Wireless key generation system for internet of vehicles based on deep learning by Han WANG, Liquan CHEN, Zhongmin WANG, Tianyu LU

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The development of Schoology web-based learning media with GeoGebra to improve the ICT literacy on quadratic functions by Arif Fatahillah, Irsalina Dw Puspitasari, Saddam Hussen

“…To sum up, the Schoology web-based learning media with GeoGebra is useful to improve ICT literacy on quadratic functions.…”
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Clearing Amyloid-Beta by Astrocytes: The Role of Rho GTPases Signaling Pathways as Potential Therapeutic Targets by Gyeongah Park, Zhen Jin, Hui Lu, Jianyang Du

“…These key regulators of cytoskeletal dynamics and intracellular signaling pathways function independently through distinct mechanisms but may converge to modulate inflammatory responses. …”
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Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers by Jaydev Zaveri, Shankar Raman Dhanushkodi, Michael W. Fowler, Brant A. Peppley, Dawid Taler, Tomasz Sobota, Jan Taler

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A Reinforcement Learning Approach Combined With Scope Loss Function for Crime Prediction on Twitter (X) by Liu Yang, Jiang Guofan, Zhang Yixin, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak

“…To tackle this issue, we propose a model that combines a reinforcement learning (RL) algorithm with a scope loss function. …”
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A Design Case: Assessing the Functional Needs for a Multi-faceted Cybersecurity Learning Space by Charles J. Lesko Jr.

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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

Subjects: “…Multi-functional therapeutic peptides…”
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Functional Brain Network Disruptions in Parkinson’s Disease: Insights from Information Theory and Machine Learning by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

“…<b>Objectives:</b> This study investigates disruptions in functional brain networks in Parkinson’s Disease (PD), using advanced modeling and machine learning. …”
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Machine learning-based pseudo-continuous pedotransfer function for predicting soil freezing characteristic curve by Sangyeong Park, Yongjoon Choe, Hangseok Choi, Khanh Pham

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A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation by Xianghu Jia, Weiwen Luo, Jiaqi Li, Jieqi Xing, Hongjie Sun, Shunyao Wu, Xiaoquan Su

“…While graph representation learning has recently introduced groundbreaking approaches for predicting novel associations, existing studies always overlooked the cumulative impact of functional modules such as protein complexes and the incompletion of some important data such as protein interactions, which limits the detection performance. …”
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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

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Machine learning orbital-free density functional theory resolves shell effects in deformed nuclei by X. H. Wu, Z. X. Ren, P. W. Zhao

“…Here, we develop a machine-learning-based orbital-free density functional theory, enabling the description of ground-state properties and potential energy curves for both spherical 16O and deformed 20Ne nuclei. …”
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Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions for Combinatorial Optimization Over Graphs by Redwan Ahmed Rizvee, Raheeb Hassan, Md. Mosaddek Khan

Subjects: “…Deep reinforcement learning…”
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A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events by Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyedehsan Roshan

“…To promote model diversity and robustness, we further introduce a novel loss function that encourages the network&#x2019;s key modules to learn disparate feature representations. …”
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Overcoming Data Scarcity: Guiding Citation Function Classification With Prompt-Based Few-Shot Learning by Krittin Chatrinan, Thanapon Noraset, Suppawong Tuarob

Subjects: “…Citation function analysis…”
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Learning Spatial Density Functions of Random Waypoint Mobility over Irregular Triangles and Convex Quadrilaterals by Yiming Feng, Wanxin Gao, Lefeng Zhang, Minfeng Qi, Qi Zhong, Ningran Li

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Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function by Marko Ruman, Tatiana V. Guy

“…Deep reinforcement learning has demonstrated superhuman performance in complex decision-making tasks, but it struggles with generalization and knowledge reuse&#x2014;key aspects of true intelligence. …”
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Using graph machine learning to identify functioning in patients with low back pain in terms of ICF by Linda Nieminen, Harri Ketamo, Jari Vuori, Markku Kankaanpää

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Research on Functional Mathematical Literacy of Pupils with Moderate Special Educational Needs Learning in Mainstream Schools by Laima Tomėnienė

“… The article deals with the research on functional mathematical literacy of pupils with moderate special educational needs (SEN) learning in eighth forms of mainstream schools. …”
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Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach by Jana Vojteková, Saeid Janizadeh, Matej Vojtek, Anna Tirpáková, Matej Ruttkay, František Petrovič

Subjects: “…Historical object with defensive function…”
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