Applications of deep learning in Alzheimer's disease: A systematic literature review of current trends, methodologies, challenges, innovations, and future directions
S Toumaj, A Heidari, R Shahhosseini… - Artificial Intelligence …, 2024 - Springer
Alzheimer's Disease (AD) constitutes a significant global health issue. In the next 40 years, it
is expected to affect 106 million people. Although more and more people are getting AD …
is expected to affect 106 million people. Although more and more people are getting AD …
Internet of Things Integrated Deep‐Learning Algorithms Monitoring and Predicting Abnormalities in Agriculture Land
P Selvam, N Krishnamoorthy, SP Kumar… - Internet Technology …, 2024 - Wiley Online Library
ABSTRACT The Internet of Things (IoT) plays an essential role in the majority of the recent
real‐time applications to speed up the process of immediate actions against abnormal …
real‐time applications to speed up the process of immediate actions against abnormal …
Enhancing spectrum utilization and primary user detection in cognitive radio networks through greedy cooperative spectrum sensing
S Dhivya, A Rajeswari - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
The utilization of the spectrum is optimized through which primary users of modern wireless
communication technologies might obtain a higher chance of detection. The research aims …
communication technologies might obtain a higher chance of detection. The research aims …
Machine Learning Method for the Diagnosis of Retinal Diseases using Convolutional Neural Network
The early diagnosis of visual problems such as diabetic retinopathy and glaucoma relies on
the successful completion of medical image processing tasks such as the segmentation of …
the successful completion of medical image processing tasks such as the segmentation of …
Deep Learning-Based Identification of Pneumonia in Chest X-Ray Images
S Kayalvili, T Devadharshini… - … on Advances in …, 2024 - ieeexplore.ieee.org
Pneumonia is a serious infection caused by bacteria, viruses, or fungi invading the lungs.
This leads to inflammation of the alveoli, causing them to fill with fluid, which can result in …
This leads to inflammation of the alveoli, causing them to fill with fluid, which can result in …
Hybrid Feature Extraction Technique-based Alzheimer's Disease Detection Model Using MRI Images
Detecting Alzheimer's disease (AD) using magnetic resonance imaging (MRI) is essential for
early diagnosis and management. This study introduces a new method for detecting AD by …
early diagnosis and management. This study introduces a new method for detecting AD by …
Optimized machine learning algorithm for thyroid tumour type classification: A hybrid approach Random Forest, and intelligent optimization algorithms
S Sheik Faritha Begum, M Suresh Anand… - Journal of Intelligent & … - content.iospress.com
Thyroid tumours are a common form of cancer, and accurate classification of their type is
crucial for effective treatment planning. This research presents a hybrid approach for the …
crucial for effective treatment planning. This research presents a hybrid approach for the …
[PDF][PDF] Revolutionizing Data Transmission Efficiency in IoT-Enabled Smart Cities: A Novel Optimization-Centric Approach
EH Senthilkumaran, MS Yalawar, RG Vidhya - irjms.com
In the modern era, IoT-based smart cities play a crucial role in enhancing the development
and quality of life in advanced countries. As digital technologies and advanced metering …
and quality of life in advanced countries. As digital technologies and advanced metering …
[PDF][PDF] Internet of Things Driven Automated Production Systems using Machine Learning
SJ Kumbhar, RG Vidhya - irjms.com
With the advent of Industry 4.0, integrating Cyber-Physical Systems (CPS) and the Internet of
Things (IoT) has become crucial in automated production. This study examines the interplay …
Things (IoT) has become crucial in automated production. This study examines the interplay …