Search Results - "Chakrabarti, Tulika"

Data analytics and modelling in context to determination of moisture susceptibility of reclaimed asphalt foamed bituminous mix by Gupta, Lokesh, Kumar, Rakesh, Chakrabarti, Tulika, Chakrabarti, Prasun, Margala, Martin

“…The presence of water badly affects the moisture susceptibility of the reclaimed asphalt Foamed Bituminous Mix (FBM). The present study is mainly emphasized to…”
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Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection by Aziz, Kamran, Ji, Donghong, Chakrabarti, Prasun, Chakrabarti, Tulika, Iqbal, Muhammad Shahid, Abbasi, Rashid

“…Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to sentiment analysis, aiming to pinpoint and evaluate sentiments associated with…”
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Early diagnosis and meta-agnostic model visualization of tuberculosis based on radiography images by Natarajan, Sasikaladevi, Sampath, Pradeepa, Arunachalam, Revathi, Shanmuganathan, Vimal, Dhiman, Gaurav, Chakrabarti, Prasun, Chakrabarti, Tulika, Margala, Martin

“…Despite being treatable and preventable, tuberculosis (TB) affected one-fourth of the world population in 2019, and it took the lives of 1.4 million people in…”
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Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization by Mangalampalli, Sudheer, Swain, Sangram Keshari, Chakrabarti, Tulika, Chakrabarti, Prasun, Karri, Ganesh Reddy, Margala, Martin, Unhelkar, Bhuvan, Krishnan, Sivaneasan Bala

“…Effective scheduling algorithms are needed in the cloud paradigm to leverage services to customers seamlessly while minimizing the makespan, energy consumption…”
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Fault-Tolerant Trust-Based Task Scheduling Algorithm Using Harris Hawks Optimization in Cloud Computing by Mangalampalli, Sudheer, Karri, Ganesh Reddy, Gupta, Amit, Chakrabarti, Tulika, Nallamala, Sri Hari, Chakrabarti, Prasun, Unhelkar, Bhuvan, Margala, Martin

“…Cloud computing is a distributed computing model which renders services for cloud users around the world. These services need to be rendered to customers with…”
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Prediction of Chronic Kidney Disease - A Machine Learning Perspective by Chittora, Pankaj, Chaurasia, Sandeep, Chakrabarti, Prasun, Kumawat, Gaurav, Chakrabarti, Tulika, Leonowicz, Zbigniew, Jasinski, Michal, Jasinski, Lukasz, Gono, Radomir, Jasinska, Elzbieta, Bolshev, Vadim

“…Chronic Kidney Disease is one of the most critical illness nowadays and proper diagnosis is required as soon as possible. Machine learning technique has become…”
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Retraction Note: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Lilhore, Umesh Kumar, Dalal, Surjeet, Faujdar, Neetu, Margala, Martin, Chakrabarti, Prasun, Chakrabarti, Tulika, Simaiya, Sarita, Kumar, Pawan, Thangaraju, Pugazhenthan, Velmurugan, Hemasri

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Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach by Sharma, Akhilesh Kumar, Aggarwal, Gaurav, Bhardwaj, Sachit, Chakrabarti, Prasun, Chakrabarti, Tulika, Abawajy, Jemal H., Bhattacharyya, Siddhartha, Mishra, Richa, Das, Anirban, Mahdin, Hairulnizam

“…Music is a heavenly way of expressing feelings about the world. The language of music has vast diversity. For centuries, people have indulged in debates to…”
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Author Correction: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Lilhore, Umesh Kumar, Dalal, Surjeet, Faujdar, Neetu, Margala, Martin, Chakrabarti, Prasun, Chakrabarti, Tulika, Simaiya, Sarita, Kumar, Pawan, Thangaraju, Pugazhenthan, Velmurugan, Hemasri

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Developing an SDN security model (EnsureS) based on lightweight service path validation with batch hashing and tag verification by Pradeep, S., Sharma, Yogesh Kumar, Lilhore, Umesh Kumar, Simaiya, Sarita, Kumar, Abhishek, Ahuja, Sachin, Margala, Martin, Chakrabarti, Prasun, Chakrabarti, Tulika

