Current-to-Best Crossover for Modified Jaya Algorithm by Sandeep Kumar Mogha, Sonal Deshwal, Pravesh Kumar

“…The Jaya algorithm is a recently designed metaheuristics and has been verified for its good performance in solving various engineering and scientific optimization applications. …”
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Improvement Algorithm of ViBe in Moving Target Detection by YIN Fang, MENG Di, LI Ao

“…Aiming at the problem that Visual Background Extractor（ViBe） algorithm is not sensitive to light mutation and is mistakenly detected as foreground due to a large number of high-frequency disturbed objects in the background, an improved method is proposed based on the classical ViBe algorithm. …”
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Enhancing acute leukemia classification through hybrid fuzzy C means and random forest methods by K. Lakshmi Narayanan, R. Santhana Krishnan, Y. Harold Robinson, S. Vimal, Tarik A. Rashid, Chetna Kausha, Md. Mehedi Hassan

“…In this proposed method the classification is tested with two Machine Learning algorithms which are Hybrid Fuzzy C Means (FCM) and Random Forest algorithm (RF) and Support Vector Machine for the detection and classification of Acute Leukemia disease and their performance was evaluated. …”
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Autonomous vehicle surveillance through fuzzy C-means segmentation and DeepSORT on aerial images by Asifa Mehmood Qureshi, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz AlHammadi, Muhammad Asif Jamal, Ahmad Jalal, Bumshik Lee

“…As a result, this article proposes a novel vehicle detection and tracking system for autonomous vehicle surveillance, which employs Fuzzy C-mean clustering to segment the aerial images. After segmentation, we employed the YOLOv4 deep learning algorithm, which is efficient in detecting small-sized objects in vehicle detection. …”
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MODELING OF MECHANISM OF STRENGTHENING LAYER FORMING IN THE PROCESSES OF HARDENING AND RECOVERY OF STEEL ARTICLES BY MEANS OF FROSTING by A. V. Alifanov, G. F. Betenja, V. M. Golub

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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…The final experimental results indicate that, compared to the original YOLOv8n algorithm, the PFW-YOLO algorithm achieves a 53% reduction in parameters, a 42% decrease in computational effort, and a 51% reduction in model size, while enhancing the mean average precision (mAP) by 0.4%.…”
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ＲGB-DSLAM Visual Odometry Optimization Algorithm by DONG Jing-wei, JIANG Yi-ming, HAN Zhi-yu

“…In view of the long time-consuming and poor precision of ＲGB-D SLAM algorithm in the field ofvisual SLAM，an implementation scheme of ＲGB-D SLAM visual odometry is proposed. …”
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An Environment Recognition Algorithm for Staircase Climbing Robots by Yanjie Liu, Yanlong Wei, Chao Wang, Heng Wu

“…Currently, while there are LiDAR-based algorithms that focus either on step geometry detection or scene mapping, few comprehensive algorithms exist that address both step geometry perception and scene mapping for staircases. …”
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EVALUATION OF ITERATIVE ALGORITHMS FOR TOMOGRAPHY IMAGE RECONSTRUCTION by Alexandre F. Velo, Alexandre G. Alvarez, Margarida Mizue Hamada, Carlos Henrique de Mesquita

“…The analyses involved the measurement of the contrast to noise ratio (CNR), the root mean square error (RMSE) and the Modulation Transfer Function (MTF),in order to know which algorithm fits the conditions to optimize the system better.   …”
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Back-Analysis of Parameters of Jointed Surrounding Rock of Metro Station Based on Random Forest Algorithm Optimized by Cuckoo Search Algorithm by Xinping Guo, Annan Jiang, Xiang Liu

“…This study combines the ubiquitous-joint model, random forest algorithm (RF), and cuckoo search algorithm (CS) to construct the parameters identification method of a jointed rock mass. …”
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Performance analysis of global local mean square error criterion of stochastic linearization for nonlinear oscillator by Luu Xuan Hung, Nguyen Cao Thang

