An Empirical Comparison of Urban Road Travel Time Prediction Methods—Deep Learning, Ensemble Strategies and Performance Evaluation by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…This study compares the predictive performance of deep learning methods with traditional shallow learning methods for urban road travel time prediction, and explores the potential for improving prediction effectiveness through multi-run training strategies for hyperparameter optimization and ensemble learning. …”
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Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms by Guanghe Han, Jiahui Xu, Xin Zhang, Xin Pan

“…This study calculates the carbon emissions of state farms across 29 Chinese provinces using the IPCC method from 2010 to 2022. It also evaluates emission efficiency with the Super-Slack-Based Measure (Super-SBM model) and analyzes influencing factors using the Logarithmic Mean Divisia Index (LMDI) method. …”
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The Main Trends in Improving the Activities of a Higher Educational Institution in the Context of Digital Transformation by I. E Zhukovskaya

“…In this publication, an analysis of literary and Internet sources on the problem of optimizing educational, pedagogic and scientific activities in a higher educational institution is carried out on the basis of improving the digital infrastructure, as well as the methods and forms of education. …”
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Physicochemical and Functional Properties of Yanbian Cattle Bone Gelatin Extracted Using Acid, Alkaline, and Enzymatic Hydrolysis Methods by Song Zhang, Duanduan Zhao, Lu Yin, Ruixuan Wang, Zhiyan Jin, Hongyan Xu, Guangjun Xia

“…Yanbian cattle bone gelatin shows promise as an alternative source for halal gelatin production. This study also provides insights into optimizing gelatin production to enhance its functionality and sustainability.…”
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Efficiency of Bacteriophage-Based Detection Methods for Non-Typhoidal <i>Salmonella</i> in Foods: A Systematic Review by Preeda Phothaworn, Chatruthai Meethai, Wanchat Sirisarn, Janet Yakubu Nale

“…This organic phage/bacterial interaction provides an invaluable tool that can potentially replace or complement existing <i>S. enterica</i> detection methods. Here, we explored work in this area and reviewed data from PubMed/MEDLINE, Embase, and ScienceDirect up to 4 November 2024. …”
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Comparing Acid and Enzymatic Hydrolysis Methods for Cellulose Nanocrystals (CNCs) Obtention from Agroindustrial Rice Husk Waste by Ricardo Hernández Pérez, René Salgado Delgado, Alfredo Olarte Paredes, Areli Salgado Delgado, Edgar García Hernández, Atenas Medrano Valis, Fryda Martínez Candia

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The MyGuide Web-Based Self-Management Tool for Concussion Rehabilitation: Mixed Methods Cross-Sectional Study by Alyssa Turcott, Ruthine Kang, Christopher Yao, Colleen O'Melinn, Patricia Mahoney, Susan Barlow, Julia Schmidt

“…ObjectiveThis study aimed to investigate the perceptions and acceptance of clinicians and adults with concussions using MyGuide Concussion (Vancouver Coastal Health), a web-based concussion self-management tool. MethodsUsing a mixed methods sequential explanatory design, a convenience sample of 8 adults with concussions and 8 clinicians who used MyGuide Concussion over a 2-year period were interviewed, and their responses were analyzed. …”
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A reinforcement learning based real-time energy management method for mobile microgrid considering photovoltaic uncertainty by Huasong Fang, Huayue Zhang, Shuli Wen, Zhong Li, Zhilin Zeng, Miao Zhu, Pengfeng Lin

“…To address this issue, this paper proposes a real-time energy management optimization method based on reinforcement learning, specifically tailored to handle PV uncertainty and dynamic load variations during navigation. …”
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Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

“…Controller parameters are fine‐tuned using a novel metaheuristic method called the Skill Optimization Algorithm (SOA). …”
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Using Coil-Wire Method to Improve Heat Transfer Characteristics in Pipe Flow: A Mini Review Study by Sarmad A. Ali Sciences

