Results 121 to 130 of about 19,064 (239)
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei +1 more
wiley +1 more source
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor +4 more
wiley +1 more source
Integrating macroeconomic and technical indicators into forecasting the stock market: a hybrid approach for efficient feature selection. [PDF]
Nabil A +3 more
europepmc +1 more source
Серый журавль grus grus в северном Подмосковье
Второе издание. Первая публикация: Гринченко О.С. 2015. Серый журавль в Северном Подмосковье // 14-я Международ. орнитол. конф. Северной Евразии. 1. Тезисы. Алматы: 152-153.
openaire +1 more source
This study introduces a structurally cascaded physics‐informed graph neural network to model tumor microenvironments accurately. By enforcing a directional dependency from mechanical strain to biochemical secretion, the method eliminates unphysical artifacts and significantly improves predictive accuracy for precision healthcare applications.
Xinyuan Chen +2 more
wiley +1 more source
Abstract In birds, the neural canal houses a variety of anatomical structures including the spinal cord, meninges, spinal vasculature, and respiratory diverticula. Among these, paramedullary diverticula and the extradural dorsal spinal vein may leave behind osteological correlates in the form of pneumatic foramina and fossae, and a bilobed geometry of ...
Jessie Atterholt +5 more
wiley +1 more source
Multi-Granular Embedding and Hybrid Encoder-Decoder Architecture with Temporal Linear Regression Bypass for Sensor-Based Time Series Forecasting in Smart Infrastructure. [PDF]
Cheng HY, Lin HH, Jiang CL, Yu CC.
europepmc +1 more source
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Multi-Target Behavior and Intent Prediction Under Incomplete Perception. [PDF]
Ma Y, Han Y, Zhang X, Ping P.
europepmc +1 more source
This study proposes a multimodal feature fusion‐based action recognition and trajectory prediction framework to quantitatively evaluate the effectiveness of compensatory exercises in accelerating shuttlecock skill acquisition. The system comprehensively employs TrackNet, Faster R‐CNN, and HRNet to extract shuttlecock trajectories, player positions, and
Chao Zhang, Fei Zeng
wiley +1 more source

