OpenAlex topic

Advanced Neural Network Applications

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OpenAlex 2,040 works 289 author topics

Works

2,040 works

Attention-Enhanced MobileNetV2 for Accurate and Deployable Brain Stroke Detection 2026
Stroke is a serious neurological condition that causes high morbidity and mortality rates worldwide. Rapid and accurate diagnosis is critical to improving patient treatment and quality of life. To address this issue, two lightweight deep learning models based on MobileNetV2 were designed for stroke diagnosis and class…
A Convex Standardization-Based Squashing Function for Capsule Networks 2026
No abstract yet.
Single Detect Focused YOLO Framework for Robust Mitotic Figure Detection 2026
No abstract yet.
Combining 3D Urban Objects from All Around the World to Improve Object Classification and Semantic Segmentation 2026
Abstract Given the growing number of applications in urban planning and large-scale digital twins, the development of effective solutions for urban point cloud classification is of extreme interest for the R&D community and commercial sector. State-of-the-art neural networks commonly lack adequate cross-dataset genera…
Overview of computer vision techniques for object detection, tracking, and recognition 2026
No abstract yet.
A Systematic Deep Learning Framework for Brain Tumor Detection and Classification 2026
No abstract yet.
Hybrid Architecture for the Detection of AI-Generated Synthetic Images 2026
Artificial Intelligence (AI) generated images have attracted significant attention in recent years due to the rapid development of generative AI and Latent Diffusion Models (LDMs). Therefore, identifying such generated images is crucial for both ethical and legal reasons. Nevertheless, accurately performing this ident…
Hierarchical Swin U-Net for Fine-Grained Damage Assessment from Oblique UAV Imagery: The Case of Hatay 2026
Rapid and accurate assessment of building damage is paramount for effective disaster response operations. This paper addresses the semantic segmentation challenges in detecting structural destruction following the devastating earthquakes in Turkey on February 6, 2023. Traditional Convolutional Neural Networks (CNNs) o…
An Application for Scene Classification Using Transfer Learning 2026
Scene classification using satellite imagery has become an important task in computer vision. Deep learning (DL), a machine learning approach inspired by the human brain, is highly effective at identifying patterns and structures in images through neural networks. This study aims to evaluate the impact of transfer lea…
BRAIN TUMOR SEGMENTATION USING U-NET-BASED DEEP LEARNING MODELS 2026
When examining segmentation methods developed for brain tumor detection, a significant gap exists in the comparative performance analysis of standard and hybrid U-Net models. This study systematically evaluates four Convolutional Neural Network (CNN) models to address this gap, particularly regarding the practical eff…
An Automated Deep Learning Pipeline for Panel Segmentation, Defect Detection, and 3D Reconstruction in Impact Test Analysis 2026
No abstract yet.
Automated Industrial Surface Defect Detection on Bolts Using Deep Learning 2026
Defects in the head region of bolts used as fasteners directly affect load transfer, the proper transmission of tightening torque, and the safety of on-site maintenance and repair operations. In mass production lines, monitoring such defects primarily through operator inspection and infrequent sampling is both prone t…

Academicians

289 academicians