Genetic algorithms in the fields of artificial intelligence and data sciences

A Sohail - Annals of Data Science, 2023 - Springer
In the fields of engineering and data sciences, the optimization problems arise on regular
basis. With the progress in the field of scientific computing and research, the optimization is …

“Transfer Learning” for Bridging the Gap Between Data Sciences and the Deep Learning

A Sohail - Annals of Data Science, 2024 - Springer
Over the past two decades, the community of data science, computer vision and
programming has evolved rapidly and new programming techniques have replaced the …

Predicting next-day discharge via electronic health record access logs

X Zhang, C Yan, BA Malin, MB Patel… - Journal of the American …, 2021 - academic.oup.com
Objective Hospital capacity management depends on accurate real-time estimates of
hospital-wide discharges. Estimation by a clinician requires an excessively large amount of …

Progressive Type-II censored samples for bivariate Weibull distribution with economic and medical Applications

ESA El-Sherpieny, HZ Muhammed… - Annals of Data …, 2024 - Springer
Abstract Recently, the Bivariate Weibull distribution based on different copula functions has
received considerable attention in the statistical literature. For progressive Type-II censored …

A systematic literature review of predicting patient discharges using statistical methods and machine learning

M Pahlevani, M Taghavi, P Vanberkel - Health Care Management Science, 2024 - Springer
Discharge planning is integral to patient flow as delays can lead to hospital-wide
congestion. Because a structured discharge plan can reduce hospital length of stay while …

Advanced Copula-Based Models for Type II Censored Data: Applications in Industrial and Medical Settings

EM Almetwally, A Fayomi, ME Qura - Mathematics, 2024 - mdpi.com
Copula models are increasingly recognized for their ability to capture complex
dependencies among random variables. In this study, we introduce three innovative …

The SARS-CoV-2 Virus Detection with the Help of Artificial Intelligence (AI) and Monitoring the Disease Using Fractal Analysis

MV Nichita, MA Paun, VA Paun, VP Paun - Computers, 2023 - mdpi.com
This paper introduces an AI model designed for the diagnosis and monitoring of the SARS-
CoV-2 virus. The present artificial intelligence (AI) model founded on the machine learning …

Improving screening systems of autism using data sampling

AJW Scott, Y Wang, H Abdel-Jaber… - … and Health Care, 2021 - content.iospress.com
OBJECTIVES: Autism Spectrum Disorder (ASD) is a complex range of neurodegenerative
conditions that impact individuals' social behaviour and communication skills. However …

Research on industry data analytics on processing procedure of named 3-4-8-2 components combination for the application identification in new chain convenience …

YS Chen, CK Lin, JCL Chou, YH Hung, SW Wang - Processes, 2023 - mdpi.com
With the rapid economic boom of Asian countries, the president of Country-A has made
great efforts to reform in recent years. The prospect of economic development is promising …

Modeling the Impact of Delay on the Aggregation of AD Proteins

A Nutini, A Sohail, R Arif, M Fiaz, OA Beg - Annals of Data Science, 2024 - Springer
Accumulation of the amyloid-β (A β) peptide in the brain gives rise to a cascade of key
events in the pathogenesis of Alzheimer's disease (AD). It is verified by different research …