Computational fluid dynamics and machine learning integration for evaluating solar thermal collector efficiency -Based parameter analysis by Xiaoyu Hu, Lanting Guo, Jiyuan Wang, Yang Liu

“…The hybrid methodology shows promise for efficiently optimizing solar thermal collector designs at lower computational costs than traditional methods to provide valuable insights for solar food drying systems.…”
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On transaction costs in minimum-risk portfolios: insights into risk parity and asset allocation by Denis Veliu, Aranit Shkurti, Antonio Luciano Martire

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Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization by Awais Khan, Jung-Yeon Kim, Chomyong Kim, Muhammad Attique Khan, Hyojin Shin, Jiyoung Woo, Yunyoung Nam

“…The 7-RBNet and 9-RBNet self-attention models demonstrated superior accuracy and precision rates, leading us to exclude the 3-RBNet self model from further analysis. To optimize feature selection and improve classification performance while reducing computational costs, we employed the tree seed algorithm on the self-attention features of 7-RBNet and 9-RBNet self-attention models. …”
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Enhancing cold storage efficiency: Continuous deep deterministic policy gradient approach to energy optimization utilizing strategic sensor input data by Jong-Whi Park, Young-Min Ju, Hak-Sung Kim

“…Therefore, Experimental results demonstrate a remarkable 19.8 % reduction in energy consumption compared to conventional methods while maintaining a stable target temperature of −10 °C. …”
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Exploring Changes in Teachers' Views on Assessment Practices at Madrasah Ibtidaiyah by Waluyo Satrio Adji, Muhammad Nadir, Ibanez Sheila Anggi Damayanti

“…The results of this study indicate that training with the ABCD method successfully changed the conceptual understanding of Batu City Elementary School teachers regarding pedagogical assessment (formative and summative) while strengthening the evidence that top-down training is effective in changing educators' perspectives on evaluation.…”
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A Short-Term Optimal Scheduling Model for Wind-Solar-Hydro-Thermal Complementary Generation System Considering Dynamic Frequency Response by Qiuyan Zhang, Jun Xie, Xueping Pan, Liqin Zhang, Denghui Fu

“…Then the dynamic frequency response constraints are incorporated into the traditional optimal scheduling model and the Mixed Integer Linear Programming (MILP) method is used to solve it. …”
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Designing microcompression experiments for nanoporous metals via computational plasticity by Tim Fischer, Norbert Huber

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Optimizing Wound Healing in Radial Forearm Donor Sites: A Comparative Study of Ulnar-Based Flap and Split-Thickness Skin Grafting by Adam Galazka, Katarzyna Stawarz, Karolina Bienkowska-Pluta, Monika Paszkowska, Magdalena Misiak-Galazka

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Exploring the Streetscape Perceptions from the Perspective of Salient Landscape Element Combination: An Interpretable Machine Learning Approach for Optimizing Visual Quality of Str... by Wanyue Suo, Jing Zhao

“…Understanding how people perceive urban streetscapes is essential for enhancing the visual quality of the urban environment and optimizing street space design. While perceptions are shaped by the interplay of multiple visual elements, existing studies often isolate single semantic features, overlooking their combinations. …”
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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…For simplification and practical field implementation, the same set of SOP values is applied across all 11 timesteps during the optimization process. Using the proposed optimization framework, the optimal results demonstrate improvements in Pavg, increasing by up to 109.8% (from 13.99 to 29.35 mm) and in S, reducing up to 79.6% (from 34.55 to 7.06 mm) when MOO is conducted as a time series using the simplified method. …”
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Evaluation of Optimized Lumbar Oblique X-Ray Angles with Positioning Assistance for Enhanced Imaging Quality: A Pilot Study in an Asian Cohort by Yu-Li Wang, Hsin-Yueeh Su, Chao-Min Cheng, Kuei-Chen Lee

“…Radiologists evaluated 600 images based on waist-to-hip ratio (WHR) and body mass index to identify the optimal angulation for various body types. <b>Results:</b> For individuals with a WHR of 0.85, a 35° angle provided superior image quality, while 45° was more effective for slimmer patients. …”
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A framework for flood risk zoning and prioritization combining maximum entropy and game theory by Ali Haghizadeh, Reza Fathiganji, Ehsan Sohrabi, Aghdas Lotfi, Leila Ghasemi

“…The MaxEnt model subsequently predicted high-risk areas with exceptional accuracy (AUC = 0.945 for training; 0.906 for validation), while the Borda method ranked the sub-watersheds through parameter weighting. …”
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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition by Saliha Artabaz, Layth Sliman

“…Abstract Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on feature dependencies, redundancies, and selection methods. …”
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Experimental analysis and optimization of hydrogen pre-cooling liquefaction process with composite catalyst through a hybrid priority cluster modeling approach by Faisal Khan, Osama Khan, Praveen Pachauri, Mohd Parvez, Aiyeshah Alhodaib, Zeinebou Yahya, Haidar Howari, M. Javed Idrisi, Worku Tenna

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An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention by Qifeng Niu, Hui Wang, Feng Xu

“…Extensive evaluations on benchmark datasets demonstrate the effectiveness of the proposed method. It achieves a modest but consistent accuracy gain over strong baselines (approximately 2%) while simultaneously reducing model size by around 30% and inference latency by about 20%, proving highly effective for practical fine-grained recognition applications requiring both high accuracy and operational efficiency.…”
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Utilization of biochar derived from industrial hemp stalks with various cooling methods for asphalt binder modification. by İbrahim Aslan, Funda Tasdemir, Yuksel Tasdemir

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Optimal surgery sequence in the treatment of degenerative hip-spine syndrome: a propensity score-based inverse probability of treatment weighting analysis by Yiming Fan, Yi Huang, Tianhao Wang, Qi Wang, Han yu, Chao Xue, Guoquan Zheng, Yan Wang

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Quantitative stability analysis of STATCOM in voltage control mode and Enhanced control method based on voltage feedforward by Song Zhang, Yandong Chen, Qianyuan Li, Zhiwei Xie, Youze Fu, Wenhua Wu

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Optimal bone-implant contact sites in the zygomatic region for quad zygomatic implants placement: a retrospective study in Vietnamese patients on CBCT by Mi Nguyen-Tra Le, Tri Minh Tran, Phuc Ngoc Nguyen, Hung Chi Vo, Lam Hung Tran

“…This study utilized cone beam computed tomography (CBCT) to identify optimal zygomatic bone regions for implant placement by assessing bone-implant contact (BIC) while minimizing intrusion risks into the infratemporal fossa (ITF). …”
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MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats by Zhengsheng Zhan, Dangyue Lai, Canjian Huang, Zhixiang Zhang, Yongle Deng, Jian Yang

“…Experimental results on 18 benchmark functions demonstrate the enhanced convergence speed and stability of MSCSO. The proposed method has a superior performance in multimodal optimization tasks. …”
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