An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization by Yetao Ji, Jiaze Tu, Hanfeng Zhou, Wenyong Gui, Guoxi Liang, Huiling Chen, Mingjing Wang

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Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers by Mariah Batool, Oluwafemi Sanumi, Jasna Jankovic

“…It thoroughly explores the artificial intelligence tools and techniques for characterizing, manufacturing, testing, analyzing, and optimizing these systems. …”
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Channel-space endogenous anti-jamming method based on multi-reconfigurable intelligent surface by Yonggang ZHU, Yifu SUN, Fuqiang YAO, Cheng LI, Wenlong GUO, Kang AN

“…In view of the concern that the traditional anti-jamming method based on jamming recognition is challenging to defend against both the unknown and the intelligent jamming attacks, a dynamic, heterogeneous, and redundant channel-space anti-jamming technique was proposed by adopting multiple reconfigurable intelligent surface (RIS), which facilitated the exploitation of channels’ resources for combating with the unknown jamming attacks.To elaborate, a channel-space endogenous anti-jamming method was proposed by leveraging the optimization of both the RIS’ coefficients and the multiple RIS’ on-off status.Firstly, after decoupling the tightly coupled variables, the optimal closed-form solutions of transmit precoder, RIS’ coefficients, and receive decoder could be derived under the alternative optimization framework.Then, the greedy algorithm was adopted to optimize the multiple RIS’ on-off status for obtaining better anti-jamming communications, and the convergence and the computation complexity of the proposed method was analyzed.Theoretical analysis and simulation results show that the proposed method can effectively defend against the uncertain jamming attacks.…”
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Secret key generation for reconfigurable intelligent surface‐assisted MISO multi‐user system by Kexin Liu, Mingliang Li, Kaizhi Huang, Zheng Wan, Qinlong Li, Xiaoli Sun, Xiaoming Xu, Liang Jin

“…Then, the difference convex‐successive convex approximation based alternating optimization algorithm is proposed to solve this optimization problem. …”
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Comprehensive Adaptive Enterprise Optimization Algorithm and Its Engineering Applications by Shuxin Wang, Yejun Zheng, Li Cao, Mengji Xiong

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Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

“…[Purpose/Significance] The purpose of this study is to provide an in-depth analysis of the widespread application of artificial intelligence (AI) technology in the field of government data governance and its far-reaching implications, with a particular focus on the core issue of algorithmic discrimination. …”
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Research on Simultaneous Localization and Intrusion Detection Methodology for Intelligent Trains Based on Multisource Fusion by ZENG Xiang, JIANG Guotao, LYU Yu, LI Cheng, PAN Wenbo, LUO Ziqi

“…To achieve self-localization and collision warning for intelligent trains, a novel methodology for simultaneous localization and intrusion detection based on multisource fusion is proposed. …”
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Multistage Threshold Segmentation Method Based on Improved Electric Eel Foraging Optimization by Yunlong Hu, Liangkuan Zhu, Hongyang Zhao

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Path Planning of Unmanned Autonomous Helicopter Based on Human-Computer Hybrid Augmented Intelligence by Zengliang Han, Mou Chen, Tongle Zhou, Zhiqiang Nie, Qingxian Wu

“…Aiming to produce a high-quality flight path, a path planning system is designed based on human-computer hybrid augmented intelligence framework for the UAH in this paper. Firstly, an improved artificial bee colony (I-ABC) algorithm is proposed based on the dynamic evaluation selection strategy and the complex optimization method. …”
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Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…This study offers a thorough examination of how AI can be utilized to enhance e-learning results by employing advanced predictive methods and performance optimization strategies. The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …”
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An intelligent IDS using bagging based fuzzy CNN for secured communication in vehicular networks by M. Anand, S. Muthurajkumar

“…Hence, an efficient Feature Selection Algorithm named Weightage and Ranking Based Feature Selection Algorithm and a Bagging based Fuzzy Convolutional Neural Network classification algorithm with Adam optimizer are proposed in this article which are used to identify the attacks more effectively using bagging with fuzzy inference in the deep convolutional neural network classifier. …”
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The analysis of Chinese National ballad composition education based on artificial intelligence and deep learning by Chao Zhang

“…Abstract This study focuses on generating national ballads with ethnic characteristics through algorithms, and exploring the application of artificial intelligence in music composition. …”
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Advancements in Herpes Zoster Diagnosis, Treatment, and Management: Systematic Review of Artificial Intelligence Applications by Dasheng Wu, Na Liu, Rui Ma, Peilong Wu

“… Abstract BackgroundThe application of artificial intelligence (AI) in medicine has garnered significant attention in recent years, offering new possibilities for improving patient care across various domains. …”
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Emotional Factor Recognition and Teaching Strategy Adjustment in Cultural Teaching Supported by Artificial Intelligence by Yu Xiaochen

“…With the rapid development of artificial intelligence technology, the application of emotion recognition technology provides a new solution for optimizing cultural teaching. …”
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Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review by Manjusha Bhange, Darshan Telange

“…We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring of treatment efficacy, and enhance clinical decision-making. …”
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Advances in Breast Cancer Care: The Role of Artificial Intelligence and Digital Pathology in Precision Medicine by Ayşe Hümeyra Dur Karasayar, İbrahim Kulaç, Nilgün Kapucuoğlu

“…Artificial intelligence (AI) and digital pathology are transforming breast cancer management by addressing the limitations inherent in traditional histopathological methods. …”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…Optimize the brightness of continuous dynamic visual scene images and, based on the optimization results, use a joint target area extraction algorithm to extract high-speed moving target areas; based on the setting of snake curves in the motion target area, a gradient vector flow snake model is constructed to complete the extraction of the edge contour of the motion target. …”
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Intelligent Energy Efficiency Maximization for Wirelessly-Powered UAV-Assisted Secure Sensor Network by Fang Xu, Xinyu Zhang

“…Applying Deep Deterministic Policy Gradient (DDPG) algorithm, we train an action policy to dynamically determine near-optimal transmission parameters in real time. …”
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Innovation in Manufacturing Within the Digital Intelligence Context: Examining Faultlines Through Information Processing by Kangli Zhang, Jinwei Zhu

“…In the context of digital intelligence, innovation is vital for manufacturing enterprises to establish sustainable competitive advantages. …”
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Personal health data protection and intelligent healthcare applications under generative adversarial network by Xiaoyuan Gao, Wei Mi, Xirui Feng

“…The proposed method employs a multi-generator architecture and optimizes generator parameters through gradient clipping and genetic algorithms, enhancing data privacy protection and the quality and utility of the generated data. …”
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