A Survey of Dense Object Detection Methods Based on Deep Learning by Yang Zhou, Hui Li

“…In recent years, thanks to the development and advancement of deep learning methods, object detection algorithms and frameworks have made significant breakthroughs, allowing many detection methods to be applied to real-world scenarios. …”
Get full text

Moving Vehicles Detection and Tracking on Highways and Transportation System for Smart Cities by Manoj Kumar, Susmita Ray, Dileep Kumar Yadav

“…Various machine learning and artificial intelligence based techniques are evolving with numerous advancement in this domain. These algorithms are efficient and very less time consuming. …”
Get full text

Enhancing cyber threat detection with an improved artificial neural network model by Toluwase Sunday Oyinloye, Micheal Olaolu Arowolo, Rajesh Prasad

“…Identifying cyberattacks that attempt to compromise digital systems is a critical function of intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and vulnerability to malicious data injections are only a few drawbacks of using machine learning algorithms for cybersecurity. …”
Get full text

Automatic Ladle Tracking with Object Detection and OCR in Steel Melting Shops by Kabil Murugan, Mahinas Senthilmurugan, Venbha V. Senthilkumar, Harshita Velusamy, Karthiga Sekar, Vasanthan Buvanesan, Manikandan Venugopal

“…This paper proposes two innovative solutions to address these problems: a computer-vision-based ladle tracking system and an integrated approach of preprocessing techniques with optical character recognition (OCR) algorithms. …”
Get full text

Digital visual media forensics by Chun-hui FENG, Zheng-quan XU, Xing-hui ZHENG, Li JIANG

“…The origin and concept of digital visual media forensics is introduced, representative double compression de-tection and forgery detection algorithms are introduced in detail afterwards. …”
Get full text

STUDY OF PREDICTION AND CLASSIFICATION MODELS IN THE PROBLEMS OF DIABETES AMONG PATIENTS WITH A STROKE IN DIFFERENT LIVING CONDITIONS by Nural Huliiev, Maksym Peretiaha, Artem Khovrat, Denys Teslenko, Alexei Nazarov

“…The article solves the problem of a multi-criteria task of choosing the best algorithm for predicting the occurrence of a disease. …”
Get full text

YOLOv3-A: a traffic sign detection network based on attention mechanism by Fan GUO, Yongxiang ZHANG, Jin TANG, Weiqing LI

“…To solve the problem that the existing YOLOv3 algorithm had more false detections and missed detections for traffic sign detection task with small target problems and complex background, based on the YOLOv3, a channel attention method for target detection and a spatial attention method based on semantic segmentation guidance were proposed to form the YOLOv3-A (attention) algorithm.The detection features in the channel and spatial dimensions were recalibrated, allowing the network to focus and enhance the effective features, and suppress interference features, which greatly improved the detection performance.Experiments on the TT100K traffic sign data set show that the algorithm improves the detection performance of small targets, and the accuracy and recall rate of the YOLOv3 are improved by 1.9% and 2.8% respectively.…”
Get full text

MAT-PointPillars: Enhanced PointPillars algorithm based on multi-scale attention mechanisms and transformer. by Xinpeng Yao, Peiyuan Liu, Jingmei Zhou, Zijian Wang, Songhua Fan, Yuchen Wang

“…Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”
Get full text

Plant Disease Detection and Classification Using Deep Learning Methods: A Comparison Study by Pei-Wern Chin, Kok-Why Ng, Naveen Palanichamy

“…Hence, challenges in choosing a suitable deep-learning technique to tackle the problem should be addressed. Plant diseases have a detrimental effect on agricultural yield, hence early detection is crucial to prevent food insecurity. …”
Get full text

Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation by Solomentsev Oleksandr, Zaliskyi Maksym, Herasymenko Tetyana, Petrova Yuliia

“…The detection algorithm is constructed based on Neyman–Pearson criterion with sample size accumulation. …”
Get full text

Multi-target personnel tracking algorithm for coal mine based on improved YOLOv7 and ByteTrack by Pengcheng QU, Jingzhao LI, Zechao LIU

“…In order to solve the problems of low accuracy and poor real-time performance of existing target tracking algorithms in the complex environment of coal mines, a YOLO-FasterNet+ByteTrack coal mine personnel tracking algorithm was proposed based on the Tracking by Detection (TBD) paradigm. …”
Get full text

A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity by Wenda Yang, Minggong Wu, Xiangxi Wen, Kexin Bi

“…Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. …”
Get full text

Research on Sleeper Detection Scheme Based on Image and Laser Multi-data Fusion by LIU Yuanming, ZHANG Lei

“…In this paper, aiming at the problem of automatic detection and identification of track sleepers for a large-scale tamping machine, an automatic detection algorithm for track sleepers based on multi-dimensional sensor data fusion algorithm is proposed. …”
Get full text

Traffic Sign Detection via Improved Sparse R-CNN for Autonomous Vehicles by Tianjiao Liang, Hong Bao, Weiguo Pan, Feng Pan

“…There is still a mismatch problem between the existing detection algorithm and its practical application in real traffic scenes, which is mainly due to the detection accuracy and data acquisition. …”
Get full text

Distributed partition detection and recovery using UAV in wireless sensor and actor networks by Aditi Zear, VIRENDER RANGA

“…In this paper, we target the network partition problem and propose a Partition Detection and Recovery using Unmanned Aerial Vehicle algorithm (DPDRU) to recover the partitioned network. …”
Get full text

Fault Detection of the Power System Based on the Chaotic Neural Network and Wavelet Transform by Zuoxun Wang, Liqiang Xu

“…The safety and stability of the power supply system are affected by some faults that often occur in power system. To solve this problem, a criterion algorithm based on the chaotic neural network (CNN) and a fault detection algorithm based on discrete wavelet transform (DWT) are proposed in this paper. …”
Get full text

Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process by Shen Yin, Xin Gao, Hamid Reza Karimi, Xiangping Zhu

“…In addition, with forehand optimizing the parameters using the cross-validation technique, SVM can produce high accuracy in fault detection. Therefore, there is no need to deal with original data or refer to other algorithms, making the classification problem simple to handle. …”
Get full text

A Novel Behavior-Based Virus Detection Method for Smart Mobile Terminals by Yanbing Liu, Shousheng Jia, Congcong Xing

“…While there are extensive researches on virus detections for smart mobile terminals, most of them share the same framework of virus detection as that for personal computers, and few of them tackle the problem from the standpoint of detection methodology. …”
Get full text

Multi-Objective Task Scheduling for Earth Observation InSAR Satellites via Non-Dominated Sorting Student Psychology Based Optimization Algorithm by Qingxian Jia, Weicheng Lian, Dan Yua, Qi Sun

“…To address the mission allocation issue between the chief satellite and deputy satellites, a mission conflict detection and resolution mechanism is developed. Moreover, based on the single-objective student psychology-based optimization (SPBO) algorithm, a modified non-dominated sorting SPBO (NSSPBO) algorithm is proposed to tackle the multi-objective task scheduling problem for the InSAR satellite system. …”
Get full text

Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…In order to solve the problems of high energy consumption and high reliance on manual annotation data of traditional intelligent attack detection methods in UAV networks, a lightweight UAV network online anomaly detection model based on a double-layer memory-enhanced autoencoder integrated architecture was proposed. …”
Get full text