Algorithm
View article: Ultraconserved elements probes for Gryllidea
Ultraconserved elements probes for Gryllidea Open
Ultraconserved elements probes for Gryllidea
View article: Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20
Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20 Open
View article: Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20
Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20 Open
View article: Plant diversity mitigate carbon emissions
Plant diversity mitigate carbon emissions Open
View article: Plant diversity mitigate carbon emissions
Plant diversity mitigate carbon emissions Open
View article: TypeDis: A Type System for Disentanglement (Artifact)
TypeDis: A Type System for Disentanglement (Artifact) Open
This is the artifact for the paper "TypeDis: A Type System for Disentanglement". This constitutes a snapshot of the repository https://github.com/nobrakal/typedis
View article: A robust active power control algorithm to maximize wind farm power tracking margins in waked conditions
A robust active power control algorithm to maximize wind farm power tracking margins in waked conditions Open
This dataset supplements the article "A robust active power control algorithm to maximize wind farm power tracking margins in waked conditions", which has been submitted to the Wind Energy Science Journal. Each figure in the arti…
View article: Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview
Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview Open
Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview Abstract: The screening phase of systematic reviews is labor-intensive and often represents a major bottleneck in evidence synthesis. To support autom…
View article: Les frontières étatiques face aux dynamiques contestataires. Identités, territoires, pratiques et discours
Les frontières étatiques face aux dynamiques contestataires. Identités, territoires, pratiques et discours Open
This issue aims to study the contestation of borders not only through the lens of political power, but by prioritizing the analysis of the logics and strategies of non-state actors, their discourses and claims, and their modes of organizat…
View article: Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview
Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview Open
Protocol for Prospective Evaluation of Screening Algorithms integrated in NeutrinoReview Abstract: The screening phase of systematic reviews is labor-intensive and often represents a major b…
View article: Using Multi-scale Attention Convolutional Long Short-Term Memory model to predict the water use efficiency
Using Multi-scale Attention Convolutional Long Short-Term Memory model to predict the water use efficiency Open
The code is mainly used to establish the connection between historical data and future scenario data, so as to predict the future ecosystem water use efficiency. Note that the row and column numbers of input data are consistent. The input…
View article: Using Multi-scale Attention Convolutional Long Short-Term Memory model to predict the water use efficiency
Using Multi-scale Attention Convolutional Long Short-Term Memory model to predict the water use efficiency Open
The code is mainly used to establish the connection between historical data and future scenario data, so as to predict the future ecosystem water use efficiency. Note that the row and column numbers of input data are consistent. The input …
View article: KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays
KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays Open
International audience
View article: Area Efficient Speculative Loop Pipelining for High-Level Synthesis
Area Efficient Speculative Loop Pipelining for High-Level Synthesis Open
International audience
View article: Automatic Extraction of Timing Models for WCET Estimation From a High-Level Synthesis Flow
Automatic Extraction of Timing Models for WCET Estimation From a High-Level Synthesis Flow Open
International audience
View article: On L¹ and time-optimal state transitions in piecewise linear models of gene-regulatory networks
On L¹ and time-optimal state transitions in piecewise linear models of gene-regulatory networks Open
View article: ML-EPM: A Machine Learning Model for Predicting Auroral Electron Precipitation Spectra Using Long-Term DMSP Observations
ML-EPM: A Machine Learning Model for Predicting Auroral Electron Precipitation Spectra Using Long-Term DMSP Observations Open
This DOI contains the datasets and model codes that are used in the publication "ML-EPM: A Machine Learning Model for Predicting Auroral Electron Precipitation Spectra Using Long-Term DMSP Observations" in Space Weather Journal. We will ke…
View article: Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems
Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems Open
The accuracy of Machine Learning (ML) models is highly dependent on the hyperparameters that have to be chosen by the user before the training. However, finding the optimal set of hyperparameters is a complex process, as many different par…
View article: ML-EPM: A Machine Learning Model for Predicting Auroral Electron Precipitation Spectra Using Long-Term DMSP Observations
ML-EPM: A Machine Learning Model for Predicting Auroral Electron Precipitation Spectra Using Long-Term DMSP Observations Open
This DOI contains the datasets and model codes that are used in the publication "ML-EPM: A Machine Learning Model for Predicting Auroral Electron Precipitation Spectra Using Long-Term DMSP Observations" in Space Weather Journal. We will ke…
View article: Data for: Application of the Expert Algorithm for Substance Identification (EASI) to Electron Ionization Mass Spectra of n-Alkanes from Different Instruments
Data for: Application of the Expert Algorithm for Substance Identification (EASI) to Electron Ionization Mass Spectra of n-Alkanes from Different Instruments Open
View article: Scalable Convergence Queries on Time Series Compounds
Scalable Convergence Queries on Time Series Compounds Open
View article: A Scale-Adaptive TENO Scheme based on a New Smoothness Indicator
A Scale-Adaptive TENO Scheme based on a New Smoothness Indicator Open
This work presents a new smoothness indicator for the Targeted Essentially Non-Oscillatory (TENO) scheme based on the generalized undivided difference method. Furthermore, to prevent excessive numerical dissipation in the low and intermedi…
View article: Is the projective cover of the trivial module in characteristic 11 for the sporadic simple Janko group J4 a permutation module?
Is the projective cover of the trivial module in characteristic 11 for the sporadic simple Janko group J4 a permutation module? Open
View article: Data for: Application of the Expert Algorithm for Substance Identification (EASI) to Electron Ionization Mass Spectra of n-Alkanes from Different Instruments
Data for: Application of the Expert Algorithm for Substance Identification (EASI) to Electron Ionization Mass Spectra of n-Alkanes from Different Instruments Open
View article: ReFRED: Reliable Function REtrieval for Data transformation
ReFRED: Reliable Function REtrieval for Data transformation Open
View article: Improving the detection efficiency of IRAND based on Convolutional Neural Network (CNN)
Improving the detection efficiency of IRAND based on Convolutional Neural Network (CNN) Open
View article: Numerical Analysis of Two Side-by-Side Flexible Filaments in Shear Flow and Orbit Class Prediction using Immersed Boundary Method and Machine Learning Techniques
Numerical Analysis of Two Side-by-Side Flexible Filaments in Shear Flow and Orbit Class Prediction using Immersed Boundary Method and Machine Learning Techniques Open
This study utilizes a second-order immersed boundary method (IBM) for investigating the orbital dynamics of two flexible, inextensible filaments placed side-by-side in low-Reynolds-number shear flows. A parametric analysis explores the eff…
View article: Richer Graphs, Better Predictions: Resolving Indirect Calls in Binary Code
Richer Graphs, Better Predictions: Resolving Indirect Calls in Binary Code Open
Binary code analysis is a fundamental task in program understanding and optimization when source code is unavailable. However, accurately resolving indirect call targets remains a longstanding challenge in maintaining the integrity of stat…
View article: Improving the detection efficiency of IRAND based on Convolutional Neural Network (CNN)
Improving the detection efficiency of IRAND based on Convolutional Neural Network (CNN) Open
View article: Efficient Locality-based Indexing for Cohesive Subgraphs Discovery in Hypergraphs
Efficient Locality-based Indexing for Cohesive Subgraphs Discovery in Hypergraphs Open