Computational Intelligence in Stochastic Reconstruction of Porous Microstructures for Image-Based Poro/Micro-Mechanical Modeling [0.03%]
基于图像的孔隙/微力学建模中随机重构多孔微观结构的计算智能
Jinlong Fu,Wei Tan,Dunhui Xiao et al.
Jinlong Fu et al.
Understanding microstructure-property relationships (MPRs) in random porous media is a fundamental challenge across numerous scientific and engineering disciplines. Image-based poro/micro-mechanical modeling offers a powerful noninvasive te...
A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities [0.03%]
基于数据驱动的计算机视觉方法在结构损伤评估中的最新进展综述：算法、应用、挑战与未来机遇
Xiao Pan,Tony T Y Yang,Jun Li et al.
Xiao Pan et al.
Computer vision techniques have gained great traction in civil infrastructure inspection and monitoring. This paper conducted a systematic review of recent data-driven computer vision algorithms in structural damage detection published duri...
A Scoping Review on Simulation-Based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps [0.03%]
基于仿真的船舶设计优化的综述：趋势、最佳实践及不足之处
Andrea Serani,Thomas P Scholcz,Valentina Vanzi
Andrea Serani
This scoping review assesses the current use of simulation-based design optimization (SBDO) in marine engineering, focusing on identifying research trends, methodologies, and application areas. Analyzing 277 studies from Scopus and Web of S...
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives [0.03%]
物理科学中的符号回归：人工智能趋势与展望
Dimitrios Angelis,Filippos Sofos,Theodoros E Karakasidis
Dimitrios Angelis
Symbolic regression (SR) is a machine learning-based regression method based on genetic programming principles that integrates techniques and processes from heterogeneous scientific fields and is capable of providing analytical equations pu...
Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides [0.03%]
基于机器学习的抗病毒肽预测模型的新进展
Farman Ali,Harish Kumar,Wajdi Alghamdi et al.
Farman Ali et al.
Viruses have killed and infected millions of people across the world. It causes several chronic diseases like COVID-19, HIV, and hepatitis. To cope with such diseases and virus infections, antiviral peptides (AVPs) have been applied in the ...
A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases [0.03%]
基于深度学习的传染病预测和预后方法综合分析
Kavita Thakur,Manjot Kaur,Yogesh Kumar
Kavita Thakur
Artificial intelligence is the most powerful and promising tool for the present analytic technologies. It can provide real-time insights into disease spread and predict new pandemic epicenters by processing massive amount of data. The main ...
A Structured Analysis to study the Role of Machine Learning and Deep Learning in The Healthcare Sector with Big Data Analytics [0.03%]
基于大数据分析的机器学习和深度学习在医疗行业的作用的结构化分析研究
Juli Kumari,Ela Kumar,Deepak Kumar
Juli Kumari
Machine and deep learning are used worldwide. Machine Learning (ML) and Deep Learning (DL) are playing an increasingly important role in the healthcare sector, particularly when combined with big data analytics. Some of the ways that ML and...
Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications [0.03%]
equilibrium优化算法的最新进展及其变种和应用
Rebika Rai,Krishna Gopal Dhal
Rebika Rai
There have been many algorithms created and introduced in the literature inspired by various events observable in nature, such as evolutionary phenomena, the actions of social creatures or agents, broad principles based on physical processe...
Buddhadev Sasmal,Abdelazim G Hussien,Arunita Das et al.
Buddhadev Sasmal et al.
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population-based NIOA that has demonstrated its effectiveness in the field o...
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review [0.03%]
非洲机器学习研究趋势：三十年回顾与文献计量分析综述
Absalom E Ezugwu,Olaide N Oyelade,Abiodun M Ikotun et al.
Absalom E Ezugwu et al.
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic models are employed in every field, such as natural language processing, pattern recognition, object detection, image recognition, earth observation and ma...