Qiong Chen - IEEE Xplore Author Profile

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Author details

Qiong Chen

Publications

8

Citations

84

Publications by Year

20182025

Co-Authors:

Uzair Aslam BhattiHong-Ning DaiWeiping DingWenlong FengXiaomeng Huang

Show All Co-Authors (15)

Qiong Chen

Affiliation

School of Biomedical Information and Engineering

Hainan Medical University (Hainan Academy of Medical Sciences)

Haikou, China

TJ-YZ School of Network Science

Haikou University of Economics

Haikou, China

Publication Topics

Convolutional Neural Network,
Attention Mechanism,
Deep Learning,
Deep Network,
Feature Discretization,
Feature Maps,
Fitness Function,
Fuzzy Model,
Fuzzy Relation,
Fuzzy Set,
Abundant Information,
Additive Noise

Biography

Qiong Chen (Member, IEEE) received the B.Eng. degree in computer science and technology from the Beijing University of Posts and Telecommunications, Beijing, China, in 2007, the M.Eng. degree in computer engineering from Politecnico di Torino, Torino, Italy, in 2012, and the Ph.D. degree in information and communication engineering from Hainan University, Haikou, China, in 2020. He is currently a Post-Doctoral Researcher with the Department of Earth System Science, Tsinghua University, Beijing. His research interests include remote sensing image processing, evolutionary computing, granular computing, fuzzy decision-making, rough sets, big data analytics, and multi-source data fusion.(Based on document published on 23 June 2023).

Publications

8

Citations

84

Publications by Year

20182025

Co-Authors:

Uzair Aslam Bhatti
Hong-Ning Dai
Weiping Ding
Wenlong Feng
Xiaomeng Huang

Show All Co-Authors (15)

Author's Published Works

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Showing 1-25 of 73 results

Journals (48)

Conferences (12)

Early Access Articles (11)

Magazines (2)

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Chinmay Chakraborty(73)
Keping Yu(21)
Subhendu Kumar Pani(7)
Osama Alfarraj(6)
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Graduate School of Science and Engineering, Hosei University, Tokyo, Japan(15)
Birla Institute of Technology, Mesra, India(9)
RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan(7)
Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia(6)
Department of Electronics and Communication Engineering, Birla Institute of Technology at Mesra, Ranchi, India(5)
IEEE Transactions on Consumer Electronics(11)
IEEE Access(8)
IEEE Journal of Biomedical and Health Informatics(8)
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Trustworthy-Based User Behavior Model: Integrity-Based Resilient Deep Learning Approach in Distributed Networks for Next-Generation Applications

Chinmay Chakraborty;Senthil Murugan Nagarajan;Rajesh R;Kumaran U;Ganesh Gopal Devarajan

IEEE Transactions on Computational Social Systems

Year: 2025 | Early Access Article |

The distributed network utilizing the integrity-based resilient machine learning (DRML) approach offers a robust methodology to address challenges associated with complex Internet of Things (IoT) applications, computational resource limitations, and environmental sustainability. In heterogeneous cloud computing environments, where edge and central clouds collaborate to meet diverse demands in vari...Show More

Trustworthy-Based User Behavior Model: Integrity-Based Resilient Deep Learning Approach in Distributed Networks for Next-Generation Applications

Chinmay Chakraborty;Senthil Murugan Nagarajan;Rajesh R;Kumaran U;Ganesh Gopal Devarajan

IEEE Transactions on Computational Social Systems

Year: 2025 | Early Access Article |

A Lightweight Transformer-Based Collision Detection and Load Estimation Scheme for Massive Random Access in 6G Satellite-Ground Integrated Vehicular Networks

Li Zhen;Mingyang Li;Chinmay Chakraborty;Jing Jiang;Ashok Polavarapu;Fayez Alqahtani

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

As an indispensable component of the 6G-enabled intelligent transportation systems, the satellite-ground integrated vehicular networks (SGIVN) have attracted widespread attention in recent years for its ability to provide continuous and ubiquitous connectivity services. However, in view of a huge number of access requirements from vehicle terminals and the restricted contention resources, the conv...Show More

A Lightweight Transformer-Based Collision Detection and Load Estimation Scheme for Massive Random Access in 6G Satellite-Ground Integrated Vehicular Networks

