Few-shot Metro Track-wheel Image Segmentation Algorithm Based on Cross-attention Network by CAO Jianxin, ZHANG Yueying, JIANG Weihao, GAO Yunhao

“…Compared with current mainstream semantic segmentation algorithms, the proposed few-shot metro track-wheel image segmentation algorithm based on cross-attention networks demonstrates significantly improved segmentation performance and shows potential for practical application.…”
Get full text

Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

“…In order to achieve infrared aircraft detection under interference conditions, this paper proposes an infrared aircraft detection algorithm based on high-resolution feature-enhanced semantic segmentation network. …”
Get full text

A Novel Model for Accurate Daily Urban Gas Load Prediction Using Genetic Algorithms by Xi Chen, Feng Wang, Li Xu, Taiwu Xia, Minhao Wang, Gangping Chen, Longyu Chen, Jun Zhou

“…A multiple weather parameter–daily load prediction (MWP-DLP) model based on System Thermal Days (STD) was established, and the genetic algorithm was used to solve the model. The daily gas load in a city was predicted, and the results were analyzed. …”
Get full text

Synthesis of the Algorithm of the Vector Width-Pulse Modulation in a Nine-Phase Active Voltage Rectifier by S. V. Panteleev, A. N. Malashin, D. V. Karkotskiy, Yu. V. Suchodolov

“…The development of the vector pulse width modulation algorithm for the m-phase active voltage rectifier is considered, which will make it possible to match the shape and phase of the currents and voltages at the output of the m-phase generator in order to obtain the maximum active power of the module under study. …”
Get full text

Proposing a flood management solution based on optimal usage allocation via genetic algorithm by Davood Mokhtari, Aliakbar Rasouli, Monire Moosabeigi

“…In this regard, GIS capabilities could be applied as one of the novel scientific and technical methods along with taking the advantage of Artifcial intelligence capabilities, such as multi-objective genetic algorithm. This research aimed to model the land use allocation in GIS platform using NSGA-II algorithm to monitor flood crisis. …”
Get full text

CMIP6 multi-model ensemble projection of reference evapotranspiration using machine learning algorithms by Milad Nouri, Shadman Veysi

“…In this context, the current findings can assist decision-makers in identifying hotspots and quantifying CC impacts, thereby enabling the design of crucial adaptations.…”
Get full text

A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection by Ziyang Zhang, Yong’an Feng

“…Abstract Road crack detection presents critical challenges, including diverse defect patterns and complex anomaly characteristics. The current object detection algorithms demonstrate deficiencies in considering feature redundancy across channel-spatial dimensions, employ indiscriminate fusion strategies for multi-stage feature information, and particularly neglect the high-frequency characteristics inherent in crack features, leading to inefficient network performance and a loss of crucial information. …”
Get full text

A Feedback Analytic Algorithm for Maximal Solar Energy Harvesting of InP Stepped Nanocylinders by Dan Wu, Zhiyang Lu, Jing Tan, Tao Lin, Yajing Liu, Kai Wang

“…Along with numerical simulations, an effective and efficient algorithm is crucial to maximizing the optical field modulation and energy trapping capacity of nanostructures. …”
Get full text

Ensemble machine learning algorithm for anti-VEGF treatment efficacy prediction in diabetic macular edema by Yu Fang, Jianwei Lin, Peiwen Xie, Huishan Zhu, Tsz Kin Ng, Guihua Zhang

“…Abstract Background Diabetic macular edema (DME) is a leading cause of vision loss in diabetes, with variable responses to anti-vascular endothelial growth factor (anti-VEGF) therapy in DME patients. Current diagnosis relies on optical coherence tomography (OCT) imaging, but manual interpretation is limited. …”
Get full text

Resource allocation strategies and task scheduling algorithms for cloud computing: A systematic literature review by Kareem Awad Waleed, Zainol Ariffin Khairul Akram, Nazri Mohd Zakree Ahmad, Yassen Esam Taha

“…It evaluates popular algorithms designed to optimize key metrics such as energy consumption, resource utilization, cost reduction, makespan minimization, and performance satisfaction. …”
Get full text

Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…The methodology utilized in the current research comprised several phases to guarantee optimum results. …”
Get full text

Seismic Behavior of a Timber Structure Based on a Soft-Kill BESO Optimization Algorithm by Felipe Solis, Pablo F. Parra, Patricio Cendoya, Luis F. Gonzalez-Böhme, Francisco Quitral-Zapata, Ricardo Gallardo

