Results 31 to 40 of about 49,842 (269)

Development of Hybrid Intelligent Models for Prediction Machining Performance Measure in End Milling of Ti6Al4V Alloy with PVD Coated Tool under Dry Cutting Conditions

Lubricants, 2022
Ti6Al4V alloy is widely used in aerospace and medical applications. It is classified as a difficult to machine material due to its low thermal conductivity and high chemical reactivity.
Salah Al-Zubaidi, Jaharah A.Ghani, Che Hassan Che Haron, M. N. Mohammed, Adnan Naji Jameel Al-Tamimi, Samaher M.Sarhan, Mohd Shukor Salleh, M. Abdulrazaq, Oday I. Abdullah   +8 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods

Reviews in Analytical Chemistry, 2011
The simultaneous spectral prediction of levamisole (LEV) and triclabendazole (TRI) in combined veterinary formulation was performed by the new chemometric methods, artificial neural network (ANN) and principal component analysis-artificial neural network
Dinç Erdal, Baleanu Dumitru, Köktaş Nigar Şen   +2 more
doaj   +1 more source

ESTIMATING Of CO2 CONVERSION IN FALLING FILM REACTOR USING ARTIFICIAL NEURAL NETWORK

Diyala Journal of Engineering Sciences, 2008
This paper presents the development of Artificial Neural Network (ANN) model for absorption process of CO2 gas using monoethanolamine (MEA) as a solvent in a falling film reactor.
Ahmed Wiheeb
doaj   +1 more source

Estimating scour below inverted siphon structures using stochastic and soft computing approaches [PDF]

Journal of Artificial Intelligence and Data Mining, 2017
This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures.
M. Fatahi, B. Lashkar-Ara
doaj   +1 more source

Artificial intelligent applications for estimating flow network reliability

Ain Shams Engineering Journal, 2023
Artificial intelligence (AI), often known as machine learning, is a powerful tool for solving engineering problems. The evaluation of the network reliability of a flow network is a NP-hard problem, with computational effort growing exponentially with the
Moatamed Refaat Hassan, Salem Alkhalaf, Ashraf Mohamed Hemeida, Mahrous Ahmed, Eman Mahmoud   +4 more
doaj   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Cuttings Bed Height Prediction in Microhole Horizontal Wells with Artificial Intelligence Models

Energies, 2022
Inadequate drill cuttings removal can cause costly problems such as excessive drag, lower rate of penetration, and even mechanical pipe sticking. Cuttings bed height is usually used to evaluate hole-cleaning efficiency in horizontal wells. In this study,
Yaotu Han, Xiaocheng Zhang, Zhengming Xu, Xianzhi Song, Weijie Zhao, Qilong Zhang   +5 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network

Agronomy, 2019
Nondestructive estimation of the various physicochemical features of food such as fruits and vegetables will create a dramatic development in the food industry.
Yousef Abbaspour-Gilandeh, Sajad Sabzi, Mario Hernández-Hernández, Jose Luis Hernández-Hernández, Farzad Azadshahraki   +4 more
doaj   +1 more source