Study of the Characteristics of a Co-Seismic Displacement Field Based on High-Resolution Stereo Imagery: A Case Study of the 2024 MS7.1 Wushi Earthquake, Xinjiang by Chenyu Ma, Zhanyu Wei, Li Qian, Tao Li, Chenglong Li, Xi Xi, Yating Deng, Shuang Geng

“…Subsequently, we applied the Iterative Closest Point (ICP) algorithm to perform differencing analysis on these datasets. …”
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Hybrid Optimization and Explainable Deep Learning for Breast Cancer Detection by Maral A. Mustafa, Osman Ayhan Erdem, Esra Söğüt

“…Breast cancer continues to be one of the leading causes of women’s deaths around the world, and this has emphasized the necessity to have novel and interpretable diagnostic models. This work offers a clear learning deep learning model that integrates the mobility of MobileNet and two bio-driven optimization operators, the Firefly Algorithm (FLA) and Dingo Optimization Algorithm (DOA), in an effort to boost classification appreciation and the convergence of the model. …”
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Optimized ensemble learning for non-destructive avocado ripeness classification by Panudech Tipauksorn, Prasert Luekhong, Minoru Okada, Jutturit Thongpron, Chokemongkol Nadee, Krisda Yingkayun

“…This study offers a scalable and clear method for non-destructive ripeness detection. …”
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Formation of a Strategy for Increasing the Efficiency of Operation of Distribution Electrical Grids at the Stage of Pre-Design Works by A. V. Zhurakhivskyi, Z. M. Bakhor, A. Ya. Yatseiko, V. H. Hapanovych

“…It is shown that in power supply companies as early as at the pre-design formation of the strategy of modernization and reconstruction of electrical grids, it is necessary to choose the optimal measures for each mainline with a clear sequence of implementation of the selected measures in the electrical grid taking into account prospects of its development. …”
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Five-Year Evaluation of Sentinel-2 Cloud-Free Mosaic Generation Under Varied Cloud Cover Conditions in Hawai’i by Francisco Rodríguez-Puerta, Ryan L. Perroy, Carlos Barrera, Jonathan P. Price, Borja García-Pascual

“…We conducted a comparative analysis of three cloud-masking methods: two Google Earth Engine algorithms (CloudScore+ and s2cloudless) and a new proprietary deep learning-based algorithm (L3) applied to Sentinel-2 imagery. …”
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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Here, JASBO combines Jaya algorithm with an Average and Subtraction-Based Optimizer (ASBO). …”
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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

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Overcoming Fairness and Latency Challenges in BBR With an Adaptive Delay Detection by Zewei Han, Go Hasegawa

“…In 2016, Google introduced a new congestion control algorithm called Bottleneck Bandwidth and Round-trip propagation time (BBR). …”
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Estimation and diagnostic for single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors by Lijie Zhou, Liucang Wu, Bin Yang

“…Comprehensive simulations demonstrated EM-CALS's superiority over the two-step iterative least squares (TSILS) algorithm, achieving reductions of 1.19% in root mean square error (RMSE), 2.45% in mean square error (MSE), 38.00% in root average squared errors ($ \text{RASE}_{1} $), and 51.35% in $ \text{RASE}_{2} $, respectively, demonstrating a clear advantage in enhancing prediction accuracy. …”
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Scheduling Strategy for “Wind-Network-Vehicle” Joint Accommodation Based on Electric Vehicle Clustering by Yan CHEN, Wei JIN, Wenbin WANG, Huibin LI, Shengfeng HAN, Yiming WANG, Jiaqing ZHONG

“…Finally, a particle swarm optimization algorithm with a shrinkage factor considering the outlier penalty function method is used to optimize the scheduling model, and a case is used to verify the superiority of the model and its scheduling strategy.…”
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Air Traffic Simulation Framework for Testing Automated Air Traffic Control Solutions by Rebeka Anna Jáger, Géza Szabó

