Zobrazeno 1 - 10 of 44 pro vyhledávání: '"Shabir Ahmad Sofi"'
1
Akademický článek
Exploring Personalized Internet of Things (PIoT), social connectivity, and Artificial Social Intelligence (ASI): A survey
Autor: Bisma Gulzar, Shabir Ahmad Sofi, Sahil Sholla
Publikováno v: High-Confidence Computing, Vol 4, Iss 3, Pp 100242- (2024)
Pervasive Computing has become more personal with the widespread adoption of the Internet of Things (IoT) in our day-to-day lives. The emerging domain that encompasses devices, sensors, storage, and computing of personal use and surroundings leads to
Externí odkaz: https://doaj.org/article/3902be06cc88421eb6a8584cbf9b4c24
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2
Akademický článek
Spider monkey optimization based resource allocation and scheduling in fog computing environment
Autor: Shahid Sultan Hajam, Shabir Ahmad Sofi
Publikováno v: High-Confidence Computing, Vol 3, Iss 3, Pp 100149- (2023)
Spider monkey optimization (SMO) is a quite popular and recent swarm intelligence algorithm for numerical optimization. SMO is Fission-Fusion social structure based algorithm inspired by spider monkey’s behavior. The algorithm proves to be very eff
Externí odkaz: https://doaj.org/article/8ab11e7892444ae4977c8d53b6ddce74
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3
Akademický článek
Precision agriculture using IoT data analytics and machine learning
Autor: Ravesa Akhter, Shabir Ahmad Sofi
Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5602-5618 (2022)
In spite of the insight commonality may have concerning agrarian practice, fact is that nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than ever. The emanation of the technologies based on Internet of Things (
Externí odkaz: https://doaj.org/article/adb033e073af43a5b0da150f5d009db5
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4
Akademický článek
A review on offloading in fog-based Internet of Things: Architecture, machine learning approaches, and open issues
Autor: Kalimullah Lone, Shabir Ahmad Sofi
Publikováno v: High-Confidence Computing, Vol 3, Iss 2, Pp 100124- (2023)
There is an exponential increase in the number of smart devices, generating helpful information and posing a serious challenge while processing this huge data. The processing is either done at fog level or cloud level depending on the size and nature
Externí odkaz: https://doaj.org/article/28e0ba5ab0dd48b283fb228673fca064
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6
Precision agriculture using IoT data analytics and machine learning
Autor: Shabir Ahmad Sofi, Ravesa Akhter
Publikováno v: Journal of King Saud University - Computer and Information Sciences. 34:5602-5618
In spite of the insight commonality may have concerning agrarian practice, fact is that nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than ever. The emanation of the technologies based on Internet of Things (
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b6f0fda2a6a84425881e6e25d3544bab
https://doi.org/10.1016/j.jksuci.2021.05.013
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9
Fog Task Scheduling using Clustering based Randomized Round Robin
Autor: Shahid Sultan Hajam, Shabir Ahmad Sofi
Publikováno v: Scalable Computing: Practice and Experience. 22:295-302
Fog computing serves the delay-sensitive applications of the Internet of Things (IoT) in more efficient means than the cloud. The heterogeneity of the tasks and the limited fog resources make task scheduling a complicated job. This paper proposes a c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a224233b3ce058d6a27b5cdb746f4cc8
https://doi.org/10.12694/scpe.v22i3.1891
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