Systematic Review and Meta-Analysis on the Accuracy of Artificial Intelligence Algorithms in Individuals Gender Detection Using Orthopantomograms by Mahmood Dashti, Tara Azimi, Farshad Khosraviani, Sarina Azimian, Lina Bahanan, Houyar Zahmatkesh, Heba Ashi, Zohaib Khurshid

“…A systematic review and meta-analysis were conducted according to PRISMA guidelines. The study included research articles that utilised AI algorithms for gender detection based on OPG images. …”
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Facial expression deep learning algorithms in the detection of neurological disorders: a systematic review and meta-analysis by Shania Yoonesi, Ramila Abedi Azar, Melika Arab Bafrani, Shayan Yaghmayee, Haniye Shahavand, Majid Mirmazloumi, Narges Moazeni Limoudehi, Mohammadreza Rahmani, Saina Hasany, Fatemeh Zahra Idjadi, Mohammad Amin Aalipour, Hossein Gharedaghi, Sadaf Salehi, Mahsa Asadi Anar, Mohammad Saeed Soleimani

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Research on dynamic spectrum resource allocation in mobile base station networks by Ming-jie HE, Yong-jun XU, Feng WANG, Wei WU, Chao-nong XU

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Trust Mechanism Based Secure Cluster Head Election Algorithm for Electric Power Wireless Sensor Networks by Lei WEI, Jiangtao XU, Yajuan GUO, Daohua ZHU

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Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band by Yongqi Zhang, Xinjie Liu, Shanshan Du, Mengjia Qi, Xia Jing, Liangyun Liu

“…The water vapor absorption band, the broadest absorption window, has a deeper absorption line than the O₂-B band, providing significant potential for SIF retrieval; however, substantial variation in atmospheric water vapor column concentrations limits research on SIF retrieval using this band. This study evaluates seven common SIF retrieval algorithms, including sFLD, 3FLD, iFLD, pFLD, SFM, SVD, and DOAS, using simulated datasets under varying atmospheric water vapor concentrations, spectral resolution (SR), and signal-to-noise ratios (SNRs). …”
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Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election by Mert Can Cakmak, Nitin Agarwal

“…Our analysis reveals a dual dynamic: symbolic content fosters tightly integrated, cohesive communities characterized by strong thematic consistency and deeper topic relevance, yet exhibits limited network-wide visibility, while non-symbolic content achieves broader connectivity by often serving as crucial bridges within recommendation networks. Building on prior research documenting the influential role of symbols in political mobilization and online misinformation, we further assess how symbolic imagery interacts with algorithmic recommendation processes. …”
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Evaluating The Prioritization of The Effect of Monetary Base Resources on Inflation in Iran Using The New Random Forest Algorithm by Mahnaz Sorkhvandi, Kiomars Sohaili

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Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms by Arash Ebrahimi Araghizad, Faraz Tehranizadeh, Kemal Kilic, Erhan Budak

“…To further enhance the capabilities of the proposed fault monitoring system, process-related and machine-related faults will be investigated in future research. Several machine learning algorithms will be explored as well as additional data sources will be integrated in order to enhance the accuracy and reliability of fault detection.…”
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Associations of DNA Methylation Algorithms of Aging With Cardiovascular Disease and Mortality Risk Among US Older Adults by Xian Cui, Shiqun Sun, Hui Zhang, Yulu Gong, Darong Hao, Yaqian Xu, Chongyu Ding, Jing Wang, Tongyan An, Jinlong Liu, Jun Du, Xiangwei Li

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Research on Image Feature Extraction and Environment Inference Based on Invariant Learning by Yujian Ding, Xiaoxu Ma, Bingxue Yang

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Research on the Local Dynamic Trajectory Planning Method Based on Relative Positioning by LUO Jiaxiang, YUAN Xiwen, HUANG Qiang

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A Comprehensive Overview of Single-Source and Dual-Source Energy Balance Algorithms ‎for Estimating Actual Evapotranspiration by Maryam Rezaei

“…The goal of the present research is to introduce and compare several evapotranspiration estimation methods, including Surface Energy Balance Algorithm for Land (SEBAL) model, Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model, Surface Energy Balance System (SEBS) model, Simpled Surface Energy Balance Index (S-SEBI) model, Operational Simplified Surface Energy Balance (SSEBop) model— Two- Source (soil + canopy) (TSM) model and Two-Source Time Integrated (TSTIM) model. …”
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Deep Deterministic Policy Gradient Algorithm Based Wind-Photovoltaic-Storage Hybrid System Joint Dispatch by Shuxing ZHANG, Chi MA, Zhixue YANG, Yao WANG, Hao WU, Zhouyang REN

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Comparative Analysis: Fractional PID vs. PID Controllers for Robotic Arm Using Genetic Algorithm Optimization by Ahmed Eltayeb, Gamil Ahmed, Imil Hamda Imran, Nezar M. Alyazidi, Ahmed Abubaker

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Energy consumption reduction method for green buildings based on human thermal discomfort posture recognition algorithm by Shijiu Song, Li Zhou

“…In the comparison of the four algorithms, the accuracy of the research algorithm is significantly higher than the other three algorithms, indicating that the research algorithm can accurately recognize the thermal uncomfortable posture of the human body. …”
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Application of sliding mode variable structure control algorithm in PMSM vector control system in complex environment. by Haoran Cui

“…Therefore, the contribution of the research is that the ASMC algorithm can suppress the chattering problem of the system and improve the approaching speed, thus improving the speed regulation quality of the system. …”
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DRLAttack: A Deep Reinforcement Learning-Based Framework for Data Poisoning Attack on Collaborative Filtering Algorithms by Jiaxin Fan, Mohan Li, Yanbin Sun, Peng Chen

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Algorithm for Managing Patients Hospitalized in the Surgical Wards Due to COVID-19-Related Acute Abdominal Pathology by D. G. Buribayev, D. B. Tulyaganov, Kh. E. Anvarov

“…Was to improve the outcomes of treatment of patients with COVID-19-related acute abdominal pathology by developing and implementing an algorithm for the diagnosis and treatment of those patients.MATERIAL AND METHODS. …”
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Improved Virtual Potential Field Algorithm Based on Probability Model in Three-Dimensional Directional Sensor Networks by Junjie Huang, Lijuan Sun, Ruchuan Wang, Haiping Huang

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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…To this end, this paper systematically reviews progress in the application of intelligent algorithms in hydrodynamic noise research, focusing on their advantages in the optimal design of noise sources, noise prediction, and control strategy optimization. …”
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