[HTML][HTML] Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review

B Nsoh, A Katimbo, H Guo, DM Heeren… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
This systematic review critically evaluates the current state and future potential of real-time,
end-to-end smart, and automated irrigation management systems, focusing on integrating …

Gliomas Disease Prediction: An Optimized Ensemble Machine Learning-Based Approach

J Thakur, C Choudhary, H Gobind… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The most frequent primary brain tumors are gliomas, which call for precise prognostic
models for early detection and individualized care. For optimum treatment planning and …

[HTML][HTML] Soil moisture forecasting from sensors-based soil moisture, weather and irrigation observations: A systematic review

I Ivanova - Smart Agricultural Technology, 2024 - Elsevier
Agriculture is one of the most essential industries since it provides food for the entire
population worldwide. Maintaining limited water resources is a challenging problem in this …

Cloud Security: Challenges and Strategies for Ensuring Data Protection

C Choudhary, N Vyas, UK Lilhore - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Critical data and systems are now more frequently kept and analyzed in the cloud as a result
of the cloud computing industry's quick development. As enterprises trust valuable …

An Optimized Sign Language Recognition Using Convolutional Neural Networks (CNNs) and Tensor-Flow

C Choudhary, N Vyas, UK Lilhore - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Sign language is an essential means of communication for people with hearing disabilities.
However, there is often a communication gap between hearing and non-hearing individuals …

AI-Driven Drug Discovery: Unravelling the Potential of Generative Adversarial Networks (GANs) in Pharmaceutical Research

SR Burri, MY Diallo, L Sharma… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This paper examines how AI has revolutionised drug development and medical research
using the ChEMBL dataset. The primary study areas are AI-driven therapeutic target …

Exploring the Critical Role of Edge Computing in Enhancing IoT Performance and Security

C Choudhary, N Vyas - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The Web of Things is an organization of interconnected gadgets and sensors intended to
speak with one another and trade data flawlessly. The enormous measure of information …

Diabetic Retinopathy Detection: A Transfer Learning Based Approach for Accurate Diagnosis

C Choudhary, A Mathur, R Gupta - … International Conference on …, 2023 - ieeexplore.ieee.org
Diabetes patients run the risk of getting diabetic retinopathy, a serious and occasionally
blinding eye condition. One of its distinguishing features is harm done to the bloodstream …

Transforming Work: The Impact of Artificial Intelligence (AI) on Modern Workplace

N Vyas, UK Lilhore - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
The impact of AI on the workplace is wide-ranging and significant. While AI can increase
productivity and create new job opportunities, it also raises concerns about the displacement …

Automating Data Analysis with Python: A Comparative Study of Popular Libraries and their Application

P Bhardwaj, C Choudhury… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In areas like businesses, finance, and science, data analysis plays a very important role.
Data analysis needs to be automated to improve productivity and eliminate human error as …