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arXiv 2024年

作者： Peláez, Rebeca Aneiros, Germán Vilar, Juan Research Group MODES Department of Mathematics Faculty of Computer Science Universidade da Coruña A Coruña15071 Spain

The aim of this paper is to compute one-day-ahead prediction regions for daily curves of electricity demand and price. Three model-based procedures to construct general prediction regions are proposed, all of them using bootstrap algorithms. The first proposed method considers any Lp norm for functional data to measure the distance between curves, the second one is designed to take different variabilities along the curve into account, and the third one takes advantage of the notion of depth of a functional data. The regression model with functional response on which our proposed prediction regions are based is rather general: it allows to include both endogenous and exogenous functional variables, as well as exogenous scalar variables;in addition, the effect of such variables on the response one is modeled in a parametric, nonparametric or semi-parametric way. A comparative study is carried out to analyse the performance of these prediction regions for the electricity market of mainland Spain, in year 2012. This work extends and complements the methods and results in Aneiros et al. (2016) (focused on curve prediction) and Vilar et al. (2018) (focused on prediction intervals), which use the same database as here. Copyright © 2024, The Authors. All rights reserved.

关键词： Forecasting

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Predicting the friction angle of clays using a multi-layer perceptron neural network enhanced by yeo-johnson transformation and coral reefs optimization

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第10期16卷 3982-4003页

作者： Libing Yang Trung Nguyen-Thoi Trung-Tin Tran College of Civil Engineering and Architecture Hunan Institute of Science and TechnologyYueyang414006China Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh CityViet Nam Faculty of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh CityViet Nam Department of Information Technology Greenwich VietnamFPT UniversityDa Nang550000Viet Nam

The accurate prediction of the friction angle of clays is crucial for assessing slope stability in engineering *** study addresses the importance of estimating the friction angle and presents the development of four soft computing models:YJ-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** of all,the Yeo-Johnson(YJ)transformation technique was used to stabilize the variance of data and make it more suitable for parametric statistical models that assume normality and equal *** technique is expected to improve the accuracy of friction angle prediction *** friction angle prediction models then utilized multi-layer perceptron neural networks(MLPnet)and metaheuristic optimization algorithms to further enhance performance,including flower pollination algorithm(FPA),coral reefs optimization(CRO),ant colony optimization continuous(ACOC),and cuckoo search algorithm(CSA).The prediction models without the YJ technique,***-MLPnet,CRO-MLPnet,ACOC-MLPnet,and CSA-MLPnet,were then compared to those with the YJ technique,***-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** these,the YJ-CRO-MLPnet model demonstrated superior reliability,achieving an accuracy of up to 83%in predicting the friction angle of clay in practical engineering *** improvement is significant,as it represents an increase from 1.3%to approximately 20%compared to the models that did not utilize the YJ transformation technique.

关键词： Natural hazards Slope stability Friction angle Clay Soft computing models Geotechnical engineering

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Opportunities, Progress and Challenges in Active Heatsink Antenna Arrays for 5G and Beyond 52

Opportunities, Progress and Challenges in Active Heatsink An...

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52nd European Microwave Conference, EuMC 2022

作者： Aslan, Yanki Delft University of Technology Microwave Sensing Signals and Systems Group Faculty of Electrical Engineering Mathematics and Computer Science Department of Microelectronics Delft Netherlands

ISBN: (数字)9782874870699

ISBN: (纸本)9782874870699

The conventional air and liquid cooling based thermal management strategies in mm-wave active phased arrays are illustrated with several examples from the literature. The key role of antenna engineers in electronics thermal management is discussed. The intriguing concept of using the antennas as auxiliary heat dissipators is recapitulated with a focus on the past and recent developments. The multiphysics (electromagnetic and thermal) modeling and design approaches of such dual function antennas are outlined. Some of the future multidisciplinary research challenges in heatsink antennas are identified. © 2022 European Microwave Association (EuMA).

关键词： Millimeter waves

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Site-Specific Ultra-Low-Sidelobe Phased Array Topologies for Sparse Areas of Particular Shape 52

Site-Specific Ultra-Low-Sidelobe Phased Array Topologies for...

