Analysis of sustainable spatial structure of cities under the framework of “Economy-Society- Environment”: A case study Beijing-Tianjin-Hebei urban agglomeration by Haonan Chen, Zhi Li, Xiaoning Cui, Mengchao Zhao, Yu Shi, Haiying Lin, Tianqi Zhu

“…Furthermore, employing the Random Forest algorithm, this study quantifies the influence of the ESE framework on urban sustainable development. …”
Get full text

LEGAL SUPPORT OF SOCIO-ECONOMIC DEVELOPMENT MODEL GENESIS IN POST-INDUSTRIAL SOCIETY by V. Ortynskyi, М. Tsymbaliuk, V. Hobela, М. Kashchuk

“…The purpose of the study was to generate legal support of the socio-economic development model genesis in post-industrial society. Fulfillment the research purpose requires solving several problems. …”
Get full text

Electric Vehicle Charging Station Planning Method Based on System Dynamics Prediction by YANG Nan, LIANG Pengcheng, HUANG Yuehua, ZHANG Lei, GE Zhichao, LI Huangqiang, XIN Peizhe, SHEN Ran

Get full text

Two Decades of Coastal Development across the Arabian Gulf: Insights from Remote Sensing and Machine Learning by B. Dahy, R. Sousa, M. Sultan, J. A. Burt

“…Using Landsat imagery, classified with a high-accuracy Random Forest algorithm, the results show that urban areas expanded by 55.3% regionally, from 6,369.4 km² to 9,888.1 km², primarily due to large-scale infrastructure projects in key coastal urban centers. …”
Get full text

Targeting childhood loneliness in china: in silico interventions and moderated network analysis by Xinle Yu, Xuanzhi Zhang, Kusheng Wu, Zhenqiang Xu, Zhiya Liang, Wanyi Wen, Dinghui Wang, Yanhong Huang

“…Abstract Background Childhood loneliness is a significant public health concern, particularly in China due to distinct sociocultural contexts. Prior research often overlooks symptom-level interactions, limiting the precision of targeted interventions. …”
Get full text

Application of Categorical Boosting to Modelling the Friction Behaviour of DC05 Steel Sheets in Strip Drawing Test by Marek Szewczyk, Krzysztof Szwajka, Sherwan Mohammed Najm, Salwa O Mohammed

“…This work utilises the Categoric Boosting (CatBoost) machine learning algorithm created by Yandex to estimate the COF and surface roughness, intending to conduct a comprehensive investigation of process parameters. …”
Get full text

Evaluating end-to-end autonomous driving architectures: a proximal policy optimization approach in simulated environments by Ângelo Morgado, Kaoru Ota, Mianxiong Dong, Nuno Pombo

“…The study uses the Proximal Policy Optimization (PPO) algorithm within the CARLA simulation environment. …”
Get full text

Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The BP neural network algorithm adjusts weights to minimize prediction errors, while multi-scale feature learning captures the diversity and regularity of user behavior by extracting data from various time dimensions, such as daily, weekly, and monthly intervals. …”
Get full text

Optimized physics-informed neural networks for deciphering of external source pollutants in a swirling flow induced by a constant torsional motion by Shridhar M, Umair Khan, Rahul Makwana, Ankur Kulshreshta, N.B. Naduvinamani

Get full text

Design and Practical Evaluation of Robust Model Predictive Wind Turbine Control by Andreas Klein, Thorben Wintermeyer‐Kallen, János Zierath, Kevin Kluge, Dirk Abel, Heike Vallery, Maximilian Basler

“…We evaluate the proposed control algorithm in terms of time‐domain performance and power curve in simulation. …”
Get full text

Impact of Saharan Dust Intrusions on Atmospheric Boundary Layer Height over Madrid by Francisco Molero, Pedro Salvador, Manuel Pujadas

“…Advanced methods, such as the recently developed STRATfinder algorithm, are required to estimate the ABL height in the presence of residual layers. …”
Get full text

Green synthesis of self-oriented flower-like Ag@Ag2O nanostructures functionalized with L-Tryptophan for colorimetric simultaneous determination of ultra-trace level of thiamin and... by Maryam Abbasi Tarighat, Zahra Khosravani, Gholamreza Abdi

Get full text

Strategies and Challenges in Detecting XSS Vulnerabilities Using an Innovative Cookie Collector by Germán Rodríguez-Galán, Eduardo Benavides-Astudillo, Daniel Nuñez-Agurto, Pablo Puente-Ponce, Sonia Cárdenas-Delgado, Mauricio Loachamín-Valencia

“…Additionally, clustering algorithms enabled user segmentation based on cookie data, identification of behavioral patterns, enhanced personalized web recommendations, and browsing experience optimization. …”
Get full text

A zenith wet delay improved model in China based on GPT3 and random forest by Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu

“…Zenith wet delay (ZWD) is a key parameter for the precise positioning of global navigation satellite systems (GNSS) and occupies a central role in meteorological research. Currently, most models only consider the periodic variability of the ZWD, neglecting the effect of nonlinear factors on the ZWD estimation. …”
Get full text

Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System by Kumuthawathe Ananda-Rao, Steven Taniselass, Afifah Shuhada Rosmi, Aimi Salihah Abdul Nasir, Nor Hanisah Baharudin, Indra Nisja

“…The system is modeled and simulated using MATLAB/Simulink, incorporating the PV system, MPPT algorithm, and models for the PV module and boost converter. …”
Get full text

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence by Emrah Aslan, Yildirim Ozupak, Feyyaz Alpsalaz, Zakaria M. S. Elbarbary

“…The proposed hybrid model combines the LightGBM algorithm with GridSearch optimization to achieve both high predictive accuracy and computational efficiency. …”
Get full text

Cryptographic hardness assumptions identification based on discrete wavelet transform by Ke Yuan, Yu Du, Yizheng Liu, Rongjin Feng, Bowen Xu, Gaojuan Fan, Chunfu Jia

“…Abstract Cryptanalysts can use appropriate attack strategies to attempt decryption by accurately identifying the cryptographic hardness assumption underlying ciphertexts or digital signatures. Existing research on ciphertext identification has primarily focused on identifying the encryption algorithms used to generate ciphertexts, with little attention paid to determining the underlying cryptographic hardness assumptions of cryptosystems. …”
Get full text

Real-World Application of Digital Morphology Analyzers: Practical Issues and Challenges in Clinical Laboratories by Hanah Kim, Mina Hur, Giuseppe d’Onofrio, Gina Zini

“…However, recognizing rare and dysplastic cells remains challenging due to variable algorithmic performances, which affect diagnostic reliability. …”
Get full text

An enhanced machine vision system for smart poultry farms using deep learning by P. Natho, S. Boonying, P. Bonguleaum, N. Tantidontanet, L. Chamuthai

“…To address all these problems, a sophisticated machine vision system using deep learning is suggested, in which the YOLOv11 algorithm has been used to monitor and manage poultry automatically. …”
Get full text

Parameter estimation of submarine power cables in offshore applications using machine learning-based methods by Felipe P. de Albuquerque, Rafael Nascimento, Gabriel de Castro Biage, Rooney R.A. Coelho, Ronaldo F. Ribeiro Pereira, Eduardo C. Marques da Costa, Mario L. Pereira Filho, Cassio G. Lopes, José R. Cardoso

“…Remarkably, the proposed algorithm achieves accurate parameter estimation even under elevated noise conditions, requiring as few as 200 training samples. …”
Get full text