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Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification

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Expert Systems 2025年第7期42卷

作者： Wang, D.Y.C. Jordanger, Lars Arne Lin, Jerry Chun-Wei Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway

Customer churn, particularly in the telecommunications sector, influences both costs and profits. As the explainability of models becomes increasingly important, this study emphasises not only the explainability of customer churn through machine learning models, but also the importance of identifying multivariate patterns and setting soft bounds for intuitive interpretation. The main objective is to use a machine learning model and fuzzy-set theory with top-k HUIM to identify highly associated patterns of customer churn with intuitive identification, referred to as Highly Associated Fuzzy Churn Patterns (HAFCP). Moreover, this method aids in uncovering association rules among multiple features across low, medium, and high distributions. Such discoveries are instrumental in enhancing the explainability of findings. Experiments show that when the top-5 HAFCPs are included in five datasets, a mixture of performance results is observed, with some showing notable improvements. It becomes clear that high importance features enhance explanatory power through their distribution and patterns associated with other features. As a result, the study introduces an innovative approach that improves the explainability and effectiveness of customer churn prediction models. © 2025 John Wiley & Sons Ltd.

关键词： Fuzzy rules

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network

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arXiv 2025年

作者： Muhammad, Usman Laaksonen, Jorma Mihaylova, Lyudmila Department of Computer Science Aalto University Finland School of Electrical and Electronic Engineering University of Sheffield United Kingdom

Deep neural networks have demonstrated highly competitive performance in super-resolution (SR) for natural images by learning mappings from low-resolution (LR) to high-resolution (HR) images. However, hyperspectral super-resolution remains an ill-posed problem due to the high spectral dimensionality of the data and the scarcity of available training samples. Moreover, existing methods often rely on large models with a high number of parameters or require the fusion with panchromatic or RGB images, both of which are often impractical in real-world scenarios. Inspired by the MobileNet architecture, we introduce a lightweight depthwise separable dilated convolutional network (DSDCN) to address the aforementioned challenges. Specifically, our model leverages multiple depthwise separable convolutions, similar to the MobileNet architecture, and further incorporates a dilated convolution fusion block to make the model more flexible for the extraction of both spatial and spectral features. In addition, we propose a custom loss function that combines mean squared error (MSE), an L2 norm regularization-based constraint, and a spectral angle-based loss, ensuring the preservation of both spectral and spatial details. The proposed model achieves very competitive performance on two publicly available hyperspectral datasets, making it well-suited for hyperspectral image super-resolution tasks. The source codes are publicly available at: https://***/Usman1021/lightweight. © 2025, CC BY.

关键词： Deep neural networks

DIAGNOSIS OF MICROcomputer SYSTEMS BY TRIPLET ASSERTION.

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Software & microsystems 1984年第5-6期3卷 111-121页

作者： Lombardi, Fabrizio Ratheal, Steve Texas Tech Univ Dep of Electrical Engineering & Computer Science Lubbock TX USA Texas Tech Univ Dep of Electrical Engineering & Computer Science Lubbock TX USA

A new technique for diagnosis of microcomputer systems is presented, based on a modified triple voting algorithm to distributively test the system without a central controller. The algorithm is shown to yield a remarkable reduction in diagnosis and reconfiguration time compared with other techniques. The application of this technique to large microcomputer architectures is described and simulation results are presented.

关键词： computers, Microcomputer

650 nm emitting InGaN red micro-LEDs with ITO n-electrodes

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Applied Physics Express 2025年第6期18卷 061001-061001页

作者： Cesur Altinkaya Rawan S. Jalmood Mohammed A. Najmi Daisuke Iida Kazuhiro Ohkawa Material Science and Engineering Program Physical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Electrical and Computer Engineering Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

InGaN red micro-LEDs were fabricated with indium tin oxide (ITO) and metal n-electrode designs. Micro-LEDs with ITO electrodes achieved a peak on-wafer external quantum efficiency of 2.1% (at 1.25 A cm⁻²) and wall-plug efficiency of 1.7% (at 0.64 A cm⁻²), representing 1.6 times and 1.5 times improvements compared to metal-based electrodes. Improved performance was attributed to the transparency of ITO, enabling light extraction, while metal electrodes block emission. Both configurations achieved a low leakage current density (≤ 10^–7 A cm⁻²) and a high peak emission wavelength around 650 nm. These results represent a strong potential for low-power consumption required/area-limited AR/VR applications.

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Collision-free landing of multiple UAVs on moving ground vehicles using time-varying control barrier functions

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arXiv 2025年

作者： Sankaranarayanan, Viswa Narayanan Saradagi, Akshit Satpute, Sumeet Nikolakopoulos, George Robotics and Artificial Intelligence Group Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden

In this article, we present a centralized approach for the control of multiple unmanned aerial vehicles (UAVs) for landing on moving unmanned ground vehicles (UGVs) using control barrier functions (CBFs). The proposed control framework employs two kinds of CBFs to impose safety constraints on the UAVs’ motion. The first class of CBFs (LCBF) is a three-dimensional exponentially decaying function centered above the landing platform, designed to safely and precisely land UAVs on the UGVs. The second set is a spherical CBF (SCBF), defined between every pair of UAVs, which avoids collisions between them. The LCBF is time-varying and adapts to the motions of the UGVs. In the proposed CBF approach, the control input from the UAV’s nominal tracking controller designed to reach the landing platform is filtered to choose a minimally-deviating control input that ensures safety (as defined by the CBFs). As the control inputs of every UAV are shared in establishing multiple CBF constraints, we prove that the control inputs are shared without conflict in rendering the safe sets forward invariant. The performance of the control framework is validated through a simulated scenario involving three UAVs landing on three moving targets. © 2025, CC BY-NC-ND.

