Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …
autonomous software that optimizes decision-making and energy distribution operations …
Recent advances on industrial data-driven energy savings: Digital twins and infrastructures
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 …
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
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 …
(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 …
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
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 …
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 …
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
[HTML][HTML] Artificial intelligence as a service: classification and research directions
Artificial Intelligence (AI) is undoubtedly one of the most actively debated technologies,
providing auspicious opportunities to contribute to individuals' well-being, the success and …
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 …
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 …
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)
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 …
orang yang menguasai ilmu Big Data. Dengan Big Data orang-orang mampu menganalisis …