“…This criterion of stochastic linearization for nonlinear oscillators bases on dual conception to the local mean square error criterion (LOMSEC). The algorithm is generally built to multi-degree of freedom (MDOF) nonlinear oscillators. …”
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Shape similarity differential privacy trajectory protection mechanism based on relative entropy and K-means by Suxia ZHU, Shulun LIU, Guanglu SUN

“…To solve the problem that most studies had not fully considered the sensitivity of location to privacy budget and the influence of trajectory shape, which made the usability of published trajectory poor, a shape similarity differential privacy trajectory protection mechanism based on relative entropy and K-means was proposed.Firstly, according to the topological relationship of geographic space, relative entropy was used to calculate the sensitivity of real location to privacy budget, a real-time calculation method of location sensitive privacy level was designed, and a new privacy model was built in combination with differential privacy budget.Secondly, K-means algorithm was used to cluster the release position to obtain the release position set that was most similar to the real position direction, and Fréchet distance was introduced to measure the similarity between the release track and the real track, so as to improve the availability of the release track.Experiments on real data sets show that the proposed trajectory protection mechanism has obvious advantages in trajectory availability compared with others.…”
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Enhanced Hybrid Detection Technique for Minimum Mean Square Equalizer in Uplink Massive MIMO Systems by Azhar Hussein Neama, Ghanim A. Al-Rubaye

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Increasing the efficiency of teaching the topic "Burns, frostbites, electric traumas" by means of modern educational technology by Nor N.N.

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User Segmentation Based on Purchasing Habits and Preferences on the Amazon Platform Using K-Means Clustering by Al Isra Denk Rimakka, Rezty Amalia Aras

“…The research process involves Knowledge Data Discovery (KDD) stages, including data processing, attribute selection, and applying the K-Means Clustering algorithm. The analysis results reveal five distinct user clusters, each with unique characteristics reflecting user behavior and preferences. …”
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ECONOMIC SECURITY OF REGIONS AS A CRITERION FOR FORMATION AND DEVELOPMENT OF AGRICULTURAL CLUSTERS BY MEANS OF INNOVATIVE TECHNOLOGIES by Roman Viktorovich ZHARIKOV, Valerii Vasilievich BEZPALOV, Sergei Aleksandrovich LOCHAN, Maksim Vyacheslavovich BARASHKIN, Aleksandr Romanovich ZHARIKO

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RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study by Angela H. L. Chen, Yun-Chia Liang, Wan-Ju Chang, Hsuan-Yuan Siauw, Vanny Minanda

“…Based on big data smart card information, this paper proposes using the RFM and K-means clustering algorithm to analyze and construct mode-switching traveller profiles on MRT and YouBike riders. …”
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Deterministic and fractional-order modeling of measles dynamics with harmonic mean incidence rate and quarantine impact by Rehan Khan, Ioan-Lucian Popa, Emad A. A. Ismail, Fuad A. Awwad, Umar Ishtiaq

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Decoding Cultural-Code Meaning of Allusion in Translations (Xi Jinping’s Speech at Davos Forum 2021) by T. N. Zubakina, E. D. Sapko

“…The results of an interpretative analysis in order to identify allusive hidden meanings and cultural-code meanings of the units under study are presented in the article. …”
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A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation by Saritha Saladi, Karuna Yepuganti, Ravikumar Chinthaginjala, Tae-hoon Kim, Shafiq Ahmad

“…To enhance tissue and tumor segmentation, a new machine learning-based method called as Gaussian-Kernelized Enhanced Intuitionistic Fuzzy-C-Means (GKEIFCM) has been proposed. Approach enhances Improved Intuitionistic Fuzzy-C-Means Algorithm (IIFCM) by utilizing Gaussian kernelized distance between pixels, resulting in uncomplicated segmentation with reduced computational times and improved efficiency. …”
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