A machine learning method for classification of cervical cancer

JJ Tanimu, M Hamada, M Hassan, H Kakudi… - Electronics, 2022 - mdpi.com
Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in developing countries. There are …

Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection

A Morchid, M Marhoun, R El Alami, B Boukili - Multimedia Tools and …, 2024 - Springer
Plant diseases pose a significant threat to the sustainability of the environment and global
food security. With an increasing population density and the growing demand for plant …

Low-power deep learning model for plant disease detection for smart-hydroponics using knowledge distillation techniques

A Musa, M Hassan, M Hamada, F Aliyu - Journal of Low Power …, 2022 - mdpi.com
Recent advances in computing allows researchers to propose the automation of hydroponic
systems to boost efficiency and reduce manpower demands, hence increasing agricultural …

[HTML][HTML] Crop diagnostic system: A robust disease detection and management system for leafy green crops grown in an aquaponics facility

R Abbasi, P Martinez, R Ahmad - Artificial Intelligence in Agriculture, 2023 - Elsevier
Crops grown on aquaponics farms are susceptible to various diseases or biotic stresses
during their growth cycle, just like traditional agriculture. The early detection of diseases is …

A Theoretical Framework Towards Building a Lightweight Model for Pothole Detection using Knowledge Distillation Approach

A Musa, M Hamada, M Hassan - SHS Web of Conferences, 2022 - shs-conferences.org
Despite recent advances in deep learning, the rise of edge devices, and the exponential
growth of Internet of Things (IoT) connected devices undermine the performance of deep …

Rice leaf diseases classification using deep learning techniques

P Rawat, A Pandey - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Rice is the primary food source for a significant portion of the global population and the
productivity of rice crops can be severely impacted by diseases. These diseases can cause …

Learning from Small Datasets: An Efficient Deep Learning Model for Covid-19 Detection from Chest X-ray Using Dataset Distillation Technique

A Musa, FM Adam, U Ibrahim… - 2022 IEEE Nigeria 4th …, 2022 - ieeexplore.ieee.org
Ever since the spread of the Coronavirus pandemic popularly known as Covid-19,
researchers have dwelled in finding ways to curtail the spread of this disease. The disease …

Prediction of Plant Growth Through Nutrient Uptake in the Hydroponics System Using Machine Learning Approach

MD Tambakhe, VS Gulhane - Proceedings of International Conference on …, 2022 - Springer
Agriculture has a significant impact on the nation's economy. Hydroponic gardening is
getting more popular as modern agriculture, which allows plants to be grown without ground …

An Intelligent Computer Vision based Application for Student Monitoring in Classroom

T Deepa, KT Krishna, PS Chandra… - 2023 4th International …, 2023 - ieeexplore.ieee.org
In this ever-growing field of Artificial Intelligence in which computer vision is a field which is
in demand because it can solve a lot of Practical Real-World Problems, we would like to …

[PDF][PDF] Machine Learning Method for Classification of Cervical Cancer. Electronics 2022, 11, 463

JJ Tanimu, M Hamada, M Hassan, HA Kakudi… - 2022 - academia.edu
Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in developing countries. There are …