Deep Learning Models for Automated Diagnosis of Brain Tumor Disorder in Smart Healthcare

K Lamba, S Rani - WSN and IoT, 2024 - taylorfrancis.com
Any injury to the brain may result in an abnormal growth of the brain tissue that is
responsible for performing cognitive activities. This will ultimately lead to the development of …

Adaptive Duty-Cycle Scheduling using Bi-Directional Long Short-Term Memory (BiLSTM) for Next Generation IoT Applications

S Jeyalaksshmi, RM Ganesh - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is a group of interconnected devices which contain sensors to collect
useful data. Artificial Intelligence (AI) techniques like Machine learning (ML) and Deep …

Applications of internet of things with deep learning

JR Munavalli, S Bindu, YJM Shirur - … of Deep Learning and Internet of …, 2023 - igi-global.com
In recent times, it is observed that many technologies converge to result into efficient
systems. Among others, internet of things has wide applications. IoT is a collective network …

Asthma Detection System: Machine and Deep Learning-Based Techniques

M Tawfik, NM Al-Zidi, I Fathail, S Nimbhore - Artificial Intelligence and …, 2022 - Springer
Background: Asthma is a long-term chronic disease of the lungs. It causes airway
inflammation and narrowing, making breathing difficult and producing a wheezing sound …

Monitoring the Heart Patient Status Using Hybrid ML with GSO Models in Cloud Computing

K Sudhakar… - 2023 7th International …, 2023 - ieeexplore.ieee.org
The convergence of the IoT and the Cloud makes our lives better by allowing for frictionless
communication between humans and inanimate objects. Projecting analytics in the medical …

[PDF][PDF] Survey of Big Data Analytics in IoT-Driven Healthcare Applications: A Comparative Approach.

JR Shruti, SV Malige - RICE, 2023 - annals-csis.org
Integrating the Internet of Things (IoT) with ad-vanced big data analytics (BDA) is crucial for
reducing healthcare expenses and identifying potential risks. IOT BDA has an effect on …

A combinatorial approach: Datamining and an efficient Deep neural network for Heart disease prediction

VK Jyothi, GRK Sarma - … Conference on Intelligent Systems Design and …, 2022 - Springer
This paper explores the role of Data mining and Artificial Intelligence in the area of medical
research. Prevention of heart disease is one of the vital areas in medical research. The …

Internet of Things-Combined Deep Learning for Electroencephalography-Based E-Healthcare

S Das, A Ghosh, S Saha - Driving Smart Medical Diagnosis Through …, 2024 - igi-global.com
Deep Learning (DL) is the most popular subset of machine learning, with many applications
in healthcare and other areas. On the other hand, electroencephalography has effectively …

Descriptive Analysis of Feature Selection and Clustering Algorithms for Optimized Drug Toxicity Prediction Model

D Rawat, R Bajaj - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Prediction of toxicity is a great challenge over the years. The development of a new drug or
chemical compound is quite an expensive and complex process. Artificial intelligence and …

Application of Behavior Recognition Technology Based on Deep Learning in Elderly Care

S Zhang, J Mi, N Liu - … Journal of Healthcare Information Systems and …, 2024 - igi-global.com
China is currently one of the countries with the largest elderly population in the world, and
the issue of population aging has become a widespread concern. The behavior recognition …