Systematic Framework to Predict Early‐Stage Liver Carcinoma Using Hybrid of Feature Selection Techniques and Regression Techniques

M Mehmood, N Alshammari, SA Alanazi… - Complexity, 2022 - Wiley Online Library
The liver is the human body's mandatory organ, but detecting liver disease at an early stage
is very difficult due to the hiddenness of symptoms. Liver diseases may cause loss of energy …

“Location, location, location”: fluctuations in real estate market values after COVID-19 and the war in Ukraine based on econometric and spatial analysis, random …

L Gabrielli, AG Ruggeri, M Scarpa - Land, 2023 - mdpi.com
In this research, the authors aim to detect the marginal appreciation of construction and
neighbourhood characteristics of property prices at three different time points: before the …

A taxonomy of multimedia-based graphical user authentication for green Internet of Things

KA Awan, I Ud Din, A Almogren, N Kumar… - ACM Transactions on …, 2021 - dl.acm.org
Authentication receives enormous consideration from the research community and is proven
to be an interesting field in today's era. User authentication is the major concern because …

Outlier detection based feature selection exploiting bio-inspired optimization algorithms

S Larabi-Marie-Sainte - Applied Sciences, 2021 - mdpi.com
The curse of dimensionality problem occurs when the data are high-dimensional. It affects
the learning process and reduces the accuracy. Feature selection is one of the …

A novel method to improve inter-clinician variation in the diagnosis of retinopathy of prematurity using machine learning

KL Nisha, S Ganapathy… - Current Eye …, 2023 - Taylor & Francis
Purpose Inter-clinician variation could cause uncertainty in disease management. This is
reported to be high in Retinopathy of Prematurity (ROP), a potentially blinding retinal …

What is the “best” way to measure the relative location variables in the market value assessment? An econometric method applied to an Italian case study

A Ruggeri, F Di Liddo, L Gabrielli, F Tajani, P Morano - Land Use Policy, 2025 - Elsevier
The present research is dedicated to investigating the explanatory power of relative location
variables in assessing and forecasting market values. Here, relative location refers to the …

Exploring inertial sensor-based balance biomarkers for early detection of mild cognitive impairment

M Jamshed, A Shahzad, F Riaz, K Kim - Scientific Reports, 2024 - nature.com
Dementia is characterized by a progressive loss of cognitive abilities, and diagnosing its
early stages Mild Cognitive Impairment (MCI), is difficult since it is a transitory state that is …

Mental-Health Topic Classification employing D-vectors of Large Language Models

C Luna-Jimenéz, Z Callejas… - 2024 IEEE 37th …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have attracted interest due to their sophisticated natural
language understanding capacities. Nevertheless, the employment of their d-vectors …

Feature selection using neighborhood based entropy

F Farnaghi-Zadeh, M Rahmani… - Journal of Universal …, 2022 - search.proquest.com
Feature selection plays an important role as a preprocessing step for pattern recognition and
machine learning. The goal of feature selection is to determine an optimal subset of relevant …

Composition of Feature Selection for Time-Series Prediction with Deep Learning

R Kumar - Procedia Computer Science, 2024 - Elsevier
The concept of predictions has gained much attention over the last few years. Research on
prediction based on experience is error-prone. Usually, a lot of data has been available with …