A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

“…A method is proposed to enhance the efficiency of attacks on APUFs by preliminarily selecting an appropriate machine learning algorithm using PUF models. This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. …”
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A metaheuristic to support the distribution of COVID-19 vaccines by Augusto José da Silva Rodrigues, Gabriel Lopes Lima

“…Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. …”
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Attention-Based Hypergraph Neural Network: A Personalized Recommendation by Peihua Xu, Maoyuan Zhang

“…To address the limitations of existing studies in multimodal heterogeneous data fusion and high-order relationship modeling, this research proposes a Heterogeneous Hypergraph and Attention-based Online Course Recommendation (HHAOCR) algorithm. By constructing a heterogeneous hypergraph structure encompassing three entity types (students, instructors, and courses), we innovatively designed hypergraph convolution operators to achieve bidirectional vertex-hyperedge information aggregation, integrated with a dynamic attention mechanism to quantify important differences among entities. …”
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A Review of the Research on Thermo-Hydro-Mechanical Coupling for the Frozen Soil by Yun Chao Teng, Zhen Chao Teng, Yu Liu, Xiao Yan Liu, Ya Dong Zhou, Jia Lin Liu, Bo Li

“…Based on the DiscreteFrechetDist algorithm, a fitting method of evaluating a curve is proposed. …”
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Spatio-Temporal Characteristics of the Morphological Development of Gully Erosion on the Chinese Loess Plateau by Jinfei Hu, Yifan He, Keyao Huang, Pengfei Li, Shugang Li, Lu Yan, Bingzhe Tang

“…The erosion and deposition on a gully slope were quantified using the M3C2 algorithm. The results show that the proportion of sediment yield of the gully slope in the whole slope–gully system ranged from 81.5% to 99.7% for different flow discharges (25, 40, 55, 70, and 85 L/min). …”
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Digital Sovereignty in times of AI: between perils of hegemonic agendas and possibilities of alternative approaches by Alexandre Costa-Barbosa, Bianca Herlo, Gesche Joost

“…This article explores contemporary discourses on digital sovereignty, highlighting how different ideological positions shape these conversations. …”
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Parallelizing Quantum Simulation With Decision Diagrams by Shaowen Li, Yusuke Kimura, Hiroyuki Sato, Masahiro Fujita

“…In recent years, researchers have adapted DDs into different forms for representing quantum states and performing quantum calculations efficiently. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…Species distribution modeling is fundamental to biodiversity, evolution, conservation science, and the study of invasive species. …”
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Gravity‐Derived Antarctic Crustal Thickness Based on the Gauss‐FFT Method by Fei Ji, Leyuan Wu, Qiao Zhang

“…Tests with synthetic data indicate that the iterative inversion algorithm can yield a highly accurate Moho topography. …”
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Cross-validation of methods for the quantitative determination of phenazepam and its active metabolite in human blood plasma at various extractions by A. I. Platova, I. I. Kuzmin, D. V. Ivaschenko, I. I. Miroshnichenko

“…The statistical approaches used in the work have confirmed the reproducibility of the results of different sample preparation methods. In addition to cross-validation, the statistical algorithm from this paper using Bland – Altman analysis can be successfully employed to assess accuracy and precision during bioanalytical method validation and evaluation of the acceptance of analytical runs, as well as to determine the level of reproducibility of incurred samples.…”
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Control Optimization of a Hybrid Magnetic Suspension Blood Pump Controller Based on the Finite Element Method by Teng Jing, Yu Yang, Weimin Ru

“…The results demonstrate that the improved PSO algorithm offers significant advantages over both the BP neural network and traditional manual PID tuning. …”
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DySCo: A general framework for dynamic functional connectivity. by Giuseppe de Alteriis, Oliver Sherwood, Alessandro Ciaramella, Robert Leech, Joana Cabral, Federico E Turkheimer, Paul Expert

“…DySCo provides a single framework that allows to: (1) Use dFC as a tool to capture the spatio-temporal interaction patterns of data in a form that is easily translatable across different imaging modalities. (2) Provide a comprehensive set of measures to quantify the properties and evolution of dFC over time: the amount of connectivity, the similarity between matrices, and their informational complexity. …”
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Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness by Clement Soriot, Martin Vancoppenolle, Catherine Prigent, Carlos Jimenez, Frédéric Frappart

“…Key to reduced differences is the consistent evolution of many SIV contributors: seasonal and perennial ice coverage, their SIT contrast, whereas perennial SIT provides the largest remaining uncertainty source. …”
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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…The proposed convolutional neural network (CNN) model is comprised of six blocks placed at different layers. To enable the exhaustive evaluation of proposed framework across different datasets, the model has undergone training on a very complex HyperKvasir dataset, and later tested on Kvasir v1 and v2 datasets. …”
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Multi-criteria vehicle routing problem for a real-life parcel locker-based delivery by Radosław Idzikowski, Jarosław Rudy, Michał Jaroszczuk

“…However, results also indicate that both Tabu Search and Genetic Algorithm have different effectiveness in different cases. …”
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Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

“…Moreover, to benchmark the dataset, we first label a subset of the dataset based on feedback from the DevOps experts within the industry context. Then six different algorithms are employed on the dataset and their performance in anomaly detection is evaluated using three different Area Under the Curve (AUC) metrics. …”
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Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models by Deok-Hee Kim-Dufor, Michel Walter, Marie-Odile Krebs, Yannis Haralambous, Philippe Lenca, Christophe Lemey, Christophe Lemey

“…IntroductionPeculiar use of language and even language deficits are one of the well-known signs of schizophrenia. Different language features analyzed using natural language processing and machine learning have been reported to differentiate patients at ultra-high risk for psychosis. …”
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Radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism by Bei TANG, Qian WANG, Siguang CHEN

“…In order to fit the differentiated energy demands in vertical markets and ensure that internet of things (IoT) devices can hold an efficient and sustainable operation mode, a radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism was studied.Specifically, a system energy consumption minimization problem was formulated under the joint optimization consideration of computation offloading decision, uplink bandwidth resource allocation, downlink bandwidth resource allocation and base station power splitting.Meanwhile, by combining the concept of penalty function, a new evaluation index was introduced, and then an adaptive particle swarm optimization-based collaborative energy saving computation offloading (APSO-CESCO) algorithm was proposed to solve the problem.The proposed algorithm constructed dynamic inertia weight and linearly adjusted penalty factor, which could alternate the spatial distribution density of the particle community in real-time during the iterative search process, and the optimal computation offloading policy with tolerable punishment could be well-generated.Furthermore, to prevent particles from exceeding exploration range, the velocity boundary was introduced which could also reduce the generation probability of invalid solutions and improve the actual exploration effectiveness.Finally, the simulation results show that the proposed algorithm can achieve higher convergence efficiency and solution accuracy, and compared with other common benchmark schemes, the system energy consumption can be reduced by 34.09%, 14.72%, and 6.86%, respectively.…”
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Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

“…The logistic regression model incorporating variables selected by the LASSO algorithm exhibited superior predictive performance relative to other models, although the differences were not statistically significant. …”
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Design, Mathematical Modeling, and Control of an Underactuated 3-DOF Experimental Helicopter by Osamah Talal Makki, Seyyed Sajjad Moosapour, Saleh Mobayen, Jafar Heyrani Nobari

“…The system is considered an essential benchmark for the development and evaluation of control algorithms and identification methods as it mimics real helicopters and UAVs. …”
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