Results 11 to 20 of about 76,450 (354)
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices [PDF]
Forecasting, 2021 Setting sale prices correctly is of great importance for firms, and the study and forecast of prices time series is therefore a relevant topic not only from a data science perspective but also from an economic and applicative one.
Lorenzo Menculini +6 more
doaj +2 more sources
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering [PDF]
IEEE Conference on Computer Communications, 2023 Sharding scales throughput by splitting blockchain nodes into parallel groups. However, different shards’ independent and random scheduling for cross-shard transactions results in numerous conflicts and aborts, since cross-shard transactions from ...
Zicong Hong +7 more
semanticscholar +1 more source
Energies, 2023 The cost of electricity and gas has a direct influence on the everyday routines of people who rely on these resources to keep their businesses running. However, the value of electricity is strongly related to spot market prices, and the arrival of winter
S. Stefenon +3 more
semanticscholar +1 more source
Prophet: Prompting Large Language Models With Complementary Answer Heuristics for Knowledge-Based Visual Question Answering [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Knowledge-based visual question answering (VQA) requires external knowledge beyond the image to answer the question. Early studies retrieve required knowledge from explicit knowledge bases (KBs), which often introduces irrelevant information to the ...
Zhenwei Shao, Zhou Yu, Mei Wang, Jun Yu
semanticscholar +1 more source
Multiscale Superpixelwise Prophet Model for Noise-Robust Feature Extraction in Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, 2023 Despite various approaches proposed to smooth the hyperspectral images (HSIs) before feature extraction, the efficacy is still affected by the noise, even using the corrected dataset with the noisy and water absorption bands discarded.
Ping Ma +6 more
semanticscholar +1 more source
Prophet Secretary Against the Online Optimal [PDF]
ACM Conference on Economics and Computation, 2023 We study the prophet secretary problem, a well-studied variant of the classic prophet inequality, where values are drawn from independent known distributions but arrive in uniformly random order.
Paul Dütting +4 more
semanticscholar +1 more source
Prophet Inequalities Require Only a Constant Number of Samples [PDF]
Symposium on the Theory of Computing, 2023 In a prophet inequality problem, n independent random variables are presented to a gambler one by one. The gambler decides when to stop the sequence and obtains the most recent value as reward.
Andrés Cristi, Bruno Ziliotto
semanticscholar +1 more source
Prophet Attention: Predicting Attention with Future Attention [PDF]
Neural Information Processing Systems, 2022 Recently, attention based models have been used extensively in many sequence-to-sequence learning systems. Especially for image captioning, the attention based models are expected to ground correct image regions with proper generated words.
Fenglin Liu +6 more
semanticscholar +1 more source
Deep Learning-Based Bitcoin Price Forecasting Using Neural Prophet
Ekonomikalia Journal of Economics, 2023 This study focuses on using the Neural Prophet framework to forecast Bitcoin prices accurately. By analyzing historical Bitcoin price data, the study aims to capture patterns and dependencies to provide valuable insights and predictive models for ...
T. R. Noviandy +6 more
semanticscholar +1 more source
Research on Peak Load Prediction of Distribution Network Lines Based on Prophet-LSTM Model
Sustainability, 2023 The increasing demand for precise load forecasting for distribution networks has become a crucial requirement due to the continual surge in power consumption.
Zhoufan Chen +5 more
semanticscholar +1 more source