Nora El-Gohary
- (2024): Sensor deployment configurations for building energy consumption prediction. Dans: Energy and Buildings, v. 308 (avril 2024).
- (2023): Consensus-based clustering for indoor sensor deployment and indoor condition monitoring. Dans: Building and Environment, v. 244 (octobre 2023).
- (2023): Deep Learning–Based Named Entity Recognition and Resolution of Referential Ambiguities for Enhanced Information Extraction from Construction Safety Regulations. Dans: Journal of Computing in Civil Engineering, v. 37, n. 5 (septembre 2023).
- (2023): Deep learning approach for recognizing cold and warm thermal discomfort cues from videos. Dans: Building and Environment, v. 242 (août 2023).
- (2023): Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies. Dans: Journal of Computing in Civil Engineering, v. 37, n. 2 (mars 2023).
- (2023): Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements. Dans: Automation in Construction, v. 147 (mars 2023).
- (2023): Transformer-based approach for automated context-aware IFC-regulation semantic information alignment. Dans: Automation in Construction, v. 145 (janvier 2023).
- (2022): Deep Learning–Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction. Dans: Journal of Computing in Civil Engineering, v. 36, n. 5 (septembre 2022).
- (2022): Semantic Information Extraction of Energy Requirements from Contract Specifications: Dealing with Complex Extraction Tasks. Dans: Journal of Computing in Civil Engineering, v. 36, n. 5 (septembre 2022).
- (2022): Hierarchical Representation and Deep Learning–Based Method for Automatically Transforming Textual Building Codes into Semantic Computable Requirements. Dans: Journal of Computing in Civil Engineering, v. 36, n. 5 (septembre 2022).
- (2016): Ontology-based Sequence Labelling for Automated Information Extraction for Supporting Bridge Data Analytics. Dans: Procedia Engineering, v. 145 ( 2016).
- (2016): Building Lighting Energy Consumption Prediction for Supporting Energy Data Analytics. Dans: Procedia Engineering, v. 145 ( 2016).
- (2022): Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics. Dans: Journal of Construction Engineering and Management, v. 148, n. 6 (juin 2022).
- (2022): Hybrid approach for energy consumption prediction: coupling data-driven and physical approaches. Dans: Energy and Buildings, v. 259 (mars 2022).
- (2021): A deep neural network-based method for deep information extraction using transfer learning strategies to support automated compliance checking. Dans: Automation in Construction, v. 132 (décembre 2021).
- (2021): Clustering-Based Approach for Building Code Computability Analysis. Dans: Journal of Computing in Civil Engineering, v. 35, n. 6 (novembre 2021).
- (2021): Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports. Dans: Journal of Computing in Civil Engineering, v. 35, n. 4 (juillet 2021).
- (2020): Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method. Dans: Journal of Computing in Civil Engineering, v. 34, n. 6 (novembre 2020).
- (2020): Work Optimization with Association Rule Mining of Accelerated Deterioration in Building Components. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 3 (juin 2020).
- (2016): Ontology-Based Multilabel Text Classification of Construction Regulatory Documents. Dans: Journal of Computing in Civil Engineering, v. 30, n. 4 (juillet 2016).
- (2016): Domain-Specific Hierarchical Text Classification for Supporting Automated Environmental Compliance Checking. Dans: Journal of Computing in Civil Engineering, v. 30, n. 4 (juillet 2016).
- (2014): Civil Engineering Grand Challenges: Opportunities for Data Sensing, Information Analysis, and Knowledge Discovery. Dans: Journal of Computing in Civil Engineering, v. 28, n. 4 (juillet 2014).
- (2016): Evaluating the strength of text classification categories for supporting construction field inspection. Dans: Automation in Construction, v. 64 (avril 2016).
- (2017): Ontology-based automated information extraction from building energy conservation codes. Dans: Automation in Construction, v. 74 (février 2017).
- (2017): Ontology-based semi-supervised conditional random fields for automated information extraction from bridge inspection reports. Dans: Automation in Construction, v. 81 (septembre 2017).
- (2016): Discrete Markov Approach for Building Component Condition, Reliability, and Service-Life Prediction Modeling. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 30, n. 5 (octobre 2016).
Structurae coopère avec
