IEEE

Animal Sound Classification for Wildlife Surveillance

Abstract: Wildlife conservation is very important to help monitor animal populations and behaviors, aiding conservation efforts, especially for endangered species.This study presents an non-intrusive ...
IEEE

Deep Learning Meets Traditional AI: A Hybrid CNN-RF Model for Accurate and Explainable Skin Lesion Classification

Abstract: In dermatology, the task of skin lesion classification is a very important one, for early detection and treatment of skin cancer. In this work, we propose a hybrid AI model where ...
IEEE

Enhancing GNSS Localization in Urban Canyons With a Hybrid CNN-Autoencoder Approach to LOS/NLOS Classification

Abstract: Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications ...
IEEE

A Novel CNN Architecture for Alzheimer's Disease Classification Using MRI Images: Comparison with Traditional Machine Learning Models

Abstract: Automated medical image processing has significantly improved with recent advances in deep learning and imaging technologies, particularly in the area of neuroimaging-based Alzheimer's ...
IEEE

Harnessing the Power of CNN and SVM for Robust Cattle Disease Classification

Abstract: The study article offers a comprehensive investigation of bovine health status identification powered by a CNN-SVM hybrid technique to elevate diagnostic technical abilities in veterinary ...
IEEE

Enhanced CNN Architecture for Accurate Waste Classification in Smart Cities

Abstract: Waste management is one of the biggest challenges of the present world as the generation of waste has risen tremendously. In this paper we introduce an automated waste classification system ...
IEEE

An SAGPSO-CNN Approach for Supervised Fault Classification in MVdc Shipboard Power Systems

Abstract: All-electric ships (AESs) utilizing medium-voltage dc (MVdc) shipboard power systems (SPSs) rely on a limited number of generators to supply power to propulsion units and onboard loads. To ...
IEEE

A Lightweight CNN for Real-Time Domestic Animal Sound Classification on IoT Devices Using Time-Frequency Imaging

Abstract: This paper presents a novel lightweight Convolutional Neural Network (CNN) for domestic animal sound classification, optimized for deployment on Raspberry Pi Internet of Things (IoT) like ...
IEEE

Lightweight CNN for Everyday Human Sound Classification on Edge Devices

Abstract: This study presents a lightweight Convolutional Neural Network (CNN) that recognizes everyday sounds on IoT edge devices. Audio signals encompassing daily activities are captured via a ...
IEEE

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...
IEEE

Hybrid CNN-GCN Network for Hyperspectral Image Classification

Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial ...
IEEE

Advanced CNN Architectures for Improved Garbage Image Classification: An In-depth Evaluation

Abstract: Convolutional Neural Networks (CNNs) have become instrumental in advancing image classification, particularly in the context of garbage image classification, a critical component for ...