Image data augmentation approaches: A comprehensive survey and future directions
Deep learning algorithms have exhibited impressive performance across various computer
vision tasks; however, the challenge of overfitting persists, especially when dealing with …
vision tasks; however, the challenge of overfitting persists, especially when dealing with …
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …
and treatment services. As different tumors in mammography have dissimilar densities …
A survey on multi-agent reinforcement learning applications in the internet of vehicles
The development of the Internet of Vehicles (10 V) and autonomous vehicles plays a
significant role in intelligent transportation systems (ITS) that are empowered by vehicu-lar …
significant role in intelligent transportation systems (ITS) that are empowered by vehicu-lar …
Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered …
Explainable artificial intelligence (XAI) aims to offer machine learning (ML) methods that
enable people to comprehend, properly trust, and create more explainable models. In …
enable people to comprehend, properly trust, and create more explainable models. In …
Point-of-interest preference model using an attention mechanism in a convolutional neural network
In recent years, there has been a growing interest in develo** next point-of-interest (POI)
recommendation systems in both industry and academia. However, current POI …
recommendation systems in both industry and academia. However, current POI …
A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images
A Aghamohammadi, SA Beheshti Shirazi… - Signal, Image and Video …, 2024 - Springer
Ergonomic assessments and sports and health monitoring play a crucial role and have
contributed to sustainable development in many areas such as product architecture, design …
contributed to sustainable development in many areas such as product architecture, design …
Understanding EEG signals for subject-wise definition of armoni activities
In a growing world of technology, psychological disorders became a challenge to be solved.
The methods used for cognitive stimulation are very conventional and based on one-way …
The methods used for cognitive stimulation are very conventional and based on one-way …
Utilizing customized CNN for brain tumor prediction with explainable AI
Timely diagnosis of brain tumors using MRI and its potential impact on patient survival are
critical issues addressed in this study. Traditional DL models often lack transparency …
critical issues addressed in this study. Traditional DL models often lack transparency …
Brain tumor detection and classification in MRI using hybrid ViT and GRU model with explainable AI in Southern Bangladesh
Brain tumor, a leading cause of uncontrolled cell growth in the central nervous system,
presents substantial challenges in medical diagnosis and treatment. Early and accurate …
presents substantial challenges in medical diagnosis and treatment. Early and accurate …
[HTML][HTML] Mobile robot path planning based on bi-population particle swarm optimization with random perturbation strategy
B Tao, JH Kim - Journal of King Saud University-Computer and …, 2024 - Elsevier
Path planning for mobile robots poses a challenging optimization problem, requiring the
discovery of a near-optimal path within diverse constraints. Conventional particle swarm …
discovery of a near-optimal path within diverse constraints. Conventional particle swarm …