Results 51 to 60 of about 779,800 (277)
Research Progress of Oilfield Development Index Prediction Based on Artificial Neural Networks
Energies, 2021 Accurately predicting oilfield development indicators (such as oil production, liquid production, current formation pressure, water cut, oil production rate, recovery rate, cost, profit, etc.) is to realize the rational and scientific development of ...
Chenglong Chen +10 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Application of ANN in Milling Process: A Review
Modelling and Simulation in Engineering, 2011 In recent years the trends were towards modeling of machining using artificial intelligence. ANN is considered one of the important methods of artificial intelligence in the modeling of nonlinear problems like machining processes.
Salah Al-Zubaidi +2 more
doaj +1 more source
Training Artificial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks
AI, 2023 Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc.
Ioannis G. Tsoulos, Alexandros Tzallas
doaj +1 more source
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Advanced Engineering Materials, EarlyView.Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source
Bionic Artificial Neural Networks in Medical Image Analysis
Biomimetics, 2023 Bionic artificial neural networks (BANNs) are a type of artificial neural network (ANN) [...]
Shuihua Wang, Huiling Chen, Yudong Zhang
doaj +1 more source
Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions
Advanced Engineering Materials, EarlyView.This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley +1 more source
Optimization the initial weights of artificial neural networks via genetic algorithm applied to hip bone fracture prediction [PDF]
, 2012 This paper aims to find the optimal set of initial weights to enhance the accuracy of artificial neural networks (ANNs) by using genetic algorithms (GA).
Abbod, MF +3 more
core +3 more sources
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Diabetes Prediction Using Artificial Neural Network [PDF]
, 2018 Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method
Abu-Naser, Samy S. +1 more
core +3 more sources