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Kirjailija

Antonios Gasteratos

Kirjat ja teokset yhdessä paikassa: 4 kirjaa, julkaisuja vuosilta 2022–2025, suosituimpiin kuuluu Online Appearance-Based Place Recognition and Mapping. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

4 kirjaa

Kirjojen julkaisuvuodet: 2022–2025.

Integrating Marketing and Supply Chain Management

Integrating Marketing and Supply Chain Management

Thomas Fotiadis; Dimitris Folinas; Adam Lindgreen; Antonios Gasteratos; Christos A. Vassiliadis

TAYLOR FRANCIS LTD
2025
sidottu
Successful organisations have long recognised the importance of demand-supply integration to maintaining growth and success. Integrating Marketing and Supply Chain Management brings together the two disciplines, marketing and supply chain management, to provide students with a bird’s-eye view of these disciplines and to appreciate their symbiotic relationship to one another. Taking account of the key strategic priorities from the marketing and supply chain disciplines, the authors demonstrate how both disciplines can be managed synergistically to the benefit of the organisation. Pedagogical features include; multiple choice questions, extended essay questions and learning objectives in each chapter. Case studies from a range of global industries are incorporated, including shipping, car manufacturing, and the retail grocery sector. Overall, this bridge-building textbook is essential reading for students of marketing, logistics, supply chain management, and procurement.
Integrating Marketing and Supply Chain Management

Integrating Marketing and Supply Chain Management

Thomas Fotiadis; Dimitris Folinas; Adam Lindgreen; Antonios Gasteratos; Christos A. Vassiliadis

TAYLOR FRANCIS LTD
2025
nidottu
Successful organisations have long recognised the importance of demand-supply integration to maintaining growth and success. Integrating Marketing and Supply Chain Management brings together the two disciplines, marketing and supply chain management, to provide students with a bird’s-eye view of these disciplines and to appreciate their symbiotic relationship to one another. Taking account of the key strategic priorities from the marketing and supply chain disciplines, the authors demonstrate how both disciplines can be managed synergistically to the benefit of the organisation. Pedagogical features include; multiple choice questions, extended essay questions and learning objectives in each chapter. Case studies from a range of global industries are incorporated, including shipping, car manufacturing, and the retail grocery sector. Overall, this bridge-building textbook is essential reading for students of marketing, logistics, supply chain management, and procurement.
Online Appearance-Based Place Recognition and Mapping

Online Appearance-Based Place Recognition and Mapping

Konstantinos A. Tsintotas; Loukas Bampis; Antonios Gasteratos

Springer International Publishing AG
2023
nidottu
This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow.
Online Appearance-Based Place Recognition and Mapping

Online Appearance-Based Place Recognition and Mapping

Konstantinos A. Tsintotas; Loukas Bampis; Antonios Gasteratos

Springer International Publishing AG
2022
sidottu
This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow.