Three-dimensional Underwater Dynamic Target Tracking Based on Adaptive Interactive Multi-model Algorithm by QIN Hongmao, YE Hongwei, CUI Qingjia, XU Biao, HU Manjiang

“…Dynamic target tracking is a crucial technique for autonomous underwater vehicles (AUV), enabling key operations such as target detection and reconnaissance. Standard approaches for tracking maneuvering targets often involve the interacting multiple model (IMM) algorithm which integrates the constant velocity (CV) model and the coordinated turn (CT) model. …”
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Enhancing Speed of Distance Protection for Internal Faults in the Second Zone through an Innovative Protection Algorithm by Sabah Daniar, Mojtaba Shiroei, Amirhossein Khosravi Sarvenoee

“…This is achieved by detecting the remote circuit breaker operation (RCBO). …”
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Mathematical Background and Algorithms of a Collection of Android Apps for a Google Play Store Page by Roland Szabo

“…The third application redefines flashlight functionality using an optimized touch interface algorithm. By employing a screen-wide double-tap gesture recognition system, this approach removes the reliance on a physical button, depending instead on advanced event detection and hardware control logic to activate the device’s flash. …”
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Foreign Object Detection on Insulators Based on Improved YOLO v3 by Huankun ZHANG, Junyi LI, Bin ZHANG

“…The experiment shows that the proposed algorithm has a detection precision rate reaching up to 94.54%. …”
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GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis by Jinxing Li, Qi Wang, Meng Wang, Youcheng Wang, Min Zhang

“…Furthermore, we introduce an Unscented Particle Filter (UPF) algorithm for dynamic target tracking and state estimation. …”
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An Enhanced Deep Learning Model for Effective Crop Pest and Disease Detection by Yongqi Yuan, Jinhua Sun, Qian Zhang

“…These findings demonstrate that the proposed ESA-ResNet34 model significantly enhances crop pest and disease detection.…”
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Advanced intrusion detection in internet of things using graph attention networks by Aamir S. Ahanger, Sajad M. Khan, Faheem Masoodi, Ayodeji Olalekan Salau

“…In this paper, we present a novel perspective to IoT security by using a Graph-based (GB) algorithm to construct a graph that is evaluated with a graph-based learning Intrusion Detection System (IDS) incorporating a Graph Attention Network (GAT). …”
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Curb Detection and Mapping via Robust Iterative Gaussian Process Regression by Di Wang, Si Chen, Zhenni Ma, Jiajia Shi, Fuchun Zhang

“…In this paper, an efficient curb detection and mapping algorithm is proposed to achieve an accurate representation of curb shape. …”
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Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview by Peyman Vafadoost Sabzevar, Hamidreza Rokhsati, Alireza Chamansara, Ahmad Hajipour

“…The purpose of anomaly detection is to develop methods that can detect attackers' attacks and prevent them from happening again. …”
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A Hybrid Mechanism to Detect DDoS Attacks in Software Defined Networks by ÙAfsaneh Banitalebi Dehkordi, MohammadReza Soltanaghaei, Farsad Zamani Boroujeni

“…Given the importance of this issue,the purpose of this paper is to increase the accuracy of DDoS attack detection using the second order correlation coefficient technique based on â…-entropy according to source IP and selection of optimal features.To select the best features, by examining the types of feature selection algorithms and search methods, the WrapperSubsetEval feature selection algorithm, the BestFirst search method, and the best effective features were selected. …”
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Hybrid adaptive method for lane detection of degraded road surface condition by Khaled H. Almotairi

“…Lane detection on roads is essential for autonomous vehicles. …”
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Fresh Tea Sprouts Detection via Image Enhancement and Fusion SSD by Bin Chen, Jili Yan, Ke Wang

“…In order to improve the detection performance, we rethink the process of FTSD. …”
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Target Detection Using Nonsingular Approximations for a Singular Covariance Matrix by Nir Gorelik, Dan Blumberg, Stanley R. Rotman, Dirk Borghys

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Detecting Anomalies in Sequences of Short Text Using Iterative Language Models by Cynthia Freeman, Ian Beaver, Abdullah Mueen

“…Unfortunately, anomaly detection is a challenging problem because of the subjective nature of what is defined as anomalous. …”
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Safe and Robust Binary Classification and Fault Detection Using Reinforcement Learning by Josh Netter, Kyriakos G. Vamvoudakis, Timothy F. Walsh, Jaideep Ray

“…In this paper, we propose a learning-based method utilizing the Soft Actor-Critic (SAC) algorithm to train a binary Support Vector Machine (SVM) classifier. …”
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Detection of capsaicin content by near-infrared spectroscopy combined with optimal wavelengths by LÜ Xiaohan, JIANG Jinlin, YANG Jing, CHEN Jianying, CEN Haiyan, FU Hongfei, ZHOU Yifei

“…Three different variable selection methods with successive projection algorithm (SPA), competitive adaptive reweighted sampling (CARS) and uninformation variable elimination (UVE) were performed to select the optimal wavelengths. …”
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A Simple Highlight Detection and Ｒecovery Methods for Single Grayscale Image by YIN Fang, CHEN Tian-tian, FU Zi-ru, YU Xiao-yang

“…Experimental results show that specular detection algorithm can better deal with the details of specular areas，find specular reflection area effectively in the single grayscale image and improve the repair rate specular areas of the image.…”
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Comparing Classification Algorithms to Recognize Selected Gestures Based on Microsoft Azure Kinect Joint Data by Marc Funken, Thomas Hanne

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Fuzzy control algorithm of cleaning parameters of street sweeper based on road garbage volume grading by Haiying Wang, Chenguang Wang, Yang Ao, Xiaofeng Zhang

“…The study proposes a fuzzy control algorithm for adjusting the cleaning parameters of street sweepers based on road garbage volume grading. …”
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Camouflage Target Detection Method with Mutual Compensation of Local-Global Features by HE Wenhao, GE Haibo

“…In the field of camouflage object detection (COD), the latest proposed methods mainly use the local features of the camouflaged target to complete the COD task. …”
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