Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
The COVID-19 is one of the most significant obstacles that humanity is now facing. The use
of computed tomography (CT) images is one method that can be utilized to recognize …
of computed tomography (CT) images is one method that can be utilized to recognize …
HGRBOL2: human gait recognition for biometric application using Bayesian optimization and extreme learning machine
The goal of gait recognition is to identify a person from a distance based on their walking
style using a visual camera. However, the covariates such as a walk with carrying a bag and …
style using a visual camera. However, the covariates such as a walk with carrying a bag and …
Internet‐of‐things‐based suspicious activity recognition using multimodalities of computer vision for smart city security
Automatic human activity recognition is one of the milestones of smart city surveillance
projects. Human activity detection and recognition aim to identify the activities based on the …
projects. Human activity detection and recognition aim to identify the activities based on the …
A novel variant of moth flame optimizer for higher dimensional optimization problems
Abstract Moth Flame Optimization (MFO) is a nature-inspired optimization algorithm, based
on the principle of navigation technique of moth toward moon. Due to less parameter and …
on the principle of navigation technique of moth toward moon. Due to less parameter and …
Deep human motion detection and multi-features analysis for smart healthcare learning tools
Unhealthy lifestyle causes several chronic diseases in humans. Many products are
introduced to avoid such illnesses and provide e-learning-based healthcare services …
introduced to avoid such illnesses and provide e-learning-based healthcare services …
TS2HGRNet: a paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities
Industrial advancements and large financial stakes are rousing to grasp the aims of smart
cities. Their key aim is to increase efficiency and citizens' quality of life. Human Gait …
cities. Their key aim is to increase efficiency and citizens' quality of life. Human Gait …
[PDF][PDF] Suspicious activities recognition in video sequences using DarkNet-NasNet optimal deep features
Human Suspicious Activity Recognition (HSAR) is a critical and active research area in
computer vision that relies on artificial intelligence reasoning. Significant advances have …
computer vision that relies on artificial intelligence reasoning. Significant advances have …
Human gait recognition based on sequential deep learning and best features selection
Gait recognition is an active research area that uses a walking theme to identify the subject
correctly. Human Gait Recognition (HGR) is performed without any cooperation from the …
correctly. Human Gait Recognition (HGR) is performed without any cooperation from the …
Hybrid Metaheuristics with Deep Learning based Fusion Model for Biomedical Image Analysis
Biomedical image analysis has played a pivotal role in modern healthcare by facilitating
automated analysis and interpretation of medical images. Biomedical image classification is …
automated analysis and interpretation of medical images. Biomedical image classification is …
Multi-objective quasi-reflection learning and weight strategy-based moth flame optimization algorithm
For the simultaneous optimization of many conflicting objectives, the capability of
optimization algorithms must be increased. In this research, a non-dominated sorting (NDS) …
optimization algorithms must be increased. In this research, a non-dominated sorting (NDS) …