PM Modi Urges States To Prepare 10-Year Action Plans, Focus On Human Capital To Build Viksit Bharat

At the Pragati meeting, the prime minister noted that nearly 70 per cent of the country’s population falls within the working ...

Rockies’ Top 5 Highest-Paid Starters Ended in Mostly Disaster

The Colorado Rockies have hopefully entered a new era. After three seasons of 100-plus losses, it was certainly time to make ...
IEEE

A Novel Graph-Based Framework for Understanding of Decision-Making Process in Deep Learning Models

Abstract: In the realm of deep learning, the lack of transparency in complex models is a major obstacle for wider adoption and trust in artificial intelligence systems. Current explainability methods ...
IEEE

Deep Learning Meets Traditional AI: A Hybrid CNN-RF Model for Accurate and Explainable Skin Lesion Classification

Abstract: In dermatology, the task of skin lesion classification is a very important one, for early detection and treatment of skin cancer. In this work, we propose a hybrid AI model where ...
IEEE

Hybrid Models for Medical Image Analysis: CNN-SVM in Diabetic Foot Ulcer Detection

Abstract: Diabetic foot ulcer (DFU) is one of the most critical consequences of diabetes characterized by high mortality and potential risks for lower limb amputations. It is important if the disease ...
IEEE

Automating Knee Osteoarthritis Severity Grading with CNN-Attention Hybrid Models

Abstract: To this end, this research proposes a dual CNN attention model to self-attend and assign severity to KOA autonomously. It employs CNNs for feature extraction and attention processes in an ...
IEEE

Enhancing Sensitivity and Specificity in Diabetic Retinopathy Detection Using CNN-LSTM Models

Abstract: Early and accurate detection of diabetic retinopathy (DR), as the leading cause of blindness worldwide, is important to prevent blindness. We propose a hybrid Convolutional Neural Network ...
IEEE

Revolutionizing Diabetic Foot Ulcer Detection with Hybrid CNN-SVM Models: An Accurate and Scalable Approach

Abstract: A major complication of diabetes, Diabetic foot ulcers (DFUs) are recognized by significant health outcomes when detected early. In this work, we propose the novel hybrid CNN-SVM model for ...
IEEE

A Multimodal IoT Sensing System With Hybrid LSTM–CNN Model for Predictive Fault Diagnosis in Elevators

Abstract: This article presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...
IEEE

A Novel CNN Architecture for Alzheimer's Disease Classification Using MRI Images: Comparison with Traditional Machine Learning Models

Abstract: Automated medical image processing has significantly improved with recent advances in deep learning and imaging technologies, particularly in the area of neuroimaging-based Alzheimer's ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

Rolling Bearing Fault Diagnosis Based on VMD-CNN-SLSTM Model

Abstract: Convolutional neural networks (CNN) are limited by the local receptive field, making it difficult to capture the shock features of the cross period. In view of this limitation, a ...