Fuzzy assisted human resource management for supply chain management issues

HM Alzoubi, TM Ghazal… - Annals of …, 2022 - research.skylineuniversity.ac.ae
In addition, weights for criterion and links between dimensions and criteria were obtained
using the Decision-making trial and evaluation laboratory and fuzzy analytical hierarchy …

[HTML][HTML] Plant leaf disease detection using computer vision and machine learning algorithms

SS Harakannanavar, JM Rudagi… - Global Transitions …, 2022 - Elsevier
Agriculture provides food to all the human beings even in case of rapid increase in the
population. It is recommended to predict the plant diseases at their early stage in the field of …

Organizational business intelligence and decision making using big data analytics

Y Niu, L Ying, J Yang, M Bao… - Information Processing & …, 2021 - Elsevier
Business intelligence helps gather essential information from a wide variety of unstructured
data and convert them into actionable information that allows firms to make informed policy …

Fine-tuned support vector regression model for stock predictions

RK Dash, TN Nguyen, K Cengiz, A Sharma - Neural Computing and …, 2023 - Springer
In this paper, a new machine learning (ML) technique is proposed that uses the fine-tuned
version of support vector regression for stock forecasting of time series data. Grid search …

[PDF][PDF] Positioning of UAV base stations using 5G and beyond networks for IOMT applications

TM Ghazal - 2021 - repositoriobibliotecas.uv.cl
5G and Beyond 5G networks (B5G) face the greatest obstacle to ensure accessibility with all
categories of users. A significant part of the emerging wireless networks will greatly facilitate …

Deep learning and TextBlob based sentiment analysis for coronavirus (COVID-19) using twitter data

G Chandrasekaran, J Hemanth - International Journal on Artificial …, 2022 - World Scientific
The novel Coronavirus (COVID-19) has affected the normal life of people around the world
and has forced them to maintain social distance, self-quarantine and closing of many …

An English teaching quality evaluation model based on Gaussian process machine learning

S Qi, L Liu, BS Kumar, A Prathik - Expert Systems, 2022 - Wiley Online Library
Background The efficiency of conventional English teaching quality evaluation is
comparatively small, and evaluation statistics are challenging. To investigate the use of …

Certificateless signature schemes in Industrial Internet of Things: A comparative survey

S Hussain, SS Ullah, I Ali, J Xie, VN Inukollu - Computer Communications, 2022 - Elsevier
Abstract Internet of Things (IoT), which is a growing domain, provides a universal connection
to the Internet by spinning common objects to connected ones by changing the way people …

Active control based on hedge-algebras theory of seismic-excited buildings with upgraded tuned liquid column damper

HL Bui, NA Tran, HQ Cao - Journal of Engineering Mechanics, 2023 - ascelibrary.org
An active type of upgraded tuned liquid column damper (AUTLCD) based on hedge-
algebras (HA) theory is proposed to mitigate structural vibrations of seismic-excited …

General optimization procedure of the Hedge-algebras controller for controlling dynamic systems

TD Nguyen, HL Bui - Artificial Intelligence Review, 2023 - Springer
This study aims to investigate a general optimization procedure of the Hedge-algebras
controller (HAC) for controlling dynamic systems. Based on the analysis of factors affecting …