Cost-effectiveness analysis of best management practices for non-point source pollution in watersheds: A review by CHANG Jian, YU Jie, WANG Fei’er, ZHENG Siyuan

“…Application of cost-effectiveness analysis method included three categories, coupling NPS model with empirical calculation methods, coupling NPS model with economic model and cost-effectiveness analysis based on optimization algorithm. …”
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Unveiling nature's secrets: Deep learning for enhanced biogenic emission resolution by Antonio Giganti

“…These compounds, such as carbon monoxide and nitric oxide, play a pivotal role in atmospheric processes and have become a key focus of research over the past two decades due to their influence on atmospheric chemistry.Studying BVOC emissions is essential for numerical evaluations of past, current, and future air quality and climate conditions. …”
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Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables by Feng Gao, Yage Xing, Jialong Li, Lin Guo, Yiye Sun, Wen Shi, Leiming Yuan

“…The proposed framework enables the rapid, non-destructive detection of apricot TSSs and provides a reference for the quality evaluation of other fruits in agricultural applications.…”
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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

“…We focus on two dominant AI-EEG application models: supportive AI (augmenting clinical decisions) and predictive AI (anticipating seizures or outcomes).ResultsAI-based EEG analysis demonstrates significant potential in improving epilepsy detection, monitoring, and therapeutic evaluation. …”
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Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

“…Various EMG acquisition methods, including surface, intramuscular, and high-density surface EMG, are evaluated for their applicability in real-time control. …”
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A metaheuristic to support the distribution of COVID-19 vaccines by Augusto José da Silva Rodrigues, Gabriel Lopes Lima

“…Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. …”
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MACHINE LEARNING MODELS FOR PERFORMANCE PREDICTION OF YOUNG PLAYERS IN FOOTBALL ACADEMIES – A REVIEW by Armand Florin Bertea, Cezar Honceriu

“…The paper summarizes the different methods of using machine learning algorithms to detect new football talents, based on criteria such as physical, mental and technical qualities.…”
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Assessment of the Accuracy of Cardiopulmonary Resuscitation Videos in English on YouTube according to the 2015 AHA Resuscitation Guidelines by Burak Katipoğlu, İlker Akbaş, Abdullah Osman Koçak, Muhammet Furkan Erbay, Engin İhsan Turan, Kamber Kasali

“…Of 774 videos evaluated, 92 videos were included in the study after application of the exclusion criteria. …”
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Livestock Biometrics Identification Using Computer Vision Approaches: A Review by Hua Meng, Lina Zhang, Fan Yang, Lan Hai, Yuxing Wei, Lin Zhu, Jue Zhang

“…We also highlight the challenges faced in this field, such as data quality and algorithmic efficiency, and introduce the baseline models and innovative solutions developed to address these issues. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…This review compiles and synthesizes the most recent evidence regarding the impact of various stressors on crop quality and performance, with a particular emphasis on the interactions involving different plastic particles present in the environment and evaluates their potential risks to food safety and environmental resilience.…”
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Classification of single tree decay stages from combined airborne LiDAR data and CIR imagery by Tsz-Chung Wong, Abubakar Sani-Mohammed, Jinhong Wang, Puzuo Wang, Wei Yao, Marco Heurich

“…The monitoring of forest health is, therefore, indispensable for the long-term conservation of forests and their sustainable management. In this regard, evaluating the amount and quality of dead wood is of utmost interest as they are favorable indicators of biodiversity. …”
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Directly from surface to bulk: rapid prediction of internal densification in laser powder bed fusion additively manufactured nickel-based superalloy using machine learning by Longhai Hu, Keyu Shi, Dongdong Gu, Han Zhang, Miao Chang, Menghuan Yin, Jinming Xing, Ruiqi Wang, Kai Tang, Kuanyang Feng, Xuechun Hei

“…The rapid characterisation of internal metallurgical quality and densification behaviour in complex components remains one of the key challenges restricting the even broad applications of additive manufactured parts. …”
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Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU by Taeheon Kim, Jun Ma, Min Hong

“…At a 64 × 64 resolution, the single-sided cloth achieved around 65 FPS, while the double-sided configuration recorded approximately 40 FPS, demonstrating scalable quality adaptation depending on application requirements. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The algorithms (RF and STR) with the smallest Mean Absolute Error (MAE) and the highest residual error (RMSE) and the highest correlation coefficient (RP2) were selected for further parameter optimization and evaluation. …”
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The Improved MNSPI Method for MODIS Surface Reflectance Data Small-Area Restoration by Meixiang Wang, Wenjuan Zhang, Bowen Wang, Xuesong Ma, Peng Qi, Zixiang Zhou

“…The results demonstrate that the proposed algorithm outperforms the comparison methods across all evaluation metrics. …”
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Classroom Expression Recognition Based on Deep Learning by Yang Gao, Linyan Zhou, Jialiang He

“…In the field of education, classroom expression recognition technology has important application value. It can help teachers understand students’ emotions and learning attitudes and adjust teaching strategies in time to improve learning outcomes. …”
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Object-Specific Multiview Classification Through View-Compatible Feature Fusion by Javier Perez Soler, Jose-Luis Guardiola, Nicolás García Sastre, Pau Garrigues Carbó, Miguel Sanchis Hernández, Juan-Carlos Perez-Cortes

“…However, in numerous real-world applications, such as industrial inspection and quality control, there is an increasing need to distinguish particular objects from a pool of similar ones while simultaneously disregarding unknown objects. …”
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Development of Artificial Intelligent-Based Methodology to Prepare Input for Estimating Vehicle Emissions by Elif Yavuz, Alihan Öztürk, Nedime Gaye Nur Balkanlı, Şeref Naci Engin, S. Levent Kuzu

“…Machine learning has significantly advanced traffic surveillance and management, with YOLO (You Only Look Once) being a prominent Convolutional Neural Network (CNN) algorithm for vehicle detection. This study utilizes YOLO version 7 (YOLOv7) combined with the Kalman-based SORT (Simple Online and Real-time Tracking) algorithm as one of the models used in our experiments for real-time vehicle identification. …”
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Perioperative management of patients with rheumatic disorders: problems and solutions by A. A. Klimenko, A. A. Kondrashov

“…Currently management of patients with rheumatic disorders (RD) involves not only application of all of the known spectrum of mediations in accordance with current guidelines and algorithms but also timely use of high-tech medical care, for example, endoprosthesis of the large joints, spinal surgery, dental care, endovascular surgery, aimed at decreasing the level of disability and improving patients’ quality of life. …”
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A Multi-Objective Approach for Optimizing Virtual Machine Placement Using ILP and Tabu Search by Mohamed Koubàa, Rym Regaieg, Abdullah S. Karar, Muhammad Nadeem, Faouzi Bahloul

“…Furthermore, these three performance metrics are jointly optimized to ensure operational efficiency (OPEF) and minimal operational expenditure (OPEX). We rigorously evaluate the performance of the TS algorithm through extensive simulation scenarios and compare its results with those of the MOILP model, enabling us to assess the quality of the approximate solution relative to the optimal one. …”
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