A systematic survey on energy-efficient techniques in sustainable cloud computing
Global warming is one of the most compelling environmental threats today, as the rise in
energy consumption and CO2 emission caused a dreadful impact on our environment. The …
energy consumption and CO2 emission caused a dreadful impact on our environment. The …
Discrete fourier transform with denoise model based least square wiener channel estimator for channel estimation in MIMO-OFDM
Multiple-input Multiple-Output (MIMO) systems require orthogonal frequency division
multiplexing to operate efficiently in multipath communication (OFDM). Channel estimation …
multiplexing to operate efficiently in multipath communication (OFDM). Channel estimation …
A machine learning strategy for the quantitative analysis of the global warming impact on marine ecosystems
It is generally observed that aquatic organisms have symmetric abilities to produce oxygen
(O 2) and fix carbon dioxide (CO 2). A simulation model with time-dependent parameters …
(O 2) and fix carbon dioxide (CO 2). A simulation model with time-dependent parameters …
Application of a machine learning algorithm for evaluation of stiff fractional modeling of polytropic gas spheres and electric circuits
Fractional polytropic gas sphere problems and electrical engineering models typically
simulated with interconnected circuits have numerous applications in physical, astrophysical …
simulated with interconnected circuits have numerous applications in physical, astrophysical …
[Retracted] A Machine Learning Algorithm to Automate Vehicle Classification and License Plate Detection
In the field of intelligent transportation systems (ITS), video surveillance is a hot research
topic; this surveillance is used in a variety of applications, such as detecting the cause of an …
topic; this surveillance is used in a variety of applications, such as detecting the cause of an …
Fractional analysis of unsteady squeezing flow of Casson fluid via homotopy perturbation method
The objective of this article is to model and analyze unsteady squeezing flow of fractional
MHD Casson fluid through a porous channel. Casson fluid model is significant in …
MHD Casson fluid through a porous channel. Casson fluid model is significant in …
Design of graph‐based layered learning‐driven model for anomaly detection in distributed cloud IoT network
Within numerous IoT domains, recent IoT proliferation has influenced organizational
activities and business procedures. The number of connected edge devices has increased …
activities and business procedures. The number of connected edge devices has increased …
[HTML][HTML] Physical restriction neural networks with restarting strategy for solving mathematical model of thermal heat equation for early diagnose breast cancer
Breast cancer is a serious health concern for women in both developed and develo**
countries, and early diagnosis is crucial for an effective treatment. One possible approach of …
countries, and early diagnosis is crucial for an effective treatment. One possible approach of …
[Retracted] Optimizing the Cultivation Path of College Students' Innovation and Entrepreneurship Ability from the Perspective of the Internet
Y Wang - Wireless communications and mobile computing, 2022 - Wiley Online Library
At present, the path of college students' innovation and entrepreneurship training is still not
perfect, especially the understanding and mathematics of college students' innovation and …
perfect, especially the understanding and mathematics of college students' innovation and …
[Retracted] Reinforcement Learning‐Based Path Planning Algorithm for Mobile Robots
ZX Liu, Q Wang, B Yang - Wireless Communications and …, 2022 - Wiley Online Library
A robot path planning algorithm based on reinforcement learning is proposed. The algorithm
discretizes the information of obstacles around the mobile robot and the direction …
discretizes the information of obstacles around the mobile robot and the direction …