IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
IEEE

Water Quality Assessment Leveraging CNN-LSTM and Gradient Boosting for Prediction and Classification

Abstract: Accurate prediction of water quality can support in water resource management by the early warning of water pollution. Water quality assessment is crucial for ensuring the availability of ...
IEEE

Optimizing CNN-GRU Hybrid Ratios for Resource-Constrained Audio Classification: A Systematic Study From Parameter Efficiency to MCU Deployment

Abstract: Urban sound classification has become a critical enabling technology for Internet of Things (IoT) applications, smart cities, and environmental monitoring systems. Despite advances in deep ...
IEEE

AI-based Circuit Fault Detection and Classification using Python Simulation

Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...
IEEE

Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification

Abstract: The automated classification of phonocardiogram (PCG) recordings represents a substantial advancement in cardiovascular diagnostics. This paper presents a systematic comparison of four ...
IEEE

Histopathological Image Processing for Lung Carcinoma Classification: A Comparative Study of Stain Normalization Methods for CNN-Based Analysis

Abstract: In the present era, Cancer-related deaths are predominantly driven by lung cancer globally, causing significant deaths across all demographics. Precise prediction and evaluation of treatment ...
IEEE

Hierarchical Byte-Level Modeling via CNN and Mamba for Encrypted Traffic Classification

Abstract: Encrypted traffic classification, which aims to identify application-layer semantics without decrypting packet pay-loads, has emerged as a pivotal challenge in modern network intelligence ...
IEEE

Deep Learning-Based Acoustic Classification of Animal Species Using Convolutional Neural Networks

Abstract: The project explores the identification of animal species through sound acoustics, employing deep learning methods for classifying animal vocalizations. The workflow includes loading and ...
IEEE

A CNN-Based Approach for Freshness Classification of Fruits and Vegetables

Abstract: Fresh storage of fruits and vegetables is crucial for minimising waste, consumer health, and quality of food. Produce freshness classification can greatly improve supply chain effectiveness ...
IEEE

A Spatio-Temporal Deep Neural Architecture Combining CNN and LSTM for Intelligent Exoplanet Detection and Classification

Abstract: Uncovering exoplanets is hence an important endeavor in the field of astronomy, providing key insight into the potential presence of life in locations other than our solar system. The ...
IEEE

Hybrid CNN–SVM Model for Early Cancer Detection and Multiclass Tumor Classification Using Biomedical Imaging Data

Abstract: Improving patient survival rates and treatment results depends on early cancer identification and precise classification. In order to improve the efficacy of multiclass tumour classification ...
IEEE

Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna

Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...