“…Interfaces allow external algorithm integration for traffic prediction, conflict resolution, and controller workload evaluation. …”
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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…Given the continuous growth of medical data volumes, there is a clear need for modern information technologies capable of automating disease analysis and prediction processes. …”
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Optimizing Transportation Costs: Enhancing Logistics Efficiency and Resource Utilization in Dynamic Environments by Cao Ngoc Anh, Tran Bich Thao, Tran Ba Hung, Trinh Thu Huong, Nguyen Viet Hung

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Reproductive method in teaching Russian to foreign students and its innovative aspects by R. D. Shokanova, E. N. Tarasova

“…Therefore, thanks to the developed system of tasks, where the algorithmization of the educational process is clearly traced, the teacher organizes the students’ activities by repeatedly reproducing the knowledge communicated to them and the ways of activity shown.…”
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Structural organization of a fuzzy system for monitoring the condition of equipment and control of a gas distribution station by A. I. Magomedov, I. A. Magomedov, M. Sh. Usmanov

“…This approach provides developers of control systems for complex processes and/or objects with a clear and effective way to describe their dynamics. …”
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Economic Nature and Classification of Stablecoins by D. A. Kochergin

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OPTIMIZATION OF CONFIGURATION OF INDUSTRIAL ETHERNET NETWORKS DURING DESIGN OF THE AUTOMATED PRODUCTION MANAGEMENT SYSTEM by V. A. Kholopov, E. N. Kashirskaya, M. V. Gusev

“…A description of step-by-step industrial network design including algorithmic and mathematical models is given. An algorithm for designing the APCS (Automated Process Control System) industrial network is developed, the metrics of the industrial network are compared with the factors affecting them, and the optimization objective function is developed. …”
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Using modern clustering techniques for parametric fault diagnostics of turbofan engines by I. J. Buraimah

“…These modern techniques should be able to give clear and objective assessment of the object under investigation. …”
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The clinical case of treatment of apical granuloma

“…The aim of this work is to establish a clear algorithm of treatment, to indicate the proper application of new methodologies…”
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ADVANCED SCHEDULER FOR COOPERATIVE EXECUTION OF THREADS ON MULTI-CORE SYSTEM by O. N. Karasik, A. A. Prihozhy

Subjects: “…three architectures of the cooperative thread scheduler in a multithreaded application that is executed on a multi-core system are considered. architecture a0 is based on the synchronization and scheduling facilities, which are provided by the operating system. architecture a1 introduces a new synchronization primitive and a single queue of the blocked threads in the scheduler, which reduces the interaction activity between the threads and operating system, and significantly speed up the processes of blocking and unblocking the threads. architecture a2 replaces the single queue of blocked threads with dedicated queues, one for each of the synchronizing primitives, extends the number of internal states of the primitive, reduces the inter- dependence of the scheduling threads, and further significantly speeds up the processes of blocking and unblocking the threads. all scheduler architectures are implemented on windows operating systems and based on the user mode scheduling. important experimental results are obtained for multithreaded applications that implement two blocked parallel algorithms of solving the linear algebraic equation systems by the gaussian elimination. the algorithms differ in the way of the data distribution among threads and by the thread synchronization models. the number of threads varied from 32 to 7936. architecture a1 shows the acceleration of up to 8.65% and the architecture a2 shows the acceleration of up to 11.98% compared to a0 architecture for the blocked parallel algorithms computing the triangular form and performing the back substitution. on the back substitution stage of the algorithms, architecture a1 gives the acceleration of up to 125%, and architecture a2 gives the acceleration of up to 413% compared to architecture a0. the experiments clearly show that the proposed architectures, a1 and a2 outperform a0 depending on the number of thread blocking and unblocking operations, which happen during the execution of multi-threaded applications. the conducted computational experiments demonstrate the improvement of parameters of multithreaded applications on a heterogeneous multi-core system due the proposed advanced versions of the thread scheduler.…”
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