Que.com on MSN

Enhancing Deep Neural Networks with Architectural Optimization Techniques

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...
Deep Learning with Yacine on MSN

What Are Pooling Layers in Deep Neural Networks? Explained Simply

Learn what pooling layers are and why they’re essential in deep neural networks! This beginner-friendly explanation covers ...
Deep Learning with Yacine on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
ZME Science

AI Turns Brain Scans Into Full Sentences and It’s Eerie To Say The Least

AI can now turn brain scans into text. It’s not mind reading but it’s pretty close.

Scientists Discovered 1,300 Hidden Parts of Your Brain—And They Could Help Unlock the Mystery of Consciousness

AI was the key that unlocked these brain “neighborhoods.” They could also light the way to curing disorders like Alzheimer’s.
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 ...
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 ...
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 ...