Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

“…When ships conduct offshore operations in the ocean, they are subject to disturbances from natural factors such as sea breezes and waves. …”
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Optimal control strategy on hybrid energy storage systems to improve system inertia for a bipolar DC microgrid by Yuechao Ma, Guangchen Liu, Hongbin Hu, Jun Tao, Yu Xu

“…These discriminators are employed for avoiding the influence of SCs on the state-of-charge balancing on the positive and negative batteries and to control the output and recovery actions of the SCs. Based on the 2 operating-state discriminators, 2 virtual DC generators (VDCGs) are introduced into the output paths of the SCs for improving the positive and negative system inertia when the output signals of the operating-state discriminators are activated. …”
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A new model for plasmapause locations derived from IMAGE RPI and Van Allen Probes data by Banyś Daniela, Feltens Joachim, Jakowski Norbert, Berdermann Jens, Hoque Mainul M., Zandbergen René, Enderle Werner

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Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection by Jacek Wodecki, Justyna Hebda-Sobkowicz, Adam Mirek, Radosław Zimroz, Agnieszka Wyłomańska

“…The main objectives of algorithms in finding P-wave are high accuracy, reasonable time of operation, and automatic detection of wave arrival. …”
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Remote Sensing Perspective on Monitoring and Predicting Underground Energy Sources Storage Environmental Impacts: Literature Review by Aleksandra Kaczmarek, Jan Blachowski

“…However, potential adverse effects such as ground movements, leakage, seismic activity, and environmental pollution are observed. …”
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Dynamic Fault Tree Generation and Quantitative Analysis of System Reliability for Embedded Systems Based on SysML Models by Changyong Chu, Weikang Yang, Yajun Chen

“…This is combined with SysML activity diagrams to generate dynamic fault trees using traversal algorithms. …”
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Enhancing Route Optimization in Road Transport Systems Through Machine Learning: A Case Study of the Dakhla-Paris Corridor by Najib El Karkouri, Lahcen Hassine, Younes Ledmaoui, Hasna Chaibi, Rachid Saadane, Nourddine Enneya, Mohamed El Aroussi

“…Finally, our results reveal that neural networks outperform other algorithms in this field, proving their superior effectiveness for this specific application.…”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…Reconfigurable processor-based acceleration of deep convolutional neural network (DCNN) algorithms has emerged as a widely adopted technique, with particular attention on sparse neural network acceleration as an active research area. …”
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Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis by Jian Du, Tian Zhou, Wei Zhang, Wei Peng

“…Finally, immune cell infiltration analysis was performed using CIBERSORT algorithm to explore the correlation between feature genes and immune cells. …”
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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…Using the Deep Q-Network (DQN) algorithm, the system identifies optimal defensive strategies through multidimensional data interactions. …”
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Physical Implementation and Experimental Validation of the Compensation Mechanism for a Ramp-Based AUV Recovery System by Zhaoji Qi, Lingshuai Meng, Haitao Gu, Ziyang Guo, Jinyan Wu, Chenghui Li

“…The system integrates attitude feedback provided by an attitude sensor and dual-motor actuation to achieve active roll and pitch compensation of the capture window. …”
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A Multi-Stage Approach for External Trucks and Yard Cranes Scheduling with CO₂ Emissions Considerations in Container Terminals by Ahmed Talaat, Mohamed Gheith, Amr Eltawil

“…The proposed approach combines data analysis and operations research techniques. Specifically, it employs a K-means clustering algorithm to reduce the number of necessary truck trips for container handling. …”
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Trusted Energy-Aware Hierarchical Routing (TEAHR) for Wireless Sensor Networks by Vikas, Charu Wahi, Bharat Bhushan Sagar, Manisha Manjul

“…The comparisons of TEAHR with conventional techniques show that the proposed algorithm reduces total latency by 15%, enhances energy efficiency by around 20%, and maintains a stable packet forwarding rate, which is highly desirable for accurate operation in adversarial environments, as demonstrated through comparative analysis. …”
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Retrospective multicenter analysis of the results of treatment for chronic duodenal ulcers complicated by bleeding by A. O. Tantsev, A. Yu. Korolkov, D. N. Popov, O. A. Udoratin

“…Today, despite the therapeutic and diagnostic algorithms in the treatment of patients with ulcerative bleeding and the development of medical technologies, high postoperative and overall mortality remains amid a decrease in operational activity, which indicates the urgency of the problem and requires optimization of existing therapeutic and diagnostic algorithms.The objective was to analyze the results of treatment of patients with chronic duodenal ulcers complicated by bleeding.Methods and materials. …”
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Multi-objective-based economic dispatch and loss reduction in the presence of electric vehicles considering different optimization techniques by David Hmingthanmawia, Subhasish Deb, Subir Datta, Ksh. Robert Singh, Umit Cali, Umit Cali, Taha Selim Ustun

“…This paper proposes a multi-objective-based economic dispatch management including EVs to minimize the generator cost and active power loss. The entire system is retained for keeping in mind the economic operation of the whole system. …”
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AlzhCPI: A knowledge base for predicting chemical-protein interactions towards Alzheimer's disease. by Jiansong Fang, Ling Wang, Yecheng Li, Wenwen Lian, Xiaocong Pang, Hong Wang, Dongsheng Yuan, Qi Wang, Ai-Lin Liu, Guan-Hua Du

“…The area under the receiver operating characteristic curve (ROC) for the test sets ranged from 0.629 to 1.0, with an average of 0.903. …”
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FORMATION PROGRAM IN MATHEMATICS AT THE TECHNICAL UNIVERSITY AND THE QUALITY OF KNOWLEDGE by Y. P. Bogomolova

“…Restructuring of mathematics programs is designed to develop logical and algorithmic thinking of engineering students; to cultivate an applied mathematical culture; formation of insight and erudition in mathematics application.Practical significance. …”
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Identification and validation of endoplasmic reticulum stress-related diagnostic biomarkers for type 1 diabetic cardiomyopathy based on bioinformatics and machine learning by Qiao Tang, Yanwei Ji, Zhongyuan Xia, Yuxi Zhang, Chong Dong, Chong Dong, Qian Sun, Shaoqing Lei

“…In addition, the association of the signature genes with immune infiltration was analyzed using the CIBERSORT algorithm and the Spearman correlation test.ResultsGene expression data on DC were downloaded from the GEO database and ERGs were obtained from the Gene Ontology Knowledgebase. …”
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Observación y cuantificación de defectos en soldaduras a través del procesamiento digital de imágenes termográficas//Defects in weld observation and quantification through digital... by Eriel Pérez-Zapico, Alejandro Duffus‐Scott, Carlos René Gómez‐Pérez, Freddy Santo‐Castillo

“…The infrared images digital processing algorithm was based on the conversion of the images to scale of gray, filters and morphological operations application for quantification the defects.…”
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Modelling and simulation of the block pouring construction system considering spatial–temporal conflict of construction machinery in arch dams by Zhipeng Liang, Jiayao Peng, Chunju Zhao, Huawei Zhou, Dongfeng Li, Yihong Zhou, Quan Liu, Xiaodong Li, Cheng Zhang, Fang Wang

“…According to the degree of spatial–temporal conflict and its effect on security and efficiency, the subsidiary space scope of construction machinery is divided into three levels from inside to outside. The quantification algorithm of spatial–temporal conflict is proposed based on the three-layered space and time–space microelement model. …”
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