IEEE

Pothole detection on Roads using CNN for Autonomous vehicles

Abstract: Pothole is a large fissure while the vehicles are on the roadways. The potholes usually lead to underneath caverns and pits in the road to make it difficult to ride. If the vehicles are ...
IEEE

Visual Malware Classification Using a CNN

Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
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

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
IEEE

Compressed CNN for Inferring Rapid RF Fingerprints Using Memristor Crossbar Array

Abstract: In response to the growing demand of authenti-cating wireless devices in a large pool of internet of things (IoT) network, a convolutional neural network (CNN) has proposed to identify Wi-Fi ...
IEEE

Comparative Analysis of CNN and KNN for Blood Group Detection Using Fingerprint Images

Abstract: Correct determination of blood group is necessary for emergency, legal proceedings, and discharge. Traditional methods depend on taking blood samples, which might not be suitable during ...
IEEE

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
IEEE

An Enhanced Approach to Detect Driver Drowsiness System Using Opencv and Keras

Abstract: The phenomenon of driver drowsiness constitutes a critical determinant in the incidence of road traffic accidents, resulting in numerous injuries and fatalities on a global scale. The ...
IEEE

Pipeline for Real-Time Drowsiness Detection Using Pre-Trained CNN Model

Abstract: Drowsy driving being one of the most significant risks to road safety, results in numerous fatal road mishaps across the globe. Casualties and mental trauma haunt the affected individuals ...
CNN

White House says it will use tariff revenue to fund federal food aid for mothers and young children

Editor’s Note: The Trump administration has clarified that it will use Section 32 tariff revenue, which typically supports child nutrition programs, to extend funding for WIC during the shutdown — ...
IEEE

Accurate Fake News Detection in Text-Based Content Using K-Nearest Neighbor, LSTM, MLP and CNN Models

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...
IEEE

Enhanced Hybrid Intrusion Detection System using PSO-Optimized CNN Architecture

Abstract: Cyberattacks have grown into enduring threats, demanding advanced measures to secure vital data and systems. Although firewalls provide basic traffic filtering, they often fall short against ...