A Deep Learning and Multimodal Ambient Sensing Framework for Human Activity Recognition by Ali Yachir, Abdenour Amamra, Badis Djamaa, Ali Zerrouki, Ahmed khierEddine Amour

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Standardized container virtualization approach for collecting host intrusion detection data by Martin Max Röhling, Martin Grimmer, Dennis Kreußel, Jörn Hoffmann, Bogdan Franczyk

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Alternatives for greedy discrete subsampling: various approaches including cluster subsampling of COVID-19 data with no response variable by Lubomír Štěpánek, Filip Habarta, Ivana Malá, Luboš Marek

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On combining image features and word embeddings for image captioning by Mateusz Bartosiewicz, Marcin Iwanowski, Martika Wiszniewska, Karolina Frączak, Paweł Leśnowolski

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The Monte Carlo analysis of the media access time distribution in 802.11n MAC layer by Iwona Dolińska, Antoni Masiukiewicz, Grzegorz Rządkowski

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A Copy-Move Forgery Detection System Using Deep Learning based CNN model and Approximation Wavelet Coefficient by Daljeet Kaur, Kamaljeet Singh Kalsi, Vimmi Pandey

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A Comparative Study of Short Text Classification with Spiking Neural Networks by Piotr S. Maciąg, Wojciech Sitek, Łukasz Skonieczny, Henryk Rybiński

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Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts by Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu

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Towards Trustworthy Horizontal Integration in Industry 4.0 Based on DLT Networks by Nikola Todorović, Marko Vještica, Vladimir Dimitrieski, Miroslav Zarić, Nenad Todorović, Ivan Luković

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A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point by Gurjeet Kaur, Anu G. Aggarwal, Aman Kedia

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An extensive analysis of online restaurant reviews: a case study of the Amazonian Culinary Tourism by Luiz Carlos Silva Fernandes Junior, Jorge Silva Junior, Antônio Jacob Junior, Fábio Lobato

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Students’ Online Behaviour in the Time of the COVID-19 Pandemic: Insights from Poland and Ukraine by Dariusz Dymek, Svitlana Didkivska, Mariusz Grabowski, Grażyna Paliwoda-Pękosz, Tetiana Anatoliivna Vakaliuk

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State-of-the-Art Techniques in Artificial Intelligence for Continual Learning: A Review by Bukola Salami, Keijo Haataja, Pekka Toivanen

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An Approach towards economical hierarchic Search over Encrypted Cloud by Sreenivas Sasubilli, Kumar Attangudi Perichiappan Perichappan, P. Srinivas Kumar, Abhishek Kumar

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Type 1 Diabetes Mellitus Saudi Patients' Perspective on the Adopting IoT-Enabled CGM: Validation of Critical Factors in the IAI-CGM A Framework by Hamad Almansour, Natalia Beloff, Martin White

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Filtering Decision Rules Driven by Sequential Forward and Backward Selection of Attributes: An Illustrative Example in Stylometric Domain by Beata Zielosko, Urszula Stańczyk, Kamil Jabloński

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A Big Data Platform for Real-Time Video~Surveillance by Thi-Thu-Trang Do, Quang-Thinh Dam, Tai-Huy Ha, Quyet-Thang Huynh, Kyungbaek Kim, Van-Quyet Nguyen

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Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification by Przemysław Głomb, Michal Cholewa, Pawel Foszner, Jakub Bularz

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Classification of Plant Species with Iris Dataset Using ANN, KNN and K-Means Algorithms by M. Hanefi Calp, Vijender Kumar Solanki

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Proxemic Environments: A Framework for Developing Mobile Applications based on Proxemic Interactions by Paulo Pérez, Philippe Roose, Nadine Couture, Yudith Cardinale, Marc Dalmau, Dominique Masson

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