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52nd European Microwave Conference, EuMC 2022

ISBN: (数字)9782874870699

ISBN: (纸本)9782874870699

Optimal design of uniformly-fed aperiodic millimeter-wave phased array topologies for site-specific and quasi interference-free operation is presented. Several use cases with different number of line-of-sight cells in the close vicinity of the base station, and for various widths and shapes of the cells, are analyzed. The arrays are synthesized by applying an iterative convex optimization technique. The simulation results of 256-element arrays indicate strong intra-cell and inter-cell isolation with around -40 dB maximal side lobe level. The proposed technique is found to be especially useful in the application scenarios supporting sparsely distributed narrow communication cells. © 2022 European Microwave Association (EuMA).

关键词： Millimeter waves

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Primus: Enforcing Attention Usage for 3D Medical Image Segmentation

arXiv

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arXiv 2025年

作者： Wald, Tassilo Roy, Saikat Isensee, Fabian Ulrich, Constantin Ziegler, Sebastian Trofimova, Dasha Stock, Raphael Baumgartner, Michael Köhler, Gregor Maier-Hein, Klaus Heidelberg Germany Helmholtz Imaging DKFZ Faculty of Mathematics and Computer Science University of Heidelberg Germany Faculty of Mathematics and Computer Science University of Heidelberg Germany Heidelberg Germany Heidelberg Germany Pattern Analysis and Learning Group Department of Radiation Oncology Germany

Transformers have achieved remarkable success across multiple fields, yet their impact on 3D medical image segmentation remains limited with convolutional networks still dominating major benchmarks. In this work, we a) analyze current Transformer-based segmentation models and identify critical shortcomings, particularly their over-reliance on convolutional blocks. Further, we demonstrate that in some architectures, performance is unaffected by the absence of the Transformer, thereby demonstrating their limited effectiveness. To address these challenges, we move away from hybrid architectures and b) introduce a fully Transformer-based segmentation architecture, termed Primus. Primus leverages high-resolution tokens, combined with advances in positional embeddings and block design, to maximally leverage its Transformer blocks. Through these adaptations Primus surpasses current Transformer-based methods and competes with state-of-the-art convolutional models on multiple public datasets. By doing so, we create the first pure Transformer architecture and take a significant step towards making Transformers state-of-the-art for 3D medical image segmentation. Our Primus implementation is available here. © 2025, CC BY.

关键词： Medical imaging

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Clustered Planarity Variants for Level Graphs

arXiv

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arXiv 2024年

作者： Fink, Simon D. Pfretzschner, Matthias Rutter, Ignaz Sieper, Marie Diana Algorithms and Complexity Group Technische Universität Wien Austria Faculty of Computer Science and Mathematics University of Passau Germany Institute of Computer Science University of Würzburg Germany

We consider variants of the clustered planarity problem for level-planar drawings. So far, only convex clusters have been studied in this setting. We introduce two new variants that both insist on a level-planar drawing of the input graph but relax the requirements on the shape of the clusters. In unrestricted Clustered Level Planarity (uCLP) we only require that they are bounded by simple closed curves that enclose exactly the vertices of the cluster and cross each edge of the graph at most once. The problem y-monotone Clustered Level Planarity (y-CLP) requires that additionally it must be possible to augment each cluster with edges that do not cross the cluster boundaries so that it becomes connected while the graph remains level-planar, thereby mimicking a classic characterization of clustered planarity in the level-planar setting. We give a polynomial-time algorithm for uCLP if the input graph is biconnected and has a single source. By contrast, we show that y-CLP is hard under the same restrictions and it remains NP-hard even if the number of levels is bounded by a constant and there is only a single non-trivial cluster. © 2024, CC BY.

关键词： Polynomial approximation

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On an Edge Detector Based on Ordinal Sums of Conjunctive and Disjunctive Aggregation Functions 1

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Fuzzy Logic and Technology, and Aggregation Operators 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023

作者： Munar, Marc Hudec, Miroslav Massanet, Sebastia Mináriková, Erika Ruiz-Aguilera, Daniel Research Group Department of Mathematics and Computer Science University of the Balearic Islands Palma Spain Palma Spain Faculty of Economic Informatics University of Economics in Bratislava Bratislava Slovakia Faculty of Economics VSB - Technical University of Ostrava Ostrava Czech Republic

ISBN: (数字)9783031399657

ISBN: (纸本)9783031399640

Aggregation functions have been used in the last decade in several edge detectors with notable success. Recently, a new family of aggregation functions defined as ordinal sums of conjunctive and disjunctive aggregation functions have been introduced with good results in classification problems. Due to this performance, in this paper, this family is considered in the aggregation step of the edge detection algorithm based on uninorms. This new edge detector is compared with other classical edge detectors concluding that this class of ordinal sums is a feasible family to be used for edge detection. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Edge detection

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Optimizing the Design of a Full Adder Utilizing Quantum Dot Cellular Automata (QCA) Technology

Optimizing the Design of a Full Adder Utilizing Quantum Dot ...

