Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives

M Karatas, L Eriskin, M Deveci, D Pamucar… - Expert Systems with …, 2022 - Elsevier
The innovative technologies emerged with the industrial revolution “Industry 4.0” as well as
the new ones on the way of advanced digitalization enable delivering enhanced, value …

A comprehensive review on Jaya optimization algorithm

LSA da Silva, YLS Lúcio, LS Coelho… - Artificial Intelligence …, 2023 - Springer
Abstract The Jaya Algorithm is a relatively new population-based optimization, which has
become a progressively valuable tool in swarm intelligence. The Jaya algorithm …

[PDF][PDF] Optimized machine learning algorithm for intrusion detection

RAI Alhayali, M Aljanabi, AH Ali… - Indonesian Journal of …, 2021 - academia.edu
Intrusion detection is mainly achieved by using optimization algorithms. The need for
optimization algorithms for intrusion detection is necessitated by the increasing number of …

AutoML classifier clustering procedure

O Koren, CA Hallin, M Koren… - International Journal of …, 2022 - Wiley Online Library
Recommendation systems are one of the main applications of machine learning (ML) used
across different industries. This paper presents a new automated machine learning …

Big data classification based on improved parallel k-nearest neighbor

AH Ali, MA Mohammed, RA Hasan… - TELKOMNIKA …, 2023 - telkomnika.uad.ac.id
In response to the rapid growth of many sorts of information, highway data has continued to
evolve in the direction of big data in terms of scale, type, and structure, exhibiting …

Leveraging AI and Big Data in Low-Resource Healthcare Settings

AH Ali, SA Dheyab, AH Alamoodi… - … Journal of Big Data, 2024 - mesopotamian.press
Big data and artificial intelligence are game-changing technologies for the underdeveloped
healthcare industry because they help optimize the entire supply chain and deliver more …

The unreasonable effectiveness of machine learning in Moldavian versus Romanian dialect identification

M Găman, RT Ionescu - International Journal of Intelligent …, 2022 - Wiley Online Library
Motivated by the seemingly high accuracy levels of machine learning (ML) models in
Moldavian versus Romanian dialect identification and the increasing research interest on …

[PDF][PDF] Detecting abnormal driving behavior using modified DenseNet

A Ayad, ME Abdulmunim - Iraqi Journal for Computer Science and …, 2023 - iasj.net
Car accidents have serious consequences, including depletion of resources, harm to human
health and well-being, and social problems. The three primary factors contributing to car …

[PDF][PDF] Hybrid Feature Selection based on BTLBO and RNCA to Diagnose the Breast Cancer

M Allam, N Malaiyappan - INTERNATIONAL ARAB JOURNAL OF …, 2023 - iajit.org
Feature selection is a feasible solution to improve the speed and performance of machine
learning models. Optimization algorithms are doing a significant job in searching for optimal …

An improved fish swarm algorithm to assign tasks and cut down on latency in cloud computing

RA Hasan, RAI Alhayali… - TELKOMNIKA …, 2022 - telkomnika.uad.ac.id
Various researches have been conducted to discover the machinery that led to the
evolvement of non-symmetric formation of groups by uncountable marine animals. The huge …