IEEE

Lung Cancer Classification Using Modified ResNet Architecture

Abstract: One of the most prevalent and deadly cancers in the world, lung cancer presents serious difficulties for both patients and medical professionals. Even with the quick progress in early ...
IEEE

EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis

Abstract: Facial emotions are expressions of people’s inner feelings. A computer’s ability to recognize emotions is known as emotion recognition (ER), which involves extracting facial characteristics ...

What happened when CNN Travel challenged ChatGPT to come up with guides to our cities

People are increasingly turning to AI-powered tools like ChatGPT for travel-planning advice. Here’s what CNN Travel staff in five major global cities discovered while putting it to the test.
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

Enhanced CNN Architecture for Accurate Waste Classification in Smart Cities

Abstract: Waste management is one of the biggest challenges of the present world as the generation of waste has risen tremendously. In this paper we introduce an automated waste classification system ...
IEEE

Cyclic Learning Rate U-Shaped ResNet Embedded With Dual Attentions for Velocity Model Building

Abstract: Data-driven full-waveform inversion shows great potential for subsurface velocity estimation, but its accuracy is often hindered by susceptibility to local minima and the inherent ...
IEEE

Automatic Early Detection of Tomato Blight Disease Using Deep Neural Networks

Abstract: Crop disease control is crucial for food security since plant illnesses diminish agricultural production. Crop productivity and quality depend on leaf diseases like tomatoes. Early plant ...
IEEE

Improving Skin Lesion Diagnosis with Grasshopper-Optimized ResNet-50 Architecture

Abstract: Skin lesion diagnosis helps doctors find and treat melanoma and skin cancer early. Computer systems that use CNNs and deep learning methods recently proved highly capable at identifying ...
IEEE

Lightweight CNN for Everyday Human Sound Classification on Edge Devices

Abstract: This study presents a lightweight Convolutional Neural Network (CNN) that recognizes everyday sounds on IoT edge devices. Audio signals encompassing daily activities are captured via a ...
IEEE

A Compact CNN Architecture for Detection and Classification of Cotton Leaf Diseases

Abstract: This study presents a comparative analysis of convolutional neural network (CNN) architectures for the classification of cotton leaf diseases, a critical effort in agricultural disease ...
IEEE

Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection

Abstract: This study introduces two novel hybrid machine-learning architectures for multilabel anomaly detection in electrocardiograms (EKGs): a 1D modified ResNet combined with a transformer encoder ...