BCNet: A deep learning computer-aided diagnosis framework for human peripheral blood cell identification
Blood cells carry important information that can be used to represent a person's current state
of health. The identification of different types of blood cells in a timely and precise manner is …
of health. The identification of different types of blood cells in a timely and precise manner is …
FMDNet: an efficient system for face mask detection based on lightweight model during COVID-19 pandemic in public areas
A new artificial intelligence-based approach is proposed by develo** a deep learning
(DL) model for identifying the people who violate the face mask protocol in public places. To …
(DL) model for identifying the people who violate the face mask protocol in public places. To …
[HTML][HTML] An effective approach for Arabic document classification using machine learning
AY Muaad, GH Kumar, J Hanumanthappa… - Global Transitions …, 2022 - Elsevier
Arabic text classification is one application of Natural Language Processing (NLP). It has
been used to analyze and categorize Arabic text. Analyzing text has become an essential …
been used to analyze and categorize Arabic text. Analyzing text has become an essential …
Detection and classification of sunspots via deep convolutional neural network
Sunspots are known to be the most prominent feature of the solar photosphere. Solar
activities play a vital role in Space weather which greatly affects the Earth's environment …
activities play a vital role in Space weather which greatly affects the Earth's environment …
A Deep Learning Model for Human Blood Cells Classification
C Chola - Advances on Intelligent Computing and Data Science …, 2023 - books.google.com
Microscopic imaging is gaining focus in recent days, especially in the part of
histopathological image analysis. Blood cells plays a critical role in assessment of health …
histopathological image analysis. Blood cells plays a critical role in assessment of health …
Enhancing Maize Crop Health: Deep Learning Approach for Disease Detection and Classification Using Leaf Images
R Nyange, MG Chipofya, S Goel, SB Ashoka… - … Conference on Artificial …, 2024 - Springer
The agriculture sector in sub-Saharan Africa faces significant challenges in growing vital
food security crops like maize due to crop diseases. In response, we introduce a robust deep …
food security crops like maize due to crop diseases. In response, we introduce a robust deep …
A Transfer Learning Based Approach for Sunspot Detection
Realtime space weather activity tracking has improved over the years due to recent
advancements in astronomical instrumentation. Sunspots are known as important …
advancements in astronomical instrumentation. Sunspots are known as important …
A 3D System for Generating Z-Direction Multiple Microscopic Images Based on Deep Learning
Y Wang - 2024 IEEE 6th International Conference on Power …, 2024 - ieeexplore.ieee.org
With the development of artificial intelligence technology, people have begun to study
methods based on deep learning to reconstruct the geometric morphology of three …
methods based on deep learning to reconstruct the geometric morphology of three …
Explainable AI Based framework for Banana Disease Detection
SB Ashoka, M Pramodha, R Nyange, A Anusha… - 2024 - researchsquare.com
Due to widespread usage of banana as a staple food crop and susceptibility to numerous
illnesses. Bananas require sophisticated detection techniques to support sustainable …
illnesses. Bananas require sophisticated detection techniques to support sustainable …
[PDF][PDF] Global Transitions Proceedings
C Chola, JVB Benifa - researchgate.net
abstract Sunspots are known to be the most prominent feature of the solar photosphere.
Solar activities play a vital role in Space weather which greatly affects the Earth's …
Solar activities play a vital role in Space weather which greatly affects the Earth's …