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Judul Emerging Trends in Sustainable Energy, Smart Systems, and Green Technology / Edited By David Olatunde Olukanni, Oluseyi Olanrewaju Ajayi, Joshua Olusegun Okeniyi, Shalom Nwodo Chinedu, Obinna Chukwuemeka Nwinyi, Oluranti Agboola, Kehinde David Oyeyemi, Joseph Osekhoghene Dirisu
Pengarang Olukanni , David Olatunde
Ajayi, Oluseyi Olanrewaju
OkeniyiIkon, Joshua Olusegun Okeniyi
Chinedu, Shalom Nwodo
Nwinyi, Obinna Chukwuemeka
Agboola, Oluranti
Oyeyemi, Kehinde David
Dirisu, Joseph Osekhoghene
Penerbitan London : Taylor & Francis, 2026
Deskripsi Fisik 1602 :ilus.
Subjek Engineering & Technology
Catatan The accelerating global demand for sustainable solutions has catalyzed the integration of emerging technologies with sustainability-driven innovations. This book explores the intersection of technology, engineering, and environmental responsibility through six critical themes: Artificial Intelligence and Machine Learning for Sustainability, Cloud Computing Technologies, Sustainable Energy Technologies, Sustainable Materials and the Built Environment, Sustainable Actions, and Innovative Engineering and Technology. Artificial intelligence and machine learning play a pivotal role in optimizing resource management and enabling low-carbon decision-making, while cloud computing technologies provide scalable platforms for collaboration and innovation. Sustainable energy technologies such as solar, wind, and bioenergy are examined as vital pathways toward clean power generation. The discussion extends to sustainable materials and the built environment, emphasizing eco-friendly design and circular economy principle
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Lokasi Akses Online https://doi.org/10.1201/9781003782254

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
453826192 Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
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035 # # $a 0010-1026000663
245 # # $a Emerging Trends in Sustainable Energy, Smart Systems, and Green Technology /$c Edited By David Olatunde Olukanni, Oluseyi Olanrewaju Ajayi, Joshua Olusegun Okeniyi, Shalom Nwodo Chinedu, Obinna Chukwuemeka Nwinyi, Oluranti Agboola, Kehinde David Oyeyemi, Joseph Osekhoghene Dirisu
260 # # $a London :$b Taylor & Francis,$c 2026
300 # # $a 1602 : $b ilus.
504 # # $a The accelerating global demand for sustainable solutions has catalyzed the integration of emerging technologies with sustainability-driven innovations. This book explores the intersection of technology, engineering, and environmental responsibility through six critical themes: Artificial Intelligence and Machine Learning for Sustainability, Cloud Computing Technologies, Sustainable Energy Technologies, Sustainable Materials and the Built Environment, Sustainable Actions, and Innovative Engineering and Technology. Artificial intelligence and machine learning play a pivotal role in optimizing resource management and enabling low-carbon decision-making, while cloud computing technologies provide scalable platforms for collaboration and innovation. Sustainable energy technologies such as solar, wind, and bioenergy are examined as vital pathways toward clean power generation. The discussion extends to sustainable materials and the built environment, emphasizing eco-friendly design and circular economy principles. The book also highlights sustainable actions driven by policy, behavioral change, and community engagement. Together, these domains represent a multidisciplinary pathway toward achieving global sustainability goals, fostering a balance between technological advancement and ecological preservation. This book is a key resource for leaders, academia, policymakers, professionals, and researchers to advance sustainable development through science, technology, and engineering. It provides valuable insights for integrating AI, renewable energy, and sustainable engineering into practical applications for a greener future.
650 # # $a Engineering & Technology
700 1 # $a Agboola, Oluranti
700 1 # $a Ajayi, Oluseyi Olanrewaju
700 1 # $a Chinedu, Shalom Nwodo
700 1 # $a Dirisu, Joseph Osekhoghene
700 1 # $a Nwinyi, Obinna Chukwuemeka
700 1 # $a OkeniyiIkon, Joshua Olusegun Okeniyi
700 1 # $a Olukanni , David Olatunde
700 1 # $a Oyeyemi, Kehinde David
856 # # $a https://doi.org/10.1201/9781003782254
990 # # $a 453826192
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