An Adaptive Intrusion Detection System in Industrial Internet of Things (IIoT) using Deep Learning
The Industrial-Internet-of-Things (IIoT) is a product of the extensive use of the Internet-of-
Things (IoT) in vital industries including manufacturing and industrial production. To improve …
Things (IoT) in vital industries including manufacturing and industrial production. To improve …
Analysis on the Improvement of Energy Efficiency by using its Models in Wireless Sensor Networks
I BH, SP Anandaraj… - Recent Advances in …, 2024 - ingentaconnect.com
Aims and Background: A self-configured and infrastructure-less wireless network is named
as a wireless sensor network (WSN), which has the role of monitoring physical or …
as a wireless sensor network (WSN), which has the role of monitoring physical or …
Early Prediction and Diagnosis Cardiovascular Disease Using Deep Learning Models
RY Rani, ML Prasad, IS Reddy… - … in Computer Science …, 2024 - ieeexplore.ieee.org
Cardiovascular disease (CVD) risk assessment and prognosis in otherwise healthy people
is an important part of disease management. Early detection and diagnosis of CVD …
is an important part of disease management. Early detection and diagnosis of CVD …
A Systematic Analysis of Deep Learning Based Twitter Sentiment Analysis: Emerging Trends and Challenges
B Deepthi, S Shanthi - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Sentiment analysis is a powerful area of research in the realm of natural-language-
processing (NLP), with several practical applications. Businesses and governments can …
processing (NLP), with several practical applications. Businesses and governments can …
A Deep Learning Framework For Human Disease Prediction Using Microbiome Data
A Gadupudi, ML Prasad, SK Nadgaundi… - 2024 International …, 2024 - ieeexplore.ieee.org
More and more research points to the microbiome's potential as a disease predictor, and the
human microbiota is already playing an important role in human health. Microbiome data is …
human microbiota is already playing an important role in human health. Microbiome data is …
An Uncertainty-Aware Deep Learning-Based Model for COVID-19 Diagnosis
The application of deep-learning (DL) to the processing of medical images has been highly
successful. A few groundbreaking DL-based works have achieved substantial progress in …
successful. A few groundbreaking DL-based works have achieved substantial progress in …
Machine Learning Based Secure Routing Protocol with Uav-assisted for Autonomous Vehicles
AD Sree, K Sharma - International Journal of Sensors Wireless …, 2024 - ingentaconnect.com
Aims and Background: The topology and communication links of vehicular adhoc networks,
or VANETs, are always changing due to the transient nature of automobiles. VANETs are a …
or VANETs, are always changing due to the transient nature of automobiles. VANETs are a …
An Intelligent Heart Disease Prediction by Machine Learning Using Optimization Algorithm
J Immanuel D, SA Leo E - Journal of Information Technology …, 2024 - jitm.ut.ac.ir
Heart and circulatory system diseases are often referred to as cardiovascular disease
(CVD). The health and efficiency of the heart are crucial to human survival. CVD has …
(CVD). The health and efficiency of the heart are crucial to human survival. CVD has …
Modern Diagnostic Imaging Classifications and Risk Factors for 6G-enabled Smart Health Systems
The creation of smart healthcare systems is a viable strategy to improve the quality and
availability of healthcare services. Identity theft, data breaches, and denial-of-service attacks …
availability of healthcare services. Identity theft, data breaches, and denial-of-service attacks …
Skin Cancer Classification using A Hybrid Convolutional Neural Network with SVM Classifier
Digital dermoscopy is commonly employed by dermatologists for the diagnosis of
malignancy. Clinicians' recognition of tumor is not only highly subjective, but also highly …
malignancy. Clinicians' recognition of tumor is not only highly subjective, but also highly …