IEEE

Vision Transformer for Diabetic Retinopathy Diagnosis: A Deep Learning Approach Beyond CNN

Abstract: Automated retinal disease detection, particularly in Diabetic Retinopathy (DR) classification, has received significant attention. While Convolutional Neural Networks (CNNs) have been the ...
IEEE

Deep Learning-Based Fault Diagnosis in Quadcopter Actuators: A CNN-LSTM Network with Bayesian Optimization

Abstract: In recent years, deep neural networks have shown promising results in modern fault diagnosis. This paper focuses on diagnosing actuator faults in quadcopters using a deep learning strategy.
IEEE

Faster R-CNN vs SSD: A Deep Learning Approach for Nodule Detection in Lung Cancer Diagnosis

Abstract: Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone ...
IEEE

Deep Learning Driven X-ray Classification for Pneumonia Detection Using CNN

Abstract: Major deaths (55% or 1.5 million) of LRI (Lower Respiratory Infections) are caused due to Pneumococcal pneumonia. LRI is the 5th highest cause of demise as mentioned by the Global Burden of ...

Web3 Is Coming For Jobs: How Automation, Blockchain Can Upend India’s Workforce, What Can Be Done

The question is not only which jobs will vanish, but who replaces them, how firms, states manage the transition, whether the ...
IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

Visualizing Crop Disease Detection Exploring Deep Learning with Custom CNN Model and XAI for Enhanced Interpretability

Abstract: Accurately detecting plant diseases is essential for safeguarding food security and promoting agricultural sustainability. This study presents an advanced deep learning approach using ...
IEEE

A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection

Abstract: Landslides inflict substantial societal and economic damage, underscoring their global significance as recurrent and destructive natural disasters. Recent landslides in northern parts of ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.
IEEE

CNN-Transformer-Bi-LSTM: A Hybrid Deep Learning Framework for Wearable Sensor-Based Human Activity Recognition

Abstract: Human activity recognition (HAR) focuses on identifying and classifying human activities based on data collected from various sources. Its importance lies in its wide range of applications, ...
Peninsula Daily News

A GROWING CONCERN: Learn the basics of root pruning

WELL, IT APPEARS the rainy fall weather has arrived, which is a good thing. As is seeing snow up in the mountains. As promised last week, I will explain the advantages to several types of root pruning ...