[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review

HE Saroğlu, I Shayea, B Saoud, MH Azmi… - Alexandria Engineering …, 2024 - Elsevier
Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …

[HTML][HTML] A sophisticated model for rating water quality

MG Uddin, S Nash, A Rahman, AI Olbert - Science of the Total Environment, 2023 - Elsevier
Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and
coastal water quality in an effort to improve the method and develop a tool that can be used …

Analyzing physics-inspired metaheuristic algorithms in feature selection with K-nearest-neighbor

J Priyadarshini, M Premalatha, R Čep, M Jayasudha… - Applied Sciences, 2023 - mdpi.com
In recent years, feature selection has emerged as a major challenge in machine learning. In
this paper, considering the promising performance of metaheuristics on different types of …

The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews

HEC Silva, GNM Santos, AF Leite, CRM Mesquita… - Plos one, 2023 - journals.plos.org
Background and purpose In comparison to conventional medical imaging diagnostic
modalities, the aim of this overview article is to analyze the accuracy of the application of …

An integrative machine learning framework for classifying SEER breast cancer

P Manikandan, U Durga, C Ponnuraja - Scientific Reports, 2023 - nature.com
Breast cancer is the commonest type of cancer in women worldwide and the leading cause
of mortality for females. The aim of this research is to classify the alive and death status of …

[HTML][HTML] Predicting hospital readmission risk in patients with COVID-19: A machine learning approach

MR Afrash, H Kazemi-Arpanahi… - Informatics in medicine …, 2022 - Elsevier
Abstract Introduction The Coronavirus 2019 (COVID-19) epidemic stunned the health
systems with severe scarcities in hospital resources. In this critical situation, decreasing …

Bamboo Plant Classification Using Deep Transfer Learning with a Majority Multiclass Voting Algorithm

AD Sawarkar, DD Shrimankar, S Ali, A Agrahari… - Applied Sciences, 2024 - mdpi.com
Bamboos, also known as non-timber forest products (NTFPs) and belonging to the family
Poaceae and subfamily Bambusoideae, have a wide range of flowering cycles from 3 to 120 …

Application of artificial intelligence for better investment in human capital

MA Ammer, ZAT Ahmed, SN Alsubari, THH Aldhyani… - Mathematics, 2023 - mdpi.com
Selecting candidates for a specific job or nominating a person for a specific position takes
time and effort due to the need to search for the individual's file. Ultimately, the hiring …

A structured combination of ensemble classifier and filter-based feature selection to improve breast cancer diagnosis

D Zheng, P Tang, D Lu, L Han, S Saberi - Journal of Cancer Research and …, 2023 - Springer
Introduction Advances in technology have led to the emergence of computerized diagnostic
systems as intelligent medical assistants. Machine learning approaches cannot replace …

[PDF][PDF] Breast Cancer Diagnosis Using Feature Selection Approaches and Bayesian Optimization.

E Akkur, F TURK, O Erogul - Computer Systems Science & …, 2023 - cdn.techscience.cn
Breast cancer seriously affects many women. If breast cancer is detected at an early stage, it
may be cured. This paper proposes a novel classification model based improved machine …