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Kun Xiang and Akihiro Fujii
Climate change (CC) has become a central global topic within the multiple branches of social disciplines. Natural Language Processing (NLP) plays a superior role since it has achieved marvelous accomplishments in various application scenarios. However, C...
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János Hollósi, Áron Ballagi and Claudiu Radu Pozna
Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data, su...
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Maryam Omar, Hafeez Ur Rehman, Omar Bin Samin, Moutaz Alazab, Gianfranco Politano and Alfredo Benso
Text-to-image synthesis is one of the most critical and challenging problems of generative modeling. It is of substantial importance in the area of automatic learning, especially for image creation, modification, analysis and optimization. A number of wo...
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Jiazhu Dai and Siwei Xiong
Capsule networks are a type of neural network that use the spatial relationship between features to classify images. By capturing the poses and relative positions between features, this network is better able to recognize affine transformation and surpas...
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Yang Zheng, Jieyu Zhao, Yu Chen, Chen Tang and Shushi Yu
With the widespread success of deep learning in the two-dimensional field, how to apply deep learning methods from two-dimensional to three-dimensional field has become a current research hotspot. Among them, the polygon mesh structure in the three-dimen...
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Sana Shams and Muhammad Aslam
Detecting the communicative intent behind user queries is critically required by search engines to understand a user?s search goal and retrieve the desired results. Due to increased web searching in local languages, there is an emerging need to support t...
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Ruoyan Shi, Jianpeng Hu and Bo Lin
Automatic program repair techniques based on deep neural networks have attracted widespread attention from researchers due to the high degree of automation and generality. However, there is a scarcity of high-quality labeled datasets available for traini...
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Hunter Morera, Roshan Warman, Azubuogu Anudu, Chukwudumebi Uche, Ivana Radosavljevic, Nikhil Reddy, Ahan Kayastha, Niharika Baviriseaty, Rahul Mhaskar, Andrew A. Borkowski, Patrick Brady, Satish Singh, Gerard Mullin, Jose Lezama, Lawrence O. Hall, Dmitry Goldgof and Gitanjali Vidyarthi
Video capsule endoscopy (VCE) is an innovation that has revolutionized care within the field of gastroenterology, but the time needed to read the studies generated has often been cited as an area for improvement. With the aid of artificial intelligence, ...
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Samar Samir Khalil, Sherin M. Youssef and Sherine Nagy Saleh
Fake media is spreading like wildfire all over the internet as a result of the great advancement in deepfake creation tools and the huge interest researchers and corporations are showing to explore its limits. Now anyone can create manipulated unethical ...
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Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic...
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