Optimizing Fingerprint Identification: CNNs With Raw Images Versus Handcrafted Features for Real-Time Systems by Shaik Salma, Tauheed Ahmed, Garimella Ramamurthy

“…This proposed method outperforms recent methods in accuracy and speed, validated by ROC, precision-recall, F1-score, and accuracy metrics in real-world scenarios. …”
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Impact of SAR Image Quantization Method on Target Recognition With Neural Networks by Kangwei Li, Di Wang, Daoxiang An

“…Dataset bias, particularly the bias induced by different SAR image quantization methods, is one of the key factors impacting the generalization capability of models. …”
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NUMERICAL RESEARCH OF THE MOISTURE CONDENSATION ELIMINATION IN THE CABIN OF THE UNIFIED TECHNOLOGICAL ELECTRIC TRANSPORT VEHICLE by N. M. Filkin, A. M. Tatarkin

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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“…COMSOL Multiphysics and ANSYS Fluent modeled flow dynamics and adsorption in porous media with experimental optimization. Based on material properties, artificial neural networks and random forests were trained on experimental and simulated data to predict adsorption capacities and reveal adsorbent material behavior under different conditions. …”
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Optimizing patient autonomy: a discrete choice experiment on preferences and disparities in healthcare provider selection by Gideon Leibner, Shuli Brammli-Greenberg

“…Objectives This study explores public preferences regarding hospital choice before the 2023 reform, evaluates the relative importance of key hospital attributes influencing decision-making, assuming a baseline of high-quality care and analyses how these preferences vary across demographic and socio-economic groups. Methods Utilizing a discrete choice experiment involving 2117 participants, this study quantifies preferences for different hospital attributes, including hospital type, geographical location, and appointment availability. …”
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Formulation, optimization, and characterization of naringenin-loaded halloysite nanotube to achieve enhanced antioxidant and anticancer properties by Hamed Hamedinasab, Hossein Sabahi, Morteza Hosseini, Ali Hossein Rezayan

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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“…COMSOL Multiphysics and ANSYS Fluent modeled flow dynamics and adsorption in porous media with experimental optimization. Based on material properties, artificial neural networks and random forests were trained on experimental and simulated data to predict adsorption capacities and reveal adsorbent material behavior under different conditions. …”
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Study on the Impact of Ventilation Methods on Droplet Nuclei Transmission in Subway Carriages by Xinkai Wu, Rui Ling, Xingyu Wan, Haihua Ren, Xuerun Jing, Guozeng Feng

“…This paper uses the Euler–Lagrange method to simulate the distribution of droplet nuclei produced by coughing under six different operating conditions in a subway carriage. …”
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Investigating the effects of various irrigation methods on bacterial communities in paddy soil by Yaoben Lin, Xinyu Sun, Guangyu Li

“…Different irrigation methods can impact the micro-ecological environment of paddy soil, affecting crop growth. …”
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Angle detection method for surface mount components based on weighted clustering by Chunfu ZHANG, Zhiqiang SONG

“…Firstly, to address the impact of varying illumination on edge recognition, we introduce an entropy-based adaptive thresholding method. This approach maintains stable performance under different lighting conditions, ensuring accurate extraction of component edges. …”
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Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

“…Expanding the dataset, optimizing preprocessing, and training separate models for different image locations could enhance performance further.…”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

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The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications by Tamás Kegyes, Zoltán Süle, János Abonyi

“…Reinforcement learning (RL) methods can successfully solve complex optimization problems. …”
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NON-INVASIVE METHOD OF MONITORING INTRACRANIAL PRESSURE FOR THE EVALUATION OF HEPATIC ENCEPHALOPATHY by Lucas Kleebank FERNANDES, Ricardo Cesar BARBOSA, Moacir Fernandes de GODOY

“…Objective: To evaluate the feasibility and performance of a new, non-invasive method of monitoring ICP, as an alternative to invasive methods, and to correlate the clinical diagnosis of HE with the morphological findings of ICP. …”
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CT coronary fractional flow reserve based on artificial intelligence using different software: a repeatability study by Jing Li, Zhenxing Yang, Zhenting Sun, Lei Zhao, Aishi Liu, Xing Wang, Qiyu Jin, Guoyu Zhang

“…The ROC curve shows the highest AUC for the vessel shifting length, with an optimal cut-off of 0.85 mm. Conclusion CT-FFR measurements vary among software from different manufacturers, leading to potential misclassification of qualitative diagnostics. …”
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Optimizing Performance in Badminton Tournaments: The Relationship Between Timing, Quantity, and Quality Among Professional Players by Jen-Hao Hsu, Hsin-Lun Lin, Hung-Chieh Fan Chiang, Duan-Shin Lee, Yang Lee, Cheng-Wei Huang, Zai-Fu Yao

“…Cluster analysis revealed two distinct performance groups, with the top 20 men’s and top 12 women’s singles players adopting different strategies compared to lower-ranked counterparts. …”
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Optimizing antithrombotic therapy following mitral valve repair: a comprehensive network meta-analysis by Mohamed Ibrahim Gbreel, Mohamed Hamouda Elkasaby, Marwa Hassan, Marc Ulrich Becher, Mahmoud Balata

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Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area by Shengdi Wang, Junzhi Chen, Yonggang Zhang, Xiaowei Qiao, Zhiping Zhang, Xin Wang

“…This paper used orthogonal experiments and multi factor optimization methods to study the optimal mixing ratio of similar materials for limestone surrounding rock in a goaf of a certain iron mine in Yunnan, and introduced a new material combination (quartz, cement, gypsum, barite, and glycerol), and utilized orthogonal experiments alongside machine learning techniques for predictive analysis. …”
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Optimization of heat transfer coefficient in green roof modules based on life cycle carbon emissions by Dengguo Wu, Zhengwen Wang, Jian Yang, Xiaojia Liu, Tao Wang

“…The results show that for different soil thicknesses, heat transfer coefficients are 0.1 m (0.76 W/m2·K), 0.2 m (0.624 W/m2·K), 0.3 m (0.53 W/m2·K), and 0.4 m (0.46 W/m2·K). …”
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Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration by M.D. Mukelabai, E.R. Barbour, R.E. Blanchard

“…Previous studies have included many aspects into their optimizations, including technical parameters and different costs/socio-economic objective functions, however there is no clear best-practice framework for model development. …”
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