“…The structure is a five-story glulam braced frame, designed following current Chilean standards. The structural configuration was obtained through a topology optimization process using a variation of a soft-kill BESO algorithm implemented in MATLAB R2015a, obtaining topologies with low structural redundancy. …”
Get full text

MSFA-YOLO: A Multi-Scale SAR Ship Detection Algorithm Based on Fused Attention by Zhao Liangjun, Ning Feng, Xi Yubin, Liang Gang, He Zhongliang, Zhang Yuanyang

“…Exhibiting superior performance to existing SAR ship detection models in terms of accuracy, the MSFA-YOLO algorithm represents a significant advancement, establishing itself as the current state-of-the-art algorithm in SAR ship detection.…”
Get full text

A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…This estimation is challenging due to computational complexity and the risk of optimization errors, which can hinder reliable performance predictions. The algorithms evaluated include the Crayfish Optimization Algorithm, the Golf Optimization Algorithm, the Coati Optimization Algorithm, the Crested Porcupine Optimizer, the Growth Optimizer, the Artificial Protozoa Optimizer, the Secretary Bird Optimization Algorithm, the Mother Optimization Algorithm, the Election Optimizer Algorithm, and the Technical and Vocational Education and Training-Based Optimizer. …”
Get full text

Algorithm for timing of delivery in placenta accreta spectrum: role of cervical length and number of antepartum bleeding by Mevlut Bucak, Mary Ellen Mangione, Sifa Turan, Ozhan Turan

“…This study aimed to evaluate whether a measurable algorithm based on these parameters could guide individualized delivery timing within this gestational range. …”
Get full text

A Multi-Agent Centralized Strategy Gradient Reinforcement Learning Algorithm Based on State Transition by Lei Sheng, Honghui Chen, Xiliang Chen

“…To mitigate non-stationarity and reliability assignment issues in multi-agent environments, a centralized critic network evaluates the current joint strategy. The proposed algorithm, NST-FACMAC, is evaluated alongside other multi-agent deterministic strategy algorithms in a continuous control simulation environment using a multi-agent ant robot. …”
Get full text

An Analytic Policy Gradient-Based Deep Reinforcement Learning Motion Cueing Algorithm for Driving Simulators by Xiaowei Huang, Xuhua Shi, Peiyao Wang, Hongzan Xu, Xiaojun Tang, Gaoran Zhang

“…Additionally, the proposed algorithm delivers quicker results and improved tracking performance across all prediction horizons, ultimately surpassing the current state-of-the-art MPC-MCA.…”
Get full text

A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment by Weihao Li, Jianhua Chen, Sijuan Chen, Peilin Li, Bing Zhang, Ming Wang, Ming Yang, Jipu Wang, Dejian Zhou, Junsen Yun

“…This study endeavors to bridge this gap through the following contributions: (1) A rigorous analysis and systematic categorization of application scenarios for equipment RUL prediction, elucidating their distinct characteristics and requirements. (2) A comprehensive summary and comparative evaluation of several AI algorithms deemed suitable for RUL prediction, delineating their respective strengths and limitations. (3) An in-depth comparative analysis of the applicability of AI algorithms across varying application contexts, informed by a nuanced understanding of different application scenarios and AI algorithm research. (4) An insightful discussion on the current challenges confronting AI-based RUL prediction technology, coupled with a forward-looking examination of its future prospects. …”
Get full text

A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank by Ana Torralbo, Jonathan M. Davitte, Damien C. Croteau-Chonka, Cai Ytsma, Chris Tomlinson, Natalie K. Fitzpatrick, Sheng-Chia Chung, Ghazaleh Fatemifar, Adrian S. Cortes, Tom G. Richardson, Matthew Barclay, Julia Carrasco-Zanini, Chris Finan, Harry Hemingway, Aroon D. Hingorani, Valerie Kuan, Claudia Langenberg, Georgios Lyratzopoulos, R. Thomas Lumbers, Maik Pietzner, Anoop D. Shah, Johan H. Thygesen, Natalie Zelenka, John C. Whittaker, Margaret G. Ehm, Spiros Denaxas

Get full text

Integrated transportation system planning with gravitational search algorithm approach based on fuzzy mutant controller by Alireza Hosseinzadeh Kashani, Seyed Ahmad Shayannia, Mohammad Mehdi Movahedi, Soheila Sardar

“…<p style="text-align: left;"><strong>Abstract:</strong></p> <p style="text-align: left;">Gravitational search algorithm is a newly emerging meta-heuristic algorithm. …”
Get full text