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View article: JUHCCR-v1: a database for hand-drawn electrical and electronics circuit component recognition
JUHCCR-v1: a database for hand-drawn electrical and electronics circuit component recognition Open
View article: DANet a lightweight dilated attention network for malaria parasite detection
DANet a lightweight dilated attention network for malaria parasite detection Open
View article: Polymorph Selection and Derivatization in Enantiomerically Pure Medicarpin: Crystallographic and Computational Insights
Polymorph Selection and Derivatization in Enantiomerically Pure Medicarpin: Crystallographic and Computational Insights Open
Polymorphism critically influences the solid-state properties of organic molecules, affecting stability, solubility, and functionality. We investigated the polymorphic behavior of enantiomerically pure (+)-(6aS,11aS)-medicarpin through com…
View article: Metaheuristics-Assisted Placement of Omnidirectional Image Sensors for Visually Obstructed Environments
Metaheuristics-Assisted Placement of Omnidirectional Image Sensors for Visually Obstructed Environments Open
Optimal camera placement (OCP) is a crucial task for ensuring adequate surveillance of both indoor and outdoor environments. While several solutions to this problem have been documented in the literature, there are still research gaps rela…
View article: Corrigendum to “Image segmentation with Cellular Automata” [Heliyon Volume 10, Issue 10, May 2024, Article e31152]
Corrigendum to “Image segmentation with Cellular Automata” [Heliyon Volume 10, Issue 10, May 2024, Article e31152] Open
[This corrects the article DOI: 10.1016/j.heliyon.2024.e31152.].
View article: Advanced feature selection approach with Halton-based enhanced adaptive dung beetle algorithm
Advanced feature selection approach with Halton-based enhanced adaptive dung beetle algorithm Open
The dung beetle optimizer (DBO) is a simple structure with minimal hyperparameters and a population-based optimization algorithm that mimics the foraging behaviors of dung beetles. However, DBO has several limitations, including slow conve…
View article: Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm
Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm Open
Optimization techniques aim to identify optimal solutions for a given problem. In single-objective optimization, the best solution corresponds to the one that maximizes or minimizes the objective function. However, when dealing with multi-…
View article: UNIR-Net: A Novel Approach for Restoring Underwater Images with Non-Uniform Illumination Using Synthetic Data
UNIR-Net: A Novel Approach for Restoring Underwater Images with Non-Uniform Illumination Using Synthetic Data Open
Restoring underwater images affected by non-uniform illumination (NUI) is essential to improve visual quality and usability in marine applications. Conventional methods often fall short in handling complex illumination patterns, while lear…
View article: CLEAR: An Efficient Low-Illumination Enhancement Method for Improved Visibility in Underwater Images
CLEAR: An Efficient Low-Illumination Enhancement Method for Improved Visibility in Underwater Images Open
Enhancing underwater imagery is critical for marine research, environmental monitoring, and autonomous navigation, yet image acquisition in such environments is inherently challenging due to low illumination caused by light absorption, sca…
View article: Enhanced Flatfoot Classification With Transformer Encoders and Bayesian Optimized SVM Parameters
Enhanced Flatfoot Classification With Transformer Encoders and Bayesian Optimized SVM Parameters Open
Early detection of diseases allows for timely interventions that can reduce the risk of severe health complications; using Machine Learning (ML) tools to support medical specialists aids in early detection. Flatfoot is a musculoskeletal di…
View article: Integrating agent-based models and clustering methods for improving image segmentation
Integrating agent-based models and clustering methods for improving image segmentation Open
Image segmentation through clustering is a widely used technique in computer vision that partitions an image into multiple segments by grouping pixels based on feature similarity. Although effective for certain applications, this approach …
View article: Enhancing Metaheuristic Algorithm Performance Through Structured Population and Evolutionary Game Theory
Enhancing Metaheuristic Algorithm Performance Through Structured Population and Evolutionary Game Theory Open
Diversity is crucial for metaheuristic algorithms. It prevents early convergence, balances exploration and exploitation, and helps to avoid local optima. Traditional metaheuristic algorithms tend to rely on a single strategy for generating…
View article: Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing
Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing Open
Image contrast enhancement is an essential process that improves the visibility of many features that may remain hidden due to low-contrast conditions arising from environmental causes, limitations of the device, or the wrong setting of th…
View article: Agent-Based Evacuation Modeling: Enhancing Building Safety in Emergency Scenarios
Agent-Based Evacuation Modeling: Enhancing Building Safety in Emergency Scenarios Open
Buildings and their supporting infrastructure are vulnerable to both natural and human-made disasters, which pose significant risks to the safety of the occupants. Evacuation models are essential tools for assessing these risks and for ens…
View article: Contrast enhancement of digital images using dragonfly algorithm
Contrast enhancement of digital images using dragonfly algorithm Open
