Author details
Author's Published Works
Scheduled Maintenance on Monday 1/13/2025
Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.
Author details
Showing 1-25 of 34 results
- Sort
Filter Results
Show
Sort By
Results
Timezone-Aware Auto-Regressive Long Short-Term Memory Model for Multipollutant Prediction
Jintu Borah;Mohd. Shahrul Mohd. Nadzir;Mylene G. Cayetano;Hemant Ghayvat;Shubhankar Majumdar;Gautam Srivastava
Air pollution poses a significant threat to urban environments, and accurate prediction of multiple air pollutants is crucial for effective mitigation strategies. This study introduces a novel time-aware auto-regressive long-short-term memory (TAR LSTM) approach to address this challenge by developing a multivariate prediction model using artificial intelligence (AI) for SMART city applications. E...Show More
Digitally Enhanced Home to the Village: AIoMT-Enabled Multisource Data Fusion and Power-Efficient Sustainable Computing
Hemant Ghayvat;Muhammad Awais;Rebakah Geddam;Mohammad Zuhair;Muhammad Ahmed Khan;Marcelo Milard;Lewis Nkenyereye;Kapal Dev
Artificial Intelligence of Medical Things (AIoMT) requires storing, preprocessing, monitoring, and analytics of large-scale sensor data fusion in the cloud. However, migrating to the cloud possesses intrinsic issues of cost, performance constraints, and sustainable computing. This research explores the potential of AIoMT in crafting intelligent models for daily activity patterns and predicting unu...Show More
AiCareAir: Hybrid-Ensemble Internet-of-Things Sensing Unit Model for Air Pollutant Control
Jintu Borah;Mohd. Shahrul Mohd. Nadzir;Mylene G. Cayetano;Shubhankar Majumdar;Hemant Ghayvat;Gautam Srivastava
The detrimental effects on human health caused by air pollution show that being able to predict air quality is a task of utmost significance. The application of artificial intelligence (AI) and the Internet of Things (IoT) is seen as promising in this domain. The performances of state-of-the-art models in terms of prediction accuracy vary with different pollutants and are acceptable only for certa...Show More
AiCareBreath: IoT-Enabled Location-Invariant Novel Unified Model for Predicting Air Pollutants to Avoid Related Respiratory Disease
Jintu Borah;Shashank Kumar;Nikhil Kumar;Mohd Shahrul Mohd Nadzir;Mylene G. Cayetano;Hemant Ghayvat;Shubhankar Majumdar;Neeraj Kumar
IEEE Internet of Things Journal
Cited by: Papers (9)
This article presents a location-invariant air pollution prediction model with good geographic generalizability. The model uses a light GBR as part of a machine-learning framework to capture the spatial identification of air contaminants. Given the dynamic nature of air pollution, the model also uses a random forest to capture temporal dependencies in the data. Our model uses a transfer learning s...Show More
Healthcare-CT: Solid PoD and Blockchain-Enabled Cyber Twin Approach for Healthcare 5.0 Ecosystems
IEEE Internet of Things Journal
Cited by: Papers (2)
The healthcare personals often use stored healthcare data to make crucial decisions, assess risk, and care for patients. The extraction of the required information from the saved healthcare data needs a healthcare ecosystem that can guarantee reliable data delivery. The reliability of cyber–physical data needs to be cross-examined using several sources of data of overlapping nature. The cross-exam...Show More
EEG-CLNet: Collaborative Learning for Simultaneous Measurement of Sleep Stages and OSA Events Based on Single EEG Signal
Liu Cheng;Shengqiong Luo;Xinge Yu;Hemant Ghayvat;Haibo Zhang;Yuan Zhang
Sleep-stage and apnea–hypopnea index (AHI) are the most important metrics in the diagnosis of sleep syndrome disease. In previous studies, these two tasks are usually implemented separately, which is both time- and resource-consuming. In this work, we propose a novel single electroencephalogram (EEG)-based collaborative learning network (EEG-CLNet) for simultaneous sleep staging and obstructive sl...Show More
FIMBISAE: A Multimodal Biometric Secured Data Access Framework for Internet of Medical Things Ecosystem
Tauheed Ahmed;Shabnam Samima;Mohd Zuhair;Hemant Ghayvat;Muhammad Ahmed Khan;Neeraj Kumar
IEEE Internet of Things Journal
Cited by: Papers (3)
Information from the Internet of Medical Things (IoMT) domain demands building safeguards against illegitimate access and identification. Existing user identification schemes suffer from challenges in detecting impersonation attacks which leave systems vulnerable and susceptible to misuse. Significant advancement has been achieved in the domain of biometrics and health informatics. This can take a...Show More
COUNTERSAVIOR: AIoMT and IIoT-Enabled Adaptive Virus Outbreak Discovery Framework for Healthcare Informatics
Sharnil Pandya;Hemant Ghayvat;Praveen Kumar Reddy;Thippa Reddy Gadekallu;Muhammad Ahmed Khan;Neeraj Kumar
IEEE Internet of Things Journal
Cited by: Papers (3)
In the current pandemic, global issues have caused health issues as well as economic downturns. At the beginning of every novel virus outbreak, lockdown is the best possible weapon to reduce the virus spread and save human life as the medical diagnosis followed by treatment and clinical approval takes significant time. The proposed COUNTERSAVIOR system aims at an Artificial Intelligence of Medical...Show More
