[HTML][HTML] Image cyberbullying detection and recognition using transfer deep machine learning
Cyberbullying detection on social media platforms is increasingly important, necessitating
robust computational methods. Current approaches, while promising, have not fully …
robust computational methods. Current approaches, while promising, have not fully …
[HTML][HTML] Prioritization of transfer centers using GIS and fuzzy Dombi Bonferroni weighted Assessment (DOBAS) model
In pursuit of a sustainable and ecologically conscious future, as enhancing railway
infrastructure became specifically important, strategic positioning of railway stations is a …
infrastructure became specifically important, strategic positioning of railway stations is a …
Improving resources in internet of vehicles transportation systems using markov transition and TDMA protocol
In today's world, interconnected Vehicular ad-hoc networks (VANET) and intelligent
transportation systems have become more popular. Although IoV can bring many benefits …
transportation systems have become more popular. Although IoV can bring many benefits …
[HTML][HTML] Intrusion detection for electric vehicle charging systems (evcs)
The market for Electric Vehicles (EVs) has expanded tremendously as seen in the recent
Conference of the Parties 27 (COP27) held at Sharm El Sheikh, Egypt in November 2022 …
Conference of the Parties 27 (COP27) held at Sharm El Sheikh, Egypt in November 2022 …
[HTML][HTML] Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges
Enhancing decision-making under risks is crucial in various fields, and three-way decision
(3WD) methods have been extensively utilized and proven to be effective in numerous …
(3WD) methods have been extensively utilized and proven to be effective in numerous …
Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis
Liver diseases have emerged as a growing concern in modern times, encompassing various
disorders that can harm the liver and impede its function. The employment of data …
disorders that can harm the liver and impede its function. The employment of data …
Database task processing optimization based on performance evaluation and machine learning algorithm
A Deng - Soft Computing, 2023 - Springer
One of the key components of artificial intelligence algorithms is machine learning, involving
a variety of fields, and has been applied in many artificial intelligence systems, including …
a variety of fields, and has been applied in many artificial intelligence systems, including …
[HTML][HTML] Precision-Driven Product Recommendation Software: Unsupervised Models, Evaluated by GPT-4 LLM for Enhanced Recommender Systems
This paper presents a pioneering methodology for refining product recommender systems,
introducing a synergistic integration of unsupervised models—K-means clustering, content …
introducing a synergistic integration of unsupervised models—K-means clustering, content …
Automatically human action recognition (HAR) with view variation from skeleton means of adaptive transformer network
Human action recognition using skeletons has become increasingly appealing to a growing
number of researchers in recent years. It is particularly challenging to recognize actions …
number of researchers in recent years. It is particularly challenging to recognize actions …
Application and functional simulation of data mining technology in Hadoop cloud platform based on improved algorithm
N Dai - Soft Computing, 2023 - Springer
Data mining algorithms can process target data and extract useful hidden information, which
is helpful for decision making. However, current mining algorithms have some shortcomings …
is helpful for decision making. However, current mining algorithms have some shortcomings …