BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
Breast cancer is one of the most commonly diagnosed cancer types in the woman and
automatically classifying breast cancer histopathological images is an important task in …
automatically classifying breast cancer histopathological images is an important task in …
Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
Challenges and opportunities in biometric security: A survey
S Arora, MPS Bhatia - Information Security Journal: A Global …, 2022 - Taylor & Francis
Biometric systems identify individuals based on unique traits such as the face, fingerprints,
iris etc. The main objective of the study is to understand the role of deep learning in the …
iris etc. The main objective of the study is to understand the role of deep learning in the …
Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
Unless adequate measures are taken for waste litter, the ecological balance may deteriorate
over time. The wastes disposed of the trash can be divided into two classes that are organic …
over time. The wastes disposed of the trash can be divided into two classes that are organic …
An Iris Recognition System Using CNN & VGG16 Technique
The human iris is a magnificent asset that can be used reliably for identifying purposes. It
can eventually recognize humans with a serve degree of assertiveness. The extraction of …
can eventually recognize humans with a serve degree of assertiveness. The extraction of …
Deep learning for iris recognition: a review
Y Yin, S He, R Zhang, H Chang, X Han… - arXiv preprint arXiv …, 2023 - arxiv.org
Iris recognition is a secure biometric technology known for its stability and privacy. With no
two irises being identical and little change throughout a person's lifetime, iris recognition is …
two irises being identical and little change throughout a person's lifetime, iris recognition is …
Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
It is important for the sensitivity of ecological balance that image processing methods and
techniques give better results day by day. Today, researchers use deep learning in image …
techniques give better results day by day. Today, researchers use deep learning in image …
Performance analysis of different optimizers for deep learning-based image recognition
S Postalcıoğlu - International Journal of Pattern Recognition and …, 2020 - World Scientific
Deep learning refers to Convolutional Neural Network (CNN). CNN is used for image
recognition for this study. The dataset is named Fruits-360 and it is obtained from the Kaggle …
recognition for this study. The dataset is named Fruits-360 and it is obtained from the Kaggle …
Casting defect detection in X-ray images using convolutional neural networks and attention-guided data augmentation
L Jiang, Y Wang, Z Tang, Y Miao, S Chen - Measurement, 2021 - Elsevier
Aluminum alloy castings have a high utilization rate in the automotive industry, and its
quality directly affects the safety performance of the mechanical components. Hence, casting …
quality directly affects the safety performance of the mechanical components. Hence, casting …
Solid waste image classification using deep convolutional neural network
N Nnamoko, J Barrowclough, J Procter - Infrastructures, 2022 - mdpi.com
Separating household waste into categories such as organic and recyclable is a critical part
of waste management systems to make sure that valuable materials are recycled and …
of waste management systems to make sure that valuable materials are recycled and …