Bộ sưu tập tài liệu học liệu mở chuyên ngành Công nghệ thông tin: Lập trình, dữ liệu, hệ thống, database... https://dlib.phenikaa-uni.edu.vn/handle/PNK/6454 2026-04-22T08:57:03Z 2026-04-22T08:57:03Z Dominik, Raab Andreas, Theissler Myra, Spiliopoulou https://ikr.inceif.org/retrieve/6081aa7f-ac08-46c4-bdd0-b7f3edf2e622/XAI4EEG spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series-2022.pdf.jpg 2023-04-25T07:13:24Z 2022-01-01T00:00:00Z Book

Title: XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series Authors: Dominik, Raab; Andreas, Theissler; Myra, Spiliopoulou Abstract: In clinical practice, algorithmic predictions may seriously jeopardise patients’ health and thus are required to be validated by medical experts before a final clinical decision is met. Towards that aim, there is need to incorporate explainable artificial intelligence techniques into medical research. In the specific field of epileptic seizure detection there are several machine learning algorithms but less methods on explaining them in an interpretable way. Therefore, we introduce XAI4EEG: an application-aware approach for an explainable and hybrid deep learning-based detection of seizures in multivariate EEG time series. In XAI4EEG, we combine deep learning models and domain knowledge on seizure detection, namely (a) frequency bands, (b) location of EEG leads and (c) temporal characteristics. XAI4EEG encompasses EEG data preparation, two deep learning models and our proposed explanation module visualizing feature contributions that are obtained by two SHAP explainers, each explaining the predictions of one of the two models. Description: CC BY

2022-01-01T00:00:00Z Jorgensen, Ed https://ikr.inceif.org/retrieve/99785b97-ef59-4a0c-a9ab-319c92e9b4bd/x86-64 Assembly Language Programming with Ubuntu.pdf.jpg 2022-12-20T01:50:08Z 2019-01-01T00:00:00Z Book

Title: x86-64 Assembly Language Programming with Ubuntu Authors: Jorgensen, Ed Abstract: The purpose of this text is to provide a reference for University level assembly language and systems programming courses. Specifically, this text addresses the x86-64 instruction set for the popular x86-64 class of processors using the Ubuntu 64-bit Operating System (OS). While the provided code and various examples should work under any Linux-based 64-bit OS, they have only been tested under Ubuntu 14.04 LTS (64-bit). The x86-64 is a Complex Instruction Set Computing (CISC) CPU design. This refers to the internal processor design philosophy. CISC processors typically include a wide variety of instructions (sometimes overlapping), varying instructions sizes, and a wide range of addressing modes. The term was retroactively coined in contrast to Reduced Instruction Set Computer (RISC3). Description: License: CC BY-NC-SA

2019-01-01T00:00:00Z Georgios, Tzoumas Lenka, Pitonakova Lucio, Salinas https://ikr.inceif.org/retrieve/c5320b3c-093b-4468-81c8-1109ebda85b7/Wildfire detection in large-scale environments using force-based control for swarms of UAVs-2023.pdf.jpg 2023-03-30T03:46:05Z 2023-01-01T00:00:00Z Book

Title: Wildfire detection in large-scale environments using force-based control for swarms of UAVs Authors: Georgios, Tzoumas; Lenka, Pitonakova; Lucio, Salinas Abstract: Wildfires affect countries worldwide as global warming increases the probability of their appearance. Monitoring vast areas of forests can be challenging due to the lack of resources and information. Additionally, early detection of wildfires can be beneficial for their mitigation. To this end, we explore in simulation the use of swarms of uncrewed aerial vehicles (UAVs) with long autonomy that can cover large areas the size of California to detect early stage wildfires. Four decentralised control algorithms are tested: (1) random walking, (2) dispersion, (3) pheromone avoidance and (4) dynamic space partition. Description: CC BY

2023-01-01T00:00:00Z Vicente, Safón Domingo, Docampo https://ikr.inceif.org/retrieve/5e3be065-ca6a-4006-8889-da4dca501b7a/What are you reading From core journals to trendy journals in the Library and Information Science (LIS) field-2023.pdf.jpg 2023-04-26T02:50:39Z 2023-01-01T00:00:00Z Book

Title: What are you reading? From core journals to trendy journals in the Library and Information Science (LIS) field Authors: Vicente, Safón; Domingo, Docampo Abstract: In this study, we present an objective, replicable methodology to identify trendy journals in any consolidated discipline. Trendy journals are those most read by authors who are currently publishing within the scope of the discipline. Trendy journal lists differ from consolidated lists of top core journals; the latter are very stable over time, mainly reflecting reputational factors, whereas the former reveal current influences not yet captured by studies based on bibliometric indicators or expert surveys. We apply our methodology to identify trendy journals among 167 titles indexed in the Web of Science category of the Information Science & Library Science (LIS) research area. Description: CC BY

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