Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11 by Zeyu Yu, Dongyun Wang, Hanyang Wu

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Analysis of VAE-LSTM Performance in Detecting Anomalies in Average Daily Temperature Data in Jakarta 2000-2023 by INDRI RAMDANI, YENNI ANGRAINI, INDAHWATI INDAHWATI

“…These dates are significant as they represent extreme weather events that can have severe implications for urban planning and climate change adaptation. The anomalies fall into the categories of point and contextual anomalies. …”
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TMN-Net: A Hybrid 2.5D Multi-Branch Transformer Network for Coronary Artery Segmentation in Cardiac Diagnosis by Bo Zhao, Jianjun Peng, Kai Zhang, Yongyan Fan, Ce Chen, Yang Zhang

“…While traditional methods such as U-shaped architectures provide significant advancements, they fall short in capturing multi-scale contextual information and handling imaging artifacts. …”
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Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability by Yang Tan, Bingxin Zhou, Lirong Zheng, Guisheng Fan, Liang Hong

“…Accurate prediction of protein variant effects requires a thorough understanding of protein sequence, structure, and function. Deep learning methods have demonstrated remarkable performance in guiding protein modification for improved functionality. …”
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Advanced material innovations for self-healing high-performance supercapacitors by Jibrin Muhammad Yelwa, Alhagie Drammeh, Haruna Musa, Opeoluwa O. Fasanya, Kalu M. Kalu, Shuaibu Abdullahi, Gueny Amirou Fall, Bashir M. Aliyu

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Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-Ahead Electricity Prices Using Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM)... by Ziyang Wang, Masahiro Mae, Takeshi Yamane, Masato Ajisaka, Tatsuya Nakata, Ryuji Matsuhashi

“…In Japan, the increasing integration of RES has caused day-ahead electricity prices to frequently fall to almost zero JPY/kWh during periods of high RES output, creating significant profitability challenges for electricity retailers. …”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…However, existing research often falls short in providing a comprehensive theoretical framework and fails to account for the intricate interplay of multi-dimensional factors in public health. …”
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Impact of teacher educational background on special education environment by Irvan Muchamad, Anggita Hemaylia Putri, Sudana Degeng Nyoman I., Setyosari Punaji, Degeng Made Duananda Kartika

“…There are many aspects to consider in providing special education services, including the quality of learning. Teachers play a crucial role in the quality of learning for students with special needs. …”
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Application of the Groundwater Data Mapper Tool to Assess Storage Changes in a Groundwater-Driven Basin in the Klamath Watershed, Oregon, USA by Daniel Shepard, Norman L. Jones, Gustavious P. Williams

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Estimation of Canopy Chlorophyll Content of Apple Trees Based on UAV Multispectral Remote Sensing Images by Juxia Wang, Yu Zhang, Fei Han, Zhenpeng Shi, Fu Zhao, Fengzi Zhang, Weizheng Pan, Zhiyong Zhang, Qingliang Cui

“…The results show that the SPAD estimation results vary from stage to stage, where the best estimation model for the flower-falling stage, fruit-setting stage and fruit-maturing stage is RF and those for the fruit expansion stage and fruit-coloring stage are PLSR and MLR, respectively. …”
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Enhanced Blood Loss Quantification Using a Novel Multi-Wavelength Imaging Approach by Ara Abigail E. Ambita, Laura T. David, Catherine Sim Co, Prospero C. Naval

“…A mean absolute percentage error (MAPE) of 8.475% was achieved, falling well within the acceptable error threshold of 20% in clinical blood loss estimations. …”
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Enhanced Transformer Network With High-Dimensional Attention Mechanism for Diabetic Retinopathy Classification by M. Rizvana, Sathiya Narayanan

“…The progression of DR includes mild NPDR, moderate NPDR, severe NPDR, and PDR. Various deep learning-based detection and classification algorithms have been developed to identify and categorize the disease. …”
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Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm by Ling Li, Tao Yue, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…The ICSA is utilised to select the essential figures further by introducing the dynamic perception probability for deciding whether to search locally or globally, a novel neighbor-following strategy for the local search and a global search strategy according to the crow’s search experience, resulting in accelerating the search efficiency while effectively avoiding falling into local optima. Experimental results demonstrate that the proposed system, based on support vector machine (SVM) with the EN-ICSA feature selection method, performs exceptionally well compared to other traditional machine learning and feature selection methods, achieving an accuracy of 91.94%, precision of 92.32%, recall of 89.85%, and F1-score of 90.82%.…”
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COMMENTARY: LEARNER-BASED LISTENING AND TECHNOLOGICAL AUTHENTICITY by Richard Robin

“…It also leads us to reexamine the value of pre-packaged listening comprehension materials in which L2 listeners are guided in listening strategies but are not encouraged to make use of technological innovations that native listeners are coming to use on a regular basis.A brief survey of the available user-directed modifications to online scripts leads one to the idea that in the immediate future — the next five to ten years — the frontier in language learning and technology will not be found in what program does what better, but rather which students use off-the-shelf technology to best facilitate their own learning in their own learning style. …”
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Automatic gait EVENT detection in older adults during perturbed walking by Shuaijie Wang, Kazi Shahrukh Omar, Fabio Miranda, Tanvi Bhatt

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ConBGAT: a novel model combining convolutional neural networks, transformer and graph attention network for information extraction from scanned image by Duy Ho Vo Hoang, Huy Vo Quoc, Bui Thanh Hung

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Optimization of Digital Media Utilization for Anti-Bullying Campaigns Among Generation Z by Triana Rejekiningsih, Dewi Ika Sari, Taufiq Subhanul Qodr, Yudi Ariana, Sri Sumaryati

“…After validation, this digital media fall into the 'Very Good' qualification. Therefore, based on assessments from media experts, content experts, and the director of the KAKAK Foundation, it is concluded that this application-based digital learning media product is categorized as 'feasible' for use as an alternative learning medium in promoting anti-bullying in junior high schools. …”
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A Workshop Example of Basic Design Education in Interior Architecture by Hatice Sena Azkur, Murat Oral

“…To avoid these difficulties, learning by doing is of great importance. The learning-by-doing approach was carried out in the form of a workshop within the scope of the “Basic Design 1” course of the Department of Interior Architecture at Konya Technical University in the fall semester of the 2022-2023 academic year. …”
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A comprehensive bibliometric analysis of punching shear failures in flat slabs by Utkarsh, Bulbul Ahmed, Shashank Chaudhary, Sphurty Raman, Rahul Tanwar, Nandini Urkude

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Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation by Bahram Jafrasteh, Ehsan Adeli, Kilian M. Pohl, Amy Kuceyeski, Mert R. Sabuncu, Qingyu Zhao

“…Abstract Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. …”
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