pythonplatformfinancemachine-learningresearchdeep-learningpaperfintechquantquantitative-financeinvestmentstock-dataalgorithmic-tradingresearch-paperquantitative-tradingquant-datasetquant-modelsauto-quant UpdatedJan 9, 2025 Python An AI-powered research assistant that performs iterative, deep research on any topic by...
Deep Image Prior [paper] [article] [code] Online Deep Learning: Learning Deep Neural Networks on the Fly [arXiv] Learning Explanatory Rules from Noisy Data [arXiv] Improving Palliative Care with Deep Learning [arXiv] [article] VoxelNet: End-to-End Learning for Point Cloud Based 3D Object ...
Behind the Paper Astronomical Image Denoising by Self-Supervised Deep Learning and Restoration Processes Tie Liu Feb 08, 2025 How a Backhanded Compliment Made Me Rethink Innovation Springer Nature Nature Behind the Paper,News and Opinion,From the Editors,Life in Research ...
On-chip solar power source for self-powered smart microsensors in bulk CMOS process This paper demonstrates a highly efficient on-chip solar cell design that achieves 25.79% photoelectric conversion efficiency by reducing electrode shading through innovative center electrodes and high-doping interconnections...
Deep research independently discovers, reasons about, and consolidates insights from across the web. To accomplish this, it was trained on real-world tasks requiring browser and Python tool use, using the same reinforcement learning methods behind OpenAI o1, our first reasoning model. While o1 demo...
Many studies used methods of deep learning to detect rumors in open networks. To comprehensively sort out the research status of rumor detection from multiple perspectives, this paper analyzes the highly focused work from three perspectives: Feature Selection, Model Structure, and Research Methods. ...
Therefore, this paper focuses on deep learning-based speech analysis for AD detection. This research paper is organized as follows: the objects of this review in the “Objectives” section, the search and selection process is introduced in the “Materials and methods” section, the results in th...
This paper presents a study on the usage landscape of augmented reality (AR) and virtual reality (VR) in the architecture, engineering and construction sectors, and proposes a research agenda to address the existing gaps in required capabilities. A series of exploratory workshops and questionnaires ...
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🔥🔥 This is a collection of awesome articles about deep learning in MRI reconstruction🔥🔥 Our survey paper on arXiv:Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration ️ Citation