Secrecy-Constrained UAV-Mounted RIS-Assisted ISAC Networks: Position Optimization and Power Beamforming by Weichao Yang, Yajing Wang, Dawei Wang, Yixin He, Li Li

“…Specifically, we propose a secure ISAC system supported by a UAV-mounted RIS, where an ISAC base station (BS) facilitates secure multi-user communication while simultaneously detecting potentially malicious radar targets. …”
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Smart Lighting Systems: State-of-the-Art in the Adoption of the EdgeML Computing Paradigm by Gaetanino Paolone, Romolo Paesani, Francesco Pilotti, Jacopo Camplone, Andrea Piazza, Paolino Di Felice

“…In addition to that, the review delves into recent research works focusing on the usage of Machine Learning (ML) algorithms in an edge Cloud-based computing architecture. …”
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Research on load frequency control system attack detection method based on multi-model fusion by Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

“…Abstract Load frequency control (LFC) in power systems faces increasingly complex cyber-physical attack threats, while existing detection methods have limited capability to identify intelligent attacks. …”
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Burnout Risk Profiles in Psychology Students: An Exploratory Study with Machine Learning by M. Graça Pereira, Martim Santos, Renata Magalhães, Cláudia Rodrigues, Odete Araújo, Dalila Durães

“…Using machine learning algorithms, two distinct profiles were found: “Burnout Risk” and “No Risk”. …”
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Quality monitoring of hybrid welding processes: A comprehensive review by Solomon Habtamu Tessema, Dariusz Bismor

“…Furthermore, the review highlights the integration of sensor data with AI/ML algorithms and digital twin technologies, enhancing the capabilities of quality monitoring systems. …”
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Smart Agile Prioritization and Clustering: An AI-Driven Approach for Requirements Prioritization by Aya M. Radwan, Manal A. Abdel-Fattah, Wael Mohamed

“…Various machine learning algorithms are tested, with KNN and Random Forest demonstrating the highest accuracy and lowest Mean Squared Error (MSE), outperforming traditional prioritization techniques. …”
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Upper canopy and understory phenology of Brazilian Amazon forests seen by GEDI lasers by Pedro V C Oliveira, Xiaoyang Zhang

“…The results revealed that upper canopy PAI consistently increased during early dry seasons, while understory PAI likely increased due to sunlight that penetrated the upper canopy during its leaf abscission period in the late dry season. …”
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A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…The proposed method addresses the challenge of accurately capturing the current state of infrastructure while minimizing redundancy and optimizing computational efficiency. …”
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DBN-BAAE: Enhanced Lightweight Anomaly Detection Mechanism with Boosting Adversarial Autoencoder by Yanru Chen, Bei Wu, Wang Zhong, Yanru Guo, Dizhi Wu, Yi Ren, Yuanyuan Zhang

“…Although current research has advanced anomaly detection, it is still challenging for algorithms to be capable of effectively balancing the interplay between training speed, computational cost, and accuracy while simultaneously exhibiting robust stability and adaptability. …”
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MSF-ACA: Low-Light Image Enhancement Network Based on Multi-Scale Feature Fusion and Adaptive Contrast Adjustment by Zhesheng Cheng, Yingdan Wu, Fang Tian, Zaiwen Feng, Yan Li

“…According to the results of the experiment, the parameter count of MSF-ACA is 0.02 M, and compared with today’s mainstream algorithms, the suggested model attains 21.53 dB in PSNR when evaluated on the LOL-v2-real evaluation dataset, and the BRI is as low as 16.04 on the unpaired dataset DICM, which provides a better detail clarity and color fidelity in visual enhancement, and it is a highly efficient and robust low-light image model.…”
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AI-Driven Advances in Parkinson’s Disease Neurosurgery: Enhancing Patient Selection, Trial Efficiency, and Therapeutic Outcomes by José E. Valerio, Guillermo de Jesús Aguirre Vera, Maria P. Fernandez Gomez, Jorge Zumaeta, Andrés M. Alvarez-Pinzon

“…Machine learning (ML) algorithms and big data analytics enable precise patient stratification, risk assessment, and outcome prediction, accelerating the development of novel therapeutic approaches. …”
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System Proposal for Supervision of Critical Adverse Processes in Patients with Implanted Ventricular Assist Devices by José R. C. Sousa Sobrinho, Marcosiris A. O. Pessoa, Fabrício Junqueira, Paulo E. Miyagi, Diolino J. Santos Filho

“…Once implanted, the patient becomes dependent on the VAD, making it essential to prevent situations that could harm the patient while receiving circulatory support. VADs are classified as critical systems (CS), and adverse events (AEs) can lead to serious consequences, including hospitalization or even death. …”
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Robust Wide-Speed-Range Control of IPMSM with Multi-Axis Coordinated Extended State Observer for Dynamic Performance Enhancement by Wentao Zhang, Yanchen Zhai, Pengcheng Zhu, Yiwei Liu

“…However, traditional algorithms are prone to being affected by motor parameter mismatches, sensor sampling errors, and other disturbances under complex operating conditions, leading to insufficient robustness. …”
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Current Status and Trends of Wall-Climbing Robots Research by Shengjie Lou, Zhong Wei, Jinlin Guo, Yu Ding, Jia Liu, Aiguo Song

“…It is designed to perform tasks such as inspection, cleaning, maintenance, and rescue while maintaining stable adhesion to the surface. …”
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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…Finally, model compression through filter pruning, driven by evolutionary algorithms, trims redundant parameters to improve computational efficiency while preserving model accuracy. …”
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Exploring subthreshold processing for next-generation TinyAI by Farid Nakhle, Antoine H. Harfouche, Antoine H. Harfouche, Hani Karam, Vasileios Tserolas

“…We propose pathways such as algorithmic analogs of subthreshold integration, including graded activation functions, dendritic-inspired hierarchical processing, and hybrid analog-digital systems to emulate the energy-efficient operations of biological neurons. …”
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Formation of Research Vision in Schoolchildren Using Digital Mediation Tools according to Cultural-Historical Psychology. Part 1 by E.N. Pavlovsky, T.A. Sidorova, S.A. Smirnov, B.N. Tuchinov

“…The authors of the article believe that such models can help to overcome the limitations of explanatory models, this hypothesis is based on stimulus-reactive algorithmic strategies that negatively affect human development. …”
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Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China by Aiping Gou, Xuyuan Wang, Jiangbo Wang, Chenjie Wang, Guanzheng Tan

“…Higher GVI levels are generally associated with elevated Digital Elevation Models (DEM), while slope, aspect, and terrain undulation have relatively minor overall impacts on GVI. (2) The GVI is highest in the western regions and lowest in the eastern regions, with streets along the riversides exhibiting lower GVI levels. (3) GWR analysis reveals that road type and NDVI significantly influence the GVI. …”
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 Who Benefits from AI? Examining Different Demographics' Fairness Perceptions across Personal, Work, and Public Life by Sejin Paik, Ekaterina Novozhilova, Kate K. Mays, James E. Katz

“…Findings show that AI is generally perceived as more beneficial in personal and work contexts, while public life elicits greater skepticism and concern about harm. …”
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Matrix Metalloproteinase-9 is associated with tumor microenvironment remodeling of bladder cancer by Fang Fang, Tiange Wu, Mengxue Wang, Wenchao Li, Zonghao You, Ming Chen, Han Guan

“…We utilized these two algorithms to analyze the immune components of 433 bladder cancer cases from The Cancer Genome Atlas database, aiming to compensate for the current lack of large-sample single-cell information. …”
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