ON TRAVERSABILITY COST EVALUATION FROM PROPRIOCEPTIVE SENSING FOR A CRAWLING ROBOT by Jakub Mrva, Martin Stejskal, Jan Faigl

“…This paper addresses the problem of traversability cost evaluation based on proprioceptive sensing for a hexapod walking robot while optimizing different criteria. …”
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Applicability Evaluation of Provincial Precipitation Real-time Analysis Product in Beijing by Zhao Wenfang, Wang Huiying, Meng Huifang, Miao Yupeng, Huang Mingming, Fan Min, Tang Wei

“…In September 2022, National Meteorological Information Center issues a provincial multi-source fusion real-time analysis system to promote the collaborative application of precipitation analysis in different provinces. The same core multi-source fusion algorithms for real-time precipitation analysis products are applied in this system, allowing access to additional provincial local observations. …”
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Structural optimization and performance evaluation of a sugarcane leaf mulching machine by Weihua Huang, Shuo Wang, Chang Ge, Lijiao Wei, Dongjie Du, Zhaojun Niu, Ming Li, Zhenhui Zheng

“…The operational principles of the machine were analyzed, and the effects of different blade types, including straight and hammer-shaped blades, on mulching performance were evaluated. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…Therefore, the current task considered in the work is the development of rules for ensuring the restructuring of system centers according to different types of architecture. The aim of the work is to develop criteria for evaluating potential options for centralization in the architecture of multicomputer systems with traps and decoys. …”
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An Assessment of High-Order-Mode Analysis and Shape Optimization of Expansion Chamber Mufflers by Min-Chie CHIU, Ying-Chun CHANG

“…Using an eigenfunction (higher-order-mode analysis), a four-pole system matrix for evaluating acoustic performance (STL) is derived. To improve the acoustic performance of the expansion chamber muffler, three kinds of expansion chamber mufflers (KA-KC) with different acoustic mechanisms are introduced and optimized for a targeted tone using a genetic algorithm (GA). …”
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Solving Three-Stage Operating Room Scheduling Problems with Uncertain Surgery Durations by Yang-Kuei Lin, Chin Soon Chong

“…The results from different problem sizes and uncertainty levels show that GARS and GARS_SA consistently perform better than the other algorithms. …”
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High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDE... by Teo Prica, Aleš Zamuda

“…In this differential evolution (DE) optimization use case, we analyze how energy efficiently the DE algorithm performs with different DE strategies and ML models. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…To ensure the reliability of the results obtained, all the techniques used in the trading were evaluated using several different evaluation mechanisms, including accuracy, precision, recall, F1-score, confusion matrix, and runtime analysis. …”
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DOLOMITE THERMAL-DECOMPOSITION MACROKINETIC MODELS FOR EVALUATION OF THE GASGENERATORS SORBENT SYSTEMS by K. V. Dobrego

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Predicting the Open Porosity of Industrial Mortar Applied on Different Substrates: A Machine Learning Approach by Rafael Travincas, Maria Paula Mendes, Isabel Torres, Inês Flores-Colen

“…This study aims to evaluate the potential of machine learning algorithms (Random Forest and Support Vector Machine) in predicting the open porosity of a general-use industrial mortar applied to different substrates based on the characteristics of both the mortar and substrates. …”
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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

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The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications by Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Manfredo Atzori

“…This study is the first to thoroughly investigate the effects of EEG preprocessing in deep learning applications, drafting guidelines for future research. It evaluates the effects of varying preprocessing levels, from raw and minimally filtered data to complex pipelines with automated artifact removal algorithms. …”
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Performance Analysis of Eye Movement Event Detection Neural Network Models with Different Feature Combinations by Birtukan Adamu Birawo, Pawel Kasprowski

