Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome. by Sean M Cascarina, Mikaela R Elder, Eric D Ross

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Domain Adapting Deep Reinforcement Learning for Real-World Speech Emotion Recognition by Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Bjorn W. Schuller

“…This paper presents a deep reinforcement learning-based strategy (RL-DA) for adapting a pre-trained SER model to a real-world setting by interacting with the environment and collecting continuous feedback. The proposed RL-DA technique is evaluated on SER tasks, including cross-corpus and cross-language domain adaptation scenarios. …”
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Block-Wise Domain Adaptation for Workload Prediction from fNIRS Data by Jiyang Wang, Ayse Altay, Leanne Hirshfield, Senem Velipasalar

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Reconstructing the Magnetic Field in an Arbitrary Domain via Data-Driven Bayesian Methods and Numerical Simulations by Georgios E. Pavlou, Vasiliki Pavlidou, Vagelis Harmandaris

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Development of a Key Method for the Optimization of Port Vessel Detection Based on an Improved Multi-Structural Morphology Approach by Bernard Marie Tabi Fouda, Wenjun Zhang, Jacques Atangana, Helene Carole Edima-Durand

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Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining by Gan Liu, Kai Lu, Saiqi Pi

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Domain knowledge, search behaviour, and search effectiveness of engineering and science students: an exploratory study by Zhang X., Anghelescu, H.G.B. & Yuan, X.

“…Data were collected through pre- and post-search questionnaires, thesaurus term rating form, computer logs, and search session printouts. …”
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Prediction of Myocardial Infarction Based on Non-ECG Sleep Data Combined With Domain Knowledge by Changyun Li, Yonghan Zhao, Qihui Mo, Zhibing Wang, Xi Xu

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Multi-Domain Indoor Dataset for Visual Place Recognition and Anomaly Detection by Mobile Robots by Piotr Wozniak, Tomasz Krzeszowski, Bogdan Kwolek

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Optimal design for parameter estimation in EEG problems in a 3D multilayered domain by H. T. Banks, D. Rubio, N. Saintier, M. I. Troparevsky

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Surveying the deep: A review of computer vision in the benthos by Cameron Trotter, Huw J. Griffiths, Rowan J. Whittle

“…Recent years have seen marine ecologists turn to the domain of computer vision to help automate this curation process. …”
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Improving Telemedicine through IoT and Cloud Computing: Opportunities and Challenges by M. Sunil Kumar, D. Ganesh

“…The rapid evolution of healthcare services has been driven by the convergence of the Internet of Things and cloud computing technologies, inherently transforming telemedicine. …”
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Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems With Prototype Learning by Jinyou Kim, Ilkyu Yi, Young-Joo Suh

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Towards a smart debt collection system: a Design Science Research approach by Michał Przybyłek, Adam Przybyłek, Konrad Wojciechowski, Illia Shkroba

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Semantics in support of biodiversity knowledge discovery: an introduction to the biological collections ontology and related ontologies. by Ramona L Walls, John Deck, Robert Guralnick, Steve Baskauf, Reed Beaman, Stanley Blum, Shawn Bowers, Pier Luigi Buttigieg, Neil Davies, Dag Endresen, Maria Alejandra Gandolfo, Robert Hanner, Alyssa Janning, Leonard Krishtalka, Andréa Matsunaga, Peter Midford, Norman Morrison, Éamonn Ó Tuama, Mark Schildhauer, Barry Smith, Brian J Stucky, Andrea Thomer, John Wieczorek, Jamie Whitacre, John Wooley

“…These ontologies share the aim of improving data aggregation and integration across the biodiversity domain and can be used to describe physical samples and sampling processes (for example, collection, extraction, and preservation techniques), as well as biodiversity observations that involve no physical sampling. …”
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Mathematical Model of Data Processing in a Personalized Search Recommendation System for Digital Collections by Serhii Semenov, Wojciech Baran, Magdalena Andrzejewska, Maxim Pochebut, Inna Petrovska, Oksana Sitnikova, Marharyta Melnyk, Anastasiya Mekhovykh

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Application research on vector coherent frequency‐domain batch adaptive line enhancement in deep water by He Li, Tong Wang, Xinyi Guo, Lin Su, Yaxiao Mo

“…This method not only introduces the idea of frequency‐domain batch processing, but also uses synchronously collected sound pressure and particle velocity as dual input, fully utilising the coherence characteristics between vector channels to output high gain line spectrum signals and improve computational efficiency. …”
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Comparative Evaluation of Neural Network Models for Optimizing ECG Signal in Non-Uniform Sampling Domain by Pratixita Bhattacharjee, Piotr Augustyniak

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Tight computationally efficient approximation of matrix norms with applications by Juditsky, Anatoli, Kotsalis, Georgios, Nemirovski, Arkadi

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Medical Waste Vehicle Routing Problem – A Review of Objectives, Collection and Transportation Strategies, and Algorithms by Wensi LI, Theam Foo NG, Haidi IBRAHIM, Shir Li WANG

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