Results 1 to 10 of about 172,710 (318)
STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM [PDF]
Agriculture, 2020 It is difficult to forecast vegetable prices because they are affected by numerous factors, such as weather and crop production, and the time-series data have strong non-linear and non-stationary characteristics.
Helin Yin +5 more
doaj +3 more sources
Heliyon, 2023 Accurate reservoir inflow forecasting is crucial for efficient water management. In this study, different deep learning models, including Dense, Long short-term memory (LSTM), and one-dimensional convolutional neural networks (Conv1D), were used to build
Njogho Kenneth Tebong +3 more
doaj +2 more sources
Second-trimester pregnancy loss after in vitro fertilization: risk factors and risk reduction [PDF]
F&S ReportsObjective: To study changes in the rate and potential causes of second-trimester loss (STL) after in vitro fertilization (IVF) after 2 decades marked by the gradual adoption of elective single embryo transfer. Design: Retrospective cohort study Subjects:
Sarah Rubin, M.D. +6 more
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3D Printing in Medicine, 2020 Background Extracting and three-dimensional (3D) printing an organ in a region of interest in DICOM images typically calls for segmentation as a first step in support of 3D printing.
Takashi Kamio +3 more
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Effect of telomere length and related gene polymorphism in signaling pathway on semen quality [PDF]
Scientific ReportsThis study investigates sperm telomere length (STL), gene polymorphisms in telomere-related pathway genes, and semen quality, were detected to evaluate their potential as a biomarkers of semen quality.
Xueshan Jia +13 more
doaj +2 more sources
Robust Conformal Prediction for STL Runtime Verification under Distribution Shift [PDF]
International Conference on Cyber-Physical Systems, 2023 Cyber-physical systems (CPS) designed in simulators behave differently in the real-world. Once they are deployed in the real-world, we would hence like to predict system failures during runtime.
Yiqi Zhao +4 more
semanticscholar +1 more source
Conformal Prediction for STL Runtime Verification [PDF]
Allerton Conference on Communication, Control, and Computing, 2022 We are interested in predicting failures of learning-enabled systems during their operation. Particularly, we consider stochastic learning-enabled systems and signal temporal logic specifications, and we want to calculate the probability that the current
Lars Lindemann +3 more
semanticscholar +1 more source
L’héritage transcatégoriel des propriétés sémantiques : le cas des Noms en -ance et des verbes et adjectifs apparentés [PDF]
SHS Web of Conferences, 2022 Cet article s'intéresse à l'héritage des propriétés sémantiques entre catégories, en s'appuyant sur l'étude des noms en -ance, des verbes et des adjectifs en -ant apparentés. Notre hypothèse, nommée Hypothèse du Bornage Étendu, est une version élargie de
Knittel Marie Laurence, Marín Rafael
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Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes [PDF]
International Conference on Hybrid Systems: Computation and Control, 2022 We consider the problem of predictive monitoring (PM), i.e., predicting at runtime the satisfaction of a desired property from the current system’s state.
Francesca Cairoli +2 more
semanticscholar +1 more source
An STL-based Approach to Resilient Control for Cyber-Physical Systems [PDF]
International Conference on Hybrid Systems: Computation and Control, 2022 We present ResilienC, a framework for resilient control of Cyber-Physical Systems subject to STL-based requirements. ResilienC utilizes a recently developed formalism for specifying CPS resiliency in terms of sets of (rec, dur) real-valued pairs, where ...
Hongkai Chen +3 more
semanticscholar +1 more source