IEEE

A Novel CNN-Based Approach for Accurate Binary Classification of Diabetes Using Clinical Data

Abstract: Millions of individuals worldwide suffer from a chronic metabolic disease called diabetes. Conventional diagnos-tic techniques frequently depend on expert interpretation and clinical testing ...
IEEE

Volumetric Hadamard Normalization for Synthetic Aperture Sonar Sub-Bottom Target Classification

Image normalization strategies for 3-D synthetic aperture sonar (SAS) is a relatively underexplored area for target classification leveraging convolutional neural networks (CNNs). For 3-D SAS data, ...
IEEE

Field Demonstration of a Dual-Band Photonic Radar for Real-Time ISAR Drone Classification

Abstract: This article presents a dual-band (X/Ku-band) photonic radar system implemented on a single hardware platform to detect and classify low-radar cross-section (RCS) aerial targets. The system ...
IEEE

SwinCNN+OE: A Swin Transformer and CNN Architecture for Breast Histopathology Classification with OOD and Grad-CAM Integration

Abstract: This study aimed to design and evaluate a fusion deep learning architecture (SwinCNN + OE) for robust and interpretable breast cancer classification using histopathological images. The ...
IEEE

A Comparative Study of CNN, Fine-Tuned Transformer, and Fused Attention Models for Vocal Emotion Classification

Abstract: The automated recognition of emotions from speech is a pivotal component of intelligent human-computer interaction. This paper presents a comparative study of three deep learning paradigms ...
IEEE

Early Detection of Paddy Disease and Severity Based Classification Using Variants of CNN - A Step Towards Smart Agriculture

Abstract: Agriculture is the backbone of India, and in the southern region, paddy is the main crop, grown twice a year. Over the years, paddy fields have been affected by different diseases, out of ...
IEEE

An Ensemble Deep Learning Model Using CNN, LSTM and Autoencoder for EEG-Based Parkinson’s Disease Classification

Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
IEEE

Open-Set Classification of Maritime Radar Small Targets Using OpenMax Layer and Supervised Variational Auto Encoder

Abstract: Open-set classification of small targets in high-resolution maritime radars is a difficult problem. Due to various small targets, classifiers in service always encounter samples from unknown ...
imdb.com

Donald Trump Will Return To CNN, Long His Favorite Media Target, For Town Hall Event

IMDb.com, Inc. übernimmt keine Verantwortung für den Inhalt oder die Richtigkeit der oben genannten Nachrichtenartikel, Tweets oder Blog-Beiträge. Dieser Inhalt wird nur zur Unterhaltung unserer ...
IEEE

Cinematic Scene Classification and Shot Boundary Detection Using Hybrid CNN-LSTM Networks

Abstract: Cinematic scene classification and shot border recognition are two important tasks that are used to automate the analysis and division of video content. This makes it easier to find and ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...