IEEE

MonoICT: A Monocular 3-D Object Detection Model Integrating CNN and Transformer

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
IEEE

P4-INT-Based Network Intrusion Detection Method Using CNN-BiLSTM with Multi-Head Attention

Abstract: With the widespread use of Internet services, the risk of cyber attacks has increased significantly. Existing anomaly-based network intrusion detection systems suffer from slow processing ...
IEEE

Face Forgery Video Detection via Temporal Forgery Cue Unraveling

Abstract: Face Forgery Video Detection (FFVD) is a critical yet challenging task in determining whether a digital facial video is authentic or forged. Existing FFVD methods typically focus on isolated ...
IEEE

Vitamin Deficiency Detection Using CNN-Based Image Analysis of Skin, Tongue and Nails

Abstract: Vitamin deficiency is a widespread global health issue that affects millions, often leading to severe physiological and dermatological complications. Early detection is essential for timely ...
IEEE

Recognition of Eye Diseases Based on Convolutional Neural Networks (CNN)

Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...
IEEE

Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection

Abstract: We describe the Forensics Adapter, an adapter network designed to transform CLIP into an effective and generalizable face forgery detector. Although CLIP is highly versatile, adapting it for ...
IEEE

Toward Real-World ECG-Based Human Activity Recognition: Optimal Window Size and Subject-Independent 1-D CNN Approach

Abstract: Human activity recognition (HAR) is essential for advancing healthcare, fitness, and patient monitoring because it provides critical insights into human physical movements. This study ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

Deep Learning-Based Malaria Detection: A Robust CNN Framework for Accurate and Automated Diagnosis

Abstract: This research suggests a strong framework for automated malaria detection using a Convolutional Neural Network (CNN) model. The dataset, sourced from Kaggle, consists of 27,558 ...
IEEE

Reaction Rumble : A Facial Expression Recognition Application using CNN

Abstract: However, CNNs and SSD MobileNet serve a slightly different plane of purpose. Their main adaptability lies in the differentiation of features of face landmarks at various levels, such as eyes ...
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Joe DiMeo speaks to CNN about his historic face and double hand transplant

CNN’s Bianna Golodryga speaks with Joe DiMeo, the recipient of a historic face and double hand transplant after a 2018 car accident. Medicare update: New ID verification coming for seniors next year ...
CNN

A soaked tent or a bombed-out ruin: Gazans face a grim choice this winter

Palestinians in Gaza face an impossible choice this winter. With more than 400,000 homes destroyed in the war, Gazans are being forced to choose between living in tents exposed to the elements or run ...