Li Zhen;Mingyang Li;Chinmay Chakraborty;Jing Jiang;Ashok Polavarapu;Fayez Alqahtani

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

Dynamic Optimization of Vehicle Production Planning in Transportation Networks Using Federated Reinforcement Learning

Jinhua Chen;Xiaogang Zhu;Chinmay Chakraborty;Manisha Guduri;Abdullah Alharbi;Amr Tolba;Keping Yu

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

Modern transportation networks, with their complexity and dynamic nature, have a substantial demand for intelligent vehicles. Developing effective production strategies for smart vehicles is essential to reducing both production costs and energy consumption. Traditional vehicle production planning has largely depended on heuristic algorithms and solvers, which lack scalability and are susceptible ...Show More

Dynamic Optimization of Vehicle Production Planning in Transportation Networks Using Federated Reinforcement Learning

Jinhua Chen;Xiaogang Zhu;Chinmay Chakraborty;Manisha Guduri;Abdullah Alharbi;Amr Tolba;Keping Yu

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

Energy-Efficient Drones and BS Management in Distributed Edge Intelligence Empowered IoV Networks

Pengfei Du;Tingyue Xiao;Chinmay Chakraborty;Haotong Cao;Osama Alfarraj;Keping Yu

IEEE Internet of Things Journal

Year: 2025 | Volume: 12, Issue: 5 | Journal Article |

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The Internet of Vehicles (IoV) is playing a pivotal role in advancing intelligent transportation systems. Deploying the drone as edge nodes in IoV networks has emerged as a promising solution to enhance the communication coverage and energy efficiency (EE). However, the existing drone deployment and resource allocation strategies often lack the necessary intelligence and adaptability to respond to...Show More

Energy-Efficient Drones and BS Management in Distributed Edge Intelligence Empowered IoV Networks

Pengfei Du;Tingyue Xiao;Chinmay Chakraborty;Haotong Cao;Osama Alfarraj;Keping Yu

IEEE Internet of Things Journal

Year: 2025 | Volume: 12, Issue: 5 | Journal Article |

Personalized Human Activity Recognition: Real-Time On-Device Training and Inference

Bidyut Saha;Riya Samanta;Ram Babu Roy;Chinmay Chakraborty;Soumya K. Ghosh

IEEE Consumer Electronics Magazine

Year: 2025 | Volume: 14, Issue: 2 | Magazine Article |

Cited by: Papers (5)

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The conventional human activity recognition (HAR) systems use smartwatches, smartphones, and other wearable devices to autonomously derive consumer physical activities. However, implementing real-time HAR in resource-constrained applications is challenging. Computational offloading approaches must address network reliance, latency, and data privacy, which affect system performance. The present stu...Show More

Personalized Human Activity Recognition: Real-Time On-Device Training and Inference

Bidyut Saha;Riya Samanta;Ram Babu Roy;Chinmay Chakraborty;Soumya K. Ghosh

IEEE Consumer Electronics Magazine

Year: 2025 | Volume: 14, Issue: 2 | Magazine Article |

Vision Sensing-Driven Intelligent Ocular Disease Detection Using Conformer-Based Dual Fusion

Zhiwei Guo;Qin Zhang;Peng Xu;Yu Shen;Chinmay Chakraborty;Osama Alfarraj;Keping Yu

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Early Access Article |

The deep vision sensing has been a practical tool in early disease detection, and this work aims at an important branch of ocular disease recognition. Although a number of researchers had paid attention to it during past years, fine-grained ocular feature extraction always remains a challenge. To handle with this issue, this work benefits from comprehensive ability of the convolution-Transformer s...Show More

Vision Sensing-Driven Intelligent Ocular Disease Detection Using Conformer-Based Dual Fusion

Zhiwei Guo;Qin Zhang;Peng Xu;Yu Shen;Chinmay Chakraborty;Osama Alfarraj;Keping Yu

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Early Access Article |

Model Ownership Protection for Healthcare Consumer Electronics in Federated Edge Learning

Rong Wang;Junchuan Liang;Chaosheng Feng;Chinmay Chakraborty;Fayez Alqahtani;Keping Yu

