of Delayed Boolean Networks Using Constrained State Pinning Control

Liqing Wang, P. Chakrabarti, Tingwen Huang, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An Approach For Cervical and Breast Cancer Classification Using Deep Learning: A Comprehensive Survey

Bui Thanh Hung, P. Chakrabarti, G. S. P. Ghantasala, 2023, 2023 International Conference on Computer Communication and Informatics (ICCCI).

DSVM-Based Model-Free Predictive Current Control of an Induction Motor

Bui Thanh Hung, Ananda Shankar Hati, P. Chakrabarti, 2023, Energies.

Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks

Ananda Shankar Hati, P. Chakrabarti, V. Bolshev, 2023, Energies.

Impact of technology on the relation between disaggregated energy consumption and CO_2 emission in populous countries of Asia

P. Chakrabarti, Z. Batool, Vipin Jain, 2023, Environmental Science and Pollution Research.

Event-Triggered Adaptive Fault-Tolerant Control for a Class of Nonlinear Multiagent Systems With Sensor and Actuator Faults

Tingwen Huang, Xin Wang, P. Chakrabarti, 2022, IEEE Transactions on Circuits and Systems I: Regular Papers.

UNDERSTANDING AND ESTIMATION OF EMOTIONAL EXPRESSION USING ACOUSTIC ANALYSIS OF NATURAL SPEECH

Divakar Yadav, Sir Padampat, Prasun Chakrabarti, 2013 .

A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system

Bui Thanh Hung, Gayatri Parasa, P. Chakrabarti, 2023, Education and Information Technologies.

Twitter sentiment analysis using hybrid gated attention recurrent network

Bui Thanh Hung, P. Chakrabarti, Amjan Shaik, 2023, Journal of Big Data.

Modeling and Control Strategy of Wind Energy Conversion System with Grid-Connected Doubly-Fed Induction Generator

Abrar Ahmed Chhipa, P. Chakrabarti, A. Vasilyev, 2022, Energies.

Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning

Chen Zhao, P. Chakrabarti, Xin Wang, 2023, IEEE Transactions on Signal and Information Processing over Networks.

Germination and probiotic fermentation: a way to enhance nutritional and biochemical properties of cereals and millets.

P. Chakrabarti, K. Kumari, Piyush Kashyap, 2023, Food science and biotechnology.

Amalgamation of Transfer Learning and Deep Convolutional Neural Network for Multiple Fault Detection in SCIM

Zbigniew Leonowicz, Sanjeevikumar Padmanaban, Prasun Chakrabarti, 2020, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease

Ahmed A. Elngar, P. Chakrabarti, A. Kamali, 2023, Brain Informatics.

Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers

Zbigniew Leonowicz, Vadim Bolshev, Ekaterina Ilchenko, 2021, IEEE Access.

Performance optimization of hybrid RAMAN-EDFA based WDM-FSO under adverse climatic conditions

Jitendra Shreemali, Payal Paliwal, Prasun Chakrabarti, 2021 .

Online Rotor and Stator Resistance Estimation Based on Artificial Neural Network Applied in Sensorless Induction Motor Drive

Zbigniew Leonowicz, Dung Vo Tien, Prasun Chakrabarti, 2020 .

Machine Learning in Student Health - A Review

P. Chakrabarti, Deivanai Gurusamy, Midhun Chakkaravarthy, 2022, 2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).

Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems

C. Ahn, P. Chakrabarti, Tingwen Huang, 2022, IEEE Transactions on Cybernetics.

Hyperspectral multi-level image thresholding using qutrit genetic algorithm

Siddhartha Bhattacharyya, Sandip Dey, Tulika Dutta, 2021, Expert Syst. Appl..

Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization

Ganesh Reddy Karri, B. Unhelkar, P. Chakrabarti, 2023, Italian National Conference on Sensors.

Prediction of Breast Cancer Biopsy Outcomes – an Approach using Machine Leaning Perspectives

Prasun Chakrabarti, Sandeep Chaurasia, Neha Chourasia, 2014 .

Multi-class Brain Tumor Classification and Segmentation using Hybrid Deep Learning Network Model

P. Chakrabarti, Koneru Suvarna Vani, Parasa Rishi Kumar, 2023, Scalable Comput. Pract. Exp..