Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM by Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin

“…The model incorporates the Logistic‐Tent chaotic mapping optimization algorithm, which enhances global search capability, improves feature extraction, and increases detection efficiency and accuracy. …”
Get full text

Minimization of total costs for distribution systems with battery energy storage systems and renewable energy sources by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…The proposed solution by MCOA has demonstrated superiority over other methods through total cost savings of up to 24.13% and 27.46% in IEEE 123-bus UDS and 55-bus BDS, while the values are only 23.11% and 26.50% for salp swarm algorithm (SSA) and 23.76% and 26.78% for coyote optimization algorithm (COA), respectively, as compared to the original cases. …”
Get full text

Wireless Protocol-Based Control of Smart Electric Drive Using Sampled Time Secure Communication of Chaotic Systems by Nhat Quang Dang, Huyen Chau Phan Thi, Quang Dich Nguyen, van Nam Giap

“…To further enhance the control precision, a homogeneous super-twisting algorithm (HSTA)-based disturbance observer (DO) is introduced, effectively compensating for external perturbations and ensuring smooth operation. …”
Get full text

Diagnostic challenges of heart failure with preserved ejection fraction: focus on echocardiography by A. A. Ivanova, O. N. Dzhioeva, E. A. Lavrenova, E. A. Rogozhkina, O. M. Drapkina

“…Also, 9,7% of specialists conduct DST on their own, while 41,3% have the opportunity to refer patients.Conclusion. …”
Get full text

Mapping AI’s role in NSW governance: a socio-technical analysis of GenAI integration by Luis Lozano-Paredes

“…Through document analysis, actor-network mapping, and scenario analysis of potential breakdowns, the research reveals that while NSW has established comprehensive AI governance frameworks, significant gaps remain in addressing the unique challenges posed by GenAI systems. …”
Get full text

Furniture design based on cultural orientation: a thematic review by Wenhong Huang, Ahmad Rizal Abdul Rahman, Sarjit S. Gill, Raja Ahmad Azmeer Raja Ahmad Effendi

Get full text

A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs by Jan Kašpar, Francesco Mauro, Marco Biot, Giovanni Rognoni, Giada Kyaw Oo D’Amore

“…This study aims to develop an ad hoc optimization methodology that uses combined Computational Fluid Dynamics (CFD)–Finite Element Method (FEM) simulations, surrogate models, and Genetic Algorithms to optimize the acoustic properties of EGCSs while considering the limits imposed by the efficiency of chemical reactions for the abatement of NO_x and SO_x. …”
Get full text

A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

“…The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. …”
Get full text

Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization by Yuexing Cai, Cuiyin Huang, Fengqin Zheng, Guangtao Li, Sheng Lai, Liyun Zhu, Qiuyu Zhu

“…The framework integrated three supervised learning algorithms, namely XGBoost, Random Forest, and AdaBoost, along with feature selection techniques and an explainable method. …”
Get full text

A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…By incorporating the linear relationship and regularization techniques of ridge regression with the flexibility and adaptability of the SKRidge algorithm, the L-SKRidge model is able to capture complex patterns in the data while also preventing overfitting. …”
Get full text

Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…AFBO is evaluated using real-world trace-driven simulations and compared against benchmark multi-objective algorithms, including multi-objective particle swarm optimization (MOPSO), simulated annealing-based bi-objective differential evolution (SBDE), and the baseline Multi-Objective Firefly Algorithm (MOFA). …”
Get full text

Multi-Index Assessment of Surface Urban Heat Island (SUHI) Dynamics in Samsun Using Google Earth Engine by Yiğitalp Kara, Veli Yavuz, Anthony R. Lupo

“…The analysis utilized cloud-free Landsat 8 imagery sourced from the US Geological Survey via the Google Earth Engine platform, employing a one-year median for each pixel using a cloud masking algorithm. Land use and land cover (LULC) classification was conducted using the random forest (RF) algorithm with satellite composite imagery, achieving an overall accuracy of 85% for 2014 and 86% for 2023. …”
Get full text

Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems by Armin Mahmoodi, Leila Hashemi, Jeremy Laliberte, Richard C. Millar, Robert Walter Meyer

“…These integrations significantly decrease battery consumption in Remotely Piloted Aircraft Systems (RPAS) and lower transportation costs, while also optimizing delivery times, reducing operational risks, and minimizing CO2 emissions. …”
Get full text

SAR Images Change Detection Based on Attention Mechanism-Convolutional Wavelet Neural Network by Jiahui E, Lu Wang, Chunhui Zhao, P. Takis Mathiopoulos, Tomoaki Ohtsuki, Fumiyuki Adachi

“…Second, a two-stage Weighted Center Constrained Fuzzy C-Means clustering algorithm is proposed. To constrain incorrect migration in the subsequent clustering phase, the algorithm uses a two-stage clustering algorithm. …”
Get full text

Stronger compact representations of object trajectories by Adrián Gómez-Brandón, Gonzalo Navarro, José R. Paramá, Nieves R. Brisaboa, Travis Gagie

“…GraCT and ContaCT were the first compressed data structures to represent object trajectories, demonstrating that it was possible to use orders of magnitude less space than classical indexes while staying competitive in query times. In this paper we considerably enhance their space, query capabilities, and time performance with three contributions. (1) We design and evaluate algorithms for more sophisticated nearest neighbor queries, finding the trajectories closest to a given trajectory or to a given point during a time interval. (2) We modify the data structure used to sample the spatial positions of the objects along time. …”
Get full text

Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

Get full text

Exploration of the Mountainous Urban Rail Transit Resilience Under Extreme Rainfalls: A Case Study in Chongqing, China by Chenhui Liu, Xue Su, Zhichun Wu, Yingjun Zhang, Cuizhu Zhou, Xiangguo Wu, Yong Huang

“…Additionally, risk levels for landslide and flood-prone areas are classified using the K-means algorithm, based on rainfall, elevation, and slope data, identifying high-risk stations. …”
Get full text

Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism by Linfeng Xi, Jianping Wang, Anqi Liu, Yifei Ni, Jie Du, Qiang Huang, Yishan Li, Jing Wen, Hongyi Wang, Shuai Zhang, Yunxia Zhang, Zhu Zhang, Dingyi Wang, Wanmu Xie, Qian Gao, Yong Cheng, Zhenguo Zhai, Min Liu

Get full text

Performance Analysis of the Stilling Basin of the Taziz Al-Taziz Pumping Station in Al-Muthanna Governorate, Iraq by Arafh Fadhel Albayati, Riyadh Z. Azzubaidi

Get full text

Fractal-Based Robotic Trading Strategies Using Detrended Fluctuation Analysis and Fractional Derivatives: A Case Study in the Energy Market by Ekaterina Popovska, Galya Georgieva-Tsaneva

Get full text