IEEE Transactions on Consumer Electronics

Year: 2024 | Early Access Article |

With the rising demand for intelligent services and privacy protection in consumer artificial intelligence (AI), federated edge learning has emerged as a beacon for privacy-preserving distributed machine learning. This non-centralized approach offers distinct data privacy advantages, making it especially suitable for applications with strict privacy policies, such as consumer-centric healthcare sy...Show More

Model Ownership Protection for Healthcare Consumer Electronics in Federated Edge Learning

Rong Wang;Junchuan Liang;Chaosheng Feng;Chinmay Chakraborty;Fayez Alqahtani;Keping Yu

IEEE Transactions on Consumer Electronics

Year: 2024 | Early Access Article |

Blockchain-Empowered Resilient Attack Defense in Federated Learning for Consumer Electronics

Jinhua Chen;Chinmay Chakraborty;Osama Alfarraj;Amr Tolba;Qiaozhi Hua;Keping Yu

IEEE Consumer Electronics Magazine

Year: 2024 | Early Access Article |

Artificial Intelligence (AI) empowers consumer electronics, making daily life more convenient, but it also introduces potential privacy risks. Governments worldwide have implemented stringent data regulations to protect individual privacy. Federated Learning (FL) helps AI comply with these regulations and continuously evolve in consumer electronics. However, FL faces significant structural issues ...Show More

Blockchain-Empowered Resilient Attack Defense in Federated Learning for Consumer Electronics

Jinhua Chen;Chinmay Chakraborty;Osama Alfarraj;Amr Tolba;Qiaozhi Hua;Keping Yu

IEEE Consumer Electronics Magazine

Year: 2024 | Early Access Article |

A DRL-Based Server Selection Scheme for IoT Federated Learning in Sparse LEO Satellite Constellations

Pengxiang Qin;Dongyang Xu;Chinmay Chakraborty;Osama Alfarraj;Keping Yu;Mohsen Guizani

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

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Federated learning (FL) has emerged in sparse low earth orbit (LEO) satellite constellations as a promising architecture for on-board machine learning (ML) model training, aimed at preserving Internet of Things (IoT) data privacy in specialized and sophisticated tasks. However, the user in FL who spends the longest time in a FL round significantly hinders efficiency. Furthermore, intermittent sate...Show More

A DRL-Based Server Selection Scheme for IoT Federated Learning in Sparse LEO Satellite Constellations

Pengxiang Qin;Dongyang Xu;Chinmay Chakraborty;Osama Alfarraj;Keping Yu;Mohsen Guizani

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Industrial 6G-IoT and Machine-Learning-Supported Intelligent Sensing Framework for Indicator Control Strategy in Sewage Treatment Process

Zhiwei Guo;Yu Shen;Chinmay Chakraborty;Fahad Alblehai;Keping Yu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 18 | Journal Article |

Cited by: Papers (3)

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In context of 6G mobile computing, the combination of Industrial Internet of Things (IoT) and machine learning extends intelligent sensing ability to improve industrial operation efficiency. In conventional operation of sewage treatment process (STP), manipulators often made excessive aeration amount in treatment process, in order to reach environmental standard. However, such rough operation mode...Show More

Industrial 6G-IoT and Machine-Learning-Supported Intelligent Sensing Framework for Indicator Control Strategy in Sewage Treatment Process

Zhiwei Guo;Yu Shen;Chinmay Chakraborty;Fahad Alblehai;Keping Yu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 18 | Journal Article |

An Adaptive Explainable AI Framework for Securing Consumer Electronics-Based IoT Applications in Fog-Cloud Infrastructure

Subhranshu Sekhar Tripathy;Manisha Guduri;Chinmay Chakraborty;Sujit Bebortta;Subhendu Kumar Pani;Sabyasachi Mukhopadhyay

IEEE Transactions on Consumer Electronics

Year: 2024 | Early Access Article |

Cited by: Papers (1)

A prominent use case of consumer electronics-based Internet of Things (IoT) applications, focused on smart cities, is connected devices that enable cities to optimize their operations via access to high volumes of sensitive data. Yet, these devices commonly utilize public channels for data access and sharing, requiring consistent communication protocols and an Intrusion Detection System (IDS) with...Show More

An Adaptive Explainable AI Framework for Securing Consumer Electronics-Based IoT Applications in Fog-Cloud Infrastructure

Subhranshu Sekhar Tripathy;Manisha Guduri;Chinmay Chakraborty;Sujit Bebortta;Subhendu Kumar Pani;Sabyasachi Mukhopadhyay

