Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Prashant Kumar Shukla"'
Autor:
Deepak, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Punit Gupta, Prashant Kumar Shukla, Piyush Kumar Shukla
Publikováno v:
IEEE Access, Vol 12, Pp 31197-31227 (2024)
Internet of Things (IoT) plays an essential contribution in connecting devices and enabling seamless data exchange, leading to increased efficiency and convenience. However, security concerns in IoT systems are significant, as compromised devices can
Externí odkaz:
https://doaj.org/article/3bef53d007d84906baf227c2fab19f1a
Autor:
Deepak, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Punit Gupta, Prashant Kumar Shukla, Piyush Kumar Shukla
Publikováno v:
IEEE Access, Vol 12, Pp 112354-112354 (2024)
In the above article [1], references 56 and 92 were retracted. As the works in these references are no longer reliable, we are removing these references and the related discussions in [1]. These references do not have any impact on the data, analysis
Externí odkaz:
https://doaj.org/article/7cae5155da114945a7d65ae86701d400
Autor:
Sindhu P. Menon, Prashant Kumar Shukla, Priyanka Sethi, Areej Alasiry, Mehrez Marzougui, M. Turki-Hadj Alouane, Arfat Ahmad Khan
Publikováno v:
Sensors, Vol 23, Iss 6, p 3004 (2023)
Background: Continuous surveillance helps people with diabetes live better lives. A wide range of technologies, including the Internet of Things (IoT), modern communications, and artificial intelligence (AI), can assist in lowering the expense of hea
Externí odkaz:
https://doaj.org/article/d68d31e23d2f43a582bf2219ff9d7645
Publikováno v:
Journal of Intelligent Systems and Internet of Things. 5:62-71
Excessive fats in human body results in obesity, which is generally linked to various illness like heart diseases, diabetes, etc. Therefore, determining the quantity of body fat becomes essential to save the human health. Though numerous approaches a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594dc2c43d701ed58420c23ae154ba47
https://doi.org/10.54216/jisiot.050202
https://doi.org/10.54216/jisiot.050202
Publikováno v:
Materials Today: Proceedings. 80:3411-3417
A machine learning technique provides rapid access to various information models, approaches, complex systems, and algorithms. In the present scenario the artificial neural network, multiple linear regression, support vector machine, water cycle algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b3a2ec18af64c14b49ac9dc2246e9ad
https://doi.org/10.1016/j.matpr.2021.07.262
https://doi.org/10.1016/j.matpr.2021.07.262
Autor:
Ramadoss Janarthanan, R. Uma Maheshwari, Prashant Kumar Shukla, Piyush Kumar Shukla, Seyedali Mirjalili, Manoj Kumar
Publikováno v:
Energies, Vol 14, Iss 20, p 6584 (2021)
The real-time application research on the Fuzzy Logic Systems (FLSs) and Artificial Neural Networks (ANN) is vast and, in this paper, a technique for a photovoltaic failure analysis using the type 2 FLS and ANN is proposed. The method is proposed to
Externí odkaz:
https://doaj.org/article/4285d2ee83ad493699016b50be83fd46
Autor:
Santosh Kumar Bharti, S Varadhaganapathy, Rajeev Kumar Gupta, Prashant Kumar Shukla, Mohamed Bouye, Simon Karanja Hingaa, Amena Mahmoud
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-8
Sentiment analysis is a method to identify people’s attitudes, sentiments, and emotions towards a given goal, such as people, activities, organizations, services, subjects, and products. Emotion detection is a subset of sentiment analysis as it pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79e83762d39e7d6d8d160f0eec3cb11f
https://doi.org/10.1155/2022/2645381
https://doi.org/10.1155/2022/2645381
Autor:
Abeer Ali Alnuaim, Mohammed Zakariah, Aseel Alhadlaq, Chitra Shashidhar, Wesam Atef Hatamleh, Hussam Tarazi, Prashant Kumar Shukla, Rajnish Ratna
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-16
Emotions play an essential role in human relationships, and many real-time applications rely on interpreting the speaker’s emotion from their words. Speech emotion recognition (SER) modules aid human-computer interface (HCI) applications, but they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f138e3aa8da50492baf041842178e3b1
https://doi.org/10.1155/2022/7463091
https://doi.org/10.1155/2022/7463091
Autor:
Piyush Kumar Pareek, Chethana Sridhar, R. Kalidoss, Muhammad Aslam, Manish Maheshwari, Prashant Kumar Shukla, Stephen Jeswinde Nuagah
Publikováno v:
Journal of Healthcare Engineering. 2022:1-11
Due to the increasing number of medical imaging images being utilized for the diagnosis and treatment of diseases, lossy or improper image compression has become more prevalent in recent years. The compression ratio and image quality, which are commo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b2863d0975c7b4a4ec10fec3bed5953
https://doi.org/10.1155/2022/5171016
https://doi.org/10.1155/2022/5171016