Short-Term Traffic Flow Forecasting Model Based on GA-TCN by Rongji Zhang, Feng Sun, Ziwen Song, Xiaolin Wang, Yingcui Du, Shulong Dong

“…Therefore, a short-term traffic flow forecasting model GA-TCN based on genetic algorithm (GA) optimized time convolutional neural network (TCN) is proposed in this paper. …”
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A Quadrotor UAV System for Forest Fire Monitoring by HUANG Jing, AO Zihang, ZHANG Youmin, MU Lingxia, ZHENG Kai

“…The sensing information from the above three sensors is fused by the onboard Raspberry Pi computer. A target detecting algorithm based on the dynamic and static characteristic frequency, smoke feature is proposed, and a contrast test is conducted. …”
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Sensitivity Analysis Based on E-TOPSIS Combined with MORIME-Based Multi-Objective Optimization for Sprayer Frame Design Optimization by Shaohao Zhou, Qi Chen, Lihua Zhang

“…Finally, the multi-objective lightweight design of the selected components was performed based on the MORIME algorithm. After optimization, the stress increased by 12.01% and 1.52% under two operating conditions, while deformation increased by 0.647 mm and 0.607 mm, and the frame mass was reduced by 22.754 kg, a decrease of 12.8%. …”
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A Deformation Field-Based Approach for Expression Processing in Head Motion Correction by Jiaqi Zhao, Jiaxu Zheng, Qun Chen

“…Compared to other techniques, our proposed method eliminates the negative effects of facial expression while making the most of pose information. The experiments demonstrate that our approach reduces the position error by 19.23% and orientation error by 36.37% compared to the original ICP algorithm. …”
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Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments by Lotfi Salhi, Adnane Cherif

“…This paper focuses on a robust feature extraction algorithm for automatic classification of pathological and normal voices in noisy environments. …”
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Innovative Applications of Laser Technology for Bedridden People Posture Monitoring by David Sánchez Canzobre, Pablo Pardiñas Torrado, Javier Lamas Vigo, Alberto Ramil Rego

“…The proposed method leverages low-cost structured light hardware and a custom algorithm to determine the side on which a person is lying. …”
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Improved Combinatorial Benders Decomposition for a Scheduling Problem with Unrelated Parallel Machines by Francisco Regis Abreu Gomes, Geraldo Robson Mateus

“…For the first set the proposed method performs 21.85% on average faster than the standard implementation of the Benders algorithm. For the second set the proposed method failed to find an optimal solution in only 31 in 600 instances, obtained an average gap of 0.07%, and took an average computational time of 377.86 s, while the best results of the other methods were 57, 0.17%, and 573.89 s, respectively.…”
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Comparative Study of the Performance of Two Treatment Planning Systems Using Tests from the MPPG 5b Guidelines, TECDOC 1583 and Venselaar's Confidence Limits by Carlos Vega D'Espaux, Federico Lorenzo, Franco La Paz Mastandrea, Nicolás Larragueta

“… This work presents a comprehensive comparative study of the performance of two Treatment Planning Systems (TPS) in radiotherapy: the Eclipse™ TPS by Varian Medical Systems, which utilizes the Analytical Anisotropic Algorithm (AAA), and the MIRS TPS by Nuclemed, which uses the Convolution and Superposition (CS) Algorithm. …”
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NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines by Uroš Mlakar, Iztok Fister, Iztok Fister

“…Furthermore, NiaAutoARM achieves superior or comparable performance to the state-of-the-art VARDE algorithm while offering greater flexibility and automation. …”
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Calibration Transfer of Near-Infrared Spectroscopic Model for Soluble Solid Content Predication of Apples by the Combined Use of Direct Standardization and Piecewise Direct Standar... by CHENG Ye, HUANG Haoran, WANG Ying, XIONG Zhixin

