An unmanned intelligent inspection technology based on improved reinforcement learning algorithm for power large-area multi-scene inspection by Enmin Wang, Xin Meng, Jinglong Yu, Jiechang Wang, Liang Yin

Subjects: “…Improved reinforcement learning…”
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Cognitive functions in patients with locally advanced breast cancer during treatment and long-term posttreatment perio by T. N. Popova, Ye. A. Kuzevanova

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The songbird connectome (OSCINE-NET.ORG): structure–function organization beyond the canonical vocal control network by Andrew Savoy, Katherine L. Anderson, Joseph V. Gogola

“…This comprehensive digital map includes all known connectivity data, covering major brain superstructures and functional networks. Our analysis reveals that the songbird brain exhibits small-world properties, with highly connected communities functionally designated as motor, visual, associative, vocal, social, and auditory. …”
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Voice as a Health Indicator: The Use of Sound Analysis and AI for Monitoring Respiratory Function by Nicki Lentz-Nielsen, Lars Maaløe, Pascal Madeleine, Stig Nikolaj Blomberg

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A Surrogate Piecewise Linear Loss Function for Contextual Stochastic Linear Programs in Transport by Qi Hong, Mo Jia, Xuecheng Tian, Zhiyuan Liu, Shuaian Wang

Subjects: “…piecewise linear loss function…”
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Procedural performance is linked to motor skills and language ability: Findings from a knot-tying task in children with and without developmental coordination disorder by Yu-Ting Tseng, Hsinjen Julie Hsu

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Non-Rigid Cycle Consistent Bidirectional Network with Transformer for Unsupervised Deformable Functional Magnetic Resonance Imaging Registration by Yingying Wang, Yu Feng, Weiming Zeng

“…Background: In neuroscience research about functional magnetic resonance imaging (fMRI), accurate inter-subject image registration is the basis for effective statistical analysis. …”
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YOLOv5-RF: a deep learning method for tailings pond identification in high-resolution remote sensing images based on improved loss function by Weiming Zhang, Wenliang Jiang, Qiang Li, Yi Luo, Heng Zhang, Qisong Jiao, Yongsheng Li, Hongbo Jiang

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IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery by Qingquan Liao, Xuchong Liu, Wei Zhao, Yu Tong, Fangzheng Xu, Xinxin Liu, Yifan Chen

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Enhancing prediction of human traits and behaviors through ensemble learning of traditional and novel resting-state fMRI connectivity analyses by Takaaki Yoshimoto, Kai Tokunaga, Junichi Chikazoe

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A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning by Ying Chen, Zhe-Ming Lu, Jia-Lin Cui, Hao Luo, Yang-Ming Zheng

“…This paper introduces Re-DQN, a deep reinforcement learning-based algorithm for comprehensive coverage path planning in lawn mowing robots. …”
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Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach by Hoang Nhat-Duc, Nguyen Quoc-Lam

“…LightGBM is used to construct a functional mapping between the CS and its influencing factors. …”
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Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring by Takehiro Fujita, Kei Terayama, Masato Sumita, Ryo Tamura, Yasuyuki Nakamura, Masanobu Naito, Koji Tsuda

Subjects: “…characteristic functional group monitoring…”
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Manual wheelchair training programs: a scoping review of educational approaches and intended learning outcomes by Kimberly Charlton, Carolyn Murray, Natasha Layton, Stacie Attrill

“…Abstract Background Training programs grounded in educational theory offer a systematic framework to facilitate learning and outcomes. This scoping review aims to map the educational approaches documented for manual wheelchair training and to record intended learning outcomes and any relationships between learning theories, instructional design and outcomes. …”
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Building damage assessment in natural disasters: A trans- and interdisciplinary approach combining domain knowledge, 3D machine learning, and crowdsourcing by Julia Kohns, Vivien Zahs, Carolin Klonner, Bernhard Höfle, Lothar Stempniewski, Alexander Stark

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Combining satellite and field data reveals Congo's forest types structure, functioning and composition by Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain

“…We also described vegetation type structure and composition (floristic, functional and associated fauna) by linking the map with data from large inventories and derived from satellite images. …”
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Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks by Chih-Yu Liu, Cheng-Yu Ku, Wei-Da Chen, Ying-Fan Lin, Jun-Hong Lin

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Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer by Yang Cui, Weihang Zhang, Xin Zeng, Yitao Yang, Sung-Joon Park, Kenta Nakai, Kenta Nakai

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A lightweight neural attention-based model for service chatbots by Sinarwati Mohamad Suhaili, Mohamad Nazim Jambli

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A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem by Sumathy Krishnan, Surendran Rajendran, Mohammad Zakariah

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