Neural network model for talent recruitment and management for employee development and retention

PN Mwaro, K Ogada, W Cheruiyot - 2021 IEEE AFRICON, 2021 - ieeexplore.ieee.org
Talent management is the process of identifying the vacant position, recruiting the suitable
person, developing the skills and expertise of the person to make the person more suitable …

Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis

H Alqahtani, A Ray - … & Fracture of Engineering Materials & …, 2023 - Wiley Online Library
The global objective of this study was to investigate the best features of the surface
topography for fatigue‐damage detection and classification. The presence of the stress …

Surface texture analysis in polycrystalline alloys via an artificial neural network

H Alqahtani, A Ray - Measurement, 2024 - Elsevier
Surface finish has a significant impact on the properties (eg, fatigue strength and corrosion
resistance) of manufactured products; consequently, industries seek to quantitatively …

Deep Learning for Music: A Systematic Literature Review

DK Kurniawan, GR Alexander… - 2023 International …, 2023 - ieeexplore.ieee.org
Recently, Artificial Intelligence development and implementation are becoming faster and
more popular. Artificial Intelligence has appeared to help humans in their daily activities …

Assessment of the effects of the biotic and abiotic harmful factors on the amount of industrial wood production with deep learning

V Sevinç - Environmental Science and Pollution Research, 2023 - Springer
The protection and sustainability of forest assets is possible with planned production of
forest products to lead to minimum loss. One of the products obtained from forests is the …

Machine Learning Analysis on Gunshot Recognition

SB Nesar, BM Whitaker… - … and Computing (IETC), 2024 - ieeexplore.ieee.org
The ability to recognize a gunshot has significance in reinforcing public safety, assisting in
crime scene investigations, and preventing gun violence. This paper investigates the …

[PDF][PDF] Comparative Analysis of Convolutional Neural Network Models for Solid Waste Categorization

TOJ ALALIBO, NO NWAZOR - Iconic Research and Engineering …, 2023 - irejournals.com
This paper is on the comparative analysis of various convolutional neural network (CNN)
models that could be used in the classification of solid waste into different categories for …

The acceptance Status of traditional moral culture in Colleges and Universities using Convolutional neural network

B Liu - Scientific Programming, 2022 - Wiley Online Library
In today's world, competition among countries is not just a contest of hard force, but also a
contest of soft power. China has a five‐thousand‐year‐old history and civilization, with a …

Developing an intelligent prediction system for successful aging based on artificial neural networks

R Nopour, H Kazemi-Arpanahi - International Journal of …, 2024 - journals.lww.com
Background: Due to the growing number of disabilities in elderly, Attention to this period of
life is essential to be considered. Few studies focused on the physical, mental, disabilities …

An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning

V Toscano-Durán, J Perera-Lago… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Deep Learning has gained popularity for its ability to solve complex
classification tasks, increasingly delivering better results thanks to the development of more …