关键词： Drones

An integrative synchronization and imaging algorithm for GNSS-based BSAR

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science China(Information sciences) 2015年第6期58卷 53-67页

作者： ZHANG QiLei CHANG WenGe ZENG ZhangFan DONG Zhen College of Electronic Science and Engineering National University of Defense Technology School of Electronic Electrical and Computer Engineering University of Birmingham

In this paper, we develop an integrative synchronization and imaging algorithm for bistatic synthetic aperture radar(BSAR) using Global Navigation Satellite Systems as transmitters and a fixed receiver. Due to the lack of a dedicated synchronization link, the usage of navigation signals and the system complexity,traditional synchronization and imaging solutions are not applicable for GNSS-based BSAR. To resolve this problem, this paper focuses on the integrative signal processing algorithm for GNSS-based BSAR. Firstly, to remove the effect of navigation signals, synchronization pre-processing is developed. Then the principle of measuring errors neutralization is theoretically proved by considering the geometric peculiarity of the *** on this principle, an integrative synchronization and imaging algorithm is proposed. Finally, the validity of the developed algorithm is confirmed by experimentally obtained data.

关键词： bistatic synthetic aperture radar(BSAR) GNSS-based BSAR synchronization imaging forma-tion GNSS

Design and Evaluation of a UGV-Based Robotic Platform for Precision Soil Moisture Remote Sensing

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arXiv 2025年

作者： Tsimpidi, Ilektra Tevetzidis, Ilias Sumathy, Vidya Nikolakopoulos, George Robotics and AI Team Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå Sweden

This extended abstract presents the design and evaluation of AgriOne, an automated unmanned ground vehicle (UGV) platform for high precision sensing of soil moisture in large agricultural fields. The developed robotic system is equipped with a volumetric water content (VWC) sensor mounted on a robotic manipulator and utilizes a surface-aware data collection framework to ensure accurate measurements in heterogeneous terrains. The framework identifies and removes invalid data points where the sensor fails to penetrate the soil, ensuring data reliability. Multiple field experiments were conducted to validate the platform’s performance, while the obtained results demonstrate the efficacy of the AgriOne robot in real-time data acquisition, reducing the need for permanent sensors and labor-intensive methods. Copyright © 2025, The Authors. All rights reserved.

关键词： Intelligent robots

Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study

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arXiv 2025年

作者： Liu, Tianhao Liu, Jiqiang Zhang, Tao Wang, Jian Wang, Jiacheng Kang, Jiawen Niyato, Dusit Mao, Shiwen School of Cyberspace Science and Technology Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong University Beijing100045 China School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States

Ensuring end-to-end cross-layer communication security in military networks by selecting covert schemes between nodes is a key solution for military communication security. With the development of communication technology, covert communication has expanded from the physical layer to the network and application layers, utilizing methods such as artificial noise, private networks, and semantic coding to transmit secret messages. However, as adversaries continuously eavesdrop on specific communication channels, the accumulation of sufficient data may reveal underlying patterns that influence concealment, and establishing a cross-layer covert communication mechanism emerges as an effective strategy to mitigate these regulatory challenges. In this article, we first survey the communication security solution based on covert communication, specifically targeting three typical scenarios: device-to-device, private network communication, and public network communication, and analyze their application scopes. Furthermore, we propose an end-to-end cross-layer covert communication scheme driven by Generative Artificial Intelligence (GenAI), highlighting challenges and their solutions. Additionally, a case study is conducted using diffusion reinforcement learning to sovle cloud edge internet of things cross-layer secure communication. © 2025, CC BY.

关键词： Generative adversarial networks

On a class of nonlinear BGK-type kinetic equations with density dependent collision rates

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arXiv 2025年

作者： Evans, Josephine Morris, Daniel Yoldaş, Havva Warwick Mathematics Institute University of Warwick Zeeman Building CoventryCV4 7AL United Kingdom Delft Institute of Applied Mathematics Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628CD Netherlands Okinawa Institute of Science and Technology Graduate University Onna904-0495 Japan

We consider a class of nonlinear, spatially inhomogeneous kinetic equations of BGK-type with density dependent collision rates. These equations share the same superlinearity as the Boltzmann equation, and fall into the class of run and tumble equations appearing in mathematical biology. We prove that the Cauchy problem is well-posed, and the solutions propagate Maxwellian bounds over time. Moreover, we show that the solutions approach to equilibrium with an exponential rate, known as a hypocoercivity result. Lastly, we derive a class of nonlinear diffusion equations as the hydrodynamic limit of the kinetic equations in the diffusive scaling, employing both hypocoercivity and relative entropy methods. The limit equations cover a wide range of nonlinear diffusion equations including both the porous medium and the fast diffusion *** Codes 35A01, 82C40, 35B40, 35Q35 © 2025, CC BY.

关键词： Entropy