Lightweight Human Behavior Recognition Method for Visual Communication AGV Based on CNN-LSTM by Shuhua Zhao, Jianxin Zhu, Jiang Lu, Zhibo Ju, Dong Wu

“…Behavior recognition uses deep learning network model to automatically extract the deep features of data, but traditional machine learning algorithms have some problems such as manual feature extraction and poor generalization ability of models. …”
Get full text

Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson’s Disease by Harikumar Pallathadka, S.J.R.K. Padminivalli V., M. Vasavi, P. Nancy, Mohd Naved, Harish Kumar, Samrat Ray

“… Parkinson’s disease is associated with memory loss, anxiety, and depression in the brain. Problems such as poor balance and difficulty during walking can be observed in addition to symptoms of impaired posture and rigidity. …”
Get full text

LDMP-RENet: Reducing intra-class differences for metal surface defect few-shot semantic segmentation. by Jiyan Zhang, Hanze Ding, Zhangkai Wu, Ming Peng, Yanfang Liu

“…Given the contribution of relational structure of graph space-embedded local features to the Semantic Difference obviation, a multi-prototype reasoning module is utilized to extract local descriptors-based prototypes and to assess relevance between local-view features in support-query set pairs. …”
Get full text

STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…It is shown that the use of the proposed navigation system as a navigation aid for problem solving of highly accurate aircraft position indication satisfies the requirements for navigation and timing data accuracy. …”
Get full text

Generation of a Social Network Graph by Using Apache Spark by Y. A. Belov, S. I. Vovchok

“…This algorithm also considers the problems that are present in similar works of other authors, for example, the multiple edges problem in the generation process. …”
Get full text

Research on morphological knowledge-guided low-resource agglutinative languages-Chinese translation by Gulinigeer Abudouwaili, Sirajahmat Ruzmamat, Kahaerjiang Abiderexiti, Tuergen Yibulayin, Nian Yi, Aishan Wumaier

“…Abstract Data sparsity and out-of-vocabulary are the main challenges in low-resource machine translation, and the impact of such problems in translation can be reduced through word segmentation. …”
Get full text

Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation by WANG Yonggui, YU Qi

“…Firstly, graph isomorphic network is used to aggregate feature vectors of adjacent items, which can effectively fuse global and local information, solving the problem that graph neural network is good at capturing local connections between nodes and ignoring global information. …”
Get full text

Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection by Jianyin Tang, Zhenglin Yu, ChangShun Shao

“…In addition, during the feature fusion stage, the Hybrid Attention Transformer (HAT) module is integrated into TopDownLayer2 to enhance the capture of long-term dependencies and the recovery of detailed information in the input data. …”
Get full text

Recognizing Digital Ink Chinese Characters Written by International Students Using a Residual Network with 1-Dimensional Dilated Convolution by Huafen Xu, Xiwen Zhang

“…Due to the complex nature of Chinese characters, junior international students often encounter writing problems related to strokes, components, and their combinations when writing Chinese characters. …”
Get full text

Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…As the key performance of visual tracking, it still has the problems of low tracking accuracy and poor real-time performance. …”
Get full text

Multi-label Text Classification by Fusing Pseudo-label Generation and Data Augmentation by WANG Shuitao, ZHANG Sijia, SUN Xufei, YANG Jingjie, BI Tiantian, ZHANG Zhenglong

“…The algorithm uses capsule neural network to extract spatial semantic features between tokens, and uses multi-layer cascaded BiLSTM to perform multi-level feature extraction from input text. …”
Get full text

To the question of the thermal conductivity of metallic nanothreads and nanofilms by V.M. Yurov, G.A. Ranova, S.A. Guchenko, V.Ch. Laurynas

“…Studies show that there are significant differences in the nature of heat transfer within macroscopic bodies and in nanostructures. Another feature of this problem is the large variety of objects that require the development of special theoretical and experimental research methods. …”
Get full text

Analytical quality control of wines and wine materials by N. T. Siyukhova, Z. T. Tazova, L. V. Lunina, Z. N. Blyagoz

“…Ensuring food safety of the quality of sold products is one of the urgent problems of the wine industry. The trend of falsification of well-known brands of domestic and imported wines is a characteristic feature of the modern market of wine products. …”
Get full text

Machine Learning for Dynamic Pressure Coefficient Prediction in Vertical Water Jets by Amin Salemnia, Seyedehmaryam Hosseini Boldaji, Vida Atashi, Manoochehr Fathi-Moghadam

“…Residual analysis validated its better performance, demonstrating that it delivered the most accurate predictions with minimal bias. Feature importance analysis revealed the Froude number was the most significant predictor, followed by slope and diameter. …”
Get full text

多尺度主元坐标变换在轴承故障声发射信号增强检测中的应用 by 张晓涛, 唐力伟, 王平, 邓士杰

“…Aiming at the problem of weak feature extraction and recognition in the bearing acoustic emission signal processing,multi-scale principal component coordinate transformation is proposed to enhance fault feature.Firstly,the signal is decomposed by wavelet package,and the sub-band reconstruction component is converted to a new linear space by principal component analysis,and the signal fault feature is enhanced.Finally,the method performance is verified by simulation signal and testing signal,the results show that multi-scale principal component coordinate transformation has obvious enhancement effect in bearing fault detection.…”
Get full text

Seleksi Fitur dengan Particle Swarm Optimization pada Klasifikasi Penyakit Parkinson Menggunakan XGBoost by Deni Kurnia, Muhammad Itqan Mazdadi, Dwi Kartini, Radityo Adi Nugroho, Friska Abadi

“…The model with feature selection gets an AUC value of 0.9483, while the model without feature selection only gets an AUC value of 0.9366. …”
Get full text

Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…First, the GAM global attention mechanism is embedded in the backbone network of YOLOv8 to improve the sensitivity of the backbone network to the important feature information and reduce the attention to the irrelevant features, and it is determined that the GAM global attention mechanism will be embedded in the backbone network of YOLOv8 after comparing and analyzing the GAM with the attention mechanisms of CBAM, SE, and ECA; second, at the neck layer, the original PAN-FPN network structure is replaced with the BiFPN structure at the neck layer to realize bidirectional cross-scale connectivity and weighted feature fusion. …”
Get full text

Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

“…This model enhances the feature extraction step by capturing both global and local features, thanks to the combination of different deep learning models with the ViT model. …”
Get full text

Peculiarities of qualification of crimes in the field of computer information and counteraction to them by I. A. Efremova

“…The classification of this feature as qualifying is based on the degree of public danger of the crime. …”
Get full text

A Tank Experiment of the Autonomous Detection of Seabed-Contacting Segments for Submarine Pipelaying Operations by Bo Wang, Jie Wang, Chen Zheng, Ye Li, Jian Cao, Yueming Li

“…The prefusion module pre-fuses the three layers of feature maps from different stages in the backbone, and the delicate features of the shallow feature maps are fused with the deeper feature maps to generate richer feature maps with space location and semantic classification information. …”
Get full text