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 ...
GitHub

TRungtu041203/Demographics-extraction-Age-Gender-in-CCTV-Camera-using-InsightFace-DeepFace

A high-performance real-time pipeline for detecting, tracking, and analyzing people in video streams. Achieves ≥25 FPS processing with comprehensive analytics including age and gender estimation.
IEEE

Object Detection Data Synthesis via Box-to-Image Generation Based on Diffusion Models

Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
IEEE

Spatiotemporal Deepfake Video Detection: A Hybrid CNN-Transformer Approach with Frequency Analysis

Abstract: Deepfakes are AI-generated manipulated videos that closely mimic real individuals, posing significant risks to privacy, digital security, and information authenticity. To address these ...
IEEE

A Verilog based Approach for Object Detection using CNN

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...
IEEE

Automated Video Object Detection of Motile Cells Under Microscopy

Abstract: Video object detection (VOD) of motile cells (e.g., bacteria and sperm) under microscopy is challenging due to motion blur, sporadic out-of-focus, and pose variations. Compared with VOD in ...
IEEE

Video Anomaly Detection Based on 3D-CNN Autoencoder with Bidirectional LSTM

Video anomaly detection is a critical component of intelligent surveillance systems aimed at detecting anomalous events in real time. Traditional supervised models require substantial amounts of ...
IEEE

CMNet: A CNN–Mamba Network for Change Detection With Similarity Orientation and Difference Perception

Abstract: Change detection (CD) is a hot research topic in the field of remote sensing (RS), and using convolutional neural networks (CNNs) and Transformers for CD tasks is the mainstream option ...
IEEE

Towards Robust Autonomous Driving: Out-of-Distribution Object Detection in Bird's Eye View Space

Abstract: In autonomous driving, understanding the surroundings is crucial for safety. Since most object detection systems are designed to identify known objects, they may miss unknown or novel ...
IEEE

Early Detection of Paddy Disease and Severity Based Classification Using Variants of CNN - A Step Towards Smart Agriculture

Abstract: Agriculture is the backbone of India, and in the southern region, paddy is the main crop, grown twice a year. Over the years, paddy fields have been affected by different diseases, out of ...
IEEE

Efficient Back-Projection Technique for Multiple Objects Detection and 2D Imaging Through Photonics-Based LFM Radar

Abstract: Detection and imaging play a vital role in modern radar technology and have seen significant interest across various fields, including autonomous vehicles, defense, environmental monitoring, ...
IEEE

A CNN and Deep Learning-based Smart Satellite Surveillance System for Wildfire Detection and Wildlife Damage Assessment

Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...