Volume 23 (2023)
Volume 22 (2022)
Volume 21 (2021)
Volume 20 (2020)
Volume 19 (2019)
Volume 18 (2018)
Volume 17 (2017)
Volume 16 (2016)
Volume 15 (2015)
Volume 14 (2014)
Volume 13 (2013)
Volume 12 (2012)
Volume 11 (2011)
Volume 10 (2010)
Volume 9 (2009)
Volume 8 (2008)
Volume 7 (2007)
Volume 6 (2006)
Volume 5 (2005)
Volume 4 (2004)
Keywords = Deep learning
Number of Articles: 11
Volume 23, Issue 2 , June 2023, , Page 112-124
AbstractSign language (SL) is Non-verbal communication and a way for thedeaf and mute to communicate without words. A deaf and mute person's hands,face, and body shows what they want to say. Since the number of deaf and dumbpeople is increasing, there must be other ways to learn sign language orcommunicate with ... Read More ...
Volume 23, Issue 2 , June 2023, , Page 136-152
AbstractTarget detection, one of the key functions of computer vision, has grown in importance as a study area over the past two decades and is currently often employed. In a certain video, it seeks to rapidly and precisely detect and locate a huge amount of the objects according to redetermined categories. ... Read More ...
Volume 23, Issue 2 , June 2023, , Page 153-159
AbstractFrom big data analytics to computer vision and human-level control, deep learning has been effectively applied to a wide range of complicated challenges. However, these same deep learning advancements have also been used to develop malicious software that threatens individuals' personal data, democratic ... Read More ...
Volume 23, Issue 2 , June 2023, , Page 210-221
AbstractThe use of video surveillance systems has increased due to security concerns and their relatively low cost. Researchers are working to create intelligent Closed Circuit Television (CCTV) cameras that can automatically analyze behavior in real-time to detect anomalous behaviors and prevent dangerous accidents. ... Read More ...
Volume 23, Issue 1 , March 2023, , Page 35-56
AbstractRecently, Deep Learning (DL) has accomplished enormous prosperity in various areas, like natural language processing (NLP), image processing, different medical issues and computer vision. Both Machine Learning (ML) and DL as compared to traditional methods, can learn and make better and enhanced use ... Read More ...
Volume 23, Issue 1 , March 2023, , Page 104-114
AbstractSemantic segmentation refers to labeling each pixel in the scene to its belonging object. It is a critical task for many computer vision applications that requires scene understanding because It attempts to mimic human perceptual grouping. Despite the unremitting efforts in this field, it is still a ... Read More ...
Volume 22, Issue 3 , September 2022, , Page 111-117
AbstractThe main reason for the emergence of a deepfake (deep learning and fake) term is the evolution in artificial intelligence techniques, especially deep learning. Deep learning algorithms, which auto-solve problems when giving large sets of data, are used to swap faces in digital media to create fake media ... Read More ...
Volume 22, Issue 2 , June 2022, , Page 27-39
AbstractText summarization can be utilized for variety type of purposes; one of them for summary lecture file. A long document expended long time and large capacity. Since it may contain duplicated information, more over, irrelevant details that take long period to access relevant information. Summarization ... Read More ...
Detection And Count of Human Bodies In a Crowd Scene Based on Enhancement Features By Using The YOLO v5 Algorithm
Volume 22, Issue 2 , June 2022, , Page 125-134
AbstractCrowd detection has various applications nowadays. However, detecting humans in crowded circumstances is difficult because the features of different objects conflict, making cross-state detection impossible. Detectors in the overlapping zone may therefore overreact. The proposal uses the YOLO v5 (You ... Read More ...
Volume 22, Issue 1 , March 2022, , Page 34-42
AbstractCovid-19 is a deadly virus that has spread worldwide, causing millions of deaths. Chest X-ray is one of the most common methods of diagnosing the infection of Covid - 19. Therefore, this paper has presented an efficient method to detect Covid-19 through X-rays of the chest area through a Neural convolution ... Read More ...
Volume 19, Issue 3 , July 2019, , Page 40-49