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ASCENT: A Context-Aware Spectrum Coexistence Design and Implementation Toolset for Policymakers in Satellite Bands
It serves two essential purposes (a) evaluating the potential for harmful interference to primary users in satellite bands and (b) facilitating the analysis, design, and implementation of diverse regulatory policies on spectrum usage and sharing.
Unsupervised Learning of Molecular Embeddings for Enhanced Clustering and Emergent Properties for Chemical Compounds
Thus, we introduce a similarity search and clustering algorithm to aid in searching for and interacting with molecules, enhancing efficiency in chemical exploration and enabling future development of emergent properties in molecular property prediction models.
Two Timin': Repairing Smart Contracts With A Two-Layered Approach
Due to the modern relevance of blockchain technology, smart contracts present both substantial risks and benefits.
Sentiment Analysis on the News to Improve Mental Health
The popularization of the internet created a revitalized digital media.
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages
In this paper, we use various existing approaches to create multiple word embeddings for 14 Indian languages.
