Nora El-Gohary
- (2024): Few-shot object detection and attribute recognition from construction site images for improved field compliance. In: Automation in Construction, v. 167 (November 2024).
- (2024): Sensor deployment configurations for building energy consumption prediction. In: Energy and Buildings, v. 308 (April 2024).
- (2023): Consensus-based clustering for indoor sensor deployment and indoor condition monitoring. In: Building and Environment, v. 244 (Oktober 2023).
- (2023): Deep Learning–Based Named Entity Recognition and Resolution of Referential Ambiguities for Enhanced Information Extraction from Construction Safety Regulations. In: Journal of Computing in Civil Engineering, v. 37, n. 5 (September 2023).
- (2023): Deep learning approach for recognizing cold and warm thermal discomfort cues from videos. In: Building and Environment, v. 242 (August 2023).
- (2023): Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies. In: Journal of Computing in Civil Engineering, v. 37, n. 2 (März 2023).
- (2023): Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements. In: Automation in Construction, v. 147 (März 2023).
- (2023): Transformer-based approach for automated context-aware IFC-regulation semantic information alignment. In: Automation in Construction, v. 145 (Januar 2023).
- (2022): Deep Learning–Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction. In: Journal of Computing in Civil Engineering, v. 36, n. 5 (September 2022).
- (2022): Semantic Information Extraction of Energy Requirements from Contract Specifications: Dealing with Complex Extraction Tasks. In: Journal of Computing in Civil Engineering, v. 36, n. 5 (September 2022).
- (2022): Hierarchical Representation and Deep Learning–Based Method for Automatically Transforming Textual Building Codes into Semantic Computable Requirements. In: Journal of Computing in Civil Engineering, v. 36, n. 5 (September 2022).
- (2016): Ontology-based Sequence Labelling for Automated Information Extraction for Supporting Bridge Data Analytics. In: Procedia Engineering, v. 145 ( 2016).
- (2016): Building Lighting Energy Consumption Prediction for Supporting Energy Data Analytics. In: Procedia Engineering, v. 145 ( 2016).
- (2022): Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics. In: Journal of Construction Engineering and Management, v. 148, n. 6 (Juni 2022).
- (2022): Hybrid approach for energy consumption prediction: coupling data-driven and physical approaches. In: Energy and Buildings, v. 259 (März 2022).
- (2021): A deep neural network-based method for deep information extraction using transfer learning strategies to support automated compliance checking. In: Automation in Construction, v. 132 (Dezember 2021).
- (2021): Clustering-Based Approach for Building Code Computability Analysis. In: Journal of Computing in Civil Engineering, v. 35, n. 6 (November 2021).
- (2021): Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports. In: Journal of Computing in Civil Engineering, v. 35, n. 4 (Juli 2021).
- (2020): Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method. In: Journal of Computing in Civil Engineering, v. 34, n. 6 (November 2020).
- (2020): Work Optimization with Association Rule Mining of Accelerated Deterioration in Building Components. In: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 3 (Juni 2020).
- (2016): Ontology-Based Multilabel Text Classification of Construction Regulatory Documents. In: Journal of Computing in Civil Engineering, v. 30, n. 4 (Juli 2016).
- (2016): Domain-Specific Hierarchical Text Classification for Supporting Automated Environmental Compliance Checking. In: Journal of Computing in Civil Engineering, v. 30, n. 4 (Juli 2016).
- (2014): Civil Engineering Grand Challenges: Opportunities for Data Sensing, Information Analysis, and Knowledge Discovery. In: Journal of Computing in Civil Engineering, v. 28, n. 4 (Juli 2014).
- (2016): Evaluating the strength of text classification categories for supporting construction field inspection. In: Automation in Construction, v. 64 (April 2016).
- (2017): Ontology-based automated information extraction from building energy conservation codes. In: Automation in Construction, v. 74 (Februar 2017).
- (2017): Ontology-based semi-supervised conditional random fields for automated information extraction from bridge inspection reports. In: Automation in Construction, v. 81 (September 2017).
- (2016): Discrete Markov Approach for Building Component Condition, Reliability, and Service-Life Prediction Modeling. In: Journal of Performance of Constructed Facilities (ASCE), v. 30, n. 5 (Oktober 2016).
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