Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?
N Côrte-Real, P Ruivo, T Oliveira - Information & Management, 2020 - Elsevier
… with IoT data, which poses a colossal data quality challenge, in … types of big data (IoT big
data and the remaining big data) to … The data are characterized by heterogeneity, variety, noise, …
data and the remaining big data) to … The data are characterized by heterogeneity, variety, noise, …
A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
… However, the presence of heterogeneous devices in large … future wireless network requires
automated network processing, … of large data. Thus, in [38] unsupervised learning-based DL …
automated network processing, … of large data. Thus, in [38] unsupervised learning-based DL …
An integrated big and fast data analytics platform for smart urban transportation management
… management can be considered as a multifaceted big data … , widespread, and heterogeneous
data sources as well as on … The proposed Data Quality service architecture is depicted in …
data sources as well as on … The proposed Data Quality service architecture is depicted in …
Trends and future perspective challenges in big data
… integration because data is coming from several heterogeneous sources in complex and …
throughput from big data unique characteristics using advanced data science techniques in the …
throughput from big data unique characteristics using advanced data science techniques in the …
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
… systematic survey on using AI-big data analytics in BAMSs. It covers various AI-based
tasks, eg load forecasting, water management, indoor environmental quality monitoring, …
tasks, eg load forecasting, water management, indoor environmental quality monitoring, …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
… 6G wireless networks is estimated to provide big data rates with low latency through employing
… , delay, and low battery of the mobile terminal in heterogeneous wireless networks [178]. …
… , delay, and low battery of the mobile terminal in heterogeneous wireless networks [178]. …
Realizing the heterogeneity: A self-organized federated learning framework for IoT
… large weights to the clients with a larger data set, which inevitably sacrifice the other clients
who have less data volume but high data quality. … compression for wireless network in energy …
who have less data volume but high data quality. … compression for wireless network in energy …
Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges
… make full use of big data to overcome the challenges of designing and operating B5G
networks. … The future networks will be heterogeneous software-defined networks. Even different …
networks. … The future networks will be heterogeneous software-defined networks. Even different …
Distributed Q-learning aided heterogeneous network association for energy-efficient IIoT
… wireless networks: A brief survey and a learning approach for … ’s degree in wireless
communication and networking with the … wireless communications and networking as well as big …
communication and networking with the … wireless communications and networking as well as big …
Joint communication, computation, caching, and control in big data multi-access edge computing
… a big data framework for mobile network optimization using data from both network features
… heterogeneous cellular networks with D2D communication was studied. In order to satisfy …
… heterogeneous cellular networks with D2D communication was studied. In order to satisfy …