asce international conference on computing in civil engineering 2022
Your Flyer in Attendee Bags About . Abstracts should be 250 words or less: https://lnkd.in/gnbYcX7u The 2023 #conference theme is . Recognition in pre-conference emails to prospective conference attendees ASPE has secured a discounted room rate of $199 . Hosted by the University of Florida, the i3CE 2021 conference is at the Embassy Suites Lake Buena Vista South, nearby Walt Disney World. 5. Your company name or logo will appear on the badge holders handed out to all meeting attendees a perfect opportunity for branding. Recognition in pre-conference emails to prospective conference attendees Newsletter Had lots of great conversations with prospective students and corporate companies. ASCE sustainability conferences and events are the perfect platforms to exchange ideas, meet a diverse group of colleagues, participate in discussions, learn about the latest innovations in your field, and earn professional development hours (PDHs). American Society of Civil Engineers 1801 Alexander Bell Drive Reston, VA United States 20191-4400 Conference: ASCE International Conference on Computing in Civil Engineering 2021 Location: Orlando Florida, United States Date: 2021-9-12 to 2021-9-14 Publication Date: 2022 Language English Media Info Media Type: Web ASCE 2022 will be held in Anaheim, California, at the Disneyland Hotel! The theme of this conference is IT for Smart Infrastructure and Communities. Internet sources must be credited like any other reference source, and the credit or reference must include the complete URL and the date you accessed the material. Sep 13, 2021 The 2021 ASCE International Conference on Computing in Civil Engineering (i3CE 2021) is from September 12th to September 14th. https://doi.org/10.1061/9780784483893.001, https://doi.org/10.1061/9780784483893.002, https://doi.org/10.1061/9780784483893.003, https://doi.org/10.1061/9780784483893.004, https://doi.org/10.1061/9780784483893.005, https://doi.org/10.1061/9780784483893.006, https://doi.org/10.1061/9780784483893.007, https://doi.org/10.1061/9780784483893.008, https://doi.org/10.1061/9780784483893.009, https://doi.org/10.1061/9780784483893.010, https://doi.org/10.1061/9780784483893.011, https://doi.org/10.1061/9780784483893.012, https://doi.org/10.1061/9780784483893.013, https://doi.org/10.1061/9780784483893.014, https://doi.org/10.1061/9780784483893.015, https://doi.org/10.1061/9780784483893.016, https://doi.org/10.1061/9780784483893.017, https://doi.org/10.1061/9780784483893.018, https://doi.org/10.1061/9780784483893.019, https://doi.org/10.1061/9780784483893.020, 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in Civil Engineering 2021, Laser Intensity-Assisted Construction Material Classification in Point Cloud Data Using Deep Learning, Data-Driven Building Occupancy Prediction: An Educational Building Case Study, Implementing Haar Cascade Classifiers for Automated Rapid Detection of Light Aircraft at Local Airports, Natural Language Processing Application in Construction Domain: An Integrative Review and Algorithms Comparison, Prediction-Enabled Collision Risk Estimation for Safe Human-Robot Collaboration on Unstructured and Dynamic Construction Sites, Characterizing Perceived Data Sharing Barriers and Promotion Strategies in Civil Engineering, Improving 2D Construction Plans with Cycle-Consistent Generative Adversarial Networks, PPE-Glove Detection for Construction Safety Enhancement Based on Transfer Learning, Assessing Exposure to Slip, Trip, and Fall Hazards by Measuring Construction Worker Loss of Balance, A Machine Learning-Based Framework for Automatic Bridge Deck Condition Assessment Using Ground Penetrating Radar, Internet of Things Frameworks for Smart City ApplicationsA Systematic Review, Improving the Prediction Accuracy of Data-Driven Fault Diagnosis for HVAC Systems by Applying the Synthetic Minority Oversampling Technique, Identifying Temporal Instability in Factors Causing Work Zone Crash Occurrences Using Fast Causal Inference, Investigating the Potentials of Operational Data Collected from Facilities Embedded Sensors for Early Detection of HVAC Systems Failures, Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications, Analysis of Energy Use Behaviors in Residential Buildings Using Real-World Home Energy Sensors, Extracting Building Characteristics Essential for Building Energy Consumption Predictions: Learning from Faade Images through Deep Learning, Artificial-Neural-Network-Based Model for Predicting Heating and Cooling Loads on Residential Buildings, Autonomous Alignment Monitoring for Large-Scale Conveyor Systems Using UAVs, Photogrammetry, and Machine Learning, Bayesian Inference for Uncertainty-Aware Post-Disaster Damage Assessment Using Artificial Intelligence, Deep Learning-Based Named Entity Recognition from Construction Safety Regulations for Automated Field Compliance Checking, Highway Project Clustering Using Unsupervised Machine Learning Approach, Deep Learning-Based Sequence Labeling for Information Extraction from Multiple Types of Textual Bridge Reports, Urban Building Energy Modeling: A Time-Series Building Energy Consumption Use Simulation Prediction Tool Based on Graph Neural Network, Statistical Analysis of Laundry Time Use and Energy Demand in US Residential Housing, Evaluating Computational Methodologies for Grading Buildings on Energy Performance Using Machine