Image embedding and classification using pre-trained deep learning architectures
The use of deep learning in image analysis has been a game-changer. Common methods
have relied on problem-specific algorithms to characterize pictures using properties like cell …
have relied on problem-specific algorithms to characterize pictures using properties like cell …
Performance evaluation of optimizers in the classification of marble surface quality using CNN
The recital of a convolutional neural network (CNN) is dependent on several things (ie,
optimization, weight initialization, network topology, batches and epochs and activation/loss …
optimization, weight initialization, network topology, batches and epochs and activation/loss …
Classification of swarm collective motion using machine learning
One of the subfields of artificial intelligence (AI) technology is machine learning. The basic
goal is to develop robots that can learn in the same way that humans can.“Learning” here …
goal is to develop robots that can learn in the same way that humans can.“Learning” here …
Use of a 360-degree underwater camera to characterize artificial reef and fish aggregating effects around marine energy devices
Marine energy devices must be attached to the seafloor by their foundations, pilings, or
anchors, and will have other parts in the water column like the devices themselves, mooring …
anchors, and will have other parts in the water column like the devices themselves, mooring …
Identifying microscopic augmented images using pre-trained deep convolutional neural networks
Because of the success of deep learning in multiple sectors, it is gaining unquestionable
acceptance in the therapeutic field also. The key challenge is determining how to construct a …
acceptance in the therapeutic field also. The key challenge is determining how to construct a …
Exploiting artificial intelligence for combating COVID-19: a review and appraisal
R Sharma, H Pandey, AK Agarwal - Bulletin of Electrical Engineering and …, 2023 - beei.org
Abstract Machine learning algorithms immediately became critical in the battle against the
COVID-19 outbreak. Diagnoses, medicine research, an illness spread predictions, and …
COVID-19 outbreak. Diagnoses, medicine research, an illness spread predictions, and …
Skin cancer diagnosis using the deep learning advancements: a technical review
S Pandey, GK Shankhdhar - Bulletin of Electrical Engineering and …, 2024 - beei.org
It is vital in today's technologically advanced society to combat skin cancer using machines
rather than human intervention. Any time the look of the skin changes abnormally, there is a …
rather than human intervention. Any time the look of the skin changes abnormally, there is a …
Identification of rice varieties using machine learning algorithms
Rice, one of the world's most extensively produced grain crops, has numerous genetic
variants. These kinds are differentiated from one another based on their characteristics …
variants. These kinds are differentiated from one another based on their characteristics …
Image Classification of Decapterus Macarellus Using Ridge Regression
CY Jerandu, AH Mondolang… - … on Education and …, 2022 - ieeexplore.ieee.org
Pelagic fish such as mackerel are a source of protein in Indonesia. However, there is no
decapterus macarellus as an open dataset for image processing using various classification …
decapterus macarellus as an open dataset for image processing using various classification …
Satellite Image Classification Using Convolutional Neural Network
PK Sarangi, B Sharma, L Rani… - Advances in Aerial …, 2024 - Wiley Online Library
Image classification refers to segregating pictures based on their visual characteristics. This
is a crucial area of study in computer vision and is widely used in various applications such …
is a crucial area of study in computer vision and is widely used in various applications such …