Combined Prediction of Dust Concentration in Opencast Mine Based on RF-GA-LSSVM by Shuangshuang Xiao, Jin Liu, Yajie Ma, Yonggui Zhang

“…To enhance the prediction accuracy of dust concentration in these mines, a combined prediction algorithm utilizing RF-GA-LSSVM is developed. Initially, the random forest (RF) algorithm is employed to identify key features from the meteorological and dust concentration data collected on site, ultimately selecting five indicators—temperature, humidity, stripping amount, wind direction, and wind speed—as the input variables for the prediction model. …”
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Dynamic Bus Scheduling of Multiple Routes Based on Joint Optimization of Departure Time and Speed by Yingxin Liu, Xinggang Luo, Shengping Cheng, Yang Yu, Jiafu Tang

“…The feasibility and efficiency of the constructed algorithm were demonstrated experimentally.…”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…The research results indicate that the algorithm excels in cleaning effectiveness, efficiency, accuracy, and rationality of data deletion. …”
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Self-organized cyber physical power system blockchain architecture and protocol by Ting Yang, Feng Zhai, Jialin Liu, Meng Wang, Haibo Pen

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Fruit classification system based on the pressure sensor coupled with support vector machine by WANG Feifei, LIU Peng, SUN Fengwei, ZHOU Qiong

“…The system used support vector machine algorithm with a Gaussian kernel function (GKF-SVM) to classify fruits. …”
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Fast Collision Detection Method with Octree-Based Parallel Processing in Unity3D by Kunthroza Hor, Taeheon Kim, Min Hong

“…Performing accurate and precise collision detection is a key to real-time applications in computer graphics, games, physical-based simulation, virtual reality, augmented reality, and research and development. Researchers have developed numerous methods to minimize computation time and enhance the accuracy of collision detection for pair-object collisions. …”
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Modeling the Internet of Things network for monitoring audio information on the Amazon platform by U. A. Vishniakou, B. H. Shaya

“…The subject of research is modeling the structure of the Internet of things (IoT) network for controlling audio information based on the IoT platform. …”
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OPTIMSM: FPGA hardware accelerator for Zero-Knowledge MSM by Xander Pottier, Thomas de Ruijter, Jonas Bertels, Wouter Legiest, Michiel Van Beirendonck, Ingrid Verbauwhede

“…In recent years, hardware acceleration of this algorithm on both FPGA and GPU has become a popular research topic and the subject of a multi-million dollar prize competition (ZPrize). …”
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GSB: GNGS and SAG-BiGRU network for malware dynamic detection. by Zhanhui Hu, Guangzhong Liu, Xinyu Xiang, Yanping Li, Siqing Zhuang

“…For solving the problem, this study proposed the GNGS algorithm to construct a new balance dataset for the model algorithm to pay more attention to the feature learning of the minority attacks' malware to improve the detection rate of attacks' malware. …”
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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

“…Advances in computer vision technology have driven the research on vision-based structural vibration analysis and damage identification. …”
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A Two-Phase Embedding Approach for Secure Distributed Steganography by Kamil Woźniak, Marek R. Ogiela, Lidia Ogiela

“…This paper introduces a novel two-phase embedding algorithm that mitigates these issues, enhancing both security and practicality. …”
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Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions by Jiangtao Shen, Xinjing Wang, Ruixuan He, Ye Tian, Wenxin Wang, Peng Wang, Zhiwen Wen

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Parallel Processing of Sobel Edge Detection on FPGA: Enhancing Real-Time Image Analysis by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Dileepan Dhanasekaran, Manikandan Mahalingam, Jui-Pin Yang

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Energy Efficient Indivisible Workload Distribution in Geographically Distributed Data Centers by Muhammad Imran Khan Khalil, Iftikhar Ahmad, Abdulwahab Ali Almazroi

“…In this paper, we propose a green geographical load balancing (GreenGLB) online algorithm based on the greedy algorithm design technique for the interactive and indivisible workload distribution. …”
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Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding by Li Hui, Ahmed Ibrahim, Riyadh Hindi

“…In addition, an advanced algorithm was developed to detect cracks and evaluate crack widths in high-resolution images. …”
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Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme by Mohammed Ashraf Ali, Ahmad H. Besheer, Hassan M. Emara, Ahmed Bahgat

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INCREASED COMPETITIVENESS OF CONSTRUCTION ENTERPRISES ON THE BASIS OF ORGANISATIONAL-ECONOMIC DECISIONS OF PERSONNEL POTENTIAL MANAGEMENT by J. R. Emirbekova

“…The development of an algorithm for optimising the formation and use of human resources of a construction enterprise.Methods. …”
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Cnidaria herd optimized fuzzy C-means clustering enabled deep learning model for lung nodule detection by R. Hari Prasada Rao, Agam Das Goswami

“…Further, the implemented methods have certain limitations including scalability, robustness, data availability, and false detection rate.MethodsTo overcome the limitations in the existing techniques, this research proposes the Cnidaria Herd Optimization (CHO) algorithm-enabled Bi-directional Long Short-Term Memory (CHSTM) model for effective lung nodule detection. …”
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Multi-Sensor Information Fusion Positioning of AUKF Maglev Trains Based on Self-Corrected Weighting by Qian Hu, Hong Tang, Kuangang Fan, Wenlong Cai

“…Therefore, this paper adopts self-corrected weighting and Sage–Husa noise estimation algorithms to improve them and proposes a research method of multi-sensor information fusion and positioning of an AUKF magnetic levitation train based on self-correcting weighting. …”
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Applying neural networks in coordinated group signal transformation to improve image quality by E.A. Lopukhova, G.S. Voronkov, I.V. Kuznetsov, V.V. Ivanov, R.V. Kutluyarov, A.Kh. Sultanov, E.P. Grakhova

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