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

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

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

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 ...
IEEE

A Deep Learning-Based Fire Detection System for Ships Using CNN-LSTM Networks

Abstract: In the maritime field, major ship fire incidents cause significant property damage and seriously threaten crew members’ safety. Therefore, deploying early fire detection and warning systems ...
IEEE

Fault Diagnosis of Pneumatic Control Valves Using Deep Learning: A Comparative Analysis of DCNN, 1D CNN, and LSTM Models

Abstract: Pneumatic control valves play a crucial role in process industries by controlling the flow of fluids in pipelines based on control signals, typically between 4-20 mA. They regulate key ...
IEEE

Research on Image Classification Based on CNN-Transformer and ResNet Neural Network

Abstract: With the rapid development of deep learning, Convolutional Neural Network (CNN), Vision Transformer, and Residual Network (ResNet) have become commonly used and efficient technologies in ...
Sports Illustrated

Bears unlikely to face top Commanders deep threat per NFL Network

A few weeks ago there were fleeting Bears hopes they might get by without facing injured quarterback Jayden Daniels in the Hail Mary rematch game. Daniels, however, recovered from a knee injury to ...