Contrast enhancement aims to amplify the visual quality of images by modifying the contrast level because digital images may get distorted by casual acquisition. The article deals with contrast enhancement as an optimization problem and us…
View article: ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement
ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement Open
Low-light image enhancement is an important task in computer vision, essential for improving the visibility and quality of images captured in non-optimal lighting conditions. Inadequate illumination can lead to significant information loss…
View article: Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach
Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach Open
The challenges associated with conventional methods of COVID-19 detection have prompted the exploration of alternative approaches, including the analysis of lung X-ray images. This paper introduces a novel algorithm designed to identify ab…
View article: Neural Robust Control for a Mobile Agent Leader–Follower System
Neural Robust Control for a Mobile Agent Leader–Follower System Open
A controller employing a combined new strategy of output feedback linearization and a recurrent high-order neural network (RHONN) adaptive approach for a mobile agent leader–follower system is presented. The controller structure is based o…
View article: DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images
DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images Open
Breast cancer remains a critical global concern, underscoring the urgent need for early detection and accurate diagnosis to improve survival rates among women. Recent developments in deep learning have shown promising potential for compute…
View article: Image segmentation with Cellular Automata
Image segmentation with Cellular Automata Open
View article: Inteligencia Emocional en el Modelo Educativo del Nivel Superior. Un Estudio de Caso
Inteligencia Emocional en el Modelo Educativo del Nivel Superior. Un Estudio de Caso Open
La inteligencia emocional es la habilidad que poseen los seres humanos para reconocer, externar y controlar los sentimientos que permite desarrollar la capacidad de superar los obstáculos presentes en la vida diaria. Es un factor important…
View article: Integration of Metaheuristic Operators Through Unstructured Evolutive Game Theory Approach: A novel hybrid Methodology
Integration of Metaheuristic Operators Through Unstructured Evolutive Game Theory Approach: A novel hybrid Methodology Open
This paper introduces a novel approach to addressing the complexity of current optimization challenges by developing hybrid metaheuristic algorithms. These algorithms combine the strengths of different strategies to enhance solution identi…
View article: Corrigendum to "$m$-Periodic Gorenstein objects" [J. Algebra 621 (2023)]
Corrigendum to "$m$-Periodic Gorenstein objects" [J. Algebra 621 (2023)] Open
Let $(\mathcal{A,B})$ be a GP-admissible pair and $(\mathcal{Z,W})$ be a GI-admissible pair of classes of objects in an abelian category $\mathcal{C}$, and consider the class $π\mathcal{GP}_{(ω,\mathcal{B},1)}$ of $1$-periodic $(ω,\mathcal…
View article: A Graph Segmentation Method Based on Compatibility Subgraph Aggregation
A Graph Segmentation Method Based on Compatibility Subgraph Aggregation Open
Graph-based methods, distinguished by their resilience to noise, have demonstrated efficacy in image segmentation compared to alternative techniques. Despite their notable capabilities, these methods present over- and under segmentation pr…
View article: Digital Image Processing Applied in the Deformation Analysis of Hip Prosthesis: Multivariate Regression Analysis
Digital Image Processing Applied in the Deformation Analysis of Hip Prosthesis: Multivariate Regression Analysis Open
Total Hip Arthroplasty (THA) is one of the most performed surgical procedures to treat osteoarthritis of the hip joint or other skeletal disorders, such as Developmental Dysplasia of the Hip (DDH) or malformations. The purpose of the THA i…
View article: Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis
Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis Open
For various daunting physical world structural optimization design problems, a novel multi-objective water strider algorithm (MOWSA) is proposed, and its non-dominated sorting (NDS) framework is explored. This effort is inspired by the rec…
View article: Wrapper-Based Feature Selection to Classify Flatfoot Disease
Wrapper-Based Feature Selection to Classify Flatfoot Disease Open
Musculoskeletal disorders of the foot are a common complaint in the population. It has been found a flatfoot prevalence of 13.6% in young adults and a prevalence of 26.62% in adults between 42 and 91 years. Different non-invasive technique…
View article: Corrections to “Wrapper-Based Feature Selection to Classify Flatfoot Disease”
Corrections to “Wrapper-Based Feature Selection to Classify Flatfoot Disease” Open
Presents corrections to the paper, (Corrections to “Wrapper-Based Feature Selection to Classify Flatfoot Disease”).
View article: MetaCluster: An open-source Python library for metaheuristic-based clustering problems
MetaCluster: An open-source Python library for metaheuristic-based clustering problems Open
Clustering, based on metaheuristic algorithms, is a rapidly developing field. Its goal is to use these methods to reframe clustering issues as optimization problems. In this study, we propose an open-source library named MetaCluster. This …
View article: Enhancing Pneumonia Segmentation in Lung Radiographs: A Jellyfish Search Optimizer Approach
Enhancing Pneumonia Segmentation in Lung Radiographs: A Jellyfish Search Optimizer Approach Open
Segmentation of pneumonia on lung radiographs is vital for the precise diagnosis and monitoring of the disease. It enables healthcare professionals to locate and quantify the extent of infection, guide treatment decisions, and improve pati…