Adaptive gate residual connection and multi-scale RCNN for fake news detection by QunHui Zhou, Tijian Cai

“…Detection of false news based on text classification technology has significant research significance and practical value in the current information age. …”
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A Detection Method for Conveyor Belt Damage with Small Size and Low Contrast by HAN Yajie, HAO Xiaoli, NIU Baoning, XUE Jindong

“…[Purposes] An improved YOLOv4 detection model is proposed to solve the problems of missing detection and false detection when the existing models detect objects with small size and low contrast with the background. …”
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A novel approach for detecting malicious hosts based on RE-GCN in intranet by Haochen Xu, Xiaoyu Geng, Junrong Liu, Zhigang Lu, Bo Jiang, Yuling Liu

“…For malicious host detection, this paper proposes the Relational-Edge Graph Convolutional Network (RE-GCN) model, which can directly aggregate and learn features on edges and use them to accurately classify nodes, compared to other GNN models. …”
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Tracing truth: dynamic temporal networks for multi-modal fake news detection by Jiaen Hu, Juan Zhang, Zichen Li

“…However, the proliferation of fake news has emerged as a critical problem, presenting major challenges to the integrity of the information ecosystem. …”
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UnidecNMR: automatic peak detection for NMR spectra in 1-4 dimensions by Charles Buchanan, Gogulan Karunanithy, Olga Tkachenko, Michael Barber, Michael T. Marty, Timothy J. Nott, Christina Redfield, Andrew J. Baldwin

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Transfer Learning and Semisupervised Adversarial Detection and Classification of COVID-19 in CT Images by Ariyo Oluwasanmi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen

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Enhanced Credit Card Fraud Detection Using Deep Hybrid CLST Model by Madiha Jabeen, Shabana Ramzan, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

“…In this research, a combined deep learning model that incorporates a convolutional neural network (CNN), long-short-term memory (LSTM), and fully connected output layer is proposed to enhance the accuracy of fraud detection, particularly in addressing the class imbalance problem. …”
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The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals by Lixin Yan, Ping Wan, Lingqiao Qin, Dunyao Zhu

“…This study focuses on the problem of inducing and detecting driving anger based on the simulation and on-road experiments. …”
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ASHM-YOLOv9: A Detection Model for Strawberry in Greenhouses at Multiple Stages by Yan Mo, Shaowei Bai, Wei Chen

“…The squeeze-and-excitation (SE) network was added to increase the network’s capacity for characteristic derivation and its ability to fuse features. Haar wavelet downsampling (HWD) was applied to optimize the Adaptive Downsampling module (Adown) of the initial model, thereby increasing the precision of object detection. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…The article describes the problem of detecting covid anomalies in rhythm strips. …”
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Temporal record linkage for heterogeneous big data records by Reham I. Abdel Monem, Ehab E. Hassanein, Ali Z. El Qutaany

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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…A neural network approach was used to filter the values obtained after a two-step algorithm. This problem arises in acoustics, electrodynamics, flaw detection, as well as in medical diagnostics. …”

MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba by Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue

“…However, multi-person pose estimation yields false detection or missed detection in dense crowds, and it is still difficult to detect small targets. …”
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The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection by Xiaohui Li, Pan Fu, Kan Chen, Zhibin Lin, Erqing Zhang

“…In the acoustic emission (AE) detection for mechanical seal, the main difficulty is to reduce the background noise and to classify the dispersed features. …”
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Single-Frame Infrared Target Detection Based on Fast Content-Related Modeling by Zipeng Zhang, Xidong Zhao, Wenzheng Wang, Yuqi Han, Chenwei Deng, Zhuokai Li, Linbo Tang

“…To solve these problems, a single-frame infrared target detection method based on fast content-related modeling is proposed to combine global and local features of infrared images, describing the common features of varying scenes robustly and enhancing the distinction between targets and backgrounds. …”
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MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Hung Pham, Huyen Ha, van Tong, Dung Hoang, Duc Tran, Tuyen Ngoc Le

“…In order to assess the proposed method, we introduce a new dataset comprising more than 45,000 code solutions generated by LLMs for programming problems. The solutions for these programming problems which were obtained from three advanced LLMs (GPT4, Gemini, and Code-bison-32k), were written in Python, Java, and C++. …”
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Adversarial Hierarchical-Aware Edge Attention Learning Method for Network Intrusion Detection by Hao Yan, Jianming Li, Lei Du, Binxing Fang, Yan Jia, Zhaoquan Gu

“…Existing graph-based approaches either underestimate edge-level features or fail to balance detection accuracy with adversarial robustness. …”
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Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace by Huy Nguyen Quoc, Vinh Truong Hoang

“…With these methods, plenty problems can be solve by the distinctiveness of ear features, such as recognizing human with mask or diagnose ear-related diseases. …”
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A DR Detection Method Incorporating Multi-scale Techniques and Parallel Networks by CHEN Yu, XU Shibao

“… A PM-Net model ( Parallel Multi-scale Network) has been constructed to solve the problems of loss of key information and poor model robustness in the downsampling process of diabetic retinopathy ( DR) detection models. …”
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An edge detection method of pantograph carbon slide based on an improved Canny algorithm by YANG Jun, GUO Youmin, WANG Jianxin, ZHAO Hongliang

“…Aiming at the problems of inaccurate extraction, discontinuity and being susceptible to noise when the edge of a carbon slide is detected by using a traditional edge detection algorithm, an edge detection method of pantograph carbon slide based on an improved Canny algorithm was proposed in the paper. …”
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