Results 191 to 200 of about 6,663 (300)

Unveiling spatial heterogeneity in urban underground space development patterns and mechanisms for differentiated planning: A points of interest‐based study of Shanghai

Deep Underground Science and Engineering, EarlyView.
This study investigated the spatial patterns and development mechanisms of urban underground space (UUS) in Shanghai using underground points of interest data. It revealed distinct development mechanisms between the main city and suburbs, highlighting the need for differentiated UUS planning and policies to optimize underground space resources ...
Chenxiao Ma, Fangle Peng, Yongkang Qiao, Yunhao Dong   +3 more
wiley   +1 more source

Indoor augmented reality (AR) pedestrian navigation for emergency evacuation based on BIM and GIS. [PDF]

Heliyon
Valizadeh M, Ranjgar B, Niccolai A, Hosseini H, Rezaee S, Hakimpour F.   +5 more
europepmc   +1 more source

A Cooperative Machine Learning Approach for Pedestrian Navigation in Indoor IoT. [PDF]

Sensors (Basel), 2019
Jalal Abadi M, Luceri L, Hassan M, Chou CT, Nicoli M.   +4 more
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

Letting People in: Redefining Collaboration in Wildland–Urban Interface Governance

Environmental Policy and Governance, EarlyView.
ABSTRACT Intensifying wildfire regimes and expanding human settlements into wilderness areas have heightened concerns about the wildland–urban interface (WUI) due to the associated increase in fire risk. However, the WUI presents broader social‐ecological challenges that go beyond wildfire risk and remain understudied.
Clara Mosso, Harrison Fried, Karissa Courtney, Jonathan Salerno, Stephanie Kampf, Andrea Baudoin Farah   +5 more
wiley   +1 more source

Integrating Moving Platforms in a SLAM Agorithm for Pedestrian Navigation. [PDF]

Sensors (Basel), 2018
Kaiser S, Lang C.
europepmc   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Aftasten/Tantear: A sensorial, coalitional wayfinding among Muslim runners

Feminist Anthropology, EarlyView.
Abstract Muslim recreational runners in Muslim‐minority settings that take up running as their preferred form of leisure indicate that they feel they have to navigate a sense of exclusion when running outdoors. This article explores the process of exploration and sensing in public, represented by the Dutch verb aftasten, to investigate the way Muslim ...
Jasmijn Rana
wiley   +1 more source

A Conceptual Framework for Authentic AI‐Enabled Assessment (AAA) in Higher Education

Future in Educational Research, EarlyView.
ABSTRACT Higher education is at a critical juncture as generative artificial intelligence (AI) redefines assessment practices. This article offers a conceptual framework illustrating how authentic AI‐enhanced assessments (AAA) can support the reclamation of higher education's core mission: developing critical thinking, creativity, ethical reasoning ...
Dilani Gedera
wiley   +1 more source