Tulika Chakrabarti

According to our database, Tulika Chakrabarti authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet model.

P. Rajendra Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Bhuvan Unhelkar, Martin Margala

Biomed. Signal Process. Control., 2025

2024

Intelligent computational offloading for mobile-edge server computing and hybrid optimal resource allocation.

K. Muralidhar, S. Siva Shankar, Bhuvan Unhelkar, Tulika Chakrabarti, Prasun Chakrabarti

Multim. Tools Appl., August, 2024

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

S. Siva Shankar, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Gayatri Parasa

Educ. Inf. Technol., March, 2024

An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing.

S. Sudheer Mangalampalli, Ganesh Reddy Karri, Pradeep Reddy Ch, Kiran Sree Pokkuluri, Prasun Chakrabarti, Tulika Chakrabarti

IEEE Access, 2024

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

IEEE Access, 2024

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

IEEE Access, 2024

IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation.

Jeetendra Kumar, Rashmi Gupta, Suvarna Sharma, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

IEEE Access, 2024

2023

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

Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali, Mohammad Nami

Brain Informatics, December, 2023

Fault-Tolerant Trust-Based Task Scheduling Algorithm Using Harris Hawks Optimization in Cloud Computing.

Sudheer Mangalampalli, Ganesh Reddy Karri, Amit Gupta, Tulika Chakrabarti, Sri Hari Nallamala, Prasun Chakrabarti, Bhuvan Unhelkar, Martin Margala

Sensors, September, 2023

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

Sudheer Mangalampalli, Sangram Keshari Swain, Tulika Chakrabarti, Prasun Chakrabarti, Ganesh Reddy Karri, Martin Margala, Bhuvan Unhelkar, Sivaneasan Bala Krishnan

Sensors, July, 2023

Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques.

Gaurav Kumawat, Santosh Kumar Vishwakarma, Prasun Chakrabarti, Pankaj Chittora, Tulika Chakrabarti, Jerry Chun-Wei Lin

J. Circuits Syst. Comput., January, 2023

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

Prasanalakshmi Balaji, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Rajanikanth Aluvalu

PeerJ Comput. Sci., 2023

2022

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

Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomír Gono, Zbigniew Leonowicz, Michal Jasiñski

IEEE Access, 2022

2021

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

Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal H. Abawajy, Siddhartha Bhattacharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin

IEEE Access, 2021

Prediction of Chronic Kidney Disease - A Machine Learning Perspective.

Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Lukasz Jasinski, Radomír Gono, Elzbieta Jasinska, Vadim Bolshev

IEEE Access, 2021

2019

Business Forecasting in the Light of Statistical Approaches and Machine Learning Classifiers.

Prasun Chakrabarti, Biswajit Satpathy, Siddhant Bane, Tulika Chakrabarti, Narendra S. Chaudhuri, Pierluigi Siano

Proceedings of the Advances in Computing and Data Sciences, 2019