The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
Deep learning-based concrete defects classification and detection using semantic segmentation
P Arafin, AHMM Billah, A Issa - Structural Health Monitoring, 2024 - journals.sagepub.com
Visual damage detection of infrastructure using deep learning (DL)-based computational
approaches can facilitate a potential solution to reduce subjectivity yet increase the accuracy …
approaches can facilitate a potential solution to reduce subjectivity yet increase the accuracy …
An efficient IoT based smart water quality monitoring system
Globally, water resources play a vital role regards to environment and health. Accurate
forecasting of water quality is the key to enhancing water management. To identify the water …
forecasting of water quality is the key to enhancing water management. To identify the water …
A multi-variate heart disease optimization and recognition framework
Cardiovascular diseases (CVD) are the most widely spread diseases all over the world
among the common chronic diseases. CVD represents one of the main causes of morbidity …
among the common chronic diseases. CVD represents one of the main causes of morbidity …
Transfer learning-based automatic hurricane damage detection using satellite images
After the occurrence of a hurricane, assessing damage is extremely important for the
emergency managers so that relief aid could be provided to afflicted people. One method of …
emergency managers so that relief aid could be provided to afflicted people. One method of …
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images
Malaria is a significant public health concern, with∼ 95% of cases occurring in Africa, but
accurate and timely diagnosis is problematic in remote and low-income areas. Here, we …
accurate and timely diagnosis is problematic in remote and low-income areas. Here, we …
Convolutional neural network based hurricane damage detection using satellite images
Hurricanes are tropical storms that cause immense damage to human life and property.
Rapid assessment of damage caused by hurricanes is extremely important for the first …
Rapid assessment of damage caused by hurricanes is extremely important for the first …
Combination of machine learning algorithms and Resnet50 for Arabic Handwritten Classification
RS Khudeyer, NM Almoosawi - Informatica, 2023 - informatica.si
The recognition or classification of Arabic handwritten characters is extremely crucial in
many applications and, at the same time, one of the biggest challenges that machine …
many applications and, at the same time, one of the biggest challenges that machine …
A deep CNN model for skin cancer detection and classification
Skin cancer is one of the most dangerous types of cancers that affect millions of people
every year. The detection of skin cancer in the early stages is an expensive and challenging …
every year. The detection of skin cancer in the early stages is an expensive and challenging …
Optimizing poultry audio signal classification with deep learning and burn layer fusion
This study introduces a novel deep learning-based approach for classifying poultry audio
signals, incorporating a custom Burn Layer to enhance model robustness. The methodology …
signals, incorporating a custom Burn Layer to enhance model robustness. The methodology …