A survey of IoT security based on a layered architecture of sensing and data analysis

H Mrabet, S Belguith, A Alhomoud, A Jemai - Sensors, 2020 - mdpi.com
The Internet of Things (IoT) is leading today's digital transformation. Relying on a
combination of technologies, protocols, and devices such as wireless sensors and newly …

[HTML][HTML] Machine learning for Internet of Things data analysis: A survey

MS Mahdavinejad, M Rezvan, M Barekatain… - Digital Communications …, 2018 - Elsevier
Rapid developments in hardware, software, and communication technologies have
facilitated the emergence of Internet-connected sensory devices that provide observations …

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

A survey on iot big data: current status, 13 v's challenges, and future directions

M Bansal, I Chana, S Clarke - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Driven by the core technologies, ie, sensor-based autonomous data acquisition and the
cloud-based big data analysis, IoT automates the actuation of data-driven intelligent actions …

Machine learning algorithms for smart data analysis in internet of things environment: taxonomies and research trends

MH Alsharif, AH Kelechi, K Yahya, SA Chaudhry - Symmetry, 2020 - mdpi.com
Machine learning techniques will contribution towards making Internet of Things (IoT)
symmetric applications among the most significant sources of new data in the future. In this …

Intelligent homes' technologies to optimize the energy performance for the net zero energy home

F AlFaris, A Juaidi, F Manzano-Agugliaro - Energy and Buildings, 2017 - Elsevier
Nowadays the concept of intelligent homes and smart technologies are spreading out and
becoming a vital strategy to optimize the energy performance. Specially that the internet is …

Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization

K Kayabay, MO Gökalp, E Gökalp, PE Eren… - … Forecasting and Social …, 2022 - Elsevier
Leveraging data science can enable businesses to exploit data for competitive advantage
by generating valuable insights. However, many industries cannot effectively incorporate …

Integration of artificial intelligence into biogas plant operation

S Cinar, SO Cinar, N Wieczorek, I Sohoo, K Kuchta - Processes, 2021 - mdpi.com
In the biogas plants, organic material is converted to biogas under anaerobic conditions
through physical and biochemical processes. From supply of the raw material to the arrival …

Machine learning for smart farming: a focus on desert agriculture

A Muniasamy - 2020 International Conference on Computing …, 2020 - ieeexplore.ieee.org
Globally, farming is the great support of all economic growth. Three main developments
such as demographics, scarcity of natural resources, climate changes are placing pressure …

A survey on real-time big data analytics: applications and tools

B Yadranjiaghdam, N Pool… - … on computational science …, 2016 - ieeexplore.ieee.org
Large and complex amounts of data are being generated where traditional data processing
applications are inadequate to deal with them. On the other hand, there is a growing need …