A comprehensive survey of scoring functions for protein docking models by Azam Shirali, Vitalii Stebliankin, Ukesh Karki, Jimeng Shi, Prem Chapagain, Giri Narasimhan

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Machine learning-supported manufacturing: a review and directions for future research by Baris Ördek, Yuri Borgianni, Eric Coatanea

Subjects: “…Machine learning…”
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An Optimized Model for Identification of Cerebral Palsy Using Deep Learning by Md Anjar Ahsan, Hassan bin Mohammed, Abhilash Maroju, Nurhafizah Moziyana Mohd Yusop, Wan Su Emi Yusnita Wan Yusof, Najjah Salwa Abd Razak, Mohd Arif Dar

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Machine learning-based spirometry reference values for the Iranian population: a cross-sectional study from the Shahedieh PERSIAN cohort by Mohammad Sadegh Loeloe, Reyhane Sefidkar, Seyyed Mohammad Tabatabaei, Amir Houshang Mehrparvar, Sara Jambarsang

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Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning by Minjie Ma, Xuewei Wang, Yang Li, Jia Wang

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High-quality control of receiver functions using a capsule neural networkKey points by Mona H. Hegazi, Ahmad M. Faried, Omar M. Saad

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The Comparison of Activation Functions in Feature Extraction Layer using Sharpen Filter by Oktavia Citra Resmi Rachmawati, Ali Ridho Barakbah, Tita Karlita

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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction by Katerina Eyre, Moezedin Javad Rafiee, Margherita Leo, Junjie Ma, Elizabeth Hillier, Negin Amini, Josephine Pressacco, Martin A. Janich, Xucheng Zhu, Matthias G. Friedrich, Michael Chetrit

Subjects: “…Cardiac function…”
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Cost-sensitive regression learning on small dataset through intra-cluster product favoured feature selection by Fangfang Xu, Huan Zhao, Weihua Zhou, Yun Zhou

“…The experimental results show that the ICPF algorithm significantly reduces the number of dimensions of the selected feature set and improves the performance of cost-sensitive regression learning. The misprediction cost decreased by 33.5% (linear-linear cost function) and 32.4% (quadratic-quadratic cost function) after adopting the ICPF algorithm. …”
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EFFECT OF HABITUAL MUSIC LISTENING ON ATTENTION, LEARNING, AND MEMORY: AN OBSERVATIONAL CROSS-SECTIONAL STUDY AMONG STUDENTS IN VIJAYAWADA. by Srija Kachana, Lakshmi Divya Yadavalli, Srujana Dampetla, Wunnava Maruthi, Indla Devasena

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A Yarn Quality Prediction Method Based on M-ESTIMATOR Robust Broad Learning System With Tightly Cascaded Feature Layers by Baowei Zhang, Zhilin Guo, Yonghua Wang

Subjects: “…Broad learning system…”
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Rapid prediction of key residues for foldability by machine learning model enables the design of highly functional libraries with hyperstable constrained peptide scaffolds. by Fei Cai, Yuehua Wei, Daniel Kirchhofer, Andrew Chang, Yingnan Zhang

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Pilot evaluation of a socio-emotional learning program on executive functions in elementary school students: a cluster-randomized controlled trial by Rita Antunes, Rita Antunes, Tânia Carneiro, Luciana Joaquim, Luciana Joaquim, Margarida Matos, Joana Alexandre, Marisa G. Filipe

Subjects: “…social and emotional learning program…”
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Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed by Rukai Wang, Ximin Yuan, Fuchang Tian, Minghui Liu, Xiujie Wang, Xiaobin Li, Minrui Wu

“…We employ STGCN and GWN models with the spatiotemporal attention mechanism. Enhanced loss functions further refine flood prediction accuracy. …”
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A deep machine learning model development for the biomarkers of the anatomical and functional anti-VEGF therapy outcome detection on retinal OCT images by B.E. Malyugin, S.N. Sakhnov, L.E. Axenova, K.D. Axenov, E.V. Kozina, V.V. Vronskaya, V.V. Myasnikova

“…Predictors of this anatomical outcome, as well as predictors of functional outcome or final visual acuity, can be assessed using optical coherence tomography (OCT). …”
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The relationship between parent’s mental health and professional functioning and students’ e-learning burnout and well-being during the COVID-19 pandemic by Katarzyna Tomaszek, Agnieszka Muchacka-Cymerman

“…Student burnout from distance learning did not significantly correlate with work flow and online job burnout of parents. …”
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Effects of repetitive transcranial magnetic stimulation on learning and memory cognitive function in rats with vascular cognitive impairment and its neural induction mechanism by Jiati Wang, Huan Gao

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Deep Learning Strategy for UAV-Based Multi-Class Damage Detection on Railway Bridges Using U-Net with Different Loss Functions by Yong-Hyoun Na, Doo-Kie Kim

“…To enable multi-class segmentation, the U-Net model was trained using three different loss functions: Cross-Entropy Loss, Focal Loss, and Intersection over Union (IoU) Loss. …”
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Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

Subjects: “…Building function…”
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Machine learning analysis of kinematic movement features during functional tasks to discriminate chronic neck pain patients from asymptomatic controls by Filippo Moggioli, Óscar Rodríguez-López, Elena Bocos-Corredor, Constantino Antonio García, Sonia Liébana, Tomás Pérez-Fernández, Cristina Sánchez, Susan Armijo-Olivo, José Angel Santos-Paz, Aitor Martín-Pintado-Zugasti

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