IEEE

Decentralized CNN Integrated Federated Learning for Intrusion Detection System

Abstract: As the technological landscape evolves rapidly in Industry 5.0, cyberspace is expanding, creating more diverse and complex data. This development not only makes industries more sustainable, ...

AI-powered features begin creeping deeper into the bedrock of Windows 11

According to Microsoft’s Consumer Chief Marketing Officer Yusuf Mehdi, “AI PCs” should be able to recognize input “naturally, ...
Deep Learning with Yacine on MSN

What is VGG in Deep Learning?

Discover VGG, a popular convolutional neural network architecture, and learn why it’s important in computer vision tasks.
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
Frontiers

Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
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 ...

WiMi Studies Quantum Dilated Convolutional Neural Network Architecture

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that active exploration is underway in the ...
IEEE

Research on Ultrasonic Nondestructive Testing Method Based on Multimodal Sensor Fusion and Deep Learning

Abstract: In this paper, an innovative ultrasonic nondestructive testing (NDT) method is proposed, which combines multimodal sensor fusion technology with deep learning algorithms to address the ...
IEEE

Deep Learning Approaches for Lung Cancer Detection: A Comprehensive Evaluation of CNN

Abstract: Lung cancer is one of the most prevalent and deadly cancers, characterized by the uncontrolled growth of abnormal cells in the lung tissue. Early detection is critical for improving survival ...
IEEE

GAS: A Flexible CNN Accelerator Architecture for Heterogeneous Dataflow Implementation

Abstract: Convolutional neural networks (CNNs) play an important role in various fields. However, the efficient processing of CNNs presents a significant challenge due to substantial variations within ...
IEEE

Advanced Traffic Sign Detection Using a Hybrid Deep Learning Architecture with Enhanced Dense Layer Customization

Abstract: Accurate traffic sign detection is crucial for autonomous driving systems to ensure road safety and enable reliable decision-making. Traditional models like ResNet101 and Inception V3 offer ...
IEEE

An Agro Automation System for Endurable Sunflower Disease Recognition: A CNN-Based Transfer Learning Approach

Abstract: The Helianthus annuus, commonly known as the sunflower, holds significant ornamental and economic value due to its vibrant appearance and high-quality oil-yielding seeds. Every part of the ...