Bearing Fault Diagnosis Method based on Self-adaptive Stochastic Resonance of Genetic Algorithm and VMD by Zhang Chao, He Yuanyuan

“…Aiming at this phenomenon,the self-adaptive re-scaling stochastic resonance based on genetic algorithm（ GA） and the Variational Mode Decomposition（ VMD） is proposed. …”
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An Improved Optimal Linear Weighted Cooperative Spectrum Sensing Algorithm for Cognitive Radio Sensor Networks by Yonghua Wang, Yuehong Li, Jian Yang, Pin Wan, Qinruo Wang

“…The simulation results show that the proposed linear cooperative spectrum detection scheme based on the CHS algorithm has better performance than HS, SFLA, EGC, MRC, and MDC algorithm. …”
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Enhanced Network Traffic Classification Using Bayesian-Optimized Logistic Regression and Random Forest Algorithm by Manisankar Sannigrahi, R. Thandeeswaran

“…Compared to other machine learning algorithms, the proposed models demonstrate superior performance in balancing accuracy, computational efficiency, and detection speed, making them ideal for real-time network security applications. …”
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The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection by Dhani Ariatmanto, Anggi Muhammad Rifai

“…This research focuses on detecting and classifying fake news using the Random Forest algorithm by investigating the impact of feature extraction techniques on classification accuracy, this study specifically employs the TF-IDF method. …”
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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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Fraud Detection Using a Fuzzy Expert System In Motor Insurance by Seyed Mohammadtaghi TaghaviFard, Zahra Jafari

“…Over the years, many methods have been used in the literature for fraud detection, one of which is expert systems. Fraud detection expert systems are based on the knowledge of experts in the field of insurance identify fraud. …”
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Rice Appearance Quality Detection Technology Based on Muti-demensional Features by XING Jian, LUO Jia-shun

“…In order to improve the image quality, a new data fusion algorithm is proposed, which realizes the segmentation of rice sample and background, eliminates the noise to the maximum extent, and improves the accuracy of subsequent detection function. …”
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Bridge facility health detection method based on DATA random subspace by Xiaoyan Shen

“…Compared with other algorithms, the research algorithm has higher bridge data detection accuracy, with an average data detection accuracy of 95.84 % and an accuracy growth rate of 26.9 %. …”
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Experimental economics for machine learning-a methodological contribution on lie detection. by Dmitri Bershadskyy, Laslo Dinges, Marc-André Fiedler, Ayoub Al-Hamadi, Nina Ostermaier, Joachim Weimann

“…To demonstrate this, we focus on algorithms trained to detect lies. Such algorithms are of high relevance for research in economics as they deal with the ability to retrieve otherwise private information. …”
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Cotton Disease Detection Using TensorFlow Machine Learning Technique by Sandeep Kumar, Rajeev Ratan, J. V. Desai

“…In this paper, the CNN algorithm is used to create the prediction model by leveraging the TensorFlow’s Keras API. …”
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From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering by Armelle Brun, Sylvain Castagnos, Anne Boyer

“…We propose to take inspiration from local community detection algorithms to form communities of users and deduce the set of mentors of a given user. …”
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Advancing Image Forensic: Detecting Facial Manipulations via Meso_KNN by Hazem Issa, Bayan Zarnahji

“…As a result, an effective model has been developed using deep learning techniques, relying on the deep neural network known as Meso Net and the K-nearest neighbors algorithm. This model, referred to as Meso_KNN, is presented in this paper. …”
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CNN-Based Ball and Goal Detection for KRSBI Robot with Omnidirectional Camera by T Mohd Farhan, Feri Candra

“…This study proposes a Convolutional Neural Network (CNN)-based object detection system using the YOLO (You Only Look Once) algorithm to enhance the accuracy and reliability of ball and goal detection in KRSBI robots equipped with omnidirectional cameras. …”
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Vehicle Collision Warning Based on Combination of the YOLO Algorithm and the Kalman Filter in the Driving Assistance System by Guihua Miao, Weihe Wang, Jinjun Tang, Fang Li, Yunyi Liang

“…This study applies the YOLO algorithm to detect the vehicle and uses the Kalman filter to track the vehicle. …”
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Marine Radar Target Ship Echo Generation Algorithm and Simulation Based on Radar Cross-Section by Chang Li, Xiao Yang, Hongxiang Ren, Shihao Li, Xiaoyu Feng

“…A comprehensive radar target ship echo generation algorithm was designed, and the omnidirectional radar RCS values of three typical ships were calculated. …”
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Tactical Analysis of Table Tennis Video Skills Based on Image Fuzzy Edge Recognition Algorithm by Weiqiang Li

“…Compared with the image edge detection algorithm based on interval value fuzzy, the proposed algorithm has better performance. …”
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Machine Learning Algorithms for Acid Mine Drainage Mapping Using Sentinel-2 and Worldview-3 by Fahimeh Farahnakian, Nike Luodes, Teemu Karlsson

“…This study investigates the application of Machine Learning (ML) algorithms to map AMD by fusing multispectral imagery from Sentinel-2 with high-resolution imagery from WorldView-3. …”
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A Sequential Compressed Spectrum Sensing Algorithm against SSDH Attack in Cognitive Radio Networks by Zhuhua Hu, Yong Bai, Lu Cao, Mengxing Huang, Mingshan Xie

“…The theoretical analysis and simulation results reveal that, under the condition of ensuring the certain detection probability, the proposed algorithm effectively reduces complex computation of signal reconstruction, significantly reducing the wideband spectrum sampling rate. …”
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Application-oriented Farsi license plate recognition using deterministic clustering algorithm and MSER detector by Mohammad Mehdi Zeinali, Sedigheh Ghofrani

“…The main contribution of this paper is proposing a novel deterministic and non-iterative clustering algorithm for automatic Farsi license plate recognition (ALPR). …”
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Development of an OCT image analysis algorithm for differential diagnosis of retinal edema based on deep learning by N.S. Demin, N.Y. Ilyasova, E.A. Zamytskiy, A.V. Zolotarev, D.V. Kirsh, A.Y. Ionov

“…The aim of this work is to develop an algorithm for differential diagnosis of retinal edema and study deep learning methods and their application to image analysis. …”
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