IEEE

Hybrid CNN-BI-LSTM Network for the Accurate Brain Tumour Prediction in MRI Image

Abstract: Brain tumors remain an important global health concern due to their high mortality rates. Accurate and early estimation plays a crucial role in improving patient outcomes. This study ...
IEEE

Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models

Abstract: This study uses various models to address network traffic classification, categorizing traffic into web, browsing, IPSec, backup, and email. We collected a comprehensive dataset from Arbor ...
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 ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
IEEE

System Architecture Modelling of Sugarcane Agroindustry Machinery Anomaly Detection Through Machine Learning

Abstract: Anomaly detection in sugar agroindustry machinery is important to improve operational robustness. One of the machines that have a crucial role in the sugar agroindustry process is the ...
IEEE

GlioSurvNet: Multimodal Survival Prediction for Glioblastoma Using Deep Learning and Clinical Variables from Brain MRI

Abstract: Accurate survival prediction using multimodal magnetic resonance imaging (MRI) plays a crucial role in clinical decision-making for patients with glioblastoma (GBM). In this work, we propose ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
IEEE

Design of Vivaldi antenna for brain cancer detection

Abstract: A UWB Vivaldi antenna has been proposed for brain cancer detection. A Phantom model with dielectric properties of a human brain is designed. The radiation pattern of an UWB Vivaldi antenna ...
IEEE

Brain Tumor Detection Using Deep Learning-Based CNN Model

Abstract: Brain tumors are a major menace to human life, requiring an early and accurate diagnosis for the betterment of patient health outcomes. This paper discusses an automated brain tumor ...
IEEE

Deep Learning for Brain Tumor Classification: CNN Models with Saliency Map Insights

Abstract: This paper aims to classify brain tumors using Convolutional Neural Networks (CNNs) applied to MRI images. We employed four models: a custom CNN, VGG16, ResNet101, and a hybrid model ...
IEEE

Explainable AI (XAI) and Machine Learning Based Alert System for Lung Cancer Detection in Healthcare 4.0

Abstract: In the world more then 10% people are suffering from lung cancer, due to this there is a need for frameworks that can detects the lung cancer at preliminary stage. However, most of the ...
IEEE

Spam Classification Using Machine Learning: Performance Evaluation and Insights

Abstract: The article discusses about using machine learning methods for determining unwanted messages. The expansion of portable phone applications has driven to an uncommon rise in SMS spam.