Research and Construction of Knowledge Map of Golden Pomfret Based on LA-CANER Model by Xiaohong Peng, Hongbin Jiang, Jing Chen, Mingxin Liu, Xiao Chen

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Regression-Based Networked Virtual Buoy Model for Offshore Wave Height Prediction by Eleonora M. Tronci, Matteo Vitale, Therese Patrosio, Thomas Søndergaard, Babak Moaveni, Usman Khan

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Landscape connectivity significantly influences the spatial spillover effects of soil erosion: Based on examples from typical karst watersheds by Jiao Pan, Feiyang Cai, Zhenhong Yi, Wanquan Zhang, Bin Yan, Chaoyang Xue, Benjin Yu, Rui Li

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Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway by Shihori Tanabe, Sabina Quader, Ryuichi Ono, Hiroyoshi Y. Tanaka, Akihisa Yamamoto, Motohiro Kojima, Edward J. Perkins, Horacio Cabral

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Global stability and uniform persistence of the reaction-convection-diffusion cholera epidemic model by Kazuo Yamazaki, Xueying Wang

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A Differential Evolution Algorithm-Based Traffic Control Model for Signalized Intersections by Ziya Cakici, Yetis Sazi Murat

“…Sustainable management of traffic flows at signalized intersections is an important issue in terms of traffic engineering. The minimization of lost time, emission, fuel consumption, etc., can be achieved by optimization-based intersection management. …”
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Monitoring Optimisation of a Retrofitted Hydrogen Pipeline Using Markov State Model by Giulia Collina, Alessandro Campari, Jørn Vatn, Marta Bucelli

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Research on Calculation Method of Rain Load on Structures Based on Discrete Particle Model by Hongjie Ling, Zhidong Wang, Shuai An, Guohuai Sun, Yangyue Yan

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Modelling and experimental investigation of waste tyre pyrolysis process in a laboratory reactor by Rudniak Leszek, Machniewski Piotr M.

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Simulation of Quantity and Quality of Saq Aquifer Using Artificial Intelligence and Hydraulic Models by Abdul Razzaq Ghumman, Ghufran Ahmed Pasha, Md. Shafiquzzaman, Afaq Ahmad, Afzal Ahmed, Riaz Akhtar Khan, Rashid Farooq

“…Five types of ANN models with various training functions have been investigated to find the most efficient training function for the prediction of quantity and quality of groundwater, which is an original contribution useful for engineering sector. …”
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Global context-aware attention model for weakly-supervised temporal action localization by Weina Fu, Wenxiang Zhang, Jing Long, Gautam Srivastava, Shuai Liu

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Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…This design ensures robust feature extraction capabilities while simultaneously reducing the model’s parameters and computational complexity. The MobileViT model within our feature extraction network is engineered to concurrently learn local and global semantic information. …”
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Study on the Optimal Construction Time of Adjacent Pile Foundation Considering the Thermal Stability of the Existing Pile Foundation by Xiangyang Shi, Yunxing Wang, Ziqiang Zhou, Long Huang

“…The findings of this study provide valuable insights for pile engineering practices to mitigate issues caused by permafrost degradation.…”
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Branch Drift: A Visually Explainable Metric for Consistency Monitoring in Collaborative Software Development by Karl Kegel, Sebastian Gotz, Uwe Assmann

“…This work transfers the drift metric for inconsistency analysis from model-driven software engineering to branch-based software development. …”
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Coupled experimental assessment and machine learning prediction of mechanical integrity of MICP and cement paste as underground plugging materials by Oladoyin Kolawole, Rayan H. Assaad, Matthew P. Adams, Mary C. Ngoma, Alexander Anya, Ghiwa Assaf

“…This study provides insights into the potential of MICP and OWC as near-wellbore cementitious materials and the applicability of ML model for evaluating and predicting the mechanical integrity of cementitious materials used in near-wellbore to achieve efficient geo-hazard mitigation and environmental protection in engineering and underground operations.…”
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MODELLING FLUCTUATIONS OF GROUNDWATER LEVEL USING MACHINE LEARNING ALGORITHMS IN THE SOKOTO BASIN by Samson Alfa, Haruna Garba, Augustine Odeh

“…This included removing null values, interpolating missing data and downsampling to weekly intervals engineering to improve model performance. Time series decomposition and the creation of lag features were also utilized to capture temporal dependencies effectively. …”
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Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

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Optimizing Deep Learning Models for Resource‐Constrained Environments With Cluster‐Quantized Knowledge Distillation by Niaz Ashraf Khan, A. M. Saadman Rafat

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World model-based end-to-end scene generation for accident anticipation in autonomous driving by Yanchen Guan, Haicheng Liao, Chengyue Wang, Xingcheng Liu, Jiaxun Zhang, Zhenning Li

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Research on state monitoring and diagnosis models for multi-state systems based on Petri nets by Haohao Liu, Jinping Qi, Hong Feng, Mengxing Fan

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