STRENUOUS: Edge-Line Computing, AI, and IIoT Enabled GPS Spatiotemporal Data-Based Meta-Transmission Healthcare Ecosystem for Virus Outbreaks Discovery
IEEE Internet of Things Journal
Cited by: Papers (2)
COVID-19 is not the last virus; there would be many others viruses we may face in the future. We already witnessed the loss of economy and daily life through the lockdown. In addition, vaccine, medication, and treatment strategies take clinical trials, so there is a need to tracking and tracing approach. Suitably, exhibiting and computing social evolution is critical for refining the epidemic, but...Show More
A Simple Fabrication, Low Noise, Capacitive Tactile Sensor for Use in Inexpensive and Smart Healthcare Systems
Saeed Akbarzadeh;Hemant Ghayvat;Chen Chen;Xian Zhao;Stephanie Hosier;Wei Yuan;Sio Hang Pun;Wei Chen
Tactile sensors are among the most important devices used in industrial and biomedical fields. Sensors’ profiles are significantly affected by their structures and material used. This article presents a robust, low-cost, low noise, accurate and simple fabrication capacitive tactile sensor as a single taxel fabricated on foam. This highly scalable design provides excellent noise immunity, accuracy,...Show More
SHARIF: Solid Pod-Based Secured Healthcare Information Storage and Exchange Solution in Internet of Things
The recent development has enlightened health informatics on the Internet of medical Things (IoT) 5.0. Healthcare services have seen greater acceptance of information and communications technology (ICT) in recent years; in light of the increasing volume of patient data, the traditional way of storing data in physical files has eventually moved to a digital alternative such as electronic health rec...Show More
CP-BDHCA: Blockchain-Based Confidentiality-Privacy Preserving Big Data Scheme for Healthcare Clouds and Applications
Hemant Ghayvat;Sharnil Pandya;Pronaya Bhattacharya;Mohd Zuhair;Mamoon Rashid;Saqib Hakak;Kapal Dev
Healthcare big data (HBD) allows medical stakeholders to analyze, access, retrieve personal and electronic health records (EHR) of patients. Mostly, the records are stored on healthcare cloud and application (HCA) servers, and thus, are subjected to end-user latency, extensive computations, single-point failures, and security and privacy risks. A joint solution is required to address the issues of...Show More
Deep Learning Model for Acoustics Signal Based Preventive Healthcare Monitoring and Activity of Daily Living
2nd International Conference on Data, Engineering and Applications (IDEA)
Year: 2020 | Conference Paper |
Cited by: Papers (16)
To cope with the increasing healthcare costs and nursing shortages in the Aging Society the care system is transferred, as much as possible, to the home environment, making use of ambient assisted living (AAL) monitoring and communication possibilities and to actively involve informal cares to fill in large part of the care that is needed. The proposed system is the AAL based, acoustics sensing sy...Show More
Proposal and Preliminary Fall-related Activities Recognition in Indoor Environment
2019 IEEE 19th International Conference on Communication Technology (ICCT)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Falls are a noteworthy reason for grievances and deaths in elderlies. Notwithstanding when no damage happens, about majority of elderlies are identity unfit to get up without help. The expanded time of lying on the floor frequently prompts restorative complications, including muscle impairment, lack of hydration, unease, and trepidation of falling. Here, a fall sensing unit is accounted that is af...Show More
Wellness Sensor Network for modeling Activity of Daily Livings – Proposal and Off-Line Preliminary Analysis
2018 4th International Conference on Computing Communication and Automation (ICCCA)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
The implementation of the smart home system being motivated by technology push rather than demand pull. This impractical approach has disappointed many users especially in term of feasibility and affordability in conjunction with many other issues. The present had developed a practical smart home solution, named wellness protocol. Present research is to extend the work on wellness protocol's smart...Show More
NXTGeUH: LoRaWAN based NEXT Generation Ubiquitous Healthcare System for Vital Signs Monitoring & Falls Detection
Warish D. Patel;Sharnil Pandya;Baki Koyuncu;Bhupendra Ramani;Sourabh Bhaskar;Hemant Ghayvat
The challenge for deployment of low-cost and high-speed ubiquitous Smart Health services has prompted us to propose new framework design for providing excellent healthcare to humankind. So, there exists a very high demand for developing an Internet of Medical Things (IoMT) based Ubiquitous Real-Time LoRa (Long Range) Healthcare System using Convolutional Neural Networks (CNN) to agree if a sequenc...Show More
Face and Its Features Detection during Nap
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
