Search Results - "Chakraborty, Chinmay"
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Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System
Published in Wireless personal communications (01-11-2022)“…Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and accurate results. The early predictions of disease help doctors to…”
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Computational approach for chronic wound tissue characterization
Published in Informatics in medicine unlocked (2019)“…This paper describes an automated diagnostic system for continuous chronic wound status monitoring. Accurate and periodic wound assessment is important for…”
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Early and accurate prediction of diabetics based on FCBF feature selection and SMOTE
Published in International journal of system assurance engineering and management (01-10-2024)“…Diabetes is a chronic hyperglycemic disorder. Every year hundreds of millions of people around the world have diabetes. The presence of irrelevant features and…”
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Optimized multimedia data through computationally intelligent algorithms
Published in Multimedia systems (01-10-2023)“…In the field of data exchange, the security of information is the critical aspect. This void in the security helped the evolution of steganography to address…”
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Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
Published in Multimedia systems (01-08-2022)“…Literature survey shows that convolutional neural network (CNN)-based pretrained models have been largely used for CoronaVirus Disease 2019 (COVID-19)…”
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Reinforcement learning for medical information processing over heterogeneous networks
Published in Multimedia tools and applications (01-07-2021)“…Fog computing is an emerging trend in the healthcare sector for the care of patients in emergencies. Fog computing provides better results in healthcare by…”
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A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning
Published in International journal of interactive multimedia and artificial intelligence (01-09-2021)“…In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices…”
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Anonymity Preserving IoT-Based COVID-19 and Other Infectious Disease Contact Tracing Model
Published in IEEE access (01-01-2020)“…Automated digital contact tracing is effective and efficient, and one of the non-pharmaceutical complementary approaches to mitigate and manage epidemics like…”
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Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection
Published in IEEE transactions on network science and engineering (01-09-2023)“…With fast increase in volume of mobile multimedia data, how to apply powerful deep learning methods to process data with real-time response becomes a major…”
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Intelligent Internet of Things and Advanced Machine Learning Techniques for COVID-19
Published in EAI endorsed transactions on pervasive health and technology (01-04-2021)“…INTRODUCTION: Coronavirus disease (COVID-19) has recently emerged around the world. The beginning of the disease was in the Chinese city of Wuhan and then it…”
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Improved performance on seizure detection in an automated electroencephalogram signal under evolution by extracting entropy feature
Published in Multimedia tools and applications (01-04-2022)“…In recent years, enormous people in all age category were affected with epilepsy throughout the world. To detect and evaluate the epilepsy seizure, the…”
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RNS-Based Adaptive Compression Scheme for the Block Data in the Blockchain for IIoT
Published in IEEE transactions on industrial informatics (01-12-2022)“…The Industrial Internet of Things (IIoT) is the essential component of Industry 4.0. Blockchain is a promising technology for secure data sharing and trustable…”
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SSII: Secured and High-Quality Steganography Using Intelligent Hybrid Optimization Algorithms for IoT
Published in IEEE access (2021)“…Internet of Things (IoT) is a domain where the transfer of big data is taking place every single second. The security of these data is a challenging task;…”
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ElStream: An Ensemble Learning Approach for Concept Drift Detection in Dynamic Social Big Data Stream Learning
Published in IEEE access (2021)“…With the rapid increase in communication technologies and smart devices, an enormous surge in data traffic has been observed. A huge amount of data gets…”
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Deep Learning and Internet of Things Based Lung Ailment Recognition Through Coughing Spectrograms
Published in IEEE access (2021)“…Coughing analysis stays a region that has gotten meager consideration from AI scientists. This can be credited to a few factors, for example, wasteful…”
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A Comprehensive Review on Device-to-Device Communication Paradigm: Trends, Challenges and Applications
Published in Wireless personal communications (01-09-2020)“…Sensors and smartphones are used in industry and healthcare technology for data gathering. The sensed data can be acquired by devices and processed through…”
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BIFM: Big-Data Driven Intelligent Forecasting Model for COVID-19
Published in IEEE access (2021)“…Ever since the pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China, it has been recognized as a global threat and several studies have been…”
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Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Published in Interdisciplinary sciences : computational life sciences (01-06-2022)“…Coronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of acute respiratory syndrome that has had a significant influence on both economy and…”
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MBCP: Performance Analysis of Large Scale Mainstream Blockchain Consensus Protocols
Published in IEEE access (2021)“…As Blockchain innovation picks up popularity in many areas, it is frequently hailed as a sound innovation. Because of the decentralization and encryption, many…”
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Leveraging machine learning and dimensionality reduction for sports and exercise sentiment analysis
Published in Measurement. Sensors (01-06-2024)“…The realm of sports and physical exercise is abuzz with a plethora of opinions, ranging from enthusiastic support to disheartening criticism. Delving into this…”
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