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 ...
Frontiers

Artificial intelligence and deep learning for neural data analysis

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
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

Deep Learning-Based Classification of Coconut Leaf Diseases Using Optimized CNN Models

Abstract: Leaf diseases of coconut severely affect the yield and quality of the crops. Early detection is imperative for any control measures to be effective. Here, an approach on the deep ...
CNN

‘The damage is beyond repair’: The CDC is facing another round of deep staff cuts

The US Centers for Disease Control and Prevention suffered another round of deep staff cuts late Friday, with disease detectives, outbreak forecasters, policy and data offices among those impacted, ...
IEEE

neOptimizing Deep Learning Model CNN-BiLSTM for Fake Product Review Classification

Abstract: The increase in e-commerce users makes product reviews one of the triggers for consumers to make purchasing decisions. Helpful product reviews is critical for enhancing user experience and ...
WRAL

How CNN conducted its deep dive into independent US adults

(CNN) — The CNN poll conducted by SSRS was designed to offer a deep-dive look at the different types of independents that make up this critical group in American politics. (CNN) — The CNN poll ...
IEEE

Optimized CNN-Based Deep Learning for ECG Signal Classification in IoT Healthcare Monitoring Systems

Abstract: The suggested technique improves ECG signal categorization by combining Particle Swarm Optimization (PSO) with Convolutional Neural Networks (CNN). Extracting features and categorization are ...
IEEE

Tech-CNN: Deep Learning-Based Framework With Stacked Sequence Encoding for Predicting the Growth Potential of Technologies

Abstract: This paper presents an enhanced deep learning-based prediction framework, Tech-CNN, designed to predict the future trajectory of emerging technologies based on academic publication data. The ...