Prediction of breast cancer, comparative review of machine learning techniques, and their analysis
Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …
of cancer found in women around the world and it is among the leading causes of deaths in …
Building extraction of aerial images by a global and multi-scale encoder-decoder network
Semantic segmentation is an important and challenging task in the aerial image community
since it can extract the target level information for understanding the aerial image. As a …
since it can extract the target level information for understanding the aerial image. As a …
[HTML][HTML] Forecasting and classification of new cases of COVID 19 before vaccination using decision trees and Gaussian mixture model
M Hamdi, I Hilali-Jaghdam, BE Elnaim… - Alexandria Engineering …, 2023 - Elsevier
Regarding the pandemic taking place in the world from the spread of the Coronavirus
pandemic and viral mutations, the need has arisen to analyze the epidemic data in terms of …
pandemic and viral mutations, the need has arisen to analyze the epidemic data in terms of …
Low-complexity recruitment for collaborative mobile crowdsourcing using graph neural networks
Collaborative mobile crowdsourcing (CMCS) allows entities, eg, local authorities or
individuals, to hire a team of workers from the crowd of connected people, to execute …
individuals, to hire a team of workers from the crowd of connected people, to execute …
Context-Aware Service Discovery: Graph Techniques for IoT Network Learning and Socially Connected Objects
Adopting Internet-of-things (IoT) in large-scale environments such as smart cities raises
compatibility and trustworthiness challenges, hindering conventional service discovery and …
compatibility and trustworthiness challenges, hindering conventional service discovery and …
Lifelong machine learning architecture for classification
Benefiting from the rapid development of big data and high-performance computing, more
data is available and more tasks could be solved by machine learning now. Even so, it is still …
data is available and more tasks could be solved by machine learning now. Even so, it is still …
Can ai teach humans? Humans AI collaboration for lifelong machine learning
Humans always play the role of a teacher to AI in the last decades. One day, AI will become
wiser than humans in various fields. At that time, humans need to learn from AI to improve …
wiser than humans in various fields. At that time, humans need to learn from AI to improve …
Dual-track lifelong machine learning-based fine-grained product quality analysis
Artificial intelligence (AI) systems are becoming wiser, even surpassing human
performances in some fields, such as image classification, chess, and Go. However, most …
performances in some fields, such as image classification, chess, and Go. However, most …
Teaching analytics: support for the evaluation and assistance in the design of teaching through artificial intelligence
I Bennacer - 2022 - theses.hal.science
The present thesis is focused on the use of Teaching Analytics to analyze teachers'
behaviors and assist them in using Learning Management Systems (LMS). Teaching …
behaviors and assist them in using Learning Management Systems (LMS). Teaching …
Terahertz Nondestructive Characterization of Conformal Coatings for Microelectronics Packaging
Measuring the thickness of conformal coatings (CCs) and detecting defects in a
nondestructive and noncontact fashion are important to ensure the reliability and …
nondestructive and noncontact fashion are important to ensure the reliability and …