A comprehensive survey and deep learning-based approach for human recognition using ear biometric
Human recognition systems based on biometrics are much in demand due to increasing
concerns of security and privacy. The human ear is unique and useful for recognition. It …
concerns of security and privacy. The human ear is unique and useful for recognition. It …
A review of optical neural networks
D Zhang, Z Tan - Applied Sciences, 2022 - mdpi.com
With the continuous miniaturization of conventional integrated circuits, obstacles such as
excessive cost, increased resistance to electronic motion, and increased energy …
excessive cost, increased resistance to electronic motion, and increased energy …
Lightweight EfficientNetB3 model based on depthwise separable convolutions for enhancing classification of leukemia white blood cell images
Acute lymphoblastic leukemia (ALL) is a type of leukemia cancer that arises due to the
excessive growth of immature white blood cells (WBCs) in the bone marrow. The ALL rate …
excessive growth of immature white blood cells (WBCs) in the bone marrow. The ALL rate …
A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models
S Saleem, J Amin, M Sharif, MA Anjum, M Iqbal… - Complex & Intelligent …, 2021 - Springer
White blood cells (WBCs) are a portion of the immune system which fights against germs.
Leukemia is the most common blood cancer which may lead to death. It occurs due to the …
Leukemia is the most common blood cancer which may lead to death. It occurs due to the …
Improved neural network with spatial pyramid pooling and online datasets preprocessing for underwater target detection based on side scan sonar imagery
J Li, L Chen, J Shen, X Xiao, X Liu, X Sun, X Wang… - Remote Sensing, 2023 - mdpi.com
Fast and high-accuracy detection of underwater targets based on side scan sonar images
has great potential for marine fisheries, underwater security, marine mapping, underwater …
has great potential for marine fisheries, underwater security, marine mapping, underwater …
Convowaste: An automatic waste segregation machine using deep learning
Nowadays, proper urban waste management is one the biggest concerns for maintaining a
green and clean environment. An automatic waste segregation system can be a viable …
green and clean environment. An automatic waste segregation system can be a viable …
Capsule Network‐Based Deep Transfer Learning Model for Face Recognition
Face recognition (FR) is a technique for recognizing individuals through the use of face
photographs. The FR technology is widely applicable in a variety of fields, including security …
photographs. The FR technology is widely applicable in a variety of fields, including security …
A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
Real-time soybean crop insect classification using customized deep learning models
One of the most challenging aspects of crop protection will always be flying, crawling, and
chomping insects. With time, insects become susceptible to some insecticides, and hence …
chomping insects. With time, insects become susceptible to some insecticides, and hence …
Image fundus classification system for diabetic retinopathy stage detection using hybrid CNN-DELM
DCR Novitasari, F Fatmawati, R Hendradi… - Big Data and Cognitive …, 2022 - mdpi.com
Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The
increase in the population diagnosed with DR can be prevented by screening and early …
increase in the population diagnosed with DR can be prevented by screening and early …