Generative Design-Driven Optimization for Effective Concrete Structural Systems by Hossam Wefki, Mona Salah, Emad Elbeltagi, Majed Alinizzi

“…The model automates and optimizes the layout process, yielding measurable improvements in spatial efficiency while maintaining compliance with structural performance criteria. …”
Get full text

Physical Property Prediction and Simulation Analysis of Hydrogen‐Doped Natural Gas Pipeline by Lianghui Guo, He Zhang, Ran Liu, Keke Zhi, Xinzhe Li

“…ABSTRACT Hydrogen‐doped natural gas, a blend of hydrogen and natural gas, has emerged as a promising candidate due to its potential to reduce greenhouse gas emissions and enhance energy efficiency. However, the physical properties and operational dynamics of hydrogen‐doped natural gas restrict the efficient operation of natural gas pipelines. …”
Get full text

Smooth UAV Path Planning Based on Composite-Energy-Minimizing Bézier Curves by Huanxin Cao, Zhanhe Du, Gang Hu, Yi Xu, Lanlan Zheng

“…The new method is simple and efficient, which can help to improve UAV path planning efficiency and thus improve UAV reaction speed and obstacle avoidance ability.…”
Get full text

Integrated MPPT and bidirectional DC DC converter with reduced switch multilevel inverters for electric vehicles applications by K. Dhineshkumar, N. Vengadachalam, Suresh Muthusamy, Baseem Khan

“…Moreover, the power conversion efficiency may not be optimized leading to lower energy output. …”
Get full text

Method for solving quantifier linear equations based on the algebra of linear predicate operations by Zoya Dudar, Volodymyr Liashyk

“…Conclusion: the proposed method expands the mathematical foundation for solving logical equations in computational environments, providing a powerful tool for intelligent systems and database optimization. The ability to formalize and process complex logical relationships contributes to improved decision-making accuracy and automation efficiency.…”
Get full text

Microalgae-based bioremediation of refractory pollutants: an approach towards environmental sustainability by Mostafa M. El-Sheekh, Hala Y. El-Kassas, Sameh S. Ali

“…Moreover, microalgae-based remediation is more environmentally sustainable for not generating additional waste sludge, capturing atmospheric CO2, and being efficient for nutrient recycling and sustainable algal biomass production for biofuels and high-value-added products generation. …”
Get full text

Improved High-Order Difference Scheme for the Conservation of Mass and Energy in the Two-Dimensional Spatial Fractional Schrödinger Equation by Junhong Tian, Hengfei Ding

“…In this paper, our primary objective is to develop a robust and efficient higher-order structure-preserving algorithm for the numerical solution of the two-dimensional nonlinear spatial fractional Schrödinger equation. …”
Get full text

Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…The efficient malware identification method developed can cope with the constantly evolving malware threats.…”
Get full text

Solution Plasma-Assisted Green Synthesis of MnO2 Adsorbent and Removal of Cationic Pollutant by Hye-min Kim, Nagahiro Saito, Dae-wook Kim

“…The obtained MnO2 exhibited effective dye removal ability given high C0, and simultaneously applied plasma discharging further enhanced removal efficiency. …”
Get full text

Hierarchical Vehicle Scheduling Research on Tide Bicycle-Sharing Traffic of Autonomous Transportation Systems by Mai Hao, Ming Cai, Minghui Fang, Shuxin Jin

“…As for extracting historical orders of Mobike in Beijing, an example analysis through the genetic algorithm of HATB is conducted to support effective and efficient scheduling. Compared to existing scheduling methods, HATB has faster convergence and lower time complexity, which improves bike turnaround efficiency and practical application ability, thus making it more convenient for the public to travel during peak hours.…”
Get full text

Soft Robotics: Engineering Flexible Automation for Complex Environments by Wai Yie Leong

“…Being different from traditional rigid robots, soft robots are engineered to adapt and operate efficiently in complex, unstructured environments, making them highly appropriate for applications that require delicate manipulation, safe human–robot interaction, and mobility on unstable terrain. …”
Get full text

Neighboring Algorithm for Visual Semantic Analysis toward GAN-Generated Pictures by Lu-Ming Zhang, Yichuan Sheng

“…Comprehensive experimental results have shown that our algorithm substantially improves the efficiency and accuracy of the natural evaluation of pictures generated by GAN. …”
Get full text

Investigating the contributors to hit-and-run crashes using gradient boosting decision trees. by Baorui Han, Haibo Huang, Gen Li, Chenming Jiang, Zhen Yang, Zhenjun Zhu

“…GBDT also demonstrates superior computational efficiency, with a LIFT value of 4.087, making it a more accurate and efficient model for predicting hit-and-run crashes compared to CART, Random Forest, and Logistic Regression. …”
Get full text

Training a Minesweeper Agent Using a Convolutional Neural Network by Wenbo Wang, Chengyou Lei

“…Although there is room for improvement in sample efficiency and training stability in the DQN model, its greater generalization ability makes it highly promising for application in more complex decision-making tasks.…”
Get full text

Brief memory reactivations enable generalization of offline visual perceptual learning mechanisms by Taly Kondat, Yuka Sasaki, Takeo Watanabe, Nitzan Censor

“…While traditionally, perceptual learning is attributed to practice-dependent plasticity mechanisms, recent studies suggest that brief memory reactivations can efficiently improve visual perception, recruiting higher-level brain regions. …”
Get full text

BLSF: Adaptive Learning for Small-Sample Medical Data With Broad Learning System Forest Integration by Dimas Chaerul Ekty Saputra, Khamron Sunat, Tri Ratnaningsih

“…The Broad Learning System Forest (BLSF) model proved to be the preeminent classifier across all assessed datasets, demonstrating outstanding performance and efficiency. In the dataset, BLSF attained an accuracy of 94.53%, markedly exceeding standard BLS at 84.32%, Fuzzy BLS at 79.88%, and Intuitionistic Fuzzy BLS, which obtained just 15.55%. …”
Get full text

Multi-UAV assisted air-to-ground data collection for ground sensors with unknown positions by Cheng Yiran, Dong Yangrui

“…Unmanned aerial vehicles (UAVs) are increasingly being employed in air-to-ground communication applications due to their lightweight design, high speed, and ability to utilize low-altitude resources. Utilizing UAVs for data collection from wireless ground sensors is an efficient, convenient, and cost-effective approach. …”
Get full text

Application of Improved YOLOv8 Image Model in Urban Manhole Cover Defect Management and Detection: Case Study by Yanqiong Ding, Baojiang Han, Hua Jiang, Hao Hu, Lei Xue, Jiasen Weng, Zhili Tang, Yuzhang Liu

“…We design a lightweight dual-stream feature extraction network and use EfficientNetV2 as the backbone. By introducing the fused MBConv structure, the computational complexity is significantly reduced, while the efficiency of feature extraction is improved. …”
Get full text

Advancing Mental Health Care: Intelligent Assessments and Automated Generation of Personalized Advice via M.I.N.I and RoBERTa by Yuezhong Wu, Huan Xie, Lin Gu, Rongrong Chen, Shanshan Chen, Fanglan Wang, Yiwen Liu, Lingjiao Chen, Jinsong Tang

“…Experimental results show that this application achieves a semantic-matching degree of 0.9 and an accuracy of 0.87, significantly improving assessment accuracy and the ability to generate personalized medical advice. This optimizes the allocation of medical resources, enhances diagnostic efficiency, and provides a reference for advancing mental health care through artificial-intelligence technology.…”
Get full text

The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. …”
Get full text