MSTNN: Temporal Network with Time‑Hyperedge for Stock Trend Prediction

Existing stock trend prediction models overlook periodic patterns and high‑order inter‑stock relations, so the authors propose MSTNN—a framework combining a 3D multi‑scale CNN to capture yearly, monthly, and daily cycles with a time‑hyperedge attention module, achieving state‑of‑the‑art accuracy and profitability on NASDAQ and NYSE benchmarks.

3D CNNMSTNNfinancial time series

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MSTNN: Temporal Network with Time‑Hyperedge for Stock Trend Prediction

Python Crawling & Data Mining

Sep 24, 2021 · Artificial Intelligence

How to Build a 3D CNN for CT Scan Classification with TensorFlow

This tutorial walks through constructing, training, and evaluating a 3D convolutional neural network in TensorFlow to classify CT scans for viral pneumonia, covering data preprocessing, dynamic learning rates, early stopping, and single‑scan prediction with full code examples.

3D CNNCT scan classificationDeep Learning

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How to Build a 3D CNN for CT Scan Classification with TensorFlow

NetEase Media Technology Team

Jul 12, 2019 · Artificial Intelligence

Video Highlight Detection and GIF Cover Generation Using 3D Convolutional Scoring

The paper proposes a 3D‑CNN scoring system that ranks short, information‑dense video segments, selects the most exciting one, and converts it into a looping GIF cover, replacing static thumbnails; trained on large video‑GIF datasets with pairwise ranking loss, it improves click‑through rates while reducing bad‑case generation.

3D CNNGIF generationVideo Summarization

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Video Highlight Detection and GIF Cover Generation Using 3D Convolutional Scoring