Improved dipper-throated optimization for forecasting metamaterial design bandwidth for engineering applications
Metamaterials have unique physical properties. They are made of several elements and are
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
[HTML][HTML] Computational modeling for medical data: From data collection to knowledge discovery
Biomedical data encompasses images, texts, physiological signals, and molecular omics
data. As the costs of various data acquisition methods, such as genomic sequencing …
data. As the costs of various data acquisition methods, such as genomic sequencing …
Optimizing truss structures using composite materials under natural frequency constraints with a new hybrid algorithm based on cuckoo search and stochastic paint …
This article highlights the absence of published paradigms hybridized by The Cuckoo
Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using …
Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using …
Meta-learning for real-world class incremental learning: a transformer-based approach
Modern natural language processing (NLP) state-of-the-art (SoTA) deep learning (DL)
models have hundreds of millions of parameters, making them extremely complex. Large …
models have hundreds of millions of parameters, making them extremely complex. Large …
A reinforcement learning approach for reducing traffic congestion using deep Q learning
Nowadays, traffic congestion is a significant issue globally. The vehicle quantity has grown
dramatically, while road and transportation infrastructure capacities have yet to expand …
dramatically, while road and transportation infrastructure capacities have yet to expand …
Cloud-Cyber Physical Systems: Enhanced Metaheuristics with Hierarchical Deep Learning-based Cyberattack Detection
Abstract Cyber-Physical Systems (CPS) integrate several interconnected physical
processes, networking units, and computing resources, along with monitoring the processes …
processes, networking units, and computing resources, along with monitoring the processes …
Novel Architecture for Image Classification Based on Rough Set
S Nivetha, HH Inbarani - International Journal of Service Science …, 2023 - igi-global.com
Abstract The Computed Tomography (CT) scan images classification problem is one of the
most challenging problems in recent years. Different medical treatments have been …
most challenging problems in recent years. Different medical treatments have been …
Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Diabetic retinopathy (DR) significantly burdens ophthalmic healthcare due to its wide
prevalence and high diagnostic costs. Especially in remote areas with limited medical …
prevalence and high diagnostic costs. Especially in remote areas with limited medical …
[PDF][PDF] khodadadi, N.; Abualigah, L.; Khafaga, DS; Ahmed, AE Improved Dipper-Throated Optimization for Forecasting Metamaterial Design Bandwidth for Engineering …
Metamaterials have unique physical properties. They are made of several elements and are
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
Enhancing Decision-Making in Highway Overtaking Scenarios with Graph Convolution Reinforcement Learning
MK Sam, W Gee, S Arkhstan, H Khan… - Journal of Computer …, 2024 - jcsis.org
Autonomous vehicles have a number of open challenges, one of which is decision-making
regarding motion, particularly while operating in an environment that is both complex and …
regarding motion, particularly while operating in an environment that is both complex and …