IEEE

Benchmarking of IMU-Based Gait Event Detection Algorithms Across Diverse Terrain Conditions

Abstract: Objective: Walking on irregular terrains is a common situation in everyday life. The accurate detection of gait events is of paramount importance for characterizing and analyzing gait. While ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Frontiers

Early Detection and Severity Classification of Verticillium Wilt in Cotton Stems Using Raman Spectroscopy and Machine Learning

The final, formatted version of the article will be published soon. The early detection of Verticillium wilt (VW) in cotton is a critical challenge in agricultural disease management. Cotton, a vital ...
IEEE

Smart Agriculture: A CNN-Based Approach for Crop Disease Classification and Detection

Abstract: Agriculture is the backbone of every nation's economy. With the global population steadily increasing, meeting the rising demand for food has become a major challenge. In India, crop ...
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

Bridging CNNs and Transformers: A Comparative Study of EfficientNet, ResNet, and ViT for Plant Disease Detection

Abstract: The research is to study and compare Vision Transformers (ViT), EfficientNet, ResNet Deep learning algorithms for identifying plant diseases. Advanced Neural Networks based model for plant ...
IEEE

Plant Disease Detection Using Deep Learning Model

Abstract: Plant diseases pose a significant threat to global agriculture, leading to reduced crop yields and economic instability. Early and correct diagnosis of crop diseases is vital in ensuring ...
IEEE

IoT-Enabled Real Time Air Quality Monitoring Using Hybrid CNN-RNN with Attention Mechanism

Abstract: Monitoring the environment, particularly air quality, is vital for protecting public health, ensuring safety, and effectively reducing pollution levels. However, using physical models often ...
IEEE

Comprehensive Performance Analysis of Object Detection Algorithms Across Diverse Sensor Modalities

Abstract: Object detection is a cornerstone of modern computer vision, driving advances in autonomous driving, robotics, surveillance, and smart infrastructure. However, detection performance and ...
IEEE

Deep Learning-Based Detection and Severity Classification of Alzheimer's Disease Stages Using a Custom CNN Model

Abstract: It is a neurodegenerative disorder wherein the cognitive function is drastically affected, particularly in aging populations. An early and definitive diagnosis ensures an appropriate ...
IEEE

A Hybrid 3D CNN and Artificial Ecosystem-based Optimization (AEO) Model for Thyroid Nodule Detection

Abstract: Generally, doctors frequently require sophisticated diagnostic equipment to identify and do follow-up diagnoses on thyroid nodules. They spend a long time manually extracting features from ...
IEEE

Detecting Plant Disease Using Machine Learning

Abstract: Plant diseases are becoming more common, which is a serious danger to the world's food security. Manual examination is a common component of traditional illness detection procedures, which ...