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A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision
Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …
computers, has experienced rapid progress and significant contributions. This paper traces …
Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
Remarkable advances in biomedical research have led to the generation of large amounts
of data. Using artificial intelligence, it has become possible to extract meaningful information …
of data. Using artificial intelligence, it has become possible to extract meaningful information …
Using deep learning for classification of lung nodules on computed tomography images
Lung cancer is the most common cancer that cannot be ignored and cause death with late
health care. Currently, CT can be used to help doctors detect the lung cancer in the early …
health care. Currently, CT can be used to help doctors detect the lung cancer in the early …
Deep learning for steganalysis via convolutional neural networks
Current work on steganalysis for digital images is focused on the construction of complex
handcrafted features. This paper proposes a new paradigm for steganalysis to learn features …
handcrafted features. This paper proposes a new paradigm for steganalysis to learn features …
Median filtering forensics based on convolutional neural networks
Median filtering detection has recently drawn much attention in image editing and image anti-
forensic techniques. Current image median filtering forensics algorithms mainly extract …
forensic techniques. Current image median filtering forensics algorithms mainly extract …
SSGAN: Secure steganography based on generative adversarial networks
In this paper, a novel strategy of Secure Steganography based on Generative Adversarial
Networks is proposed to generate suitable and secure covers for steganography. The …
Networks is proposed to generate suitable and secure covers for steganography. The …
A deep learning approach to patch-based image inpainting forensics
Although image inpainting is now an effective image editing technique, limited work has
been done for inpainting forensics. The main drawbacks of the conventional inpainting …
been done for inpainting forensics. The main drawbacks of the conventional inpainting …
[HTML][HTML] Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review
By utilizing their powerful metabolic versatility, filamentous fungi can be utilized in
bioprocesses aimed at achieving circular economy. With the current digital transformation …
bioprocesses aimed at achieving circular economy. With the current digital transformation …
SMD LED chips defect detection using a YOLOv3-dense model
This research develops a defect detector on the basis of the you only look once version 3,
YOLOv3, and applies a process to inspect the chips of surface-mounted device light-emitting …
YOLOv3, and applies a process to inspect the chips of surface-mounted device light-emitting …
A survey on image-based automation of CCTV and SSET sewer inspections
This survey presents an in-depth overview of the last 25 years of research within the field of
image-based automation of Closed-Circuit Television (CCTV) and Sewer Scanner and …
image-based automation of Closed-Circuit Television (CCTV) and Sewer Scanner and …