Online Asynchronous Learning over Streaming Nominal Data by Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

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Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine by Natasya Eldha Oktaviana, Yuita Arum Sari, Indriati Indriati

“…The use of Lexicon Based Features affects the object of research which produces an accuracy value of 0.6, a precision value of 0.56, a recall value of 0.75, and a size of 0.64 with the optimal parameter in achieving convergence, namely (Lambda) = 0.7, the parameter value (gamma) = 0.0001, the parameter value (Complexity) = 0.0001, iterations = 50, and (Epsilon) = 0.00000001. …”
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ConvGRU: A Lightweight Intrusion Detection System for Vehicle Networks Based on Shallow CNN and GRU by Shaoqiang Wang, Jiahui Cheng, Yizhe Wang, Shutong Li, Lei Kang, Yinfei Dai

“…By employing optimizations such as small convolutional kernels and depthwise separable convolutions, the model significantly reduces the number of parameters and computational overhead, making it well-suited for resource-limited IoV environments. …”
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Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems by C. Swetha Priya, F. Sagayaraj Francis

“…Our proposed methodology balances the trade-offs between prediction accuracy, model size, and computational efficiency by identifying an optimal set of relevant features and hyperparameters. …”
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Remote sensing image fusion based on real time image smoothing and image similarity by Yanfang Hou, Kaixuan Guo, Xueyan Bi

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A Method of Word Sense Disambiguation with Restricted Boltzmann Machine by ZHANG Chun-xiang, LI Hai-rui, GAO Xue-yao

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Updating parameters of an information model for road construction flow in work development project by T. V. Bobrova

“…At the stage of the project for the production of works (PPW), it is necessary to take into account the technical and technological features of the contractor in the calendar plan. At the PPW level, it is necessary to create a new structure and define the parameters of this structure in such a way as to satisfy the specified restrictions established by the COP in terms of time and costs,  and also provide for certain reserves for insuring possible risks.  …”
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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

“…This module enhances the feature interaction between the classification and regression tasks through the task alignment mechanism and shared convolution, which reduces model parameters and computation and improves model performance. …”
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Antarctic Sea Ice Extraction for Remote Sensing Images via Modified U-Net Based on Feature Enhancement Driven by Graph Convolution Network by Wu Feng, Xiulin Geng, Xiaoyu He, Miao Hu, Jie Luo, Meihua Bi

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MFFCI–YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information by Sheng Xu, Lin Song, Junru Yin, Qiqiang Chen, Tianming Zhan, Wei Huang

“…First, we introduce the lightweight CSP bottleneck with attention module, which utilizes partial convolution calculation and SimAM attention mechanisms to decrease the number of parameters and computational complexity while enhancing feature extraction capabilities. …”
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Radiomics model based on dual-energy CT venous phase parameters to predict Ki-67 levels in gastrointestinal stromal tumors by Wen-hua Liu, Wen-hua Liu, Min Li, Guo-qiang Ren, Zhi-yang Tang, Xiu-hong Shan, Ben-qiang Yang

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Analysis of combined pressure-driven and electroosmotic hydrothermal features of non-Newtonian nanofluid in variable cross-section microchannel with slip-dependent zeta potential by Debanjan Banerjee, Sukumar Pati, Pankaj Biswas, László Baranyi

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Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack by Zhengquan Luo, Yunlong Wang, Nianfeng Liu, Zilei Wang

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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…Secondly, the weighted multiscale feature fusion module (Weighted multiscale feature fusion moule) introduces learnable weights to give different attention to the feature layer. …”
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Semantics-Assisted Training Graph Convolution Network for Skeleton-Based Action Recognition by Huangshui Hu, Yu Cao, Yue Fang, Zhiqiang Meng

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Improved Road Extraction Models through Semi-Supervised Learning with ACCT by Hao Yu, Shihong Du, Zhenshan Tan, Xiuyuan Zhang, Zhijiang Li

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UAV-DETR: An Enhanced RT-DETR Architecture for Efficient Small Object Detection in UAV Imagery by Yu Zhou, Yan Wei

“…The performance is thoroughly evaluated in terms of mAP@0.5, parameter count, and computational complexity (GFLOPs). …”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…The modules have been designed to optimise feature extraction and improve model efficiency. The paper also discusses the challenges associated with low accuracy in small target detection and high model complexity in UAV applications. …”
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Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…On the VisDrone2019 dataset, the mAP0.5 of the enhanced model demonstrates a 3.5% improvement, accompanied by a 6.1% and 2.9% reduction in parameters and computations, respectively. The efficacy of these enhancements is substantiated by the model’s superior performance in comparison to other target detection models at equivalent levels.…”
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A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study by Lingfeng Zhang, Gang Xie, Yue Zhang, Yue Zhang, Junlin Li, Junlin Li, Wuli Tang, Wuli Tang, Ling Yang, Ling Yang, Kang Li

“…The radiomics features linked to MCE were pinpointed through a consistency test, Student’s t test and the least absolute shrinkage and selection operator (LASSO) method for selecting features. …”
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