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10th IEEE International Conference on Data science and Advanced Analytics, DSAA 2023

作者： Da Mata, Joao Victor Galvao Andersen, Martin S. Technical University of Denmark Department of Applied Mathematics and Computer Science Denmark

ISBN: (纸本)9798350345032

We introduce AdaSub, a stochastic optimization algorithm that computes a search direction based on second-order information in a low-dimensional subspace that is defined adaptively based on available current and past information. Compared to first-order methods, second-order methods exhibit better convergence characteristics, but the need to compute the Hessian matrix at each iteration results in excessive computational expenses, making them impractical. To address this issue, our approach enables the management of computational expenses and algorithm efficiency by enabling the selection of the subspace dimension for the search. Our code is freely available on GitHub, and our preliminary numerical results demonstrate that AdaSub surpasses popular stochastic optimizers in terms of time and number of iterations required to reach a given accuracy. © 2023 IEEE.

关键词： Optimization

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Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series 33

Multi-View Self-Supervised Learning For Multivariate Variabl...

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33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023

作者： Brusch, Thea Schmidt, Mikkel N. Alstrom, Tommy S. Technical University of Denmark Department of Applied Mathematics and Computer Science Denmark

ISBN: (纸本)9798350324112

Labeling of multivariate biomedical time series data is a laborious and expensive process. Self-supervised contrastive learning alleviates the need for large, labeled datasets through pretraining on unlabeled data. However, for multivariate time series data, the set of input channels often varies between applications, and most existing work does not allow for transfer between datasets with different sets of input channels. We propose learning one encoder to operate on all input channels individually. We then use a message passing neural network to extract a single representation across channels. We demonstrate the potential of this method by pretraining our model on a dataset with six EEG channels and then fine-tuning it on a dataset with two different EEG channels. We compare models with and without the message passing neural network across different contrastive loss functions. We show that our method, combined with the TS2Vec loss, outperforms all other methods in most settings. © 2023 IEEE.

关键词： Message passing

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Special Issue of Selected Papers from the 30th International Symposium on Graph Drawing and Network Visualization (GD 2022) Guest Editors’ Foreword

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Journal of Graph Algorithms and Applications 2023年第8期27卷 621-623页

作者： Angelini, Patrizio von Hanxleden, Reinhard Department of Mathematics Natural and Applied Sciences John Cabot University Rome Italy Department of Computer Science Kiel University Kiel Germany

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Simple Encryption and Decryption of Password for Cyber Security Application 4

Simple Encryption and Decryption of Password for Cyber Secur...

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4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Devi, Supriya Vinay Kumar, H.S. Alliance University Department of Applied Mathematics Bangalore India Alliance University Department of Computer Science Bangalore India

ISBN: (纸本)9798350343670

Information about encryption and a dozen practical importance of it can be visualized in the last three decades due to the development in the field of computer science data resource and Internet sharing. Re-visiting the concept says in short sentences, to convert your given information to a different source format which is only recognized or repacked by its required receiver. This research paper is about a simple encryption that can be made using elementary programming languages rather than any other official encryption methods on the internet which indeed are hard and require large steps to understand. This algorithm can be used when the device could be customized or old enough to access communication services like email but, not a communication application because any access through them while using the internet is usually universally programmed and implemented which could be traceable in the end by an unknown source or program. The main aim of the program is to implement through offline and send the encrypted data totally programmed manually for cyber security applications. © 2024 IEEE.

