RBF-Learning-Based Many-Objective Metaheuristic for Robust and Optimal Controller Design in Fixed-Structure Heading Autopilot by Nattapong Ruenruedeepan, Sujin Bureerat, Natee Panagant, Nantiwat Pholdee

“…This paper presents an innovative many-objective metaheuristic (MnMH) algorithm designed to tackle the challenges of robust and optimal controller design for fixed-structure heading autopilots. …”
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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…Second, we introduce the SIoU loss function to address the orientation mismatch issue between predicted and ground truth bounding boxes. Finally, we employ the LAMP pruning algorithm to compress the model. …”
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Terminal ileitis: Questions of differential diagnosis and prospects for treatment. A review by Alexey M. Osadchuk, Oleg V. Golovenko, Irina D. Loranskaia

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A Multi-Agent Optimal Bidding Strategy in Multi-Operator VPPs Based on SGHSA by Shupeng Li, Xianxu Huo, Xiyuan Zhang, Guodong Li, Xiangyu Kong, Siqiong Zhang

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Treatment of recurrent ureteral stricture after kidney transplantation with nitinol stent by A. V. Shabunin, G. M. Chechenin, P. A. Drozdov, I. V. Nesterenko, S. A. Astapovich, E. A. Lidzhieva

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A Single-Phase Five-Level Switched-Capacitor Boost Inverter With Improving Voltage Gain by Duc-Tri Do, Thuan-Thien Vu, Khai M. Nguyen, Vinh-Thanh Tran

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MULTINOMIAL LOGISTIC REGRESSION MODEL USING MAXIMUM LIKELIHOOD APPROACH AND BAYES METHOD ON INDONESIA'S ECONOMIC GROWTH PRE TO POST COVID-19 PANDEMIC by Arie Purwanto, Muhammad Aziz Suprayogi, Erwan Setiawan, Joao Ferreira Rendes Bean Loly, Gusti Arviana Rahman, Anang Kurnia

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Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets by Dameng WANG, Zhiyong MA, Yibing LIU, Wei TENG

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Scene-Adaptive Loader Trajectory Planning and Tracking Control by Yingnan Li, Wenwen Dong, Tianhao Zheng, Yakun Wang, Xuefei Li

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Are minimum indoor air quality requirements combined with passive retrofit solutions enough to guarantee thermal comfort in southern Spain High Schools? by Calama-González Carmen María, Escandón Rocío, Suárez Rafael

“…A representative educational building is selected as case study to simulate the performance of the existing high school stock in southern Spain. …”
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Robust Backstepping Control for Cold Rolling Main Drive System with Nonlinear Uncertainties by Xu Yang, Kai-xiang Peng, Chao-nan Tong

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Improving thyroid disorder diagnosis via innovative stacking ensemble learning model by Ayesha Hassan, Shabana Ramzan, Ali Raza, Muhammad Munwar Iqbal, Aseel Smerat, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

“…Five advanced machine learning (ML) algorithms, logistic regression, support vector machine, decision tree, random forest, and gradient boosting are employed to develop predictive models. …”
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Artificial intelligence‐driven insights: Precision tracking of power plant carbon emissions using satellite data by Zeqi Zhang, Di Leng, Yingjie Li, Xuanang Gui, Yuheng Cheng, Junhua Zhao, Zhengwen Zhang, Amer M. Y. M. Ghias

“…This study uses a new sophisticated pipeline that combines tropospheric monitoring instrument satellite data, power plant attributes, and advanced artificial intelligence algorithms to build a predictive carbon emission model. …”
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Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders by Bogdan Florian Socoliuc, Andrei Alexandru Suciu, Mădălina Ecaterina Popescu, Doru Alexandru Plesea, Florin Nicolae

“…The application of machine learning algorithms provides predictive insights that support real-time adjustments to job postings, optimizing recruitment strategies. …”
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An advanced structural health monitoring IoT platform for offshore wind turbine blades by Zhou Xingguo, Tian Yankang, Qin Yi, Charitidis Costas A., Milickovic Tanja K., Termine Stefania

“…This research focuses on developing a comprehensive, real-time monitoring system that utilises advanced sensor networks and edge computing, empowering advanced predictive algorithms to strengthen in-time maintenance of turbine blades, improving operational efficiency and reducing maintenance cost.…”
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Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Dataset from the Festival of Lights in Lyon by Oscar Dufour, Huu-Tu Dang, Jakob Cordes, Raphael Korbmacher, Mohcine Chraibi, Benoit Gaudou, Alexandre Nicolas, Antoine Tordeux

“…Abstract The dynamics of dense crowds have received considerable attention from researchers seeking fundamental understanding or aiming to develop data-driven algorithms to predict pedestrian trajectories. However, current research mainly relies on data collected in controlled settings. …”
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Impact Analysis of BIM on Power Substation Project Costs: Techno-Economic Data Evidence from China by Ding Liu, Lizhong Qi, Yi Sun, Jingguo Rong, Su Zhang, Guangze Yu

“…To this end, this study collected total project cost data from 164 power substation projects and techno-economic statements from 34 power substation projects from SGCC to capture data evidence of the impact of BIM on project costs and explore its patterns. Algorithms such as hierarchical clustering based on improved DTW and feature selection based on QDA were designed for data mining. …”
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AI-Driven Future Farming: Achieving Climate-Smart and Sustainable Agriculture by Karishma Kumari, Ali Mirzakhani Nafchi, Salman Mirzaee, Ahmed Abdalla

“…Using sophisticated algorithms to predict soil conditions, improving agricultural yield projections, diagnosing water stress from sensor data, and identifying plant diseases and weeds through image recognition, crop mapping, and AI-guided crop selection are some of the main applications investigated. …”
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Ginkgetin Alleviates Inflammation and Senescence by Targeting STING by Yadan Liu, Jialin Ye, Zisheng Fan, Xiaolong Wu, Yinghui Zhang, Ruirui Yang, Bing Jiang, Yajie Wang, Min Wu, Jingyi Zhou, Jingyi Meng, Zhiming Ge, Guizhen Zhou, Yuan Zhu, Yichuan Xiao, Mingyue Zheng, Sulin Zhang

“…To reveal the molecular mechanism of Ginkgetin's anti‐aging effect, a graph convolutional network‐based drug “on‐target” pathway prediction algorithm for prediction is employed. The results indicate that the cGAS‐STING pathway may be a potential target for Ginkgetin. …”
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Hydrodynamic coefficients identification of ship simplified modular model based on support vector regression by Lifei SONG, Yuqing WANG, Wei PENG, Peiyong LI, Yushan LIu, Yongfeng ZHANG

“…The calculated values of root mean square error (RMSE) and correlation coefficient (CC) fall within a favorable range. ConclusionsThe SVR algorithm successfully identifies the hydrodynamic derivatives of the modular model, the identified hydrodynamic coefficients exhibit high accuracy, and the established model demonstrates good predictive capability and robustness.…”
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