Tulika Chakrabarti

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Resource Allocation

Machine Learning

Top Venues

Educ. Inf. Technol.

Multim. Tools Appl.

Publications

Jeetendra Kumar, Rashmi Gupta, Suvarna Sharma, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala
IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation. IEEE Access 12 (2024)
Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala
Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing. IEEE Access 12 (2024)
S. Siva Shankar, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Gayatri Parasa
A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system. Educ. Inf. Technol. 29 (4) (2024)
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) (2024)
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) (2023)
Sudheer Mangalampalli, Ganesh Reddy Karri, Amit Gupta, Tulika Chakrabarti, Sri Hari Nallamala, Prasun Chakrabarti, Bhuvan Unhelkar, Martin Margala
Fault-Tolerant Trust-Based Task Scheduling Algorithm Using Harris Hawks Optimization in Cloud Computing. Sensors 23 (18) (2023)
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) (2023)
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 (2023)
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) (2023)
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 (2022)
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 (2021)
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 (2021)
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)