Results 61 to 70 of about 73,502 (293)
Pareto Joint Inversion of 2D magnetometric and gravity data- synthetic study [PDF]
E3S Web of Conferences, 2019 Pareto joint inversion for two or more data sets is an attractive and promising tool which eliminates target functions weighing and scaling, providing a set of acceptable solutions composing a Pareto front.
Danek Tomasz +3 more
doaj +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Calibration of WetSpa model using NSGA-II and PSO multi-objective optimization algorithms [PDF]
مهندسی منابع آب, 2019 Conceptual rainfall-runoff (RR) models, aiming at predicting stream flow from the knowledge of precipitation over a catchment, evapotranspiration, tempreture, and topography of the basin, have become basic and effective tools for flow regime simulation ...
Hosein Ghalkhani +3 more
doaj
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Drug Delivery, 2020 Presently, a combination of chemotherapy, radiotherapy, thermotherapy, and other treatments has become a hot topic of research for the treatment of cancer, especially lung cancer.
Yan Shen +7 more
doaj +1 more source
, 2020 Schematic diagram of the changes in the significance of LSM factors in each prediction region based on the GWR-PSO-SVM coupled model.
Huachen Gao (8562048) +1 more
core +1 more source
AI &Innovation, EarlyView.ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
Mechanical Engineering Journal, 2015 This paper proposes the novel design of a positioning control system of a piezo-ceramic actuator. Piezo-ceramic actuators have been used extensively in many engineering applications which require high precision positioning. However, it is well known that
Dongbo LIU, Fumitake FUJII
doaj +1 more source
A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm [PDF]
, 2005 IEEE Congress on Evolutionary Computation. Edimburgo, 5 september 2005This paper shows the performance of the binary PSO algorithm as a classification system.
Galván, Inés M. +2 more
core +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT This article investigates the Soret–Dufour cross‐diffusion effects on radiation‐absorptive unsteady free‐convection of magnetized nanofluids (TiO2–water$$ {\mathrm{TiO}}_2\hbox{--} \mathrm{water} $$ and Cu–water$$ \mathrm{Cu}\hbox{--} \mathrm{water} $$) flow over a vertical moving permeable plate.
B. Prabhakar Reddy +2 more
wiley +1 more source