Identifying Influential Nodes Based on Evidence Theory in Complex Network by Fu Tan, Xiaolong Chen, Rui Chen, Ruijie Wang, Chi Huang, Shimin Cai

Get full text

Early Failure Diagnosis of Scraper Conveyor Gearboxes Based on DS Evidence Theory and Multimodal Data Fusion by Long Feng, Zeyu Ding, Qiang Zhang, Feng Zhou, Jin Peng Su, Yang Wang, Xinye Liu, Yibing Yin

“…Through comparison, it is found that compared with the fusion methods, such as high‐dimensional variational self‐encoder, and single diagnosis methods, such as the Random Forest Algorithm, the method researched in this paper is more suitable for the early fault warning of the scraper conveyor gearbox of the well coal mine, and the experimental validation finds that the average accuracy rate of the early fault recognition can be up to 96.6%.…”
Get full text

Multiobjective optimization of a pressure maintaining ball valve structure based on RSM and NSGA-II by Pengyun Wen, Suling Wang, Jinbo Li, Kangxing Dong, Zhihui Ren, Yanchun Li, Ruyi Qu, Tingting Li

“…The Non-dominated Sorting Genetic Algorithm II (NSGA-II) was then applied for multi-objective optimization, yielding optimal parameters: $${D}_{5}$$ = 60 mm,  $${L}_{2}$$ = 37 mm, and  $${L}_{6}$$ = 35 mm, the corresponding values of  $${\upsigma }_{{\max}}$$  and S are 806.67 MPa and 11.02 mm, respectively. …”
Get full text

A Mixed-Integer Linear Programming Model for Addressing Efficient Flexible Flow Shop Scheduling Problem with Automatic Guided Vehicles Consideration by Dekun Wang, Hongxu Wu, Wengang Zheng, Yuhao Zhao, Guangdong Tian, Wenjie Wang, Dong Chen

Get full text

Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

“…The optimization method on the base of genetic algorithm (GA) is employed to minimize total life cycle costs while maintaining component reliability within acceptable thresholds. …”
Get full text

A Two-Tiered Bidirectional Atrous Spatial Pyramid Pooling-Based Semantic Segmentation Model for Landslide Classification Using Remote Sensing Images by G. NaliniPriya, E. Laxmi Lydia, Reem Alshenaifi, Radhika Kavuri, Mohamad Khairi Ishak

“…Effective landslide representation from great spatial resolution images is significant in numerous applications. Many research works and techniques have been advertised. …”
Get full text

Artificial intelligence in neuroimaging: Opportunities and ethical challenges by Neha Brahma, S. Vimal

“…The integration of artificial intelligence (AI) into neuroimaging represents a transformative shift in the diagnosis and treatment of neurodegenerative diseases. AI algorithms, particularly deep learning models, have demonstrated remarkable capabilities in analyzing complex neuroimaging data, leading to enhanced diagnostic accuracy and personalized treatment strategies. …”
Get full text

Exploring Advanced Methodologies for Hybrid Energy System Sizing through Artificial Intelligence Techniques: a comprehensive review by Walid Bensalmi, Ahmed Belhani, Abdellatif Bouzid-Daho

Get full text

A Double Resistive–Capacitive Approach for the Analysis of a Hybrid Battery–Ultracapacitor Integration Study by Adrian Chmielewski, Piotr Piórkowski, Krzysztof Bogdziński, Paweł Krawczyk, Jakub Lorencki, Artur Kopczyński, Jakub Możaryn, Ramon Costa-Castelló, Stepan Ozana

“…However, most existing research requires comprehensive modelling of HESS components under different operating conditions, hindering optimisation and real-world application. …”
Get full text

Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases by Brian K. Masinde, Caroline M. Gevaert, Michael H. Nagenborg, Marc J. C. van den Homberg, Jacopo Margutti, Inez Gortzak, Jaap A. Zevenbergen

Get full text

Construction of a predictive model for cognitive impairment among older adults in Northwest China by Yu Wang, Ni Wang, Yanjie Zhao, Xiaoyan Wang, Yuqin Nie, Liping Ding

“…We used random forest algorithms to select important features from potential predictors. …”
Get full text

Urgent Conservation Actions Are Needed for Qinling Lenok Brachymystax lenok tsinlingensis Li, 1966: Enlightenment From Model Simulations by Yuebing Zhou, Xianghong Dong, Tao Ju, Lei Gan, Zhenlu Wang, Yuxi Lian, Peng Zhang, Xiongfeng Bai, Qing Liu, Shuhai Zhang, Jiyuan Liu, Tao Xiang, Lei Shi, Haibo Jiang, Jian Shao, Miao An

Get full text

Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…The model successfully captures nonlinear and time-varying characteristics in concrete dam deformation processes, showing high consistency with measured deformation patterns and demonstrating excellent engineering practicality. This research provides new insights for deformation prediction in related hydraulic engineering projects and establishes a foundation for developing real-time early warning methods based on deformation prediction for dam safety management.…”
Get full text

Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from interpretable CNN model and proposed spectr... by Haimei Lei, Nisha Bao, Moli Yu, Yue Cao

Get full text

THE SOLUTION OF MULTIEXTREME PROBLEMS BY THE SWARM SHARING METHOD by Rudolf A. NEYDORF, Anna A. DEREVYANKINA

Get full text

COMPARE OF GENERATIONAL STRATEGY APPLICATION IN GOLDBERG AND HOLLAND MODELS FOR THE HOMOGENEOUS MINIMAX PROBLEM SOLUTION by Natalya Igorevna Trotsyuk, Valery Grigoryevich Kobak

Get full text

A clinical case of recurrent pain syndrome due to hiatal hernia, occurring under the guise of acute pancreatitis by A. A. Baulin, L. A. Aver'yanova, V. A. Baulin, O. A. Baulina, D. A. Kompaneytseva

“…After taking the patient to the dispensary and conducting an indepth diagnostic examination according to the algorithm developed by our group of researchers, gastroesophageal reflux disease, hernia of the esophageal orifice of the diaphragm was detected.Conclusion. …”
Get full text

Recognition of signs of Parkinson's disease based on the analysis of voice markers and motor activity by U. A. Vishniakou, Xia Yiwei

“…A Bayesian optimizer is also used to improve the hyperparameters of the KNN algorithm.Results. The KNN algorithm was used for speech recognition of patients, the test accuracy of 94.7% was achieved in the diagnosis of Parkinson's disease by voice change. …”
Get full text

Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Therefore, appropriate technologies are instantly required. Nowadays, researchers have begun to implement an image-processing model for analyzing jaundice. …”
Get full text

Optimizing travel costs of feeder-integrated public transport system: A methodology by Mysore Narasimhamurthy Sharath, Babak Mehran, Ahmed Ashraf, Susan Grant-Muller, Ed Manley

Get full text