Results 41 to 50 of about 91,295 (253)
Meta-rules for Networks (Invited Paper) [PDF]
Journal of Systemics, Cybernetics and Informatics, 2020 This article proposes conceptual approaches for both the design and implementation of network linkages, that dependent on context, should respect interlinking topological and parametric constraints, possess formal properties, be compatible with ...
Gianfranco Minati
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On Correlation Polynomials and Subword Complexity [PDF]
Discrete Mathematics & Theoretical Computer Science, 2007 We consider words with letters from a $q-ary$ alphabet $\mathcal{A}$. The kth subword complexity of a word $w ∈\mathcal{A}^*$ is the number of distinct subwords of length $k$ that appear as contiguous subwords of $w$.
Irina Gheorghiciuc, Mark Daniel Ward
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The spatial analysis of green economy indicators of OECD countries
Frontiers in Environmental Science, 2023 The present study aims to examine the effect of the geographical location relationship between economic growth and environmental pollution. For this purpose, the spatial relationship between the variable CO2 emission and the variables energy consumption (
Ayşe Çay Atalay, Yusuf Akan
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Advanced Materials, EarlyView.Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source
Sensors, 2016 Wearable and smartphone technology innovations have propelled the growth of Pedestrian Navigation Services (PNS). PNS need a map-matching process to project a user’s locations onto maps.
Yoonsik Bang, Jiyoung Kim, Kiyun Yu
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Weighted Machine Learning for Spatial-Temporal Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Applying machine learning techniques to spatial-temporal data poses the question that how the recorded location and time for training samples should contribute to the training and testing process. The prior knowledge of how spatial-temporal phenomena are
Mahdi Hashemi, Hassan A. Karimi
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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
An Improved Ranking-Based Feature Enhancement Approach for Robust Speaker Recognition
IEEE Access, 2016 Although the field of automatic speaker or speech recognition has been extensively studied over the past decades, the lack of robustness has remained a major challenge.
Furong Yan +3 more
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Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers
Advanced Science, EarlyView.Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han +17 more
wiley +1 more source
Dynamic Regulation of Endogenous Transcription Factor Hubs at Single‐Molecule Resolution
Advanced Science, EarlyView.This study combines single‐molecule microscopy and genome editing to characterize the dynamic behaviors of endogenous oncofusion transcription factor EWS::FLI1 in Ewing sarcoma cells. EWS::FLI1 forms neomorphic hubs that dynamically assemble and dissolve. The hubs are regulated during mitosis, by RNA, and by specific chemicals.
Shawn Yoshida +4 more
wiley +1 more source