Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …

T Ahmad, R Madonski, D Zhang, C Huang… - … and Sustainable Energy …, 2022 - Elsevier
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …

Recent advances on industrial data-driven energy savings: Digital twins and infrastructures

SY Teng, M Touš, WD Leong, BS How, HL Lam… - … and Sustainable Energy …, 2021 - Elsevier
Data-driven models for industrial energy savings heavily rely on sensor data,
experimentation data and knowledge-based data. This work reveals that too much research …

[图书][B] AI-Aided IoT Technologies and Applications for Smart Business and Production

A Khang, A Misra, SK Gupta, V Shah - 2023 - books.google.com
This book covers the need for Internet of Things (IoT) technologies and artificial intelligence
(AI)–aided IoT solutions for business and production. It shows how IoT-based technology …

[HTML][HTML] Democratizing artificial intelligence: How no-code AI can leverage machine learning operations

L Sundberg, J Holmström - Business Horizons, 2023 - Elsevier
Organizations are increasingly seeking to generate value and insights from their data by
integrating advances in artificial intelligence (AI)(eg, machine learning (ML) systems) into …

[HTML][HTML] Challenges to use machine learning in agricultural big data: a systematic literature review

A Cravero, S Pardo, S Sepúlveda, L Muñoz - Agronomy, 2022 - mdpi.com
Agricultural Big Data is a set of technologies that allows responding to the challenges of the
new data era. In conjunction with machine learning, farmers can use data to address …

A systematic survey of data mining and big data analysis in internet of things

Y Zhong, L Chen, C Dan, A Rezaeipanah - The Journal of …, 2022 - Springer
Abstract The Internet of Things (IoT) is an emerging paradigm that offers remarkable
opportunities for data mining and analysis. IoT envisions a world where all smartphones …

[HTML][HTML] Artificial intelligence as a service: classification and research directions

S Lins, KD Pandl, H Teigeler, S Thiebes… - Business & Information …, 2021 - Springer
Artificial Intelligence (AI) is undoubtedly one of the most actively debated technologies,
providing auspicious opportunities to contribute to individuals' well-being, the success and …

Big data in forecasting research: a literature review

L Tang, J Li, H Du, L Li, J Wu, S Wang - Big Data Research, 2022 - Elsevier
With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

[HTML][HTML] Use and adaptations of machine learning in big data—Applications in real cases in agriculture

A Cravero, S Sepúlveda - Electronics, 2021 - mdpi.com
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …

[图书][B] Penerapan & Implementasi Big Data di Berbagai Sektor (Pembangunan Berkelanjutan Era Industri 4.0 dan Society 5.0)

ST Muhammad Wali, S Efitra, M Kom, IGI Sudipa… - 2023 - books.google.com
Saat ini dan masa depan orang yang dapat mengendalikan dan menguasai dunia adalah
orang yang menguasai ilmu Big Data. Dengan Big Data orang-orang mampu menganalisis …