Ergonomics For People With Disabilities

Multi-Criteria Analysis for Priority-setting in Mine Action

3RD INTERNATIONAL CONFERENCE ON BIG DATA AND MACHINE LEARNING (BML'22)

IMDIS

2nd Edition of the Multidiscipinary Doctoral Days (IMDD23)

Smart Analysis of Tourism Policy Efficiency in Bulgaria for the Period 1980-2017

International Symposium on Technikpsychologie (TecPsy) 2023

Python Data Structures Pocket Primer

C Programming

Angular and Deep Learning Pocket Primer

Pandas Basics

Data Cleaning Pocket Primer

Computer Concepts and Management Information Systems

Microsoft Excel Programming Pocket Primer

Working with grep, sed, and awk Pocket Primer

C Programming Pocket Primer

AutoCAD 2016

Practical Heat Transfer

Software Testing

Data Science Tools

<DIV align=justify> A distinguishing feature of IMDIS is the capability to find globally maximum concentrations under multisource/rose-wind conditions, either from real meteorological data or from potentially worst-case scenarios (critical conditions). The later seem to be especially relevant to the atomic energy industry.

A Teaching Tool for Air Pollution Dispersion Modelling

Frontmatter

Frontmatter

{"title":{"xml:lang":"en","content":"Frontmatter"}}

Contents

{"title":{"xml:lang":"en","content":"Contents"}}

Foreword

{"title":{"xml:lang":"en","content":"Foreword"}}

Acknowledgements

{"title":{"xml:lang":"en","content":"Acknowledgements"}}

Introduction

{"title":{"xml:lang":"en","content":"Introduction"}}

Background

{"title":{"xml:lang":"en","content":"Background"}}

1 Model Highlights

{"title":{"xml:lang":"en","content":"1 Model Highlights"}}

Overview and Program Structure

{"title":{"xml:lang":"en","content":"Overview and Program Structure"}}

1 IMDIS – User Interface and Fundamentals

1 IMDIS – User Interface and Fundamentals

{"title":{"xml:lang":"en","content":"1 IMDIS \u2013 User Interface and Fundamentals"}}

2 IMDIS: User Manual Example

{"title":{"xml:lang":"en","content":"2 IMDIS: User Manual Example"}}

<DIV align=left>Romualdo Salcedo, Faculty of Engineering, Lepabe, University of Porto, Porto, Portugal</DIV>

 A distinguishing feature of IMDIS is the capability to find globally maximum concentrations under multisource/rose-wind conditions, either from real meteorological data or from potentially worst-case scenarios (critical conditions). The later seem to be especially relevant to the atomic energy industry.  

 A distinguishing feature of IMDIS is the capability to find globally maximum concentrations under multisource/rose-wind conditions,...

Frontmatter - IMDIS

Frontmatter

La gente legge anche