IEEE Transactions on Consumer Electronics

Year: 2024 | Early Access Article |

Multiview Deep Learning-based Efficient Medical Data Management for Survival Time Forecasting

Keping Yu;Lijuan Quan;Chinmay Chakraborty;Xin Qi;Yu Shen;Zhiwei Guo;Osama Alfarraj;Amr Tolba

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Early Access Article |

In recent years, data-driven remote medical management has received much attention, especially in application of survival time forecasting. By monitoring the physical characteristics indexes of patients, intelligent algorithms can be deployed to implement efficient healthcare management. However, such pure medical data-driven scenes generally lack multimedia information, which brings challenge to ...Show More

Multiview Deep Learning-based Efficient Medical Data Management for Survival Time Forecasting

Keping Yu;Lijuan Quan;Chinmay Chakraborty;Xin Qi;Yu Shen;Zhiwei Guo;Osama Alfarraj;Amr Tolba

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Early Access Article |

An Energy Harvesting Algorithm for UAV-Assisted TinyML Consumer Electronic in Low-Power IoT Networks

Jie Huang;Tao Yu;Chinmay Chakraborty;Fan Yang;Xianzhi Lai;Abdullah Alharbi;Keping Yu

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 4 | Journal Article |

Cited by: Papers (1)

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Unmanned aerial vehicles (UAVs) play a crucial role in remote environmental applications of the Low-Power Internet of Things (IoT) network. However, the interaction between a large number of consumer electronics products integrated with TinyML (CEP-TML) may lead to serious interference and overlap issues in Low-Power IoT networks, which still pose challenges to the lifespan of UAVs. To address thi...Show More

An Energy Harvesting Algorithm for UAV-Assisted TinyML Consumer Electronic in Low-Power IoT Networks

Jie Huang;Tao Yu;Chinmay Chakraborty;Fan Yang;Xianzhi Lai;Abdullah Alharbi;Keping Yu

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 4 | Journal Article |

Leveraging Resource-Aware Deep Collaborative Learning Towards Secure B5G-Driven IoT-Fog-Based Consumer Electronic Systems

Subhranshu Sekhar Tripathy;Sujit Bebortta;Chinmay Chakraborty;Dilip Senapati;Subhendu Kumar Pani;Manisha Guduri

IEEE Transactions on Consumer Electronics

Year: 2024 | Early Access Article |

The integration of Fog computing and 5G communication may enhance Cyber Physical Systems (CPSs) for effective time identification of cyber attacks among consumer electronics. An unsupervised Intrusion Detection System (IDS) based on Generative Adversarial Networks (GANs) and Recurrent Neural Networks (RNNs) is presented in this study. This system is tailored to the resource limitations of consumer...Show More

Leveraging Resource-Aware Deep Collaborative Learning Towards Secure B5G-Driven IoT-Fog-Based Consumer Electronic Systems

Subhranshu Sekhar Tripathy;Sujit Bebortta;Chinmay Chakraborty;Dilip Senapati;Subhendu Kumar Pani;Manisha Guduri

IEEE Transactions on Consumer Electronics

Year: 2024 | Early Access Article |

Hybrid Quantum Classical Optimization for Low-Carbon Sustainable Edge Architecture in RIS-Assisted AIoT Healthcare Systems

Keping Yu;Chinmay Chakraborty;Dongyang Xu;Tiantian Zhang;Honghao Zhu;Osama Alfarraj;Amr Tolba

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 24 | Journal Article |

Cited by: Papers (2)

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Healthcare systems, empowered by the integration of artificial intelligence (AI) and Internet of Things networks, are undergoing significant advancements, ushering in a new era of enhanced treatment experiences and improved quality of life. Edge computing plays a pivotal role as an architectural enabler; however, it also presents numerous energy-related challenges spanning sensors, communication, ...Show More

Hybrid Quantum Classical Optimization for Low-Carbon Sustainable Edge Architecture in RIS-Assisted AIoT Healthcare Systems

Keping Yu;Chinmay Chakraborty;Dongyang Xu;Tiantian Zhang;Honghao Zhu;Osama Alfarraj;Amr Tolba