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Machine Intelligence and Smart Innovation (ICMISI), International Conference on

作者： Ahmed Moustafa Ahmed Younes Department of Mathematics and Computer Science Faculty of Science Alexandria University Alexandria Egypt Alexandria Quantum Computing Group Faculty of Science Alexandria University Alexandria Egypt School of Computer Science University of Birmingham Birmingham United Kingdom

ISBN: (数字)9798350365740

ISBN: (纸本)9798350365757

Full adder circuits play a crucial role in performing arithmetic calculations. Both half adders and full adders serve as fundamental components in arithmetic circuits. Quantum-dot cellular automaton (QCA) technology, based on geometric symmetry within quantum dots, offers a groundbreaking nanotechnology that enables high-performance computation with minimal heat dissipation. This research paper focuses on harnessing the benefits of logical computations and QCA technology by introducing QCA designs for both half adder and full adder circuits. Additionally, an XOR gate QCA design is proposed. Furthermore, the QCA design for the full adder circuit is utilized to construct Ripple Carry Adders (RCA) of various sizes, including 4-bit, 8-bit, and 16-bit configurations. Through comparative analysis with alternative designs, the proposed QCA designs demonstrate superior efficiency in terms of cell count, construction area, number of majority gates, wire crossing, and clock cycle latency.

关键词： Technological innovation Quantum computing Quantum dots Automata Logic gates Wire Adders

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Hatespeech and Offensive Content Detection in Hindi Language using C-BiGRU 13

Hatespeech and Offensive Content Detection in Hindi Language...

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Working Notes of FIRE - 13th Forum for Information Retrieval Evaluation, FIRE-WN 2021

作者： Kannan, Sudharsana Mitrović, Jelena Faculty of Computer Science and Mathematics CAROLL Research Group University of Passau Germany

In this paper, we present our submission from the team CAROLL_Passau for subtask 1A of the HASOC 2021 workshop. Our presented model, C-BiGRU, is composed of a Convolutional Neural Network (CNN) together with a bidirectional Recurrent Neural Network (RNN). We utilized word embeddings to allow our model to apprehend the correlation between words in the text. The structure of our model enables it to capture the contextual information along with the long-term dependencies in the text in order to perform binary classification on offensive text. We evaluated our model on the test data provided by the HASOC organizers. Our model achieved a macro F1 score of 75.04%, accuracy of 77.48%, precision and recall with the scores of 74.63% and 75.60% respectively. © 2021 Copyright for this paper by its authors.

关键词： Embeddings

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The Consistency of Gamification User Types: A Study on the Change of Preferences over Time

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Proceedings of the ACM on Human-computer Interaction 2023年第CHI PLAY期7卷 1253-1281页

作者： Santos, Ana Cláudia Guimarães Oliveira, Wilk Hamari, Juho Joaquim, Sivaldo Isotani, Seiji University of São Paulo Institute of Mathematics and Computer Science São Carlos Brazil Tampere University Gamification Group Faculty of Information Technology and Communication Sciences Tampere Finland Federal University of Alagoas Education Center Maceió Brazil Harvard Graduate School of Education CambridgeMA United States

In recent decades, several studies have suggested and validated user models (e.g., Bartle, and Hexad) to represent different user profiles in games and gamified environments. However, when applying these user models in practice (e.g., to personalize gamification), several studies reported contradictory outcomes. Recently, some studies outlined that one of the possible explanations for these contradictory findings is that people can present changes in their user profiles over time. In this study (N = 118), we present an analysis of the consistency of gamification user orientations after six months of the initial identification, by analyzing the association between user orientations in the first and second data collection. Overall, our results corroborate prior research demonstrating that user orientations can not be considered stable over time and also that the strongest tendency of the users might not be sufficient to determine how users change. Furthermore, we were able to identify that some user orientations can be more stable than others and model some relationships between their profiles after six months. Based on the results, we indicate a research agenda that can further the knowledge about the topic, as well as indicate a set of suggestions on how to model user profiles based on our results. © 2023 Owner/Author.

关键词： User profile

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