Identifying disease and diagnosis in females using machine learning

S Pramanik, SK Bandyopadhyay - Encyclopedia of Data Science …, 2023 - igi-global.com
Here, the researchers are trying to prepare a model for identifying whether a patient is
diabetic or not. The Pima Indian Dataset has been used in this case study. There are two …

Neural network based mental depression identification and sentiments classification technique from speech signals: A COVID-19 Focused Pandemic Study

ST Ahmed, DK Singh, SM Basha… - Frontiers in public …, 2021 - frontiersin.org
COVID-19 (SARS-CoV-2) was declared as a global pandemic by the World Health
Organization (WHO) in February 2020. This led to previously unforeseen measures that …

Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities

F de Arriba-Pérez, S García-Méndez… - Journal of ambient …, 2023 - Springer
Previous researchers have proposed intelligent systems for therapeutic monitoring of
cognitive impairments. However, most existing practical approaches for this purpose are …

Dempster–Shafer theory for classification and hybridised models of multi-criteria decision analysis for prioritisation: a telemedicine framework for patients with heart …

RA Hamid, AS Albahri, OS Albahri… - Journal of Ambient …, 2022 - Springer
Hybridised classification and prioritisation of patients with chronic heart diseases (CHDs)
can save lives by categorising them on the basis of disease severity and determining priority …

Two phase cluster validation approach towards measuring cluster quality in unstructured and structured numerical datasets

SS Kumar, ST Ahmed, P Vigneshwaran… - Journal of Ambient …, 2021 - Springer
This paper presents an improved cluster validation scheme called two phase cluster
validation (TPCV) and aims to estimate the inter closeness and inter separation among the …

[图书][B] Information and communication theory-source coding techniques-part II

ST Ahmed, SM Basha - 2022 - books.google.com
This handbook covers basic concepts of Information and mathematical theory that deals with
the fundamental aspects of communication systems. The purpose of this Hand-Book is to …

An Improved Approach of Unstructured Text Document Classification Using Predetermined Text Model and Probability Technique

S Sreedhar Kumar, ST Ahmed… - … : Proceedings of the …, 2021 - books.google.com
Document classification is the task to split the document set into distinct highly relative
classes or groups based on nature of the document contents. Here, an improved approach …

[图书][B] Deep learning: Practical approach

N Bhavatarini, SM Basha, ST Ahmed - 2022 - books.google.com
In a very short time, deep learning has become a widely useful technique, solving and
automating problems in computer vision, robotics, healthcare, physics, biology, and beyond …

Highly Robust and Efficient Random Feature Coordination Schema using DNN for Melanoma Skin Cancer Detection

A Kumar, TY Satheesha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Melanoma skin cancer is transferable and spread from one origin to another and hence
considered as most fatal cancer type in the world by WHO. Researchers have proposed …

Analysis of feature selection techniques for prediction of boiler efficiency in case of coal based power plant using real time data

S Thota, MB Syed - … Journal of System Assurance Engineering and …, 2024 - Springer
Monitoring and enforcing the performance of equipment in coal-based thermal power plants
play a vital role in operational management. As the coal-based power plant is a nonlinear …