Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Khan, Z. (Zaheer)"'
Autor:
Khan, Z. (Zaheer)
The aim of this thesis is to devise coordination and adaptation techniques that enable the wireless devices operating in a cognitive network to utilize their available resources efficiently. The first part of this thesis considers the case where mult
Externí odkaz:
http://urn.fi/urn:isbn:9789514295980
Publikováno v:
Multinational Business Review.
Purpose This study aims to understand the dynamics underpinning the exit and re-entry strategies adopted by multinational enterprises (MNEs) in an emerging market, Pakistan. Design/methodology/approach This study undertook an in-depth historical case
Autor:
Arslan, A. (Ahmad), Golgeci, I. (Ismail), Khan, Z. (Zaheer), Ahokangas, P. (Petri), Haapanen, L. (Lauri)
Purpose: This paper aims to focus on the influences of the COVID-19 pandemic on business-to-business (B2B) firms’ relationship initiation and customer relationship management in an under-explored and unique context of high-tech industrial microente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::b22ba6e1d9f758fc93567f44a4d49d1e
http://urn.fi/urn:nbn:fi-fe2021082544220
http://urn.fi/urn:nbn:fi-fe2021082544220
Deep learning based channel estimation techniques have recently found an overwhelming interest owing to data-driven learning-based adaptability compared to conventional estimation techniques which rely on model-based approach. This paper exploits the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::007b69039fd635bd6e338c741edbc94f
http://urn.fi/urn:nbn:fi-fe2022061345982
http://urn.fi/urn:nbn:fi-fe2022061345982
Autor:
Tian, A. Y. (Anna Yumiao), Ahammad, M. F. (Mohammad Faisal), Tarba, S. Y. (Shlomo Yedidia), Pereira, V. (Vijay), Arslan, A. (Ahmad), Khan, Z. (Zaheer)
Over the last two decades, performance management systems (PMSs) have been the focus of increasing attention. However, scant research has examined the link between individual‐ and organizational‐level performance in the context of cross‐border
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::4474ec178e3d8cae82d91e762c372760
http://urn.fi/urn:nbn:fi-fe202103086751
http://urn.fi/urn:nbn:fi-fe202103086751
The COVID-19 pandemic has been referred to as one of the most significant health related crises in recent memory, which has also had significant economic and societal implications. Scholars suggest that defining strategic industries is rather difficu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::95a7f869495cfad608f11b5507ceb680
http://urn.fi/urn:nbn:fi-fe20201223102749
http://urn.fi/urn:nbn:fi-fe20201223102749
Purpose: This paper presents a theorization and an empirical analysis of the influences of international open innovation (IOI) on the international market success of emerging market small and medium-sized enterprises (ESMEs). An analysis of the moder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::2a0a4d8b60eb320fefde1bd3e98644ac
http://urn.fi/urn:nbn:fi-fe2021082544154
http://urn.fi/urn:nbn:fi-fe2021082544154
Supply chain disruption refers to a breakdown, often caused by an unforeseen incident or risk, in a supply chain’s production or distribution process. Contemporary supply chains are globalized, complex, and extended, exhibiting an increased vulnera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::558f72a77c22de1893b967df9b2d0331
http://urn.fi/urn:nbn:fi-fe2021072741755
http://urn.fi/urn:nbn:fi-fe2021072741755
Learning the channel occupancy patterns to reuse the underutilised spectrum frequencies without interfering with the incumbent is a promising approach to overcome the spectrum limitations. In this work we proposed a Deep Learning (DL) approach to lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::2a03a45a03d2009227cd3208d230ff72
http://urn.fi/urn:nbn:fi-fe2020102687724
http://urn.fi/urn:nbn:fi-fe2020102687724
Wireless traffic usage forecasting methods can help to facilitate proactive resource allocation solutions in cloud managed wireless networks. In this paper, we present temporal and spatial analysis of network traffic using real traffic data of an ent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::1a481da72ed12d6f1493667ad1752da2
http://urn.fi/urn:nbn:fi-fe2020081460403
http://urn.fi/urn:nbn:fi-fe2020081460403