SCR-Net: A novel lightweight aquatic biological detection network. by Tao Li, Yijin Gang, Sumin Li, Yizi Shang

“…To address this problem, this research proposes a novel fast and efficient lightweight target detection network (SCR-Net). …”
Get full text

Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

“…To address the problems of big data efficient analysis and insider theft detection in the data theft detection of distributed cloud computing storage,taking HDFS (hadoop distributed file system) as a case study,a stochastic algorithm for HDFS data theft detection based on MapReduce was proposed.By analyzing the MAC timestamp features of HDFS generated by folder replication,the replication behavior’s detection and measurement method was established to detect all data theft modes including insider theft.The data set which is suitable for MapReduce task partition and maintains the HDFS hierarchy was designed to achieve efficient analysis of large-volume timestamps.The experimental results show that the missed rate and the number of mislabeled folders could be kept at a low level by adopting segment detection strategy.The algorithm was proved to be efficient and had good scalability under the MapReduce framework.…”
Get full text

A Cloud User Anomaly Detection Method Based on Mouse Behavior by XU Hong-jun, ZHANG Hong, HE Wei

“… Aiming at the problem of cloud security threat caused by illegal operation of cloud users, this paper proposes a method to detect the abnormal behavior of cloud users by analyzing the mouse operation behavior in user’s work by using deep learning technology under the premise of ensuring the privacy of cloud users. …”
Get full text

Multiple Moving Targets Detection and Parameters Estimation in Strong Reverberation Environments by Ge Yu, Shengchun Piao

“…This paper considers the problem of multiple moving targets detection and parameters estimation (direction of arrival and range) in strong reverberation environments. …”
Get full text

Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Moreover, it addresses the black box problem since the predictions are described to the end users thanks to the combination of LLMS with interpretable ML models (i.e. tree-based algorithms) using feature importance and natural language. …”
Get full text

Foreign object detection on coal conveyor belt enhanced by attention mechanism by ZHANG Yang, CHENG Zhiyu, CHEN Yunjiang, ZHANG Jiannan, YUAN Wensheng, ZHANG Hui

“…In order to solve this problem, the network structure of the original YOLOv8 algorithm was optimized and a YOLOv8-CPCA detection method was proposed. …”
Get full text

A Survey of Abnormal Traffic Information Detection and Transmission Mechanisms in VSNs by Lingjuan Zhang, Deyun Gao, Chuan Heng Foh, Dong Yang, Shuai Gao

“…Finally, the challenges and problems are discussed.…”
Get full text

Through-Wall Detection with LS-SVM under Unknown Wall Characteristics by Fangfang Wang, Yerong Zhang, Huamei Zhang

“…In this paper, a two-step procedure for the through-wall detection is proposed. Firstly, an effective clutter mitigation method based on singular value decomposition (SVD) is used. …”
Get full text

A hybrid approach of vision transformers and CNNs for detection of ulcerative colitis by Syed Abdullah Shah, Imran Taj, Syed Muhammad Usman, Syed Nehal Hassan Shah, Ali Shariq Imran, Shehzad Khalid

“…Researchers have proposed variety of machine/deep learning methods for automated detection of ulcerative colitis, however, several challenges exists including class imbalance problem, comprehensive feature extraction and accurate classification. …”
Get full text

Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation by Burcak Asal, Ahmet Burak Can

“…We adapted our knowledge distillation methods to two state-of-the-art models designed for anomaly detection task. Our extensive experiments on two public datasets show that not only our best version model achieves robust performance with a frame-level AUC of 80.22 on UCF-Crime and video-level AUC of 78.20 on RWF-2000 datasets but also the proposed distillation methods improve the performance while reducing catastrophic forgetting problem.…”
Get full text

A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization by Zeinab Hassani, vahid Hajihashemi, Keivan Borna, Iman Sahraei Dehmajnoonie

“…Spam leads to a growing problem in a personal email, so it would be essential to detect it. …”
Get full text

On Some Issues of Handprints Detection and the Mechanism of Trace Formation on Porous Surfaces by V. A. Vasil’ev, T. A. Ermakova, Yu. A. Druzhinin, I. B. Afanas’ev, T. Yu. Yudina, E. Yu. Rusanov

“…Problems of detecting sweat and grease deposits on porous surfaces are common for forensic practice, and usually, they are successfully resolved with the help of chemical methods. …”
Get full text

Early surface crack detection and localization in structures: an artificial intelligence approach by Biswarup Yogi, Sourav Kumar Das, Soham Modak, Aritra Biswas, Satyabrata Roy

“…Traditional inspection methods are slow, risky and require a lot of manual effort. These problems are worse for tall or sloped roofs. This paper presents an automatic method for detecting and locating roof cracks. …”
Get full text

CGTS: graph transformer-based anomaly detection in controller area networks by Xue Zhou, Guihe Qin, Yanhua Liang, Jiaru Song, Wanning Liu, Qingxin Liu

“…While existing anomaly detection strategies offer some benefits, they often face challenges such as limited feature extraction and data imbalance, which reduce their effectiveness. …”
Get full text

An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars by Pengyu Ren, Xuyun Qiu, Qi Gao, Yumin Song

“…Aiming to improve upon existing object detection algorithms, which have the problem of low object recognition accuracy in orchard operation scenes, we propose an orchard vehicle object detection algorithm based on Attention-Guided Orchard PointPillars (AGO-PointPillars). …”
Get full text

Hyperspectral Anomaly Detection Based on Intrinsic Image Decomposition and Background Subtraction by Jiao Jiao, Longlong Xiao, Chonglei Wang

“…In the anomaly detection of hyperspectral images, the salient feature map and spatial-spectral features are not effectively used, which greatly limits the detection performance. …”
Get full text

Longitudinal tear detection system for belt conveyor based on deep learning by Zhiqiang YU, Xiangsheng PAN, Wei JIANG

“…In response to the common problems faced by belt conveyors in the field of longitudinal tear detection, such as high missed detection rate, frequent false alarms, and insufficient intelligence level, we develop an intelligent detection system for longitudinal tearing of strip surfaces that integrates machine vision and line laser technology. …”
Get full text

Low-Illumination Parking Scenario Detection Based on Image Adaptive Enhancement by Xixi Xu, Meiqi Zhang, Hao Tang, Weiye Xu, Bowen Sun, Zhu’an Zheng

“…The parking space and obstacle detection module adopts parking space corner detection based on image gradient matching, as well as obstacle detection utilizing yolov5s, whose feature pyramid network structure is optimized. …”
Get full text

Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…This work presents a new method for sleeper crack identification based on cascade convolutional neural network (CNN) to address the problem of low efficiency and poor accuracy in the traditional detection method of sleeper crack identification. …”
Get full text

Adaptive Circular Receptive Field for Remote Sensing Image Target Detection by Ning Wen, Yun Ge, Xiaoyu Yang, Meigen Yu, Ting Wang

“…However, general methods are prone to incorporating background information and have problems with rotation angles when detecting circular and square-like targets. …”
Get full text