Semiconductor Engineering

Standardization Of HDMs For Hierarchical CDC And RDC Analysis

Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM ...
The Johns Hopkins News-Letter

Sohini Ramachandran discusses population genetics and computational clustering algorithms

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue ...
IEEE

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams

Abstract: Data stream clustering reveals patterns within continuously arriving, potentially unbounded data sequences. Numerous data stream algorithms have been proposed to cluster data streams. The ...
IEEE

Graph-Based Joint Client Clustering and Resource Allocation for Wireless Distributed Learning: A New Hierarchical Federated Learning Framework With Non-IID Data

Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...
The Business Journals

Widespread AWS outage traced to Virginia data center hub

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The company's largest data ...
GitHub

AHPd — Data-Driven Multi-Criteria Decision System

AHPd is a 100% objective, multi-criteria decision-making system, representing a modern, data-driven evolution of the classic Analytic Hierarchy Process (AHP) method. Unlike traditional AHP, AHPd ...