Brain Station Advanced on MSN

Data types vs abstract data types (ADT) — types of data structures explained

Understand the difference between Data Types and Abstract Data Types (ADT) in this clear breakdown of data structure ...
IEEE

Improving Network Structure for Efficient Classification Network Based on MobileNetV3

MobileNetV3 employs depthwise separable convolutions to construct lightweight deep neural networks, but its use of neural architecture search and the Squeeze-and-Excitation (SE) attention mechanism ...
C&EN

Classification of NaCl and CsCl Crystal Structures: Establishing an Integrated Didactic Approach for Machine Learning and Chemistry in Upper Secondary Education

Institute for Physical Chemistry, Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Cologne, Greinstraße 4-6, 50939 Köln, Germany ...
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 ...
GitHub

Pavan-M-R/PromptPilot_Nova

PromptPilot is a sophisticated prompt engineering platform that transforms simple user inputs into high-quality, structured prompts using advanced algorithms, dynamic persona assignment, and ...
GitHub

Data for GICS (Global Industry Classification Standard)

This repository provides datasets aligned with the Global Industry Classification Standard (GICS) 2023 edition. The data is ready for integration into database dictionaries, reference systems, and ...
Forbes

One-Size-Fits-All Data Classification Doesn’t Fit HR's Needs

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
cmu.edu

Guidelines for Data Classification

The purpose of this guideline is to establish a framework for classifying institutional data based on its level of sensitivity, value, and criticality to the university as required by the university's ...