Computer based diagnosis of some chronic diseases: a medical journey of the last two decades
Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
A hierarchical feature selection strategy for deepfake video detection
Digital face manipulation has become a concern in the last few years due to its harmful
impacts on society. It is especially concerning for high-profile celebrities because their …
impacts on society. It is especially concerning for high-profile celebrities because their …
Centroid mutation-based search and rescue optimization algorithm for feature selection and classification
Massive data is generated as a result of technological innovations in various fields. Medical
data sets often have extremely complex dimensions with limited sample sizes. The …
data sets often have extremely complex dimensions with limited sample sizes. The …
Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitting …
Introduction Global Cardiovascular disease (CVD) is still one of the leading causes of death
and requires the enhancement of diagnostic methods for the effective detection of early …
and requires the enhancement of diagnostic methods for the effective detection of early …
An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection
Selecting a subset of important features from a high-dimensional dataset is an important
prerequisite for data mining. Meta-heuristic algorithms have gained attention in this field in …
prerequisite for data mining. Meta-heuristic algorithms have gained attention in this field in …
An improved binary grey-wolf optimizer with simulated annealing for feature selection
This paper proposes improvements to the binary grey-wolf optimizer (BGWO) to solve the
feature selection (FS) problem associated with high data dimensionality, irrelevant, noisy …
feature selection (FS) problem associated with high data dimensionality, irrelevant, noisy …
Sybil attack with RSU detection and location privacy in urban VANETs: An efficient EPORP technique
In recent years, Vehicular ad hoc networks (VANETs) could facilitate the decision-making
progress of the drivers for example trip planning with the consideration of traffic. In the …
progress of the drivers for example trip planning with the consideration of traffic. In the …
An empirical study of nature-inspired algorithms for feature selection in medical applications
V Arora, P Agarwal - Annals of Data Science, 2024 - Springer
Nature-inspired algorithms (NIA) are proven to be the potential tool for solving intricate
optimization problems and aid in the development of better computational techniques. In …
optimization problems and aid in the development of better computational techniques. In …
A feature selection method based on the Golden Jackal-Grey Wolf Hybrid Optimization Algorithm
This paper proposes a feature selection method based on a hybrid optimization algorithm
that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). The …
that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). The …
A comprehensive survey on state-of-the-art video forgery detection techniques
Video plays a key role in carrying authenticity, especially in the surveillance system, medical
field, court evidence, journalism, and social media among others. However, nowadays the …
field, court evidence, journalism, and social media among others. However, nowadays the …