Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
Convolutional neural networks: A survey
M Krichen - Computers, 2023 - mdpi.com
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …
A survey on artificial intelligence in Chinese sign language recognition
Abstract Chinese Sign Language (CSL) offers the main means of communication for the
hearing impaired in China. Sign Language Recognition (SLR) can shorten the distance …
hearing impaired in China. Sign Language Recognition (SLR) can shorten the distance …
Fusion of handcrafted and deep features for forgery detection in digital images
Content authentication of digital images has captured the attention of forensic experts and
security researchers due to a multi-fold increase in the dissemination of multimedia data …
security researchers due to a multi-fold increase in the dissemination of multimedia data …
A Lightweight Model for Traffic Sign Classification Based on Enhanced LeNet‐5 Network
A Zaibi, A Ladgham, A Sakly - Journal of Sensors, 2021 - Wiley Online Library
For several years, much research has focused on the importance of traffic sign recognition
systems, which have played a very important role in road safety. Researchers have …
systems, which have played a very important role in road safety. Researchers have …
Hybrid facial emotion recognition using CNN-based features
In computer vision, the convolutional neural network (CNN) is a very popular model used for
emotion recognition. It has been successfully applied to detect various objects in digital …
emotion recognition. It has been successfully applied to detect various objects in digital …
A smart IoT system for detecting the position of a lying person using a novel textile pressure sensor
Bedsores are one of the severe problems which could affect a long-term lying subject in the
hospitals or the hospice. To prevent lying bedsores, we present a smart Internet of Things …
hospitals or the hospice. To prevent lying bedsores, we present a smart Internet of Things …
Survey on image copy-move forgery detection
M Verma, D Singh - Multimedia Tools and Applications, 2024 - Springer
In this digital era, a huge amount of images are flooding the internet, which is extensively
used for digital communications, and are also regarded as a significant source of information …
used for digital communications, and are also regarded as a significant source of information …
Improved Multiclass Brain Tumor Detection via Customized Pretrained EfficientNetB7 Model
A brain tumor considered the deadliest disease in the world. Patients with misdiagnoses and
insufficient treatment have a lower chance of surviving for life. However, for diagnosing the …
insufficient treatment have a lower chance of surviving for life. However, for diagnosing the …
Using xai for deep learning-based image manipulation detection with shapley additive explanation
In the arena of image forensics, detecting manipulations in an image is extremely significant
because of the use of images in different fields. Various detection techniques have been …
because of the use of images in different fields. Various detection techniques have been …