“…Software-defined networking (SDN) has significantly transformed the field of network management through the consolidation of control and provision of enhanced…”
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Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network by Sharma, Akhilesh Kumar, Tiwari, Shamik, Aggarwal, Gaurav, Goenka, Nitika, Kumar, Anil, Chakrabarti, Prasun, Chakrabarti, Tulika, Gono, Radomir, Leonowicz, Zbigniew, Jasinski, Michal

“…Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis is very significant and can avoid some categories of…”
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RETRACTED ARTICLE: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Lilhore, Umesh Kumar, Dalal, Surjeet, Faujdar, Neetu, Margala, Martin, Chakrabarti, Prasun, Chakrabarti, Tulika, Simaiya, Sarita, Kumar, Pawan, Thangaraju, Pugazhenthan, Velmurugan, Hemasri

“…The patients’ vocal Parkinson’s disease (PD) changes could be identified early on, allowing for management before physically incapacitating symptoms appear. In…”
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IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation by Kumar, Jeetendra, Gupta, Rashmi, Sharma, Suvarna, Chakrabarti, Tulika, Chakrabarti, Prasun, Margala, Martin

“…The preservation of aquatic ecosystems and the availability of drinkable water sources depends on the protection of water quality. This is especially true…”
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Modeling and Control Strategy of Wind Energy Conversion System with Grid-Connected Doubly-Fed Induction Generator by Chhipą, Abrar Ahmed, Chakrabarti, Prąsun, Bolshev, Vadim, Chakrabarti, Tulika, Samarin, Gennady, Vasilyev, Alexey N., Ghosh, Sandeep, Kudryavtsev, Alexander

“…The most prominent and rapidly increasing source of electrical power generation, wind energy conversion systems (WECS), can significantly improve the situation…”
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Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing by Mangalampalli, Sudheer, Hashmi, Syed Shakeel, Gupta, Amit, Karri, Ganesh Reddy, Rajkumar, K. Varada, Chakrabarti, Tulika, Chakrabarti, Prasun, Margala, Martin

“…Workflow Scheduling is a huge challenge in cloud paradigm as many number of workflows dynamically generated from various heterogeneous resources and task…”
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An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing by Sudheer Mangalampalli, S., Reddy Karri, Ganesh, Reddy Ch, Pradeep, Sree Pokkuluri, Kiran, Chakrabarti, Prasun, Chakrabarti, Tulika

“…Workflow Scheduling is a crucial challenge in cloud computing as different task dependencies involved in workflows which makes task scheduling process more…”
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Corrections to "Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing" by Mangalampalli, Sudheer, Hashmi, Syed Shakeel, Gupta, Amit, Karri, Ganesh Reddy, Rajkumar, K. Varada, Chakrabarti, Tulika, Chakrabarti, Prasun, Margala, Martin

“…Presents corrections to the paper, (Corrections to "Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud…”
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Adaptive Neuro-Fuzzy Inference System-Based Maximum Power Tracking Controller for Variable Speed WECS by Chhipa, Abrar Ahmed, Kumar, Vinod, Joshi, Raghuveer Raj, Chakrabarti, Prasun, Jasinski, Michal, Burgio, Alessandro, Leonowicz, Zbigniew, Jasinska, Elzbieta, Soni, Rajkumar, Chakrabarti, Tulika

“…This paper proposes an adaptive neuro-fuzzy inference system (ANFIS) maximum power point tracking (MPPT) controller for grid-connected doubly fed induction…”
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Optimized Hierarchical Tree Deep Convolutional Neural Network of a Tree-Based Workload Prediction Scheme for Enhancing Power Efficiency in Cloud Computing by Selvan Chenni Chetty, Thirumalai, Bolshev, Vadim, Shankar Subramanian, Siva, Chakrabarti, Tulika, Chakrabarti, Prasun, Panchenko, Vladimir, Yudaev, Igor, Daus, Yuliia

“…Workload prediction is essential in cloud data centers (CDCs) for establishing scalability and resource elasticity. However, the workload prediction accuracy…”
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A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease by Arya, Akhilesh Deep, Verma, Sourabh Singh, Chakarabarti, Prasun, Chakrabarti, Tulika, Elngar, Ahmed A., Kamali, Ali-Mohammad, Nami, Mohammad

“…Alzheimer’s disease (AD) is a brain-related disease in which the condition of the patient gets worse with time. AD is not a curable disease by any medication…”
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