关键词： account login binary algorithm Decryption easy Encryption Internet redundancy programmable protection Simple Supercomputer

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Examining finite-time behaviors in the fractional Gray–Scott model: Stability, synchronization, and simulation analysis

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International Journal of Cognitive Computing in Engineering 2025年 6卷 380-390页

作者： Momani, Shaher Batiha, Iqbal M. Bendib, Issam Ouannas, Adel Hioual, Amel Mohamed, Dalah Department of Mathematics Faculty of Science The University of Jordan Amman11942 Jordan Ajman University Ajman United Arab Emirates Department of Mathematics Al Zaytoonah University of Jordan Amman11733 Jordan Applied Mathematics & Modeling Laboratory Department of Mathematics Faculty of Exact Sciences University of Brothers Mentouri Constantine25000 Algeria Department of Mathematics and Computer Science University of Oum El Bouaghi Oum El Bouaghi04000 Algeria

This paper investigates the behavior and stability of the fractional-order Gray–Scott model, with a specific focus on achieving finite-time stability and synchronization. It introduces essential concepts, including the Gamma function, the Riemann–Liouville fractional-order integral operator, the Caputo fractional derivative, and the Mittag-Leffler function, to establish a foundational framework for subsequent analysis. Equilibrium points are defined, distinguishing between initial and finite-time equilibria, and the conditions for finite-time stability, including settling time, are precisely outlined. Stability results for this model are presented through theorems with detailed proofs, elucidating the roles of Lyapunov functions, class functions, and other system parameters. Furthermore, the paper explores finite-time synchronization schemes in master–slave systems, providing a mathematical framework for understanding and achieving synchronization within a finite time frame. This framework illuminates synchronization dynamics and their practical implications for controlling complex systems. Additionally, numerical examples illustrate finite-time stability and synchronization within the Gray–Scott reaction–diffusion model. © 2025 The Authors

关键词： Lyapunov functions

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Multi-strategy Hybrid Coati Optimizer:A Case Study of Prediction of Average Daily Electricity Consumption in China

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Journal of Bionic Engineering 2024年第5期21卷 2540-2568页

作者： Gang Hu Sa Wang Essam H.Houssein Department of Applied Mathematics Xi’an University of TechnologyXi’an710054China School of Computer Science and Engineering Xi’an University of TechnologyXi’an710048China Faculty of Computers and Information Minia UniversityMinia61519Egypt

The power sector is an important factor in ensuring the development of the national *** simulation and prediction of power consumption help achieve the balance between power generation and power *** this paper,a Multi-strategy Hybrid Coati Optimizer(MCOA)is used to optimize the parameters of the three-parameter combinatorial optimization model TDGM(1,1,r,ξ,Csz)to realize the simulation and prediction of China's daily electricity ***,a novel MCOA is proposed in this paper,by making the following improvements to the Coati Optimization Algorithm(COA):(ⅰ)Introduce improved circle chaotic mapping strategy.(ⅱ)Fusing Aquila Optimizer,to enhance MCOA's exploration capabilities.(ⅲ)Adopt an adaptive optimal neighborhood jitter learning *** improve MCOA escape from local optimal solutions.(ⅳ)Incorporating Differential Evolution to enhance the diversity of the ***,the superiority of the MCOA algorithm is verified by comparing it with the newly proposed algorithm,the improved optimiza-tion algorithm,and the hybrid algorithm on the CEC2019 and CEC2020 test ***,in this paper,MCOA is used to optimize the parameters of TDGM(1,1,r,ξ,Csz),and this model is applied to forecast the daily electricity consumption in China and compared with the predictions of 14 models,including seven intelligent algorithm-optimized TDGM(1,1,r,ξ,Csz),and seven forecasting *** experimental results show that the error of the proposed method is minimized,which verifies the validity of the proposed method.

关键词： Forecast of average daily electricity consumption in China Coati optimization algorithm Three-parameter combination optimization model Circle chaotic mapping

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Comparing UAV camera data with satellite imagery for global localization 7

Comparing UAV camera data with satellite imagery for global ...

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7th IEEE International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024

作者： Kozachuk, Oleksandr Prystavka, Pylyp National Aviation University Faculty of Computer Science and Technology Department of Applied Mathematics Kyiv03058 Ukraine

ISBN: (纸本)9798331534141

Global visual localization is critical for UAVs operating in environments where global navigation satellite systems (GNSS) are unreliable or unavailable. While many methods, such as visual odometry (VIO), rely on optical flow for localization, they often require prior knowledge of the current coordinates. In this paper, we propose an enhanced UAV localization method using the vector of locally aggregated descriptors (VLAD) combined with a cycle generative adversarial network (GAN) architecture. Unlike traditional approaches, our method does not require knowledge of the current coordinates;it only requires a pre-downloaded flight map, enabling location determination through image matching. © 2024 IEEE.

