IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

CID4IoT: IoT-Oriented Command Injection Vulnerability Detection Based on Critical Code Extraction and LLM-Analysis

Abstract: The Internet of Things (IoT) devices have brought invaluable convenience to our daily lives. However, they also introduce significant security challenges. Common vulnerabilities in numerous ...
SiliconANGLE

Defense startup Shield AI raises $2B, acquires flight simulation company Aechelon

Shield AI Inc. today announced that it’s raising a $2 billion late-stage funding round at a post-money valuation of $12.7 billion. Three quarters of the capital will be provided through a Series G ...
SiliconANGLE

Agentic retail dispute resolution startup Glimpse raises $35M from Andreessen Horowitz and others

Dispute-tracking software startup Glimpse said today it has closed on a $35 million round of funding to accelerate its plan to use artificial intelligence to help brands gain more leverage over ...
IEEE

Speech Feature Extraction and Selection for Mental Health Analysis: Methods, Tools, and Challenges

Abstract: In recent years, speech features have gained increasing application in mental health and psychiatric research due to their rich acoustic and linguistic information. This review ...
IEEE

SCAFNet: A Semantic Compensated Adaptive Fusion Network for Remote Sensing Images Change Detection

Abstract: Current CNN–Transformer hybrid methods for remote sensing change detection aim to address the limitations of the CNNs’ constrained receptive fields and the Transformers’ local detail ...
IEEE

Deep Feature Extraction for Facial Recognition Based Attendance: A Comparative Analysis of CNN and Machine Learning Classifiers

Abstract: This study presents a comparative evaluation of deep feature extraction and machine learning classifiers for facial recognition-based student attendance systems. Two pretrained convolutional ...
IEEE

PrefixCAN-Signal: PrefixSpan-based Automatic Controller Area Network Signal Extraction

Abstract: Modern vehicles rely heavily on Controller Area Network (CAN) communication for time-critical functions such as engine control and powertrain management. As vehicles become increasingly ...
IEEE

SEGS-MobileNetV2: An Enhanced Lightweight CNN for Efficient Feature Representation in Industrial Defect Classification

Abstract: Industrial defect images are often low-resolution and exhibit subtle texture variations, making fine-grained feature extraction particularly challenging. To address these issues, we propose ...
IEEE

Dual-Stage Feature Optimization: Fault Classification Combining Signal Decomposition and LightGBM

Abstract: To improve the fault diagnosis accuracy of synchronous condenser bearings, this study proposes an intelligent diagnostic method based on multi-domain feature fusion. First, vibration signals ...
The New York Times

The Weather Is Getting Wilder, and Some See a Dire Signal in the Data

Several of the Earth’s systems are changing faster than predicted as global temperatures rise, scientists say. By David Gelles Scientists who study global warming are currently wrestling with a ...
IEEE

Transformer-CNN Hybrid Architecture for Heart Disease Risk Stratification: Leveraging Self-Attention Mechanisms and Convolutional Feature Extraction

Abstract: Heart disease is the leading global cause of death, requiring accurate and interpretable prediction models. This thesis proposes a Transformer-CNN hybrid that integrates CNN local feature ...