
| Judul | Recent Advances in Intelligent Applications of Well-Being Spaces Design and Engineering / Guodan Liu, Hongbing Chen,Sheng Miao |
| Pengarang | Liu, Guodan Chen,Hongbing Miao, Sheng |
| Penerbitan | Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute, 2026 |
| Deskripsi Fisik | 308 :ilus ;25 cm |
| ISBN | 978-3-7258-8874-0 |
| Subjek | BUILT ENVIRONMENT—ENVIRONMENTAL ASPECTS |
| Catatan | his Reprint assembles ten original studies and one review, collectively reshaping how AI, deep learning, computational fluid dynamics, evolutionary game theory, and neurophysiological sensing foster healthier, more responsive built environments. Spanning scales from primary school layouts and historic district revitalization to urban energy use and construction carbon emissions, the collection quantifies how street greenery, building morphology, airflow, and lightscapes influence perceived safety, comfort, walkability, and aesthetics. Advanced frameworks objectively assess indoor lighting, ventilation stability, and microclimates in dense cities. Evolutionary game models resolve stakeholder trade-offs in space use, while cross-city analyses link urban form to building energy performance across climates. The review critically identifies gaps in lifecycle carbon accounting, urging finer-grained assessment. Uniting these works is a commitment to data-driven, human-centric solutions that balance efficiency, healt |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://mdpi-res.com/bookfiles/book/13521/Recent_Advances_in_Intelligent_Applications_of_WellBeing_Spaces_Design_and_Engineering.pdf?v=1792737089 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 433626192 | 720 Liu r | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 005 | 20261023025818 | ||
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| 100 | 1 | # | $a Liu, Guodan |
| 245 | 1 | # | $a Recent Advances in Intelligent Applications of Well-Being Spaces Design and Engineering /$c Guodan Liu, Hongbing Chen,Sheng Miao |
| 260 | # | # | $a Basel, Switzerland :$b MDPI - Multidisciplinary Digital Publishing Institute,$c 2026 |
| 300 | # | # | $a 308 : $b ilus ; $c 25 cm |
| 505 | # | # | $a his Reprint assembles ten original studies and one review, collectively reshaping how AI, deep learning, computational fluid dynamics, evolutionary game theory, and neurophysiological sensing foster healthier, more responsive built environments. Spanning scales from primary school layouts and historic district revitalization to urban energy use and construction carbon emissions, the collection quantifies how street greenery, building morphology, airflow, and lightscapes influence perceived safety, comfort, walkability, and aesthetics. Advanced frameworks objectively assess indoor lighting, ventilation stability, and microclimates in dense cities. Evolutionary game models resolve stakeholder trade-offs in space use, while cross-city analyses link urban form to building energy performance across climates. The review critically identifies gaps in lifecycle carbon accounting, urging finer-grained assessment. Uniting these works is a commitment to data-driven, human-centric solutions that balance efficiency, health, and heritage. This volume offers researchers, planners, and policymakers both theoretical frameworks and practical evidence for creating resilient, equitable, and vibrant spaces amid rapid urbanization and climate pressures. |
| 650 | # | # | $a BUILT ENVIRONMENT—ENVIRONMENTAL ASPECTS |
| 700 | 1 | # | $a Chen,Hongbing |
| 700 | 1 | # | $a Miao, Sheng |
| 856 | # | # | $a https://mdpi-res.com/bookfiles/book/13521/Recent_Advances_in_Intelligent_Applications_of_WellBeing_Spaces_Design_and_Engineering.pdf?v=1792737089 |
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