Results 11 to 20 of about 148 (117)
MEDCnet : A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN [PDF]
International Journal of Imaging Systems and Technology, Volume 35, Issue 2, March 2025.Modern medical imaging equipment can capture very high-resolution images with detailed features. These high-resolution images have been used in several domains.
Abul, Bashar +4 more
core +2 more sources
Gaussian Perturbation Specular Reflection Learning and Golden-Sine-Mechanism-Based Elephant Herding Optimization for Global Optimization Problems. [PDF]
Comput Intell Neurosci, 2021 Elephant herding optimization (EHO) has received widespread attention due to its few control parameters and simple operation but still suffers from slow convergence and low solution accuracy. In this paper, an improved algorithm to solve the above shortcomings, called Gaussian perturbation specular reflection learning and golden‐sine‐mechanism‐based ...
Duan Y, Liu C, Li S, Guo X, Yang C.
europepmc +2 more sources
A Novel Adaptive Mutation Enhanced Elephant Herding Optimization (Ameho) Based Feature Selection And Kernel Extreme Learning Machine (Kelm) Classifier For Breast Cancer Diagnosis [PDF]
, 2021 Breast cancer is one among the deadly diseases in women that have the high death percentage in the world. An accurate and initial recognition of breast cancer via dataset is still a difficult task. Due to the huge dispersion of the disease ...
et. al., R.S.Padma Priya,
core +2 more sources
Energy efficient data transmission using multiobjective improved remora optimization algorithm for wireless sensor network with mobile sink [PDF]
, 2023 A wireless sensor network (WSN) is a collection of nodes fitted with small sensors and transceiver elements. Energy consumption, data loss, and transmission delays are the major drawback of creating mobile sinks.
Jemla Naik, Anil Kumar +2 more
core +2 more sources
A Review of Wireless Sensor Networks with Cognitive Radio Techniques and Applications [PDF]
, 2023 The advent of Wireless Sensor Networks (WSNs) has inspired various sciences and telecommunication with its applications, there is a growing demand for robust methodologies that can ensure extended lifetime. Sensor nodes are small equipment which may
A., Karthikeyan, V., Abilasha
core +2 more sources
An Improved Binary Grey-Wolf Optimizer with Simulated Annealing for Feature Selection [PDF]
, 2021 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, and redundant data that will then allow machine learning algorithms to ...
Abdel-Basset, Mohamed +5 more
core +1 more source
Fish and Fisheries, Volume 24, Issue 5, Page 863-888, September 2023., 2023 Abstract Early life survival is critical to successful replenishment of fish populations, and hypotheses developed under the Growth‐Survival Paradigm (GSP) have guided investigations of controlling processes. The GSP postulates that recruitment depends on growth and mortality rates during early life stages, as well as their duration, after which the ...
Dominique Robert +29 more
wiley +1 more source
IET Control Theory &Applications, Volume 16, Issue 10, Page 945-971, 2 July 2022., 2022 Abstract Salp swarm algorithm (SSA) is a relatively new bio‐inspired meta‐heuristic optimization algorithm that mimics the navigating and foraging behavior of salps in oceans. This paper presents an orthogonal quasi‐opposition‐based learning‐driven dynamic SSA (OBDSSA) for solving global optimization problems.
Zongshan Wang +6 more
wiley +1 more source
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 With emerging population and transportation in today’s world, traffic has become a challenging issue to be addressed. Most of the metropolitan cities are facing various traffic‐related issues. This poses the need for a smart traffic system, which could tackle the external environment and provide energy efficient transportation system.
R. Sathiyaraj +6 more
wiley +1 more source
Metaheuristics with Deep Learning‐Enabled Parkinson’s Disease Diagnosis and Classification Model
Journal of Healthcare Engineering, Volume 2022, Issue 1, 2022., 2022 Parkinson's disease (PD) affects the movement of people, including the differences in writing skill, speech, tremor, and stiffness in muscles. It is significant to detect the PD at the initial stages so that the person can live a peaceful life for a longer time period. The serious levels of PD are highly risky as the patients get progressive stiffness,
Adel A. Bahaddad +4 more
wiley +1 more source