A Study on Vector-Based Processing and Texture Application Techniques for 3D Object Creation and Visualization by Donghwi Kang, Jeongyeon Kim, Jongchan Lee, Haeju Lee, Jihyeok Kim, Jungwon Byun

“…In particular, the proposed Wise Interpolated Texture (hereafter referred to as WIT) technique optimizes texture mapping and enhances visual quality. High-resolution Z-values were extracted using DEM data, and computational efficiency was improved by applying the constrained Delaunay triangulation algorithm. …”
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Enhancing E-Bike Efficiency with Intelligent Battery Temperature Control by Tiago Gândara, Adriano Figueiredo, José Santos, Tiago Silva

“…In contrast, this study integrates embedded thermal management algorithms into the e-bike’s motor controller, enabling temperature regulation through performance limitation. …”
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Semi-supervised multi-task learning based framework for power system security assessment by Muhy Eddin Za’ter, Amir Sajadi, Bri-Mathias Hodge

“…It uses semi-supervised multi-task learning and produces accurate, reliable, and topological aware assessment of system stability. The learning algorithm underlying the proposed framework integrates conditional masked encoders and employs multi-task learning for classification-aware feature representation, which improves the accuracy and scalability to larger systems. …”
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WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding by Weidong Zhao, Lin Zhu, Ming Wang, Xiliang Zhang, Jinming Zhang

“…Secondly, an improved TF-IDF algorithm is proposed to weight word vectors. The improved TF-IDF algorithm introduces LDA topic generation model to enhance the topic semantic information of TF-IDF values. …”
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Adaptive dynamic programming optimal tracking control of multi-UAVs based on zero-sum game by Shuaibin Guan, Xingjian Fu

“…To overcome the computational challenges of solving the HJI equation, a three-layer neural network structure comprising evaluation, execution, and disturbance networks is employed, integrated with the ADP algorithm to approximate the value function and optimize the control strategy iteratively. …”
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Sensitivity of biological sewage disposal efficiency functional to parameters of biogen concentration dynamics model by Е. S. Zhmenya, N. S. Buzalo

“…The analysis algorithm of the functional sensitivity to the parameters of the aquatic ecosystem model is obtained. …”
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Design and Implementation of Attention-Based CR System in the Context of Big Data by Zheyi Wang, Yanli Kuang, Xin Lyu

“…Therefore, an improved deep factor decomposition machine algorithm combining adaptive regularization and attention mechanisms is proposed, and big data components are integrated to enable the algorithm to support more data input types. …”
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Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents by Lida Barba, Nibaldo Rodríguez, Cecilia Montt

“…The coefficients of the first ANN are estimated through the particle swarm optimization (PSO) learning algorithm, while the coefficients of the second ANN are estimated with the resilient backpropagation (RPROP) learning algorithm. …”
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Key technologies of robotic arm motion control based on compound control and improved SCSO. by Kuo Hu

“…To meet the high-precision motion control demand, this study proposes a robotic arm motion control technology integrating composite control and an improved sandcat swarm optimization algorithm. …”
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Digital twin and contact analysis of ultra-long distance coiled tubing operation structures [version 2; peer review: 1 approved, 2 approved with reservations] by Wenlan Wei, Jiarui Cheng, Hao Qu, Maliang Wang, Wenyuan Wang

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OPTIMIZATION OF ASYMMETRIC BILATERAL COMPLEX FENESTRATION SYSTEMS IN STATE ELEMENTARY SCHOOL CLASSROOMS IN INDONESIA by Dhafira Ramadhani, Rizki Armanto Mangkuto, R. Triyogo, Atthaillah

“…Furthermore, the RBFOpt algorithm was used through Opossum to conduct optimization. …”
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Three-dimensional speckle-tracking imaging for the prognosis of childhood-onset systemic lupus erythematosus: a pilot study by Xiaoyuan Feng, Ping Zhou, Yan Ding, Jing Peng, Tao Wang

“…The comprehensive method, which integrates GLS with LVtw value using the logistic algorithm, achieves a balanced sensitivity and specificity of 81.4% and 94.1%, respectively. …”
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Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning by Steve Agius, Vincent Cassar, Caroline Magri, Wasiq Khan, Dhiya Al-Jumeily Obe, Godwin Caruana, Luke Topham

“…These enhancements underscore the value of incorporating clinical data to optimise predictions. …”
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Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

“…Regional cerebral gray matter (GM) volume may serve as a biomarker for such decline, but its predictive value in real-world driving contexts remains unclear.MethodsWe enrolled 94 cognitively healthy older drivers (45 males, 49 females; mean age 77.66 ± 3.67 years) who completed a standardized driving assessment using actual vehicles on a closed-circuit course. …”
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Optimizing intelligent reflecting surface assisted visible light communication networks under blockage and practical constraints using TLBO for IoT applications by Vipul Dixit, Ajit Kumar, Nishant Sharan, Shikha Pandey, Atul Kumar, Ram Sewak Singh

“…Additionally, detailed convergence analysis demonstrates that TLBO performs better than Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in terms of convergence speed, higher fitness value and lower sensitivity to initial conditions, making it most suitable for real-time IRS-VLC based IoT applications.…”
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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

“…Finally, unlike traditional approaches that use uniform feature weighting, our proposed variance adaptive AdaBoost (VA-AdaBoost) algorithm uniquely incorporates accelerometer signal variance to adaptively weight samples for feature training. …”
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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Finally, the Soft-NMS algorithm is adopted, which can effectively prevent high-density overlapping targets from being suppressed at one time and thus prevent the occurrence of missed detection. …”
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Longitudinal velocity control of autonomous driving based on extended state observer by Hongbo Gao, Hanqing Yang, Xiaoyu Zhang, Xiangyun Ren, Fenghua Liang, Ruidong Yan, Qingchao Liu, Mingmao Hu, Fang Zhang, Jiabing Gao, Siyu Bao, Keqiang Li, Deyi Li, Danwei Wang

“…To address this limitation, an enhanced car‐following algorithm utilising ADRC is proposed, which integrates the improved ESO with a feedback controller. …”
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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…A distinctive feature of the developed algorithm is the application of a use case recognition algorithm and the search for similar images contained in the base of use cases using the nearest neighbor method.…”
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Enhancing Precision in OLT Measurements and Improving Agreement in Surgical Decision-Making: A Comprehensive Evaluation Using WBCT and Distance Mapping for Preoperative Planning by Agustin Barbero MD, Ben Efrima MD, Jari Dahmen MD, Amit Benady MD PhD, Camilla Maccario MD, Cristian Indino MD, Gino M M.M.J. Kerkhoffs MD, PhD, Federico Giuseppe Usuelli MD

“…A secondary objective is to ascertain whether measurements obtained through DM, when integrated with a predefined treatment algorithm, can facilitate consensus among surgeons regarding the optimal surgical intervention Methods: This cohort comprised 36 patients with 40 OLTs evaluated using WBCT and DM. …”
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