Výsledky vyhľadávania - "Multimedia tools and applications"

A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis Autor Rehman, Anwar Ur, Malik, Ahmad Kamran, Raza, Basit, Ali, Waqar

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Natural language processing: state of the art, current trends and challenges Autor 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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Object detection using YOLO: challenges, architectural successors, datasets and applications Autor 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 genetic algorithm: past, present, and future Autor 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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CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings Autor Iyer, Abhishek, Das, Srimit Sritik, Teotia, Reva, Maheshwari, Shishir, Sharma, Rishi Raj

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A review on extreme learning machine Autor 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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FakeBERT: Fake news detection in social media with a BERT-based deep learning approach Autor 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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Four-image encryption scheme based on quaternion Fresnel transform, chaos and computer generated hologram Autor Yu, Chuying, Li, Jianzhong, Li, Xuan, Ren, Xuechang, Gupta, B. B.

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Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey Autor 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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11K Hands: Gender recognition and biometric identification using a large dataset of hand images Autor Afifi, Mahmoud

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YOLO-based Object Detection Models: A Review and its Applications Autor Vijayakumar, Ajantha, Vairavasundaram, Subramaniyaswamy

“…In computer vision, object detection is the classical and most challenging problem to get accurate results in detecting objects. With the significant…”
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A review of object detection based on deep learning Autor 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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Machine learning and deep learning approach for medical image analysis: diagnosis to detection Autor Rana, Meghavi, Bhushan, Megha

“…Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows tremendous growth in the medical field. Medical images are considered as the…”
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PSNR vs SSIM: imperceptibility quality assessment for image steganography Autor 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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Water quality prediction using machine learning models based on grid search method Autor Shams, Mahmoud Y., Elshewey, Ahmed M., El-kenawy, El-Sayed M., Ibrahim, Abdelhameed, Talaat, Fatma M., Tarek, Zahraa

“…Water quality is very dominant for humans, animals, plants, industries, and the environment. In the last decades, the quality of water has been impacted by…”
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Vision-based human activity recognition: a survey Autor 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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A review of immersive virtual reality serious games to enhance learning and training Autor 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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Dropout vs. batch normalization: an empirical study of their impact to deep learning Autor 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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VGG-ICNN: A Lightweight CNN model for crop disease identification Autor Thakur, Poornima Singh, Sheorey, Tanuja, Ojha, Aparajita

“…Crop diseases cause a substantial loss in the quantum and quality of agricultural production. Regular monitoring may help in early stage disease detection an d…”
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Sketch-based manga retrieval using manga109 dataset Autor 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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