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 24 | Journal Article |

An MIoT Framework of Consumer Technology for Medical Diseases Prediction

Sudeshna Pattanaik;Chinmay Chakraborty;Subhasikta Behera;Santosh Kumar Majhi;Subhendu Kumar Pani

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Cited by: Papers (6)

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The healthcare sector has evolved by integrating consumer technologies, IoT, and deep learning. IoT in healthcare includes connected-health, smart-health, and mobile-health, enabling devices to share information for better care. Deep learning, particularly in medical imaging, shows promise for future medical applications. A recent study proposed a hybrid model using Stacked BiLSTM with Resnet50 Mo...Show More

An MIoT Framework of Consumer Technology for Medical Diseases Prediction

Sudeshna Pattanaik;Chinmay Chakraborty;Subhasikta Behera;Santosh Kumar Majhi;Subhendu Kumar Pani

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

On EE Maximization in D2D-CRN With Eavesdropping Using LSTM-Based Channel Estimation

Sutanu Ghosh;Santi P. Maity;Chinmay Chakraborty

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Cited by: Papers (6)

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Emergence of 5G and beyond promise development of several applications specific Internet-of-Things (IoT) services involving consumer electronics devices doing trustworthy intelligent operations. One such application is smart healthcare support in hospital or home premises where battery driven wearable wireless nodes collect patient data, transmit securely and seamlessly in cooperative communicatio...Show More

On EE Maximization in D2D-CRN With Eavesdropping Using LSTM-Based Channel Estimation

Sutanu Ghosh;Santi P. Maity;Chinmay Chakraborty

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Machine Learning Approaches for COVID-19 Sentiment Analysis: Unveiling the Power of BERT

Shobhit Srivastava;Mrinal Kanti Sarkar;Chinmay Chakraborty

2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)

Year: 2024 | Conference Paper |

Cited by: Papers (3)

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The exponential growth of social media technology has fueled an unprecedented surge in the free flow of information. The outbreak of the Coronavirus disease (COVID-19) has left an indelible mark on society, profoundly impacting its social and psychological fabric. Amidst this global health crisis, social media platforms have emerged as vibrant arenas for discussing the COVID-19 pandemic. Delving i...Show More

Machine Learning Approaches for COVID-19 Sentiment Analysis: Unveiling the Power of BERT

Shobhit Srivastava;Mrinal Kanti Sarkar;Chinmay Chakraborty

2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)

Year: 2024 | Conference Paper |

Real-Time Mental Health Monitoring for Metaverse Consumers to Ameliorate the Negative Impacts of Escapism and Post Trauma Stress Disorder

Hirak Mazumdar;MSVPJ Sathvik;Chinmay Chakraborty;Bhuvan Unhelkar;Saïd Mahmoudi

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Cited by: Papers (4)

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The emergence of the metaverse, like any other technology, presents both advantages and disadvantages. On the positive side, it can greatly enhance experiences in gaming, entertainment, training, and more, offering significant benefits to users. Conversely, there are notable drawbacks, particularly concerning mental health issues such as escapism and post-traumatic stress disorder (PTSD). The dete...Show More

Real-Time Mental Health Monitoring for Metaverse Consumers to Ameliorate the Negative Impacts of Escapism and Post Trauma Stress Disorder

Hirak Mazumdar;MSVPJ Sathvik;Chinmay Chakraborty;Bhuvan Unhelkar;Saïd Mahmoudi

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Adversarial ML-Based Secured Cloud Architecture for Consumer Internet of Things of Smart Healthcare

Jitendra Kumar Samriya;Chinmay Chakraborty;Aditi Sharma;Mohit Kumar;Sravanth Kumar Ramakuri

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Cited by: Papers (6)

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The profound era of cloud computing (CC) is revolutionizing Industry 5.0in which users have online access to network services including better, transparent user management and the capacity to gather and analyze data. The services of the cloud paradigm have been adopted by academia, industries, healthcare, smart homes, and other areas due to cost-efficient and on-demand resources for IoT applicatio...Show More

Adversarial ML-Based Secured Cloud Architecture for Consumer Internet of Things of Smart Healthcare

Jitendra Kumar Samriya;Chinmay Chakraborty;Aditi Sharma;Mohit Kumar;Sravanth Kumar Ramakuri

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Covert Communications in Air-Ground Integrated Urban Sensing Networks Enhanced by Federated Learning