“…Therefore, the proposed DS-PDS algorithm leverages the advantages of DS and PDS, allowing successful transfer of the calibration model between the two portable spectrometers.…”
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ASSESSMENT OF THE EFFICACY OF DOSE RADIATION THERAPY REGIMENS FOR TREATING CANCER ACCORDING TO CRITERIA FOR EARLY TOXICITY OF RADIOTHERAPY by V. A. Lisin

“…Using this algorithm, the tumor regression patterns were found at various quantitative ratios between the radiosensitivities of the normal and tumor tissues. …”
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Short-term results of treatment of non-epithelial gastro-intestinal tumors complicated by bleeding by S. G. Shapovalyants, A. I. Mikhalev, Ye. D. Fedorov, R. V. Plakhov, L. M. Mikhaleva, Z. V. Galkova, Ye. V. Ivanova, A. E. Sergeyenko

“…Non-epithelial tumor of gut in 29,1% of patients are complicated by gastro-intestinal bleeding that is indication for surgical treatment. Proposed algorithm of diagnostics and treatment, that includes primary endoscopic hemostasis allows to avoid urgent intervention in 94,3% of patients and to execute it in the late stage, while in 22,8% to carry out noninvasive intraluminal surgery as a final treatment.…”
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Safety belt wearing detection for electric aloft work based on EPSA-YOLOv5 by LI Yongfu, CHEN Libin, HUI Junwei, YUAN Runcong, CHAI Haokai

“…To address the problem of missed detection and slow detection speed in safety belt wearing test for electric aloft work, this paper proposed a method for detecting the wearing of safety belts based on EPSA-YOLOv5 algorithm. This method was based on EPSANet backbone feature extraction network, which reduced the number of parameters in the network while maintaining good feature extraction performance, and speeding up the model recognition speed. …”
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Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving by Xiaohua Gu, Taifu Li, Zhiqiang Liao, Liping Yang, Ling Nie

“…It firstly employs the general regression neural network (GRNN) algorithm to obtain the best model of the beam pumping system, and secondly searches the optimal operation parameters with improved strength Pareto evolutionary algorithm (SPEA2). …”
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Minangkabau Language Stemming: A New Approach with Modified Enhanced Confix Stripping by Fadhli Almu'iini Ahda, Aji Prasetya Wibawa, Didik Dwi Prasetya, Danang Arbian Sulistyo, Andrew Nafalski

“…This study has three phases: data acquisition, pseudocode development, and algorithm execution. Testing revealed an average accuracy of 77.8%, indicating the algorithm's proficiency in managing Minangkabau’s intricate morphology. …”
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Computational methods for airspace sectorisation by I. V. Rubanov, M. Y. Kovalyov

“…In the first type algorithm, ready-made components of the final partition are formed in each node of the branch and bound tree. …”
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YOLO-NPK: A Lightweight Deep Network for Lettuce Nutrient Deficiency Classification Based on Improved YOLOv8 Nano by Jordane Sikati, Joseph Christian Nouaze

“…Several enhancements to the baseline algorithm are made, the backbone is replaced with VGG16 to improve the classification accuracy, and depthwise convolution is incorporated into it to enrich the features while keeping the head unchanged. …”
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Resource Allocation and Interference Coordination Strategies in Heterogeneous Dual-Layer Satellite Networks by Jinhong Li, Rong Chai, Tianyi Zhou, Chengchao Liang

“…We formulate a mathematical optimization problem to optimize resource allocation while minimizing co-channel interference and develop an ADMM-based distributed algorithm for efficient problem-solving. …”
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Prediction Model of Water Demand for Scouring Siltation in Coastal River Networks Based on APSO and SVM: A Case Study of Doulong Port by MA Zhutong, XIANG Long, YAN Ke

“…A predictive model of water demand for scouring siltation was constructed, which combined adaptive particle swarm optimization (APSO) algorithm with support vector machine (SVM) and optimized the model parameters of the SVM through the APSO algorithm, enhancing the prediction accuracy of the APSO-SVM model. …”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…The research optimizes the Speeded-Up Robust Features(SURF) detection algorithm by adjusting the Hessian matrix threshold to enhance sensitivity to low-contrast defects. …”
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