Efficient city supply chain management through spherical fuzzy dynamic multistage decision analysis
The objective of this paper is to introduce several dynamic spherical fuzzy aggregation
operators (AOs) for “multi-period decision-making”(MPDM) problems. In these problems …
operators (AOs) for “multi-period decision-making”(MPDM) problems. In these problems …
Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
Background Early and accurate identification of sepsis patients with high risk of in-hospital
death can help physicians in intensive care units (ICUs) make optimal clinical decisions …
death can help physicians in intensive care units (ICUs) make optimal clinical decisions …
A systematic review of Arabic text classification: areas, applications, and future directions
Text classification pertains to the automated procedure of assigning predefined labels or
categories to textual data. A comprehensive review of the existing literature on Arabic text …
categories to textual data. A comprehensive review of the existing literature on Arabic text …
Development of deep learning method for predicting DC power based on renewable solar energy and multi-parameters function
S Al-Janabi, Z Al-Janabi - Neural Computing and Applications, 2023 - Springer
In recent decades, the world has witnessed a great expansion in the world of technology
and electronics, in addition to the tremendous development in various industries, which has …
and electronics, in addition to the tremendous development in various industries, which has …
A novel approach for heart disease prediction using strength scores with significant predictors
Background Cardiovascular disease is the leading cause of death in many countries.
Physicians often diagnose cardiovascular disease based on current clinical tests and …
Physicians often diagnose cardiovascular disease based on current clinical tests and …
[HTML][HTML] A novel optimization algorithm (Lion-AYAD) to find optimal DNA protein synthesis
S Al-Janabi, A Alkaim - Egyptian Informatics Journal, 2022 - Elsevier
In this paper, we present a new algorithm to find the optimal proteins generated through
DNA synthesis. The algorithm executes in five stages: in the first stage, it takes a DNA …
DNA synthesis. The algorithm executes in five stages: in the first stage, it takes a DNA …
Utilizing the Internet of Things (IoT) to address uncertain home health care supply chain network
A Salehi-Amiri, A Jabbarzadeh… - Expert Systems with …, 2022 - Elsevier
Abstract Generally, Home Health Care (HHC) consists of a medical team that serves patients
in their own homes and carries out various medical services, such as taking biological …
in their own homes and carries out various medical services, such as taking biological …
Risk management-based security evaluation model for telemedicine systems
Background Infectious diseases that can cause epidemics, such as COVID-19, SARS-CoV,
and MERS-CoV, constitute a major social issue, with healthcare providers fearing …
and MERS-CoV, constitute a major social issue, with healthcare providers fearing …
CCS-OSSR: a framework based on hybrid MCDM for optimal service selection and ranking of cloud computing services
With the exponential proliferation of cloud services, the decision of trustworthy cloud service
selection has become tremendously challenging nowadays. It demands an accurate …
selection has become tremendously challenging nowadays. It demands an accurate …
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences
J Hatwell, MM Gaber, RM Atif Azad - BMC Medical Informatics and …, 2020 - Springer
Abstract Background Computer Aided Diagnostics (CAD) can support medical practitioners
to make critical decisions about their patients' disease conditions. Practitioners require …
to make critical decisions about their patients' disease conditions. Practitioners require …