Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques by Shihui Li, Lan Thi Nguyen, Wirapong Chansanam, Natthakan Iam-On, Tossapon Boongoen

“…The recognition of Dongba pictographs presents significant challenges due to the pitfalls in traditional feature extraction methods, classification algorithms’ high complexity, and generalization ability. …”
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A Finite Element Approach to the Upper-Bound Bearing Capacity of Shallow Foundations Using Zero-Thickness Interfaces by Yu-Lin Lee, Yu-Tang Huang, Chi-Min Lee, Tseng-Hsing Hsu, Ming-Long Zhu

“…This study presents a robust numerical framework for evaluating the upper-bound ultimate bearing capacity of shallow foundations in cohesive and C-phi soils using a self-developed finite element method. …”
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Implementation of coded targets for metrology applications in MicMac, a free open-source photogrammetric software by J.-M. Muller, M. Daakir, M. Pierrot Deseilligny, F. Barcet

“…This study presents recent developments in the integration of coded-targets within <em>MicMac</em>, a free open-source photogrammetric software. …”
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A Road-Adaptive Vibration Reduction System with Fuzzy PI Control Approach for Electric Bicycles by Chao-Li Meng, Van-Tung Bui, Chyi-Ren Dow, Shun-Ming Chang, Yueh-E (Bonnie) Lu

“…This study proposes a Road-Adaptive Vibration Reduction System (RAVRS) that can be deployed on an e-bike rider’s smartphone to automatically maintain riding comfort and safety using manual assistance control. …”
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Semi-automated layer-by-layer biofabrication using rotational internal flow layer engineering technology by Gwyneth West, Sneha Ravi, Jamie A Davies, Ian Holland

“…Here we describe improvement of the RIFLE system by automating elements of the process, in particular the liquid dispensing element, and present the use of this system for two commonly used biofabrication hydrogels; alginate and collagen. …”
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Location Coding of Tool-Object Pairs Based on Perceptual Grouping: Evidence from Object-Based Correspondence Effect by Usman Jawed Shaikh, Ferdinand Binkofski, Antonello Pellicano

“…Motor interactions with single, as well as pairs of objects can be automatically affected by visual asymmetries provided by protruding parts, whether the handle or not. …”
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MetaSeeker: sketching an open invisible space with self-play reinforcement learning by Bei Wu, Chao Qian, Zhedong Wang, Pujing Lin, Erping Li, Hongsheng Chen

“…Counterintuitively, here we for the first time present an open, cluttered, and dynamic but invisible space, wherein any freely-moving object maintains invisible. …”
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Antarctic iceberg freeboard retrieval via deep learning from optical satellite imagery by Zitong Zhou, Outong Li, Songtao Ai, Xinde Chu, Shoukat Ali Shah

“…Antarctic icebergs are critical components of the Antarctic ice sheet-ice shelf-ocean system and play a key role in understanding the impacts of climate change, particularly in estimating iceberg volume through the freeboard measurements. This study presents an innovative deep learning-based approach (U-Net) for automatically measuring iceberg freeboard from optical remote sensing data in the Antarctic coastal region, following data acquisition. …”
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An Automated Computational Fluid Dynamics Workflow for Simulating the Internal Flow of Race Car Radiators by Francesco Mangini, Matteo Vaccalluzzo, Eugenio Bardoscia, Andrea Bortoli, Alessandro Colombo

“…In this article, we present a software tool developed in Python, named T-WorkFlow. …”
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Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

“…In addition, we propose a method for automatically determining the optimal number of bands. …”
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Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks by Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Md. Nazmul Islam, Iqbal H. Sarker

“…Authorship classification is a method of automatically determining the appropriate author of an unknown linguistic text. …”
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Auto-resolving the atomic structure at van der Waals interfaces using a generative model by Wenqiang Huang, Yucheng Jin, Zhemin Li, Lin Yao, Yun Chen, Zheng Luo, Shen Zhou, Jinguo Lin, Feng Liu, Zhifeng Gao, Jun Cheng, Linfeng Zhang, Fangping Ouyang, Jin Zhang, Shanshan Wang

“…However, a rapid, accurate, and robust approach to automatically resolve complex patterns in atomic-resolution microscopy remains difficult to implement. …”
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Focal Mechanism and Moment Tensor Determination for Tsunami Early Warning Systems: A Literature Study (2018&#x2013;2024) by Titi Handayani, Wijayanto, Adhi Harmoko Saputro, Mohd Asyraf Zulkifley, Dede Djuhana

“…Therefore, this review aims to present a systematic overview of recent studies and trends related to both concepts. …”
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Research on Anisotropic Characteristics of Rock and Intelligent Recognition of Precursory Signal by Nan Li, Zhibo Zhang, Majid Khan, Shaohua Zhang, Xianan Liu, Shujie Li

“…On this basis, a method is proposed that ultrasonic waveform precursor characteristics are recognized automatically using the backpropagation (BP) neural network to monitor the damage state of the rock sample. …”
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Divertor tungsten source monitoring by A visible spectroscopy diagnostic on EAST by Fang Ding, Qing Zhang, Zhenhua Hu, Bingcheng Qi, Lingyi Meng, Rui Ding, Liang Wang, Chenyuan Zhang, Zhongshi Yang, Haishan Zhou, Youwen Sun, Guang-nan Luo, Jiansheng Hu

“…The paper presents a technical description of the diagnostic and typical measurements during EAST discharges.…”
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A semi‐automated observation approach to quantify mouse skeletal muscle differentiation using immunohistochemistry by Kenta Shimizu, Yamato Yoshida, Kenshin Iwasa, Yasuyuki Fujii, Ursula M. Jacob, Tilman Fritsch, Ali S. Abdelhameed, Vittorio Calabrese, Naomi Osakabe

“…However, quantifying data requires much effort, so automation is expected to reduce workload. The present study proposes a semi‐automated method to quantify expressed paired box protein (Pax‐7) /bromodeoxyuridine (BrdU)‐positive cells. …”
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What patients and caregivers want to know when consenting to the use of digital behavioral markers by Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

“…Abstract Artificial intelligence (AI)-based computational tools for deriving digital behavioral markers are increasingly able to automatically detect clinically relevant patterns in mood and behavior through algorithmic analysis of continuously and passively collected data. …”
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Developing a multiscale neural connectivity knowledgebase of the autonomic nervous system by Fahim T. Imam, Thomas H. Gillespie, Ilias Ziogas, Monique C. Surles-Zeigler, Susan Tappan, Burak I. Ozyurt, Jyl Boline, Bernard de Bono, Jeffrey S. Grethe, Maryann E. Martone

“…In this article, we present the design and functionality of SCKAN, including the detailed knowledge engineering process developed to populate the resource with high quality and accurate data. …”
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Radiation Tolerant 3D Laser Scanner for Structural Inspections in Nuclear Reactor Vessels and Fuel Storage Pools by Luigi De Dominicis, Mario Carta, Massimiliano Ciaffi, Luca Falconi, Mario Ferri de Collibus, Massimo Francucci, Massimiliano Guarneri, Marcello Nuvoli, Fabio Pollastrone

“…The system includes proprietary postprocessing software that automatically recognizes components of interest and provides dimensional analysis. …”
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Sleep Apnea Events Recognition Based on Polysomnographic Recordings: A Large-Scale Multi-Channel Machine Learning approach by Nicolo La Porta, Stefano Scafa, Michela Papandrea, Filippo Molinari, Alessandro Puiatti

“…<italic>Methods:</italic> The present work proposes a machine learning-based approach for automatically recognizing apneic events in subjects affected by sleep apnea-hypopnea syndrome. …”
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