关键词： Satellite imagery

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Spline Approaches for Anomaly Detection in UAV-Based Aerial Surveillance 7

Spline Approaches for Anomaly Detection in UAV-Based Aerial ...

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7th IEEE International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024

作者： Zhultynska, Anhelina Prystavka, Pylyp National Aviation University Faculty of Computer Science and Technology Department of Applied Mathematics Kyiv03058 Ukraine

ISBN: (纸本)9798331534141

This article presents a new approach to detecting anomalies in data obtained from unmanned aerial vehicles using spline models. The relevance of the study is driven by the need for fast and accurate identification of anomalies in real time, which is critical for military intelligence and civilian monitoring. The proposed model is based on the use of momentary characteristics, such as average illumination intensity and standard deviation, which allows for effective data parameterization and detection of anomalous observations. The advantage of the spline model is its ability to adapt to complex and heterogeneous image textures, which significantly reduces the risk of missing critical anomalies. The model also demonstrates high robustness to variations in the data, making it a reliable tool for analyzing images in different lighting and landscape conditions. Experiments using forest, road, and car textures have shown that the spline model is able to accurately identify anomalies, which increases the efficiency of analysis and allows for a quick response to detected changes. © 2024 IEEE.

关键词： Splines

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Comparative Analysis of Detector-Tracker Architecture for Object Tracking Based on SBC for UAV 7

Comparative Analysis of Detector-Tracker Architecture for Ob...

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7th IEEE International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024

作者： Prystavka, Pylyp Shevchenko, Andrii Rokitianska, Irina National Aviation University Faculty of Computer Science and Technology Department of Applied Mathematics Kyiv03058 Ukraine

ISBN: (纸本)9798331534141

This paper investigates the tracking technology of moving objects from a UAV camera (or streaming video) for systems with limited computational resources, such as modern SBCs. A detector-tracker architecture is proposed, combining the advantages of object detection methods and tracking algorithms. A comparative analysis of the performance and accuracy of various detector and tracker combinations on modern SBCs is conducted. The results demonstrate the high efficiency of the proposed approach for object-tracking tasks under limited computational resources, which has practical significance for UAV-based systems. © 2024 IEEE.

关键词： Object tracking

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Security on Top of Security: Detecting Malicious Firewall Policy Changes via K-Means Clustering 1

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5th International Conference on Machine Learning for Cyber Security, ML4CS 2023

作者： Pyke, Mads Solberg Collingwood Meng, Weizhi Lampe, Brooke SPTAGE Lab Department of Applied Mathematics and Computer Science Technical University of Denmark Kongens Lyngby Denmark

ISBN: (数字)9789819724581

ISBN: (纸本)9789819724574

As a company grows, so does its infrastructure—especially its information technology (IT) infrastructure. Maintaining a transparent and manageable firewall policy during this period of rapid upscaling is nigh impossible. The situation is further complicated when multiple people—or even multiple teams—deploy and maintain these firewall policies. Different people often tackle a problem differently, developing different solutions, which, in turn, lead to different firewall policies. Inconsistencies in firewall policies are particularly problematic when it comes to updating, patching, and testing firewalls. Motivated by these issues, in this work, we collaborate with a telecommunications company and construct a web application that leverages machine learning to detect anomalies in firewall policies. The machine learning models can use firewall logs from internal firewalls, and, therefore, can learn the intricacies of traffic on a given network. The models can then predict the expected output from the network logs;anomalies can be identified if the expected values differ from the predicted values. In our evaluation, we collect data from the participating telecommunications company, implement our solution using the k-means clustering algorithm, and evaluate its performance against the collected data. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： K-means clustering

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