Zobrazeno 1 - 10
of 2 004
pro vyhledávání: '"feed forward neural network"'
Autor:
Saravanan Srinivasan, Parthasarathy Ramadass, Sandeep Kumar Mathivanan, Karthikeyan Panneer Selvam, Basu Dev Shivahare, Mohd Asif Shah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Parkinson’s Disease (PD) is a prevalent neurological condition characterized by motor and cognitive impairments, typically manifesting around the age of 50 and presenting symptoms such as gait difficulties and speech impairments. Although
Externí odkaz:
https://doaj.org/article/34d600dcf62d46d3bd827103c532448f
Autor:
Franziska Lauer, Frank Kösters
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 4, Pp 853-868 (2024)
Estuaries are ecologically valuable regions where tidal forces move large volumes of water. To understand the ongoing physical processes in such dynamic systems, a series of estuarine monitoring stations is required. Based on the measurements, estuar
Externí odkaz:
https://doaj.org/article/8dfcedf95261419c8cc4ff7fb55d734b
Autor:
U. I. Behunkou
Publikováno v:
Informatika, Vol 21, Iss 1, Pp 83-104 (2024)
Objectives. The purpose of the study is to construct and study the use of a feed-forward neural network to solve the problem of loan classification, as well as to conduct a comparative analysis of the neural networkbased approach with the existing ap
Externí odkaz:
https://doaj.org/article/5957650872064d20aaa41fa2e8c6896b
Autor:
Ali S. Alkorbi, Muhammad Tanveer, Humayoun Shahid, Muhammad Bilal Qadir, Fayyaz Ahmad, Zubair Khaliq, Mohammed Jalalah, Muhammad Irfan, Hassan Algadi, Farid A. Harraz
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 10955-10976 (2024)
This study refines a single-layer Feed-Forward Neural Network (FFNN) for the treatment of textile dye wastewater, concentrating on percentage decolorization (%DEC) and percentage chemical oxygen demand (%COD) reduction. The optimized neural network c
Externí odkaz:
https://doaj.org/article/9390927a95d34f969acb6a32fc1781ef
Publikováno v:
IEEE Access, Vol 12, Pp 36183-36201 (2024)
In this paper, an intelligent Model Reference Adaptive Control (MRAC) based on a neural network is proposed for robust tracking control of quadrotor UAV under external disturbances and parameter variations. First, the singularity-free dynamic model o
Externí odkaz:
https://doaj.org/article/e3d213d4bad74cbabc4236a429fcb273
Autor:
Rajesh Chatterjee, Mohammad Amir Khusru Akhtar, Dinesh Kumar Pradhan, Falguni Chakraborty, Mohit Kumar, Sahil Verma, Ruba Abu Khurma, Maribel Garcia-Arenas
Publikováno v:
IEEE Access, Vol 12, Pp 20396-20408 (2024)
The medical field is witnessing rapid adoption of artificial intelligence (AI) and machine learning (ML), revolutionizing disease diagnosis and treatment management. Researchers explore how AI and ML can optimize medical decision-making, promising to
Externí odkaz:
https://doaj.org/article/378df67571d04c94a804960e2bc81f5b
Deep Learning as a New Framework for Passive Vehicle Safety Design Using Finite Elements Models Data
Autor:
Mar Lahoz Navarro, Jonas Siegfried Jehle, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Matthias Gerdts
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9296 (2024)
In recent years, passive vehicle safety has become one of the major concerns for the automotive industry due to the considerable increase in the use of cars as a means of daily transport. Since real crash testing has a high financial cost, finite ele
Externí odkaz:
https://doaj.org/article/db0963dee803462aa736dfe14efc1646
Autor:
Jayabrabu Ramakrishnan
Publikováno v:
Egyptian Informatics Journal, Vol 26, Iss , Pp 100470- (2024)
The technique of measuring brain signals or activities by placing electrodes on the scalp of human beings is called Electroencephalogram (EEG). Brain-computer interface (BCI) is a technique to capture brain signals and translate them into control sig
Externí odkaz:
https://doaj.org/article/776b9b39224044b4bff72e7edd243e94
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 9, p 120 (2024)
Time series forecasting is undoubtedly a key area in machine learning due to the numerous fields where it is crucial to estimate future data points of sequences based on a set of previously observed values. Deep learning has been successfully applied
Externí odkaz:
https://doaj.org/article/f4a966338fb84f9480b0ac1c0e243c9f