Application of the Mean-shift Segmentation Parameters Estimator (MSPE) to VHSR satellite images: Tetuan-Morocco by O. Benarchid, N. Raissouni, J.A. Sobrino, A. El Ayyan

“…MSPE estimates the parameters values for the Mean-shift Segmentation (MS) algorithm. However, this algorithm needs as inputs: i) existing vector database and, ii) spectral data to define automatically the segmentation parameter values. …”
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ALGORITHMIC CONSTRUCTION SCHEDULES IN CONDITIONS OF TIMING CONSTRAINTS by Alexey S. Dobrynin, Roman S. Koynov

“…Tasks of time-schedule construction (JSSP) in various fields of human activities have an important theoretical and practical significance. The main feature of these tasks is a timing requirement, describing allowed planning time periods and periods of downtime. …”
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A Multi-Objective Particle Swarm Optimization Approach for Optimizing K-Means Clustering Centroids by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

“…The K-Means algorithm is a popular unsupervised learning method used for data clustering. …”
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ALGORITHM FOR DYNAMIC SCALING RELATIONAL DATABASE IN CLOUDS by Alexander V. Boichenko, Dminry K. Rogojin, Dmitry G. Korneev

“…This article analyzes the main methods of scalingdatabases (replication, sharding) and their supportat the popular relational databases and NoSQLsolutions with different data models: document-oriented, key-value, column-oriented and graph.The article presents an algorithm for the dynamicscaling of a relational database (DB), that takesinto account the specifics of the different types of logic database model. …”
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Research on Particle Filter Video Tracking Algorithms by YU Shuchun, TONG Xiaoyu

“…Aiming at the problem of insufficient robustness of moving target tracking in complex scenes, a particle filter target tracking algorithm based on CNN feature extraction is proposed CNN selflearning mechanism is used to extract highlevel semantic features of objects in images Chaotic sequence variable scale firefly algorithm is introduced to improve the accuracy of target recognition A particle filter tracking algorithm combining mean shift and weight optimization is constructed to optimize the weight of particles, improve the diversity of particle sets and make video tracking more accurate The simulation results show that the proposed algorithm can effectively adapt to occlusion, illumination, violent motion and other scenes, and has good adaptability and high realtime performance to illumination change, scale change, occlusion and so on The results of comparison with seven other methods show that under the same experimental conditions, the tracking success rate and tracking accuracy of this method are 5%~40% higher than those of other methods…”
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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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An Efficient Algorithm for Decomposition of Partially Ordered Sets by Elsayed Badr, Mohamed EL-Hakeem, Enas E. El-Sharawy, Thowiba E. Ahmed

“…The main goal of this paper is proposing an efficient algorithm to compute the width of a given partially ordered set P according to Dilworth’s theorem. …”
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An Environment Recognition Algorithm for Staircase Climbing Robots by Yanjie Liu, Yanlong Wei, Chao Wang, Heng Wu

“…Firstly, we preprocess the staircase point cloud, mainly using the Statistical Outlier Removal algorithm to effectively remove the outliers in the staircase scene and combine the vertical angular resolution and spatial geometric relationship of LiDAR to realize the ground segmentation in the staircase scene. …”
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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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A Quantum Processing Framework for Quantum Algorithms by Mohammad Reza Soltan Aghaei, Zuriati Ahmad Zukarnain

“…At first, the hybrid architecture is designed for the quantum algorithms. Then, the relationship between the classical and the quantum part of hybrid algorithms is extracted, and main stages of the hybrid algorithm are developed. …”
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An Algorithm of (n, t)-Threshold Proxy Signature with an Arbitrator by E. A. Tolyupa

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Deep Learning-Based Object Detection Algorithms by Yao Linxi

“…One of the main areas of study in computer vision is object detection. …”
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Development of Algorithms for Processing Images of Large Volumes by O. N. Vinichuk, V. I. Dravitsa

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Analgesic treatment, by using a systemic algorithm by A. E. Karateev, L. I. Alekseeva

“…This review considers the targets of pharmacotherapy for MSP and the main groups of medications that may affect them. …”
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Method and Algorithm for Processing Large Volume Images by O. N. Andreichuk, N. I. Listopad

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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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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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Algorithm of fire detection for multi-sensor system by R. A. Bagutdinov, M. F. Stepanov

“…The main scientific goal is for the system to work autonomously on certain segments of the monitoring process, while the three agents, to varying degrees, must interact with each other based on communication and decision-making algorithms.Method. …”
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