M
Md. Jalil Piran
Researcher at Sejong University
Publications - 87
Citations - 3220
Md. Jalil Piran is an academic researcher from Sejong University. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 15, co-authored 67 publications receiving 1232 citations. Previous affiliations of Md. Jalil Piran include Kyung Hee University.
Papers
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A survey of multi-access edge computing in 5G and beyond : fundamentals, technology integration, and state-of-the-art.
Quoc-Viet Pham,Fang Fang,Vu Nguyen Ha,Md. Jalil Piran,Mai Le,Long Bao Le,Won-Joo Hwang,Zhiguo Ding +7 more
TL;DR: In this article, the authors provide a comprehensive overview of mobile edge computing (MEC) and its potential use cases and applications, as well as discuss challenges and potential future directions for MEC research.
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A Survey on Internet of Things and Cloud Computing for Healthcare
TL;DR: An in-depth review of IoT privacy and security issues, including potential threats, attack types, and security setups from a healthcare viewpoint is conducted and previous well-known security models to deal with security risks are analyzed.
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Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
Farnaz Fotovatikhah,Manuel Herrera,Shahaboddin Shamshirband,Kwok Wing Chau,Sina Ardabili,Md. Jalil Piran +5 more
TL;DR: This paper aims to present a comprehensive survey about the application of CI-based methods in FMSs and identifies and introduces the most promising approaches nowadays with respect to the accuracy and error rate for flood debris forecasting and management.
Posted Content
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham,Fang Fang,Vu Nguyen Ha,Md. Jalil Piran,Mai Le,Long Bao Le,Won-Joo Hwang,Zhiguo Ding +7 more
TL;DR: This survey provides a holistic overview of MEC technology and its potential use cases and applications, and outlines up-to-date researches on the integration of M EC with the new technologies that will be deployed in 5G and beyond.
Journal ArticleDOI
Sensor-based and vision-based human activity recognition: A comprehensive survey
TL;DR: This survey analyzes the latest state-of-the-art research in HAR in recent years, introduces a classification of HAR methodologies, and shows advantages and weaknesses for methods in each category.