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Effectiveness of convolutional layers in pre-trained models for classifying common weeds in groundnut and corn crops
In modern agriculture, herbicides are most commonly used to control weeds. A large amount
of herbicide usage not only has an adverse effect on the soil but also has a severe …
of herbicide usage not only has an adverse effect on the soil but also has a severe …
[HTML][HTML] A Review on Congestion Mitigation Techniques in Ultra-Dense Wireless Sensor Networks: State-of-the-Art Future Emerging Artificial Intelligence-Based …
The Internet of Things (IoT) and wireless sensor networks (WSNs) have evolved rapidly due
to technological breakthroughs. WSNs generate high traffic due to the growing number of …
to technological breakthroughs. WSNs generate high traffic due to the growing number of …
RETRACTED ARTICLE: LW-DN161: a cardiovascular disorder classification from 12 lead ECG images using convolutional neural network
Cardiovascular diseases accurate detection and classification at an early stage, aiming to
mitigate the severity of the condition. The abrupt obstruction of blood vessels is identified as …
mitigate the severity of the condition. The abrupt obstruction of blood vessels is identified as …
Cardiovascular Classification Using Efficient Net on Electrocardiogram Images
Cardiovascular disease ranks among the top causes of mortality, frequently caused by
sudden obstructions within blood vessels. Timely identification and intervention are …
sudden obstructions within blood vessels. Timely identification and intervention are …
[PDF][PDF] A deep learning framework for automatic cardiovascular classification from electrocardiogram images
N Jothiaruna - 2023 - academia.edu
Cardiovascular disease is the primary reason of death within a short period because of a
sudden blockage in blood vessels. Therefore, early diagnosis and treatments are necessary …
sudden blockage in blood vessels. Therefore, early diagnosis and treatments are necessary …
[PDF][PDF] Automated Heartbeat Classification and Cardiovascular Disease Detection Using Deep Learning
G ROMAISSA - 2023 - archives.univ-biskra.dz
We utilized comprehensive databases containing various arrhythmia classes and heart
disease types to develop and evaluate the system. By leveraging the power of Machine …
disease types to develop and evaluate the system. By leveraging the power of Machine …
[HTML][HTML] A Deep Learning Framework for Automatic Cardiovascular Classification from Electrocardiogram images
A AL - 2023 - europepmc.org
Cardiovascular disease is the primary reason of death within a short period because of a
sudden blockage in blood vessels. Therefore, early diagnosis and treatments are necessary …
sudden blockage in blood vessels. Therefore, early diagnosis and treatments are necessary …