A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

“…The coefficients of the pair of dual filters are calculated for image edge detection. We propose a new LOSW-based edge detection algorithm (LOSW-ED), which introduces a structural uncertainty–aware modulus maxima (SUAMM) to detect highly uncertain edge samples, ensuring robustness in complex and noisy environments. …”
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Entropy Detection Technique in Frequency Domain for Soil Cavity and Water Content by LI Hao, YU Hong, ZHANG Zhiqiang, ZHANG Guifeng, XU Dingjie

“…However , the traditional GPR technology is vulnerable to clutter, resulting in low positioning accuracy. To solve this problem, a clutter suppression algorithm based on frequency domain entropy detection is proposed. …”
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Application-oriented Farsi license plate recognition using deterministic clustering algorithm and MSER detector by Mohammad Mehdi Zeinali, Sedigheh Ghofrani

“…In fact, after discarding some regions with low probability in terms of being license plate, the edge points inside every separately remained region are considered as a cluster and a Gaussian component is estimated using expectation-maximization (E-M) algorithm, for every cluster. …”
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Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance by Mohsen Akbari, Ahmed Wasif Reza, Kamarul Ariffin Noordin, Kaharudin Dimyati, Mohsen Riahi Manesh, Mohammad Nour Hindia

“…This paper focuses on optimality of analytical study on the common soft decision fusion (SDF) CSS based on different iterative algorithms which confirm low total probability of error and high probability of detection in detail. …”
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An automatic approach to detect skin cancer utilizing active infrared thermography by Ricardo F. Soto, Sebastián E. Godoy

“…The detection algorithm relies on accurate lesion segmentation, and its performance was evaluated across four segmentation techniques. …”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…To address this problem, we proposed a lightweight vehicle detection algorithm model based on the improvement of YOLOv8. …”
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Localization and ambiguity resolution algorithm for time-difference fusion of three satellites based on observation filtering by Yanli Zhang, Haoquan Wang, Jingfeng Zheng, Lei Hua, Rui Zhang, Jian Xie

“…Abstract To address the issues of low accuracy and time-difference ambiguity in the localization and tracking of multiple satellites, we have conducted a thorough study of the localization algorithm and the ambiguity resolution algorithm for the time-difference fusion of multiple satellites. …”
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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…In obstacle avoiding experiments, the application of the proposed algorithm increased the distance from obstacles to a certain extent, while maintaining a low curvature. …”
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Real-time locomotion mode detection in individuals with transfemoral amputation and osseointegration by Bahareh Ahkami, Morten B. Kristoffersen, Max Ortiz-Catalan

“…Abstract Background Despite notable advancements in prosthetic leg technology, commercially available devices with embedded algorithms utilizing bioelectric signals for prosthetic leg control are lacking. …”
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Wearable Fall Detection System with Real-Time Localization and Notification Capabilities by Chin-Kun Tseng, Shi-Jia Huang, Lih-Jen Kau

“…To address the aforementioned issues, we developed a portable, wearable device that integrates a microcontroller (MCU), an inertial sensor, and a chip module featuring Global Positioning System (GPS) and Narrowband Internet of Things (NB-IoT) technologies. A low-complexity algorithm based on a finite-state machine was employed to detect fall events, enabling the module to meet the requirements for long-term outdoor use. …”
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‎A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems‎ by Alfredo Cuzzocrea, Enzo Mumolo, Islam Belmerabet, Abderraouf Hafsaoui

“…., without any human intervention, and thus the possibility of debugging an application to manage the anomaly is very difficult, if not impossible. Anomaly detection algorithms are the primary means of being aware of anomalous conditions. …”
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Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

“…To address the limitations of existing algorithms—particularly their low efficiency in detecting small objects and poor accuracy in complex backgrounds—we propose a defect detection model for transmission line components based on YOLOv5. …”
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Floating Neutral Detection Using Actual Generation of Form 2S Meters by I. Vicente, A. Arrinda, J. E. Rodriguez-Seco, L. Piyasinghe

“…In the low-voltage distribution system of the USA, Canada and some countries of Central and South America, the most used configuration is the single-phase three-wire system (120 V/240 V) also known as the split-phase distribution system. …”
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Pavement pothole detection system based on deep learning and binocular vision by Tian Guan, Jianyuan Cai, Yu Wang, Wei Yang, Xiaobo Chang, Yi Han

“…Finally, vehicle experiments were conducted to verify the effectiveness of the algorithm in meeting detection requirements while considering long-range perception accuracy. …”
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ACD-Net: An Abnormal Crew Detection Network for Complex Ship Scenarios by Zhengbao Li, Heng Zhang, Ding Gao, Zewei Wu, Zheng Zhang, Libin Du

“…The existing abnormal crew recognition algorithms are affected by complex ship environments and have low performance in real and open shipborne environments. …”
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Ultrasonic detection of melting and debonding of interface between skin and ice layer by WANG Yuan, ZHANG Yang, WANG Yan, ZHU Chengxiang, ZHU Chunling

“…The ability of the system to measure the degree of ice melting under the action of electric heating was verified in the low-temperature environment. The ultrasonic ice detection system was built, and the low-temperature ultrasonic sensor was designed and fabricated. …”
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An improved YOLOv5s-based method for detecting rice leaves in the field by Cheng Zhou, Caohang Zhou, Lili Yao, Yagang Du, Xin Fang, Zhangbin Chen, Chengliang Yin

“…First, we added a high-resolution layer and removed the original low-resolution detection layer, using the K-Means++ clustering algorithm to reset the anchor box sizes, enhancing the model’s ability to identify small leaf tip targets while reducing the number of parameters. …”
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Research on Near-Infrared Non-Invasive Blood Glucose Detection Technology by Wang Jinshuo

“…This study is based on near-infrared spectroscopy technology (780- 2500nm) to systematically analyze the characteristic absorption of hydrogen-containing functional groups, such as C-H and O-H in glucose molecules. The detection wavelength selection (1500-1800nm) and detection site (fingertip) were optimized, and the applicability of diffuse reflection and transmission detection modes was compared. …”
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Comprehensive Evaluation of Techniques for Intelligent Chatter Detection in Micro-Milling Processes by Guilherme Serpa Sestito, Wesley Angelino De Souza, Alessandro Roger Rodrigues, Maira Martins Da Silva

“…This work proposed using feature selection to evaluate the impact of several statistical features on the performance of ML classifiers for chatter detection during micro-milling operations, compare them to the performance of the Convolutional Neural Network algorithm, and discuss the employability of the techniques on the STM32F446RE microcontroller. …”
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A Hybrid Mechanism to Detect DDoS Attacks in Software Defined Networks by ÙAfsaneh Banitalebi Dehkordi, MohammadReza Soltanaghaei, Farsad Zamani Boroujeni

“…With the advent of SDN networks, they are not immune to these attacks, and due to the software-centric nature of these networks, this type of attack can be much more difficult for them, ignoring effective parameters such as port and Source IP in detecting attacks, providing costly solutions which are effective in increasing CPU load, and low accuracy in detecting attacks are of the problems of previously presented methods in detecting DDoS attacks. …”
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