IEEE

A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration

Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.
IEEE

MSSEAG-UNet: A Novel Deep Learning Architecture for Cloud Segmentation in Fisheye Sky Images and Solar Energy Forecast

Abstract: This study analyzes sky images captured using a ground-based fisheye camera, aiming to address the challenge of accurately segmenting clouds, which is difficult due to their fuzzy and ...
IEEE

Developing a Deep Learning Powered Classification Logic to Detect Dental Caries Based on Digital Radiographic Images

Abstract: Dental caries remains one of the most prevalent oral health issues worldwide, often leading to pain, tooth loss, and systemic health complications if left undetected. Conventional diagnostic ...
IEEE

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...
IEEE

Efficient and Interpretable Otoscopic Image Classification via Distilled CNN With Adaptive Channel Attention

Abstract: Accurate classification of otoscopic ear images is crucial for early diagnosis of ear pathologies such as Chronic Otitis Media, Earwax Plug, and Myringosclerosis. In this study, we propose a ...
IEEE

GeoFlowNet: Fast and Accurate Subpixel Displacement Estimation From Optical Satellite Images Based on Deep Learning

Abstract: Optical satellite imagery is widely used for estimating ground movement in the aftermath of natural disasters such as earthquakes. This type of imagery enables detailed analysis of the ...
IEEE

Hybrid Integration of CNN and Kolmogorov–Arnold Networks for Multispectral Image Super-Resolution

Abstract: This letter proposes KAN-based multispectral image super-resolution method (KMSR), a novel deep learning framework for multispectral image (MSI) super-resolution (SR) that integrates ...
IEEE

Deep Transfer Learning Based Multi-Classification of Dental Diseases X-Ray Images

Abstract: This research work proposes a deep transfer learning model for multi-classification purposes within dental diseases classed by their X-ray images. The paper elaborates typical challenges ...
IEEE

A Deep Learning Approach for Automated Image Captioning with CNN and LSTM Models

Abstract: Accurately describing a picture has turned out to be a crucial problem, and expert system researchers have always been interested in image captioning, sometimes referred to as characterizing ...
IEEE

Deep Learning-Based Detection and Classification of Copra Cooking Levels Using Faster R-CNN and MobileNet SSD V2

Abstract: This paper explores the performance of two deep learning object detection architectures—Faster R-CNN with Inception V2 and MobileNet SSD V2—for detection and classification of the degree of ...