Dawei Wang;Menghan Wu;Chinmay Chakraborty;Lingtong Min;Yixin He;Manisha Guduri

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 5 | Journal Article |

Cited by: Papers (13)

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Urban sensing is a rapidly growing field that involves gathering real-time data from urban environments. These smart sensing systems are pivotal in enhancing urban planning, resource management, and overall quality of life in cities. However, in the context of data collection and network congestion, nonnegligible latency can be experienced in urban environments. Recently, federated learning (FL) h...Show More

Covert Communications in Air-Ground Integrated Urban Sensing Networks Enhanced by Federated Learning

Dawei Wang;Menghan Wu;Chinmay Chakraborty;Lingtong Min;Yixin He;Manisha Guduri

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 5 | Journal Article |

Blockchain-Based Federated Learning Technique for Privacy Preservation and Security of Smart Electronic Health Records

Manisha Guduri;Chinmay Chakraborty;Uma Maheswari;Martin Margala

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Cited by: Papers (22)

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This study introduces a blockchain-based lightweight encryption strategy with federated learning to address the scalability and trust concerns of electronic health records (EHR). After implementing lightweight encryption, the EHR data is stored in a decentralized cloud system. The importance of protecting the privacy and security of distant patients’ health records is explored. Now that stakeholde...Show More

Blockchain-Based Federated Learning Technique for Privacy Preservation and Security of Smart Electronic Health Records

Manisha Guduri;Chinmay Chakraborty;Uma Maheswari;Martin Margala

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Quantum-Inspired Heuristic Algorithm for Secure Healthcare Prediction Using Blockchain Technology

Hirak Mazumdar;Chinmay Chakraborty;Satheesh Bojja Venkatakrishnan;Ajeet Kaushik;Hardik A. Gohel

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Volume: 28, Issue: 6 | Journal Article |

Cited by: Papers (7)

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People's health is adversely affected by environmental changes and poor nutritional habits, emphasizing the importance of health awareness. The healthcare system encounters significant challenges, including data insufficiency, threats, errors, and delays. To address these issues and advance medical care, we propose a secure healthcare prediction method, prioritizing patient privacy and data transm...Show More

Quantum-Inspired Heuristic Algorithm for Secure Healthcare Prediction Using Blockchain Technology

Hirak Mazumdar;Chinmay Chakraborty;Satheesh Bojja Venkatakrishnan;Ajeet Kaushik;Hardik A. Gohel

IEEE Journal of Biomedical and Health Informatics

Year: 2024 | Volume: 28, Issue: 6 | Journal Article |

Mitigating Information Interruptions by COVID-19 Face Masks: A Three-Stage Speech Enhancement Scheme

Tusar Kanti Dash;Chinmay Chakraborty;Satyajit Mahapatra;Ganapati Panda

IEEE Transactions on Computational Social Systems

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Cited by: Papers (4)

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The coronavirus disease 2019 (COVID-19) preventive measures have resulted in significant lifestyle changes. One of the COVID-19 new normal is the usage of face masks for protection against airborne aerosol which creates distractions and interruptions in voice communication. It has a different influence on speech than the standard concept of noise affecting speech communication. Furthermore, it has...Show More

Mitigating Information Interruptions by COVID-19 Face Masks: A Three-Stage Speech Enhancement Scheme

Tusar Kanti Dash;Chinmay Chakraborty;Satyajit Mahapatra;Ganapati Panda

IEEE Transactions on Computational Social Systems

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Stress Classification and Vital Signs Forecasting for IoT-Health Monitoring

T Bhavani;P VamseeKrishna;Chinmay Chakraborty;Priyanka Dwivedi

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2024 | Volume: 21, Issue: 4 | Journal Article |

Cited by: Papers (10)

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Health monitoring embedded with intelligence is the demand of the day. In this era of a large population with the emergence of a variety of diseases, the demand for healthcare facilities is high. Yet there is scarcity of medical experts, technicians for providing healthcare to the people affected with some medical problem. This article presents an Internet of Things (IoT) system architecture for h...Show More

Stress Classification and Vital Signs Forecasting for IoT-Health Monitoring

T Bhavani;P VamseeKrishna;Chinmay Chakraborty;Priyanka Dwivedi

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2024 | Volume: 21, Issue: 4 | Journal Article |

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