Dynamic Vehicle Routing Problems with Enhanced Ant Colony Optimization by Haitao Xu, Pan Pu, Feng Duan

“…Experimental results show that the algorithm is feasible and efficient.…”
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Investigations into the Rock Dynamic Response under Blasting Load by an Improved DDA Approach by Biting Xie, Xiuli Zhang, Hao Wang, Yuyong Jiao, Fei Zheng

“…Evaluation of blasting-induced rock damage and fragmentation is very important for safety control of construction in the jointed rock mass. …”
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Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors by Chuanliang He, Xin Xia, Bo Zhang, Wei Kang, Jinxia Zhang, Haipeng Chen

“…Case studies demonstrate the proposed method performs well across different seasons, with the lowest RMSE reaching 1.24.…”
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Increasing the reliability of reinforced concrete frames of multistorey buildings by A. P. Malyshkin, A. V. Esipov, M. A. Esipov

“…In addition, we proposed an algorithm for analyzing and rejection of unsuccessful structural systems of monolithic reinforced concrete frame buildings based on the evaluation of excessively high ratios of building failure area. …”
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Text mining for improved exposure assessment. by Kristin Larsson, Simon Baker, Ilona Silins, Yufan Guo, Ulla Stenius, Anna Korhonen, Marika Berglund

“…Chemical exposure assessments are based on information collected via different methods, such as biomonitoring, personal monitoring, environmental monitoring and questionnaires. …”
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College Student Social Dynamic Analysis and Educational Mechanism Using Big Data Technology by Jing Bai

“…In order to objectively achieve the real office of college students’ material enlightenment penetration in the mobile-friendly network, we choose the popular mobile social network, and we apply the natural clustering algorithm rules to segment the college students. Further, we identify college students, based on which we construct information leakage and apply the risk assessment design. …”
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Sentiment Analysis of Netizens on Constitutional Court Rulings in the 2024 Presidential Election by Wahyudi Ariannor, Sami M A B Alshalwi, Budi Susarianto

“…This study adopts an experimental methodology, involving several key stages such as data collection through Twitter web scraping, labelling, pre-processing, TF-IDF weighting, and algorithm testing. Evaluation using a confusion matrix shows comparable accuracy among SVM, Logistic Regression, and Naive Bayes, with SVM and Logistic Regression demonstrating superior precision and F1 scores. …”
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Early Warning of Low-Frequency Oscillations in Power System Using Rough Set and Cloud Model by Miao Yu, Jinyang Han, Shuoshuo Tian, Jianqun Sun, Honghao Wu, Jiaxin Yan

“…Firstly, we analyze the principle of grid oscillation, use rough sets to process the raw data and indicators, remove redundant attributes, and get the set reflecting the relationship of different attributes. Then we construct a standard cloud based on grid operation data and a comprehensive cloud based on PMU data and obtain the oscillation warning evaluation. …”
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THE USE OF PROJECT TECHNOLOGIES IN THE CONTEXT OF TRAINING FUTURE EDUCATORS FOR PROFESSIONAL ACTIVITY IN THE CONTEXT OF INCLUSIVE EDUCATION IN PRESCHOOL EDUCATION INSTITUTIONS by Л. Шевченко, М. Сорочан

“…Particular attention is paid to the structure of project activities: preparation, planning, research, conclusions, presentation or report, evaluation of the result, and process. The developed algorithm of applying Bloom's taxonomy for the formation of inclusive competence during project activities based on the use of innovative technologies is presented. …”
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DBSQFusion: a multimodal image fusion method based on dual-channel attention by Shaodong Liu, Faming Shao, Xiaohui He, Jinhong Xue, Heng Zhang, Qing Liu

“…To minimize this loss and enhance contrast and detail information, this paper proposes a novel image fusion algorithm based on attention mechanisms, termed Dual-Branch Squared Quadratic (DBSQ)Fusion. …”
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High-Level Synthesis under Fixed-Point Accuracy Constraint by Daniel Menard, Nicolas Herve, Olivier Sentieys, Hai-Nam Nguyen

“…To dramatically reduce the optimization time compared to fixed-point simulation-based methods, the accuracy evaluation is done through an analytical method. Different experiments on signal processing algorithms are presented to show the efficiency of the proposed method. …”
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Credibility Assessment for Digital Twins in Vehicle-in-the-Loop Test Based on Information Entropy by Tianfang Gao, Liang Chen, Xinghui Zhang, Jinghua Guo, Dong Ni

“…The algorithm has been successfully verified in experiments and it has been found that the inconsistent weight of the real and digital vehicle is an important factor on digital twins VIL tests. …”
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Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo by Abdelkabir Bacha, Ramzi El Idrissi, Khalid Janati Idrissi, Fatima Lmai

“…Despite the increasing significance of AI-driven FDD techniques, the domain suffers from a lack of publicly accessible, real-world datasets for algorithm development and evaluation. Our contribution fills this gap by offering a comprehensive, multi-sensor dataset obtained from a bespoke experimental apparatus. …”
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An Adaptive Amplifier System for Wireless Sensor Network Applications by Mónica Lovay, Gabriela Peretti, Eduardo Romero, Carlos Marqués

“…We adopt a PSoC device from Cypress for the node implementation. The performance evaluation of the scheme presented is made by adopting four different types of fault models in the amplifier gains. …”
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Assessment of the application of each multibeam echosounder data product for monitoring of Laminaria digitata in the UK by Jacob Berry, Cassandra Nanlal

“…A high resolution multibeam echosounder (MBES) survey was performed to acquire depths, backscatter and water column data in an area known to have kelp. An evaluation of different combinations of the MBES data products for kelp forest monitoring was carried out. …”
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A deep learning-based hybrid method for PM2.5 prediction in central and western China by Zuhan Liu, Zihai Fang, Yuanhao Hu

“…Furthermore, the model demonstrates stable performance across different cities and various periods. This study offers a robust approach to improving the accuracy and reliability of PM2.5 forecasting.…”
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TCN-GRU Based on Attention Mechanism for Solar Irradiance Prediction by Zhi Rao, Zaimin Yang, Xiongping Yang, Jiaming Li, Wenchuan Meng, Zhichu Wei

“…The results show that, compared to the second-ranked algorithm, the proposed model improves the evaluation metrics of mean absolute error, mean absolute percentage error, and root mean square error by 24.4%, 33.33%, and 24.3%, respectively.…”
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Multi-core helper thread prefetching for irregular data intensive applications by Jian-xun ZHANG, Zhi-min GU, Xiao-han HU, Min CAI

“…Betweenness centrality algorithm was used as a case study, the multi-parameter prefetching model of helper thread and optimized instances were presented and evaluated on commercial CMP platforms Q6600 and I7, the average speedup of betweenness centrality algorithm at different input scale is 1.20 and 1.11 respectively. …”
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Decoupled Model-Free Adaptive Control with Prediction Features Experimentally Applied to a Three-Tank System Following Time-Varying Trajectories by Soheil Salighe, Nehal Trivedi, Fateme Bakhshande, Dirk Söffker

“…In this paper, the performance of three model-free control approaches on a multi-input, multi-output (MIMO) nonlinear system with constant and time-varying references is compared. The first control algorithm is model-free adaptive control (MFAC). The second is a modified version of MFAC (MMFAC) designed to handle delays in the system by incorporating the output error difference (over two sample time steps) in the control input. …”
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Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

“…While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method,  for which the objective function is maximization of entropy, edge strength and pixel intensity. Thirty different kinds of slices of five medical datasets from diverse sources were used to assess the effectiveness of the proposed algorithm both visually and statistically compared to existing approaches. …”
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