Frontiers

Integrating Species Distribution Models, GeoAI, and Citizen Science: Predictive Tools for Bird Habitat Assessment and Conservation Decision-Making

BackgroundBird populations are facing unprecedented global pressures from climate change, habitat fragmentation, land use ...
IEEE

Self-Supervised Representation Distribution Learning for Reliable Data Augmentation in Histopathology WSI Classification

Abstract: Multiple instance learning (MIL) based whole slide image (WSI) classification is often carried out on the representations of patches extracted from WSI with a pre-trained patch encoder. The ...

Continuum Analytics Launches Anaconda Server for Enterprise Package Management

Continuum Analytics, the premier provider of Python-based data analytics solutions and services, today announced the release of Anaconda Server, an enterprise tool suite for the deployment and ...
IEEE

A Data-Driven Linear Optimal Power Flow Model for Distribution Networks

Abstract: The linearized power flow (PF) model is mainly used to make the optimal power flow (OPF) problem convex. However, existing data-driven linear PF models are not applicable for OPF calculation ...
datacenterfrontier.com

High-Voltage DC Power: The Future of Data Center Power Architecture

The exponential growth of data centers, driven by cloud computing, AI processing, and digital services, has created unprecedented power demands that challenge traditional power distribution systems.
Investopedia

Understanding Distribution Channels in Business: How They Function

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...