Learning Techniques, Activity Recognition of Construction Equipment Using Generated Sound Data, Training a Visual Scene Understanding Model Only with Synthetic Construction Images, Sensitivity Analysis of Missing Data Imputation Methods for Reliable Bridge Condition Assessment, Development of an Autopilot Model for Shield Tunneling Machines Using Machine Learning, Modeling the Impact of Visual Access and Crowd Flow on Human Indoor Emergency Wayfinding: From Empirical Investigations to Simulations, Human Reliability Analysis and Prediction for Visual Inspection in Bridge Maintenance, Prediction of Kinematic and Kinetic Behavior of a Human Body While Performing Labor-Intensive Repetitive Task Using Machine Learning, Proactive Smart Home Assistants for AutomationUser Characteristic-Based Preference Prediction with Machine Learning Techniques, Toward Integrated Human-Machine Intelligence for Civil Engineering: An Interdisciplinary Perspective, Developing a Data-Driven Framework for Lighting Energy Consumption Prediction in US Office Buildings, Trust in AI and Implications for AEC Research: A Literature Analysis, Human-Robot Co-Adaptation in Construction: Bio-Signal Based Control of Bricklaying Robots, Assessment of Exoskeletons for the Rehabilitation of Industrialized Construction Workforce, New Risks for Workers at Heights: Human-Drone Collaboration Risks in Construction, A Preliminary Review of Current Research Studies on Human Robot Collaboration in Construction Industry, Development of a Student-Centric Cyber-Physical System (SCPS): An Android App for Interactive Learning of Structural Analysis and Dynamics, A Blockchain Information Management Framework for Construction Safety, Digital Twin Technology Applications for Transportation InfrastructureA Survey-Based Study, Integrated Management of Bridge Infrastructure through Bridge Digital Twins: A Preliminary Case Study, Digital Twin Application in Healthcare Facilities Management, Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-Based Approach, Automated Geometric Reconstruction of Partially Occluded Steel Elements from Terrestrial Laser Scanning Data, Room Data Sheets for Architectural Programming, Using Landsat Imagery to Study Spatio-Temporal Relationship between Surface Temperature and Energy Consumption: A Case Study of a Public University Campus, Parameterized FEA Model Generation and Simulation of Underground Structures Based on BIM: A Case Study, Leveraging Digital Twin for Enhancing Occupants Comfort: A Case Study, Query Answering System for Building Information Modeling Using BERT NN Algorithm and NLG, Towards the Integration of Image-Based Appearance Information into BIM, Assessing Social Equity in Highway Asset Management Plans, Maintenance Management System Using Road Images and 3D Data, A Unified Acceptance Model for BIM for FM: Conceptual Development, Semantic Representation Learning and Information Integration of BIM and Regulations, Virtual Permitting Framework (VPF) for Alternate Care Sites (ACS): Planning in the Wake of Coronavirus Pandemic, Examining Spatial Clusters for Identifying Risk Hotspots of Communities Susceptible to Flood-Induced Transportation Disruptions, Developing a Web-Based BIM Asset and Facility Management System of Building Digital Twins, A Systematic Review of Image-Based Technologies for Detecting As-Is BIM Objects, Knowledge Loss Measurement through Quality Evaluation of Conceptual Graphs, A Literature Review on the Usage of Ontologies for Quality Management in the Construction Execution Phase, Review of Data Serialization Challenges and Validation Methods for Improving Interoperability, Effectiveness and Practicability Analysis of BIM Adoption in the AEC Industry, A Framework for Automated Daily Construction Progress Monitoring Leveraging Unordered Site Photographs, CLOI: An Automated Benchmark Framework for Generating Geometric Digital Twins of Industrial Facilities, Toward a Digital Twin for Monitoring In-Service Performance of Post-Tensioned Self-Centering Cross-Laminated Timber Shear Walls, Roadway Contextual Risk Assessment Using Dynamic Traffic Conditions Data Obtained from Autonomous Vehicles, Registering and Fusing Thermal Anomalies in Aerial Infrared Images to a 3D Building Model, Developing an Advanced Automated Modular Housing Design System Using Deep Learning and Building Information Modeling (BIM), Construction Activity Dependency and Sequencing Analysis for Robotic Construction Methods Based on Graph Analysis, Mining Observation and Cognitive Behavior Process Patterns of Bridge Inspectors, Developing a Federated Data Model for Built Environment Digital Twins, Generative Design for Tower Crane Position Optimization, Interoperability between BIM and BEM Using IFC, A Data Tracking Tool to Improve Cost Management Reporting for Large Capital Projects, BIM Based Damage Assessment on the Example of Cracks in Concrete Structures, Strategies for Rule-Based Generated Assembly Sequences in Large-Scale Plant Construction, Optimization of Point Clouds RGB and Thermal Information Data Fusion for Buildings 3D Thermal Mapping, Using Jaccard Similarity to Identify New Issues from AEC Project Team Meeting Minutes, An Empirical Evaluation of Indoor Environmental Quality Factors Impact on Productivity between Office- and Home-Based Work Environments among Occupants with Different Genders and Ages, Integrated Energy-Use Model to Identify Energy-Use Profile of