6 days ago · 3D shape generation techniques leveraging deep learning have garnered significant interest from both computer vision and architectural design communities, ...

3 days ago · Deep learning for time series forecasting: Tutorial and literature survey ... A survey on machine learning models for financial time series forecasting.

4 days ago · The experiment's findings show that the suggested GNN and LSTM design performs better in terms of accuracy and efficiency in terms of environmental ...

2 days ago · These highly versatile models are designed to be easily fine-tuned for a diverse array of tasks involving spectra and time-series analysis, ranging from ...

6 days ago · Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey ... time with deep learning-based object detection ...

2 days ago · Big Data and Cognitive Computing is an international, peer-reviewed, open access journal on big data and cognitive computing published monthly online by MDPI.

6 days ago · Purpose-This paper proposes a novel deep neural network model, specifically long short-term memory (LSTM) networks, for predicting stock prices using historical ...

6 days ago · Therefore, this study provides a structured literature review of generating synthetic energy time series. ... Time series data augmentation for deep learning: A ...

2 days ago · In this paper, we teach two cornerstone techniques of TML: Persistent Homology and Mapper algorithm, and their effective utilization in ML. Persistent homology ...

4 days ago · Through a systematic scoping review, we have provided unique insights into the application of AI algorithms for tasks such as risk prediction, ...