“…An improved technique in the field of heat transfer serves as a research task and is classified as an active, passive, and large-scale composite technique. Active methods need an external power source for the input process and do not need an additional power source or power to improve heat transfer. …”
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Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines by Xiaoming Yu, Jun Wang, Ke Zhang, Zhijun Chen, Ming Tong, Sibo Sun, Jiapeng Shen, Li Zhang, Chuyang Wang

“…Future research will explore dynamic weight optimization and extend the framework to multi-source heterogeneous data applications.…”
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Optimal cascade 2DOF fractional order master-slave controller design for LFC of hybrid microgrid systems with EV charging technology by Amira Hassan, Mohamed M. Aly, Ali Selim, Ahmed Elmelegi, A.O. Aldhaibani, Emad A. Mohamed

“…For instance, the MPA method has a minimized ITAE after 30 iterations of 0.027 compared to 0.0276 with MRFO, 0.0282 with ABC, and 0.034 with PSO optimizer. …”
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A Low-Frequency Oscillation Identification Method for Power System Based on Adaptive Generalized S-Transform with Bat Algorithm by Miao Yu, Jingjing Wei, Shuoshuo Tian, Jianqun Sun, Yixiao Wu, Shouzhi Zhang, Jingxuan Hu

“…The complexity of the interconnected grid and the continuous increase of new energy sources have led to an acute problem with low-frequency oscillation (LFO) in power system. …”
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An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model by Xiaofei Yang, Qiao Li, Honghui Li, Hao Zhou, Jinyan Zhang, Xueliang Fu

“…The CDE-EHO method optimizes the GBM model, achieving maximum accuracy, according to the testing results. …”
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Sourcing efficacy – The role of supportive intelligence by Aleksandar Erceg, Santhosh Joseph

“…Companies must prioritize planning, education and organizational alignment for further development and optimization of these tools. With this, it is possible to fully realize the possibilities that integrating AI and ML into FBN can bring to the transformation of sourcing processes and the company’s competitiveness.…”
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Assessing wetland ecological quality and protection effectiveness in the Qilihai Wetland using long-term multi-source remote sensing data by Cong Shen, Yaqin Fang, Shaoyi Wang, Zixiao Liu, Xiaobin Cai, Liqiao Tian

“…In this study, multi-source remote sensing data were used to evaluate the ecological quality and protection effectiveness in the Qilihai Wetland in China. …”
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AdvFaceGAN: a face dual-identity impersonation attack method based on generative adversarial networks by Hong Huang, Yang Yang, Yunfei Wang

“…Innovatively, we incorporate source identity loss into the identity loss calculation, discovering that minor reductions in target identity similarity can be traded for significant improvements in source identity similarity, thus making the adversarial faces generated by our method highly similar to both the source identity and the target identity, addressing limitations in existing impersonation attack methods. …”
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Pit Collapse Risk Fusion Early-Warning Method Based on Machine Learning and Improved Cloud Dempster–Shafer by Jiajia Zeng, Bo Wu, Cong Liu

“…A high-accuracy metro pit collapse risk fusion early-warning method is proposed in present study. The main contributions include (1) presenting a new input to the fusion model by optimizing the machine learning model through a multi-step rolling method, and then using the basic probability assignment values obtained from the cloud model as input to the fusion model and (2) developing an improved methodology to address the paradoxical results of the fusion of traditional Dempster–Shafer evidence theory when there is a high level of conflict in multi-source risk prediction data. …”
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A Geomechanical Modeling Method for Shale Oil Reservoir Cluster Well Area Based on GridSearchCV by HUANG Lei, QI Yin, CHEN Weihua, DU Xianfei, MA Bing, TANG Jizhou

“…This study is a rapid and efficient geomechanical modeling method to optimize the data required for fracturing site operations.…”
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A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks by Xiping Ma, Wenxi Zhen, Haodong Ren, Guangru Zhang, Kai Zhang, Haiying Dong

“…To address the issues arising from the integration of a high proportion of distributed generation (DG) into the distribution network, which has led to the transition from traditional single-source to multi-source distribution systems, resulting in increased complexity of the distribution network topology and difficulties in fault localization, this paper proposes a fault localization method based on graph convolutional networks (GCNs) for distribution networks with a high proportion of distributed generation. …”
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