Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning

S Aghalya, NV Rao, RR Roy… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
Early detection and intervention are essential for respiratory disease management and
patient outcomes. The paper presents an integrated system that integrates Internet of Things …

Face and Iris based Human Authentication using Deep Learning

B Muthukumaran, L Harshavarthanan… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Unique data protection is must in the modern world. Security for information technology and
access to restricted areas, such as airports, governments, healthcare facilities, and military …

Cloud Security Analysis using Machine Learning Algorithms

B Pavithra, N Mishra, G Naveen - 2023 Second International …, 2023 - ieeexplore.ieee.org
The term" Cloud Computing"(CC) refers to the on-demand availabilities of network
resources, in particular data storage and processing powers. It is a collection of …

Predictive Modeling of Poultry Growth Optimization in IoT-Connected Farms Using SVM for Sustainable Farming Practices

R Kiruthika, SK Sahoo, BS Vathani… - 2024 10th …, 2024 - ieeexplore.ieee.org
Modern agriculture uses the Internet of Things (IoT) to improve production and sustainability.
This research predicts poultry growth on IoT-connected farms to enhance sustainable …

A Machine Learning System for Predicting Severity Under Single Transmission Line Outages

AS Prabha, SB Daram, CJ Reddy - 2024 11th International …, 2024 - ieeexplore.ieee.org
The electric power system requires a deep comprehension of possible dangers and effective
mitigation measures. Space-weather-caused single transmission line outages (STLO) …

[PDF][PDF] Deep learning based multi disease classification of plant leaves using light weight residual architecture

M Sadhasivam, MK Geetha, JGM Britto - International Journal of …, 2024 - academia.edu
Plant diseases can severely impact crop yields, posing a major risk to worldwide food
stability. Prompt and precise identification of these diseases is crucial for early intervention …

Advanced Joint Monitoring System Utilizing Real-time Data and KNN Algorithm for Prediction of Joint Health

DAJ Rajan, R Raman, UK Mookherjee… - … in Technology and …, 2024 - ieeexplore.ieee.org
This research proposes a novel strategy for the field of tele-orthopedics by incorporating a K-
Nearest Neighbors (KNN) algorithm into a Raspberry Pi-based remote joint monitoring …

Automatic Digital Analysis System to Grade Diabetic Retinopathy by Integrated Stacking Model Concept

T Manivel, U Saravanakumar - Traitement du Signal, 2024 - search.proquest.com
Ophthalmic diagnosis is based primarily on visual information (photographs of the retina),
and the recent availability of digital fundus images allows such quantization of parameters or …

Elevating Strategy with Cloud-Based Reinforcement Learning for Dynamic Decision-Making in Modern Enterprises

MM Shanmugapriya… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
This study investigates the transformative potential of reinforcement learning algorithms in
the context of dynamic decision-making for modern businesses. Deep Q-Networks (DQN) …

Cloud-Enabled Fingerprint Attendance Management System Using Convolutional Neural Networks in Educational Institutions

NV Antony, K Sugapriya, S Gowriswari… - … on Advances in …, 2024 - ieeexplore.ieee.org
Challenges with accuracy, efficiency, and safety concern traditional techniques of managing
attendance in educational institutions. A fingerprint attendance management system can be …