AZoSensors

Early Smoke/Fire Detection with Vision Sensors in Smart Cities

A new study reports a ViT-YOLOv8 framework for smoke and fire detection, achieving 98.5% precision and improving early ...
IEEE

Enhanced Student Learning Through Facial Emotion Recognition Using Normalized CNN and Deep Learning

Abstract: The identification of facial emotions through FER serves as a vital factor for both human-computer relationships and learning platforms designed for individual needs. The research presents ...
IEEE

Enhanced Small Object Detection Using Multi-Scale Attention for Automated Seabird Detection

Abstract: Commercial fishing vessels catch fish as food in Exclusive Economic Zones to support the New Zealand economy. However, fishers can sometimes accidentally catch seabirds as bycatch, which can ...
IEEE

A Lightweight CNN for CAN-Bus Intrusion Detection

Abstract: Automotive electronic control units (ECUs) typically offer less than 32 kB of on-chip flash memory, presenting a significant challenge for deploying deep-learning models for Controller Area ...
IEEE

Skin Cancer Lesion Detection using CNN with HAM10000 Dataset

Abstract: Skin cancer represents a significant global health challenge, necessitating the development of accurate and accessible diagnostic tools for early detection. Traditional diagnosis of ...
IEEE

Gentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation Learning

Abstract: Dense collections of movable objects are common in everyday spaces—from cabinets in a home to shelves in a warehouse. Safely retracting objects from such collections is difficult for robots, ...
IEEE

Multimodal Arabic Sarcasm Detection Using CNN and BiLSTM

Abstract: Sarcasm detection in Arabic social media is difficult due to linguistic diversity and the need for context beyond text. Most existing work is limited to single-modality approaches. We ...
IEEE

A Deep Learning Framework for Network Intrusion Detection Using hybrid CNN-BiGRU-Multi-Head Attention model

Abstract: This paper describes a fresh IDS framework that utilizes CNN and BiGRU and Multi-Head Attention techniques to develop an improved deep learning approach for network protection from changing ...
IEEE

Precision-Driven Indian Dance Form Detection Using CNN and KNN Models

Abstract: Indian classical dance styles-Bharatanatyam, Kathakali, and Manipuri-were classified through a hybrid model-CNN-KNN, to classify the forms based on image data. It consisted of 10,220 images ...
IEEE

DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering

Abstract: As a fundamental perception task, 3D point cloud detection has become essential for applications in autonomous driving and robotics. However, point cloud detection faces significant ...
IEEE

Multi-Organ Plant Disease Detection Using CNN and Machine Learning: A Root-to-Leaf Approaches

Abstract: Detecting crop diseases is critical but labor-intensive task in agriculture, often requiring expert knowledge and manual inspection. This paper describes an efficient technique for automated ...
IEEE

Enhancing Waste Detection Accuracy with CNN-based YOLO Model

Abstract: Indonesia generated over 60 million tons of waste in 2024, with organic ($41.6 \%$) and plastic ($18.7 \%$) waste being the prevalent types. Low accuracy of existing automated detection ...