Hotel Guests, A Dynamic Controller for Residential Energy Management at the Intersection of Occupant Thermal Comfort and Dynamic Electricity Price, Using Statistical Models to Detect Occupancy in Buildings through Monitoring VOC, CO2, and Other Environmental Factors, Structural Deterioration Knowledge Ontology for Supporting Adaptive Intelligence-Based Bridge Deterioration Prediction, Unified Breakdown Structures for Standard Information Exchange in Building and Plant Industry: Variables for Theory and Implementation, A Semantic Model for Pavement Management Data, Ontology Approach for Building Life Cycle Data Management, An Ontology for Manufacturability and Constructability of Prefabricated Component, The Usage of Association Rule Mining towards Future-Proofed Transportation Infrastructure Planning, Using Ontologies for Knowledge-Based Monitoring of Building Energy Systems, Integration and Provision of BIM-Based Information Containers for the Asset Management of Roads and Bridges, Neural Language Model Based Intelligent Semantic Information Retrieval on NCDOT Projects for Knowledge Management, Smart and Emerging Technologies: Shaping the Future of the Industry and Offsite Construction, Identifying Interconnectivities between Modular Construction Decision-Making Factors Using Clustering and Network Analysis, Review of Blockchain Technology Applications in Construction Engineering and Management, An Agent-Based Model for Construction Material Management through a Non-Homogeneous Storage System, Automation in Safety Planning in Construction: Insights from a Literature Review, A Simulation Model for Optimal Bidding Decisions, Accelerating the Uptake of Advanced Digital Technologies for Health and Safety Management within Construction: Small and Medium Enterprises (SMEs), Identifying Key Variables Explaining the Profit of Construction Companies from Financial Statement Data, Costs and Benefits of Efficiency Measurement for the AEC Industry, Artificial Intelligence-Based Framework for Automating Practical Pipe System Installation Schedule Optimization and Generation, A Data Management Framework for Sustainable Design and Facility Management, A State-of-the-Art Review of Alternative Delivery Systems in Horizontal Construction, Analysis of Flight Parameters on UAV Semantic Segmentation Performance for Highway Infrastructure Monitoring, AI-Driven 3D Point Cloud-Based Highway Infrastructure Monitoring System Using UAV, Semantic Detection of Potential Wind-Borne Debris in Construction Jobsites: Digital Twining for Hurricane Preparedness and Jobsite Safety, Utilization of Low Pass Filters for the Calculation of Termination Points 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Images, Cinemagraphs, and Videos: A Case Study with Construction Experts, Online VR Training with Virtual Humans and Omnidirectional Images for Fall Hazard Recognition, Point Clouds vs. 360 Photos: Comparing the Workflow and Benefits of Viewing Laser Scans in VR, Using Mixed Reality in Online Learning Environments, The Role of Spatial Information in Search and Rescue: A Virtual Reality Experiment, Spatial Memory of Building Layout via 2D, 3D, and Virtual Reality, Defining Factors That Support or Hinder Commercially Available Augmented Reality (AR) Devices for Construction Communication, The Perception of Virtual and Augmented Realities in the Construction Industry Based on Contractors Perspectives in Washington State, Benchmarking the Use of Immersive Virtual Bike Simulators for Understanding Cyclist Behaviors, AI Design Approach for Urban Plaza: Human Behavior-Based Algorithm, Working with Drones: Design and Development of a Virtual Reality Safety Training Environment for Construction Workers, Analyzing Barriers and Uniformity of Multi-Dimensional BIM Applications, Application of Vision-Based Artificial Intelligence in Creating a Contactless Interaction with Immersive Environments, Digital Support for Bridge Inspectors through Mixed Reality BIM Data Visualizations, A Review of Research-to-Practice Drivers and Barriers in Visualization, Information Modeling, and Simulation, Visualization of Cost Funding Sources in Building Information Models, Exploring the Impact of Visual Properties of Natural Objects on Attention in Both Real and Virtual Office Environment: A Pilot Study, Using Immersive Storytelling to Attract Students to the Construction Field, Development of a VR-Based Drone-Mediated Building Inspection Training Environment, Human-in-the-Loop Robot-Augmented Intelligent System for Emergency Reconnaissance, Feasibility of Virtual Avatar Simulator for Human-Robot Collaboration Training in Construction, Identifying Substantial Changes for AIP Projects Using RF and SVM, Using Machine Learning to Identify the Most Critical Factors Affecting Maintenance of Tunnels, An Overview of Root Cause Analysis of Faults in Heating, Ventilation, and Air Conditioning (HVAC) Systems, Structuring Visual Data in a Common Data Environment to Support Facilities Operations and Maintenance, Evaluating Operators Real-Time Mental Workload with Eye Movement Analysis in Nuclear Power Plants Operations, Assessment of Holographic Environment for Learning Sensing Technologies in CEM Education, Infrastructure Resilience Publications (IRP), 19962022, American Society of Civil Engineers.
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asce international conference on computing in civil engineering 2022