Topology Knapsack Problem for Geometry Optimization by Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao

“…It also shows superior performance compared to popular community detection algorithms. The use of t-SNE for dimensionality reduction and K-means for clustering provides an effective solution for multi-attribute optimization. …”
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Global foot-and-mouth disease risk assessment based on multiple spatial analysis and ecological niche model by Qi An, Yiyang Lv, Yuepeng Li, Zhuo Sun, Xiang Gao, Hongbin Wang

“…Serotype SAT2 is prevalent in Africa and the Middle East, while Serotypes SAT1 and SAT3 are restricted to Africa. …”
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Signal mining and risk analysis of tisotumab vedotin adverse events based on the FAERS database by JuanJuan Li, Yang Zhao, Xueqin Yang, Juan Zheng, Ting Yuan, Qian Tang, Mei Guo

“…At the system organ class (SOC) level, only eye disorders (reporting odds ratio [ROR] = 11.53, proportional reporting ratio [PRR] = 9.53, information component [IC] = 3.25, and empirical bayes geometric mean [EBGM] = 9.53) and blood and lymphatic system disorders (ROR = 2.31, PRR = 2.26, IC = 1.18, and EBGM = 2.26) satisfied all four algorithms concurrently. The most common AE associated with TV is peripheral neuropathy (ROR = 23.03), while symblepharon (ROR = 1094.23) exhibited the strongest signal strength in the ROR algorithm. …”
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Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification by Eslam Eldeeb, Mohammad Shehab, Hirley Alves, Mohamed-Slim Alouini

“…The proposed algorithm is tested using a data set of images of hand-written letters. …”
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Automated insect detection and biomass monitoring via AI and electrical field sensor technology by Freja Balmer Odgaard, Páll Vang Kjærbo, Amir Hossein Poorjam, Khaled Hechmi, Rubens Monteiro Luciano, Niels Krebs

“…Furthermore, a biomass algorithm that estimates taxon-specific weights is introduced. …”
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Characterization of Historical Aerosol Optical Depth Dynamics Using LSTM and Peak Enhancement Techniques by Horia-Alexandru Cămărășan, Alexandru Mereuță, Lucia-Timea Deaconu, Horațiu-Ioan Ștefănie, Andrei-Titus Radovici, Camelia Botezan, Zoltán Török, Nicolae Ajtai

“…To mitigate this, a post-processing algorithm was developed to enhance the representation of AOD peaks and valleys. …”
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A Framework for Synergy Measurement Between Transportation and Production–Living–Ecological Space Using Volume-to-Capacity Ratio, Accessibility, and Coordination by Xiaoyi Ma, Mingmin Liu, Jingru Huang, Ruihua Hu, Hongjie He

“…By introducing an improved accessibility evaluation model and developing a coordination measurement algorithm, a three-dimensional evaluation mechanism covering development potential assessment, service efficiency diagnosis, and resource allocation optimization is established. …”
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Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis by Branko Nečemer, Jure Fakin, Srečko Glodež, Matjaž Šraml, Jernej Klemenc, Gorazd Fajdiga

“…The quasi-static experimental tests were performed for radial and tangential wood fibre orientation, while the fatigue tests were performed only for tangential orientation and evaluated using a conditional two-parametric Weibull's probability density function. …”
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A hybrid prediction and multi-objective optimization framework for limestone calcined clay cement concrete mixture design by Xi Chen, Weiyi Chen, Zongao Li, Pu Zhang

“…Non-dominated Sorting Genetic Algorithm-II was employed for MOO, generating Pareto fronts to minimize cost and embodied carbon while meeting strength requirements. …”
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Collaborative Control of Virtual Formation Trains Based on Event Triggering Mechanism by WEI Wenjing, XIAO Baodi, YUE Lili, LI Maoqing, LIN Junting

“…The stability analysis of the control system is carried out based on Lyapunov stability theory, and the effectiveness of the algorithm applied to virtual formation is verified by MATLAB simulation software. …”
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A Capacitated Vehicle Routing Model for Distribution and Repair with a Service Center by Irma-Delia Rojas-Cuevas, Elias Olivares-Benitez, Alfredo S. Ramos, Samuel Nucamendi-Guillén

“…Additionally, a Variable Neighborhood Search (VNS) algorithm was implemented and compared with AMPL-Gurobi. …”
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EER-DETR: An Improved Method for Detecting Defects on the Surface of Solar Panels Based on RT-DETR by Jiajun Dun, Hai Yang, Shixin Yuan, Ying Tang

“…Experimental verification shows that the improved algorithm increased the average precision (mAP@0.5) on the panel dataset by 1.9%, and its comprehensive performance also exceeded RT-DETR. …”
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Efficient Hyperparameter Optimization Using Metaheuristics for Machine Learning in Truss Steel Structure Cross-Section Prediction by Donwoo Lee, Seunghyeon Noh, Jeonghyun Kim, Seungjae Lee

“…This paper employs metaheuristic algorithms, which are efficient in searching for global optima, to perform HPO on 10-bar and 17-bar truss structure datasets. …”
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Can self-rated health be useful to primary care physicians as a diagnostic indicator of metabolic dysregulations amongst patients with type 2 diabetes? A population-based study by K. Umeh, S. Adaji

“…Conclusions While poor SRH can help primary care physicians identify T2DM patients with metabolic dysfunction, it may not offer added diagnostic usefulness over clinical biomarkers.…”
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Charging Station Management Strategy for Returns Maximization via Improved TD3 Deep Reinforcement Learning by Hengjie Li, Jianghao Zhu, Yun Zhou, Qi Feng, Donghan Feng

“…To handle increasingly complex regulation scenarios, a deep reinforcement learning algorithm (DRL) based on the improved twin delayed deep deterministic policy gradient (TD3) is used to construct basic energy management strategies in this paper. …”
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Myocarditis Diagnosis Using Semi-Supervised Generative Adversarial Network and Differential Evolution by Haifeng Gui, Na Zhang

“…Myocarditis, a significant public health issue, can lead to heart failure and death. While endomyocardial biopsy (EMB) provides accurate diagnoses, its invasiveness limits its use in severe cases. …”
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YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images by Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin

“…This study proposes employing the deep learning algorithm YOLOv9, the latest You Only Look Once (YOLO) version, for identifying asphalt pavement distresses. …”
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Current Measurement and Fault Detection Based on the Non-Invasive Smart Internet of Things Technique by Abhrodeep Chanda, Abhishek Gudipalli

“…Traditional methods of electrical measurement require the involvement of a trained professional, while more advanced alternatives can be prohibitively expensive or offer limited customisation options. …”
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PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers by Asadullah Shaikh, Mueen Uddin, Mohamed A. Elmagzoub, Abdullah Alghamdi

“…Researchers are seeking to find practical solutions to reduce power consumption in data centers while guaranteeing the desired level of services and service level objectives. …”
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An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels by Kun Yang, Jinglong Lin, Jianjun Ding, Bing Zheng, Li Qin

“…The innovation of the system lies in its dual-subsystem architecture: a sensing terminal equipped with a nine-axis sensor, temperature and humidity sensors, a GPS module, and a surveillance camera collects critical data, while a decision support subsystem processes this information via a fuzzy logic-based algorithm to generate a “danger score”. …”
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