IEEE

Pao-Ding: Accelerating Cross-Edge Video Analytics via Automated CNN Model Partitioning

Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
IEEE

Human-Centric Service Offloading With CNN Partitioning in Cloud-Edge Computing-Empowered Metaverse Networks

Abstract: Metaverse is an emerging paradigm of modern consumer entertainment that aims to create a fully immersive, hyper-spatial, and extremely interoperable virtual space for smart applications, ...
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 ...
Analytics Insight

AI-Powered Pest and Disease Detection in Farming

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
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

Optimized Quantum CNN With Improvised iHow Algorithm for MRI-Based Dementia Diagnosis

Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...
IEEE

GCA-YOLO: An Edge-Optimized Traffic Sign Detection Model

Abstract: To address the challenges of small target features being less prominent, susceptibility to background interference, and sample imbalance in road traffic sign detection, which leads to ...
IEEE

Research on ice thickness prediction of power transmission lines based on SO-CNN-LSTM algorithm

One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...
IEEE

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector

Abstract: Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a ...
IEEE

Depthwise Convolution with Winograd Algorithm for Efficient CNN Acceleration

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
IEEE

Infrared small target detection algorithm improved based on YOLOv8

Abstract: To address the challenges of small imaging area, low resolution, occlusion susceptibility, and detection inaccuracy in infrared small target recognition, this paper proposes an ...