Tier-based strict locality and the typology of agreement by Kenneth Hanson

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Predicting object size from hand kinematics: a temporal perspective. by Caterina Ansuini, Andrea Cavallo, Atesh Koul, Marco Jacono, Yuan Yang, Cristina Becchio

“…Interestingly, some kinematics features exhibited a higher ability to discriminate the target size than others did. …”
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Evaluation of the precision and accuracy in the classification of breast histopathology images using the MobileNetV3 model by Kenneth DeVoe, Gary Takahashi, Ebrahim Tarshizi, Allan Sacker

“…In comparison with previous efforts, using older and larger convolutional network architectures with feature extraction pre-processing, our work highlights that modern, resource-efficient architectures can classify histopathological images with accuracy that at least matches that of previous efforts, without the need for labor-intensive feature extraction protocols. …”
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REDalign: accurate RNA structural alignment using residual encoder-decoder network by Chun-Chi Chen, Yi-Ming Chan, Hyundoo Jeong

“…In this learning model, the encoder network leverages a hierarchical pyramid to assimilate high-level structural features. Concurrently, the decoder network, enhanced with residual skip connections, integrates multi-level encoded features to learn detailed feature hierarchies with fewer parameter sets. …”
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Uncertainty analysis in the design of Type-IV composite pressure vessels for hydrogen storage by Yao Koutsawa, Lyazid Bouhala

“…The development and analysis of the tank model used conventional shell elements, starting from the liner’s inner dimensions and incorporating filament winding via the Abaqus Composite Layup feature. Critical design aspects, such as ply thickness, material properties and fiber orientation, were employed. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…But the specifics of the tasks of systems for detecting malicious software and computer attacks require such an organization of systems that it is difficult for attackers to understand their behavior. …”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

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CSCA-YOLOv8: A lightweight network model for evaluating drought resistance in mung bean. by Dongshan Jiang, Jinyang Liu, Haomiao Zhang, Wenxiang Liang, Ziqiu Luo, Wenlong An, Shicong Li, Xin Chen, Xingxing Yuan, Shangbing Gao

“…The final experimental results show that compared with the YOLOv8s baseline model, the number of parameters of our proposed algorithm is reduced by 24%, the floating point number is reduced by 35%, and the accuracy is improved by 2.52%, which supports the deployment on embedded edge devices with limited computing power. …”
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A 2D linear canonical transform partition algorithm(二维线性正则变换剖分算法) by 赵伟康(ZHAO Weikang), 侯建伟(HOU Jianwei), 刘晴晴(LIU Qingqing)

“…It selects appropriate expression to approximate regional image pixels by utilizing the flexibility of multi-parameter linear canonical transform. The partition rectangle number in each 16×16 grid forms the feature matrix which is then combined with Arnold transform to establish a lightweight image protection method that can resist different forms of attacks. …”
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Construction of an LNG Carrier Port State Control Inspection Knowledge Graph by a Dynamic Knowledge Distillation Method by Langxiong Gan, Qihao Yang, Yi Xu, Qiongyao Mao, Chengyong Liu

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ELNet: An Efficient and Lightweight Network for Small Object Detection in UAV Imagery by Hui Li, Jianbo Ma, Jianlin Zhang

“…Finally, to improve detection in UAV imagery with dense, small, and scale-varying objects, we propose DIMB-C3k2, an enhanced module built upon C3k2, which boosts feature extraction under complex conditions. Compared with YOLOv12n, ELNet achieves an 88.5% reduction in parameter count and a 52.3% decrease in FLOPs, while increasing mAP₅₀ by 1.2% on the VisDrone dataset and 0.8% on the HIT-UAV dataset, reaching 94.7% mAP₅₀ on HIT-UAV. …”
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A generalizable model for the facial recognition of sika deer with enhanced cross-domain performance by Ye Mu, Jinghuan Hu, Zhipeng Li, Heyang Wang, He Gong, Yu Sun, Tianli Hu

“…A dual-channel architecture is implemented, integrating Vision Transformer (ViT) and Convolutional Neural Networks (CNNs) to synergize local feature extraction with global contextual modeling, thereby mitigating CNN’s limited receptive fields and ViT’s computational complexity. …”
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Efficient compression of encoder-decoder models for semantic segmentation using the separation index by Movahed Jamshidi, Ahmad Kalhor, Abdol-Hossein Vahabie

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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…Firstly, the data collected in this study come from high-precision sensors and computer simulation, involving key biomechanical parameters in sprint, such as step frequency, stride length and acceleration. …”
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Digital Twin-Supported Battery State Estimation Based on TCN-LSTM Neural Networks and Transfer Learning by Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu

“…In this study, we propose a DT-supported battery state estimation method, in collaboration with the temporal convolutional network (TCN) and the long short-term memory (LSTM), to address the challenge of feature extraction. Firstly, we introduce a 4-layer hierarchical DT to overcome computational and data storage limitations in conventional battery management systems. …”
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Automated mechanical ventilator design and analysis using neural network by S. Hariharan, Hemalatha Karnan, D. Uma Maheswari

“…The handling of mechanical ventilators is to be done under the assistance of trained professionals and demands the selection of ideal parameters. In this work, a computer-aided simulation of ventilator design is performed for clinical complications like pneumonia and Chronic Obstructive Pulmonary Disease (COPD) and is validated against normal ventilatory parameters. …”
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DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

“…The ERB(Efficient Residual Bottleneck) and DCE(Divided Context Extraction) modules are incorporated into the Backbone, with the ERB module reducing the number of parameters to render the model more lightweight. The DCE module focuses on extracting features pertinent to small objects. …”
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A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves by Akshay Prakash Kalgutkar, Shirsendu Sikdar, Sauvik Banerjee, Karl Walton, Rakesh Mishra

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TTPRNet: A Real-Time and Precise Tea Tree Pest Recognition Model in Complex Tea Garden Environments by Yane Li, Ting Chen, Fang Xia, Hailin Feng, Yaoping Ruan, Xiang Weng, Xiaoxing Weng

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D-YOLO: A Lightweight Model for Strawberry Health Detection by Enhui Wu, Ruijun Ma, Daming Dong, Xiande Zhao

“…Key innovations include (1) replacing the original backbone with MobileNetv3 to optimize computational efficiency; (2) implementing a Bidirectional Feature Pyramid Network for enhanced multi-scale feature fusion; (3) integrating Contextual Transformer attention modules in the neck network to improve lesion localization; and (4) adopting weighted intersection over union loss to address class imbalance. …”
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