A quality sleep at night plays a vibrant role in healthy life. 7-8 hours quality sleep at the right times especially at night help human to maintain a proper physical and mental health. While sleeping, it has been incorporated that facial muscles contraction/extraction especially in eyes regions are the most common absorbed features while sleeping. This paper presents a preprocessing outcome of de...Show More
Smart home based ambient assisted living: Recognition of anomaly in the activity of daily living for an elderly living alone
2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Year: 2018 | Conference Paper |
Cited by: Papers (45)
Many people with incapacities can continue lives in their existing home with the application of an assistive informatics and healthcare monitoring. Elderly's ability to perform daily activities presents the elderly's wellness. Investigation of human activities for extracting health and well-being statistics is one of the present challenges given the Smart Aging. The existing research works are mos...Show More
A Novel Cardiac Auscultation Monitoring System Based on Wireless Sensing for Healthcare
Heart sounds deliver vital physiological and pathological evidence about health. Wireless cardiac auscultation offers continuous cardiac monitoring of an individual without 24*7 manual healthcare care services. In this paper, a novel wireless sensing system to monitor and analyze cardiac condition is proposed, which sends the information to the caregiver as well as a medical practitioner with an a...Show More
Issues and mitigation of attenuation and direction of arrival in wellness protocol to wireless sensors and networks based smart building
2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
The ISM band is a lone well known choice in urban ecological checking and control. The heterogeneous remote sensors and systems are masterminded into the keen building condition. Remote correspondence in light of unlicensed ISM band influenced from different obstructions from outside gadgets utilizing ISM convention. Additionally, there are different obstructions and blunders brought about by mult...Show More
Deep convolutional neural networks for motion instability identification using kinect
Daniel Leightley;Subhas C. Mukhopadhyay;Hemant Ghayvat;Moi Hoon Yap
2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
Evaluating the execution style of human motion can give insight into the performance and behaviour exhibited by the participant. This could enable support in developing personalised rehabilitation programmes by providing better understanding of motion mechanics and contextual behaviour. However, performing analyses, generating statistical representations and models which are free from external bin...Show More
A novel hybrid based recommendation system based on clustering and association mining
S. Pandya;J. Shah;N. Joshi;H. Ghayvat;S. C. Mukhopadhyay;M. H. Yap
2016 10th International Conference on Sensing Technology (ICST)
Year: 2016 | Conference Paper |
Cited by: Papers (27)
In recent years, E-commerce had made a tremendous impact on the world. However before the emergence of E-commerce, individuals can't skim the information about the products within short time of the period, so therefore recommendation system was introduced. The principle point of the recommendation system is to prescribe the most appropriate items to the user. Many of the recommendation systems mai...Show More
Advanced AODV approach for efficient detection and mitigation of wormhole attack in MANET
H. Ghayvat;S. Pandya;S. Shah;S. C. Mukhopadhyay;M. H. Yap;K. H. Wandra
2016 10th International Conference on Sensing Technology (ICST)
Year: 2016 | Conference Paper |
Cited by: Papers (13)
Wireless Communication is an inevitable part of Smart Home domain. A Mobile Ad-Hoc Network (MANET) is defined as an arrangement of wireless mobile nodes which creates a temporary network for the communication. MANET suffers from both kinds of attacks, active and passive attacks at all the layers of the network model. The lacks of security measures of routing protocols allow attackers to intrude th...Show More
Accelerometer based human activities and posture recognition
Arun Babu;Kudakwashe Dube;Subhas Mukhopadhyay;Hemant Ghayvat;Jithin Kumar M.V
2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
The quantity of elderly people like to live in their homes, secluded, in their brilliant age is expanding exponentially. This is not a perfect path for an elderly individual to live. However, the urbanization and resultant change of the social and social conduct makes it a more regular event. Falls are a noteworthy reason for death and horribleness in more established grown-ups. In this way, it ha...Show More
Sensors and instrumentation to measure Sap flow in small stem plants
2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings
Year: 2016 | Conference Paper |
Cited by: Papers (6)
Heat-based sap flow sensors are widely used in research to analyse plant-water relationships and to study water flow dynamics of plants to determine the water requirements for optimum growth. To date, the majority of field studies of sap flow have been conducted in large plants, with only a few methods being suitable for small stems of less than 10 mm in diameter. This paper discusses the suitabil...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.