“…The results show that the proposed method, using a combination of velocity and direction with acceleration and/or jerk, improves PSO identification performance, which has been difficult to distinguish from short saccades, fixations, and SPs using classic algorithms. Finally, heuristic event measures were applied, and performance was compared across different feature combinations. …”
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Analysis of mid-infrared spectrum characteristics of sandstone with different acidification degrees based on fusion model by Lu Chen, Longfei Chang, Huiqing Lian, En Wang, Bixing Zhang, Jia Kang

“…Therefore, it is crucial to develop a robust spectral prediction model to accurately evaluate the degree of rock acidification. Initially, red sandstone samples were immersed in hydrochloric acid solutions of different concentration for 1 h, 3 h, 5 h, 24 h, and 72 h, respectively. …”
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Enhanced NSGA-II algorithm based on novel hybrid crossover operator to optimise water supply and ecology of Fenhe reservoir operation by Qinglai Xiong, Ling Dong, Hu Chen, Xueping Zhu, Xuehua Zhao, Xuerui Gao

“…This study addresses bi-objective optimisation problems by proposing a novel crossover evolution operator, known as the hybrid simulated binary and improved arithmetic crossover (SBAX) operator, based on the simulated binary cross (SBX) and arithmetic crossover operators, and applies it to the Non-dominated Sorting Genetic Algorithms-II (NSGA-II) algorithm to improve the algorithm. …”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…This study introduces a novel approach to detecting, identifying, and profiling SC vulnerabilities, comprising two key components: an updated analyzer named SCsVulLyzer (V2.0) and an advanced Genetic Algorithm (GA) profiling method. The analyzer extracts 240 features across different categories, while the enhanced GA, explicitly designed for profiling SC vulnerabilities, employs techniques such as penalty fitness function, retention of elites, and adaptive mutation rate to create a detailed profile for each vulnerability. …”
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Assessment of Structured Music Creation Using Compositional Hierarchical Diffusion Model in Music Using Intelligent Fuzzy Information Based Algorithm by Ru Wen

“…This paper offers an evaluation of structured music creation using a new method that combines the information-based algorithm of the Circular Power Maclaurin Symmetric Mean (CPMSM) with the Compositional Hierarchical Diffusion Model (CHDM). …”
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Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism by Jin-Ling Bei, Ji-Quan Wang

“…DSBWO demonstrates superior optimization performance on the CEC2017 benchmark, with faster convergence and higher accuracy than other algorithms. Experiments on the Berkeley Segmentation Dataset and potato early/late blight images show that DSBWO achieves excellent segmentation performance across multiple evaluation metrics. …”
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Protection Algorithm Based on Two-Dimensional Spatial Current Trajectory Image and Deep Learning for Transmission Lines Connecting Photovoltaic Stations by Panrun Jin, Jianling Liao, Wenqin Song, Xushan Zhao, Yankui Zhang

“…A data-enhanced convolutional neural network (A-CNN) based on cross-overlapping data sets is used to identify trajectory features and locate faults. After performance evaluation, the protection algorithm has the advantages of adapting to new energy access, resisting transition resistance, and robustness to current transformer (CT) saturation, and outliers.…”
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A hierarchical time-varying optimization algorithm for Photovoltaic-energy storage to suppress three-phase imbalances in active distribution networks by Xingxu Zhu, Jiyu Wang, Haozheng Yu, Jie Ma, Junhui Li, Cuiping Li

“…First, an evaluation index of three-phase voltage unbalance is established, and a time-varying optimization model of the distribution network that includes three-phase unbalance constraints is developed by taking into account the regulation of photovoltaic (PV) and energy storage systems; second, a time-varying optimization method for distribution networks based on voltage measurement feedback is designed, in this method, the sensitivity of PV and energy storage regulation to mitigate three-phase imbalance is calculated based on voltage measurements, the sensitivity related to the three-phase imbalance is decoupled at the boundaries of different zones within the distribution network, this sensitivity can be obtained by combining voltage measurement feedback from within the zones and information exchange between zones; finally, the results are iteratively refined using the distribution network information obtained through measurements, this iterative process achieves a time-varying optimization tracking effect that suppresses three-phase imbalance. …”
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