Search Results - "Multimedia tools and applications"

A review on genetic algorithm: past, present, and future by Katoch, Sourabh, Chauhan, Sumit Singh, Kumar, Vijay

“…In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected…”
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Natural language processing: state of the art, current trends and challenges by Khurana, Diksha, Koli, Aditya, Khatter, Kiran, Singh, Sukhdev

“…Natural language processing (NLP) has recently gained much attention for representing and analyzing human language computationally. It has spread its…”
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Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey by Jelodar, Hamed, Wang, Yongli, Yuan, Chi, Feng, Xia, Jiang, Xiahui, Li, Yanchao, Zhao, Liang

“…Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data and text…”
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Object detection using YOLO: challenges, architectural successors, datasets and applications by Diwan, Tausif, Anirudh, G., Tembhurne, Jitendra V.

“…Object detection is one of the predominant and challenging problems in computer vision. Over the decade, with the expeditious evolution of deep learning,…”
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A review on extreme learning machine by Wang, Jian, Lu, Siyuan, Wang, Shui-Hua, Zhang, Yu-Dong

“…Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional…”
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A review of immersive virtual reality serious games to enhance learning and training by Checa, David, Bustillo, Andres

“…The merger of game-based approaches and Virtual Reality (VR) environments that can enhance learning and training methodologies have a very promising future,…”
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Sketch-based manga retrieval using manga109 dataset by Matsui, Yusuke, Ito, Kota, Aramaki, Yuji, Fujimoto, Azuma, Ogawa, Toru, Yamasaki, Toshihiko, Aizawa, Kiyoharu

“…Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer very limited search support, i.e., keyword-based search by title or…”
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PSNR vs SSIM: imperceptibility quality assessment for image steganography by Setiadi, De Rosal Igantius Moses

“…Peak signal to noise ratio (PSNR) and structural index similarity (SSIM) are two measuring tools that are widely used in image quality assessment. Especially…”
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Vision-based human activity recognition: a survey by Beddiar, Djamila Romaissa, Nini, Brahim, Sabokrou, Mohammad, Hadid, Abdenour

“…Human activity recognition (HAR) systems attempt to automatically identify and analyze human activities using acquired information from various types of…”
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FakeBERT: Fake news detection in social media with a BERT-based deep learning approach by Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik

“…In the modern era of computing, the news ecosystem has transformed from old traditional print media to social media outlets. Social media platforms allow us to…”
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Dropout vs. batch normalization: an empirical study of their impact to deep learning by Garbin, Christian, Zhu, Xingquan, Marques, Oge

“…Overfitting and long training time are two fundamental challenges in multilayered neural network learning and deep learning in particular. Dropout and batch…”
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Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment by Singh, Sunil, Ahuja, Umang, Kumar, Munish, Kumar, Krishan, Sachdeva, Monika

“…There are many solutions to prevent the spread of the COVID-19 virus and one of the most effective solutions is wearing a face mask. Almost everyone is wearing…”
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Human action recognition using fusion of multiview and deep features: an application to video surveillance by Khan, Muhammad Attique, Javed, Kashif, Khan, Sajid Ali, Saba, Tanzila, Habib, Usman, Khan, Junaid Ali, Abbasi, Aaqif Afzaal

“…Human Action Recognition (HAR) has become one of the most active research area in the domain of artificial intelligence, due to various applications such as…”
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A review of object detection based on deep learning by Xiao, Youzi, Tian, Zhiqiang, Yu, Jiachen, Zhang, Yinshu, Liu, Shuai, Du, Shaoyi, Lan, Xuguang

“…With the rapid development of deep learning techniques, deep convolutional neural networks (DCNNs) have become more important for object detection. Compared…”
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Remote health monitoring of elderly through wearable sensors by Al-khafajiy, Mohammed, Baker, Thar, Chalmers, Carl, Asim, Muhammad, Kolivand, Hoshang, Fahim, Muhammad, Waraich, Atif

“…Due to a rapidly increasing aging population and its associated challenges in health and social care, Ambient Assistive Living has become the focal point for…”
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A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing by Ali, Ahmad, Zhu, Yanmin, Zakarya, Muhammad

“…Accurate and timely predicting citywide traffic crowd flows precisely is crucial for public safety and traffic management in smart cities. Nevertheless, its…”
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Abstractive text summarization using LSTM-CNN based deep learning by Song, Shengli, Huang, Haitao, Ruan, Tongxiao

“…ive Text Summarization (ATS), which is the task of constructing summary sentences by merging facts from different source sentences and condensing them into a…”
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Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities by Alghamdi, Ahmed, Hammad, Mohamed, Ugail, Hassan, Abdel-Raheem, Asmaa, Muhammad, Khan, Khalifa, Hany S., Abd El-Latif, Ahmed A.

“…One of the common cardiac disorders is a cardiac attack called Myocardial infarction (MI), which occurs due to the blockage of one or more coronary arteries…”
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Medical image analysis based on deep learning approach by Puttagunta, Muralikrishna, Ravi, S.

“…Medical imaging plays a significant role in different clinical applications such as medical procedures used for early detection, monitoring, diagnosis, and…”
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A multi-class skin Cancer classification using deep convolutional neural networks by Chaturvedi, Saket S., Tembhurne, Jitendra V., Diwan, Tausif

“…Skin Cancer accounts for one-third of all diagnosed cancers worldwide. The prevalence of skin cancers have been rising over the past decades. In recent years,…”
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