IEEE

Integrating Graph Neural Networks with Multi-Agent Deep Reinforcement Learning for Dynamic V2X Communication

Abstract: In the rapidly evolving field of Internet of Vehicles technology, Cellular Vehicle-to-Everything (C-V2X) communication has garnered considerable attention due to its superior performance in ...
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 ...
CNET

A New CNN Streaming Subscription Has Arrived. Here's What You Can Watch for $7 a Month

In mid-October, the Warner Bros. Discovery-owned news network announced the launch of All Access, a new subscription streaming tier in the US that arrives today, Oct. 28. The service costs $7 per ...
IEEE

Design of a Low-Power Analog Integrated Deep Convolutional Neural Network

Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...
Tech Xplore

DeepMind introduces AI agent that learns to complete various tasks in a scalable world model

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...
IEEE

Exploring the Capability of Deep Neural Network on Ship Sub-Assembly Weld Seam Recognition

Abstract: To address the problem of robot weld process planning for complex ship sub-assembly work-pieces, this paper explores the capability of the deep neural network models on seam cloud point ...
IEEE

A Hybrid Framework for Acute Lymphoblastic Leukemia Identification Utilizing VIT-CNN Fusion and Immunologically Inspired Deep Feature Selection

Abstract: Acute Lymphoblastic Leukemia (ALL) is a serious blood cancer characterized by the abnormal growth of progenitor white blood cells, which interferes with normal blood cell production. Early ...
IEEE

Deep Learning-based Visible and Infrared Image Fusion using Dual-Branch Attention Network for Enhanced Structural Clarity

Abstract: This paper presents a deep learning-based framework for the fusion of visible and infrared images to enhance image visibility and structural clarity under varying conditions. The proposed ...
IEEE

Data Acquisition and Fusion System Using 1-D CNN Network for Real-Time Bearing Fault Detection

Abstract: A classification system that utilizes the convolutional neural network (CNN) is established for real-time bearing fault detection. The system consists of acquiring the vibration signals ...
IEEE

A Wavelet-Guided Deep Unfolding Network for Single Image Reflection Removal

Abstract: Removing unwanted reflections from images is a fundamental yet challenging problem in low-level computer vision. Recent deep learning-based Single Image Reflection Removal (SIRR) methods ...
IEEE

LCNet: Lightweight Cycle Network Driven by Physical and Deep Prior for Compressed Sensing

Abstract: Deep learning (DL) networks have recently achieved excellent performance on image compressed sensing. However, most existing methods rely on burdened and complex network structures, ...
IEEE

Gas Volume Fraction Measurement for Gas-Liquid Two-Phase Flow Based on Dual CNN-Transformer Mixture Neural Network

Abstract: Accurate gas volume fraction (GVF) measurement in gas-liquid two-phase flow remains a key challenge in industrial process monitoring and control. In order to address this, a deep ...