REVEALING THE NOCTILUCENT CLOUD FIELDS STRUCTURE BY SOFTWARE PROCESSING OF SATELLITE IMAGES by beibut useinov, Andrei Solodovnik, Roman . Kleksin1, Pavel Leontyev, Beibut Useinov, Agniya Markova, Svetlana Kassimova

“…A significant part of the work is devoted to the describing of the algorithm for constructing the program, choosing a programming language and implementing the task. …”
Get full text

Data-driven automated job shop scheduling optimization considering AGV obstacle avoidance by Qi Tang, Huan Wang

“…To solve the model, we design an improved particle swarm algorithm combining genetic operators, crossover operators and elite retention operator. …”
Get full text

Information security of business networks by A. S. Losev

“…The study is based on the use of an original mathematical algorithm that allows clustering networks of arbitrary topology and constructing a partial order matrix. …”
Get full text

Rolling Bearing Fault Diagnosis Based on SCNN and Optimized HKELM by Yulin Wang, Xianjun Du

“…Subsequently, an HKELM classifier with multiple kernel functions was constructed. Key parameters of the HKELM were dynamically adjusted using a novel optimization algorithm, significantly enhancing fault diagnosis accuracy and system stability. …”
Get full text

Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…Building on this, the cost function is integrated with lateral offset and heading offset information, combined with the obstacle avoidance penalty function, and an anti-disturbance model predictive control scheme is constructed by solving the nonlinear constrained optimization problem online. …”
Get full text

Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…Building on this, the cost function is integrated with lateral offset and heading offset information, combined with the obstacle avoidance penalty function, and an anti-disturbance model predictive control scheme is constructed by solving the nonlinear constrained optimization problem online. …”
Get full text

EUS-based intratumoral and peritumoral machine learning radiomics analysis for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Shuangyang Mo, Shuangyang Mo, Nan Yi, Fengyan Qin, Huaying Zhao, Huaying Zhao, Yingwei Wang, Haiyan Qin, Haixiao Wei, Haixing Jiang, Shanyu Qin

“…Furthermore, a combined radiomic model integrating both intratumoral and peritumoral radiomic features was established and assessed based on the same machine learning algorithm. …”
Get full text

An Analysis of the Design and Kinematic Characteristics of an Octopedic Land–Air Bionic Robot by Jianwei Zhao, Jiaping Gao, Mingsong Bao, Hao Zhai, Xu Pei, Zheng Jiang

“…An advanced kinematic analysis and simulation techniques are combined with inverse kinematic algorithms and dynamic planning to achieve a typical ‘Step-Wise Octopedal Dynamic Coordination Gait’ and different gait planning and optimization. …”
Get full text

Optimal scheduling of BIES with multi-energy flow coupling based on deep RL by XIA Xuhua, YANG Jiandi, SHI Yongtao

“…Secondly， the state space， action space， and reward function for the operational dispatch strategy are designed using deep RL， and a low-carbon economic and optimal dispatch framework is constructed using the ​soft actor-critic （SAC） algorithm.​ …”
Get full text

Analysis of Spatial Landmarks for Seamless Urban Navigation of Visually Impaired People by Min Wang, Aurelie Dommes, Valerie Renaudin, Ni Zhu

“…Geometric constraints were developed for each landmark to prepare their integration into map-matching or path-planning algorithms. …”
Get full text

An enhanced YOLOv8 model for accurate detection of solid floating waste by Juxing Di, Kaikai Xi, Yang Yang

“…Experimental results in a self-constructed floating waste dataset demonstrate that, compared to baseline YOLOv8s, the ES-YOLOv8 algorithm improves mAP@0.5 and mAP@0.5:0.95 by 5.4% and 6.1%, respectively. …”
Get full text

Rapid Resilience Assessment and Weak Link Analysis of Power Systems Considering Uncertainties of Typhoon by Wenqing Ma, Xiaofu Xiong, Jian Wang

“…The secure operation of the renewable-integrated power system is affected by extreme weather conditions such as typhoons. …”
Get full text

Systematic Review on the Use of CCPM in Project Management: Empirical Applications and Trends by Adriano de Oliveira Martins, Vanderlei Giovani Benetti, Fernando Elemar Vicente dos Anjos, Débora Oliveira da Silva, Charles Jefferson Rodrigues Alves

“…A growing trend has been identified toward integrating CCPM with methodologies, such as Scrum, BIM, Lean Construction, Fuzzy FMEA, and predictive algorithms, thereby broadening its applicability in high-complexity scenarios. …”
Get full text

Control optimization for permanent magnet synchronous generators in multi-source power systems by LI Lingyun, LIU Weizhi, WANG Yongxiang, LIU Yang

“…Additionally, three voltage controller models—proportional-integral (PI), fractional-order super-twisting sliding mode, and fuzzy fractional-order super-twisting sliding mode—were constructed using MATLAB/Simulink for comparative analysis and verification through simulations. …”
Get full text

Harnessing multi-omics and artificial intelligence: revolutionizing prognosis and treatment in hepatocellular carcinoma by Zhen Wang, Zhen Wang, Zhen Wang, Gangchen Zhou, Gangchen Zhou, Rongchuan Cao, Rongchuan Cao, Guolin Zhang, Guolin Zhang, Yongxu Zhang, Yongxu Zhang, Mingyue Xiao, Longbi Liu, Longbi Liu, Xuesong Zhang

“…To identify distinct molecular subtypes, a multi-omics data integration approach was employed, utilizing 10 distinct clustering algorithms. …”
Get full text

Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches by Wenjie Han, Wenjie Han, Yuhang Zhou, Yuhang Zhou, Yiwen Wang, Yiwen Wang, Xiaolin Liu, Tao Sun, Tao Sun, Junnan Xu, Junnan Xu, Junnan Xu

“…Among eight machine learning algorithms evaluated, the optimal model was selected to construct a predictive framework for immunotherapy response.ResultsMicrobial α-diversity was significantly elevated in responders compared to non-responders, with antibiotic administration further amplifying this difference—most notably at the species level. …”
Get full text

Faster? Softer? Or More Formal? A Study on the Methods of Enterprises’ Crisis Response on Social Media by Yongtian Yu, Weiming Ye, Kaihang Zhang

“…Algorithmic recommendation mechanisms of social media platforms, viral diffusion of user-generated content (UGC), and real-time public opinion pressures are fundamentally deconstructing the traditional corporate crisis response paradigm that used to rely on one-way statements and delayed reactions. …”
Get full text

Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…In contrast to traditional teaching quality assessment methods, which often lack rigor and comprehensiveness, this study introduces a precise and thorough evaluation framework. By integrating deep learning algorithms, the study seeks to improve the objectivity and accuracy of evaluations, facilitate personalized feedback, and foster innovation in teaching methodologies. …”
Get full text

Benefits of Urban Parks in Different Land Uses by Wei-Ting Chen, Sheng-Jung Ou

“…In previous studies, algorithms were developed to select appropriate locations for parks with distinctive green patches. …”
Get full text

Electric Vehicle Charging Demand Prediction Model Based on Spatiotemporal Attention Mechanism by Yang Chen, Zeyang Tang, Yibo Cui, Wei Rao, Yiwen Li

“…Subsequently, the FastDTW algorithm is employed to construct an adjacency matrix, capturing the spatiotemporal correlation among different urban regions. …”
Get full text