Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

Audio-Visual Contact Classification for Tree Structures in Agriculture

Abstract: Contact-rich manipulation tasks in agriculture, such as pruning and harvesting, require robots to physically interact with tree structures to maneuver through cluttered foliage. Identifying ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...
IEEE

GDC: A Hybrid Method for Hierarchical Data Grading and Classification

Abstract: With the continuous expansion of big data scales, traditional single data grading and classification algorithms face challenges in handling complex data structures and achieving efficient ...
Hosted on MSN

RIDOT: Washington Bridge weight data shows structure well within safe limits

RIDOT’s new weight monitoring system, described as a “heart monitor for a bridge,” is providing real-time data showing the Washington Bridge remains stable as it carries traffic in both directions.