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Found 17 papers, 2 papers with code
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
The exploration provides insights into AI's role in hackathons, and its educational implications, and offers a roadmap for the integration of such technologies in future events, ensuring innovation is balanced with ethical and educational considerations.
Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
This research study delves into the conceptualization, development, and deployment of an innovative learning analytics tool, leveraging the capabilities of OpenAI's GPT-4 model.
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
The paper presents the methodology, system architecture, intelligent services, and integration with Learning Management Systems (LMSs) while discussing the challenges, limitations, and future directions for the development of AI-enabled intelligent assistants in education.
Performance of ChatGPT on the US Fundamentals of Engineering Exam: Comprehensive Assessment of Proficiency and Potential Implications for Professional Environmental Engineering Practice
This study investigates the feasibility and effectiveness of using ChatGPT, a GPT-4 based model, in achieving satisfactory performance on the Fundamentals of Engineering (FE) Environmental Exam.
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall
Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions.
Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Education
Miscommunication and communication challenges between instructors and students represents one of the primary barriers to post-secondary learning.
High-resolution rainfall-runoff modeling using graph neural network
Several studies investigated the use of GNN (Graph Neural Networks) for data integration by decomposing a large watershed into multiple sub-watersheds, but each sub-watershed is still treated as a whole, and the geoinformation contained within the watershed is not fully utilized.
DEM Super-Resolution with EfficientNetV2
Efficient climate change monitoring and modeling rely on high-quality geospatial and environmental datasets.
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs
The temporal and spatial resolution of rainfall data is crucial for environmental modeling studies in which its variability in space and time is considered as a primary factor.
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks
The frequency and impact of floods are expected to increase due to climate change.
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
Effective environmental planning and management to address climate change could be achieved through extensive environmental modeling with machine learning and conventional physical models.
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study
COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources.
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
The study provides a comprehensive review of state-of-the-art deep learning approaches used in the water industry for generation, prediction, enhancement, and classification tasks, and serves as a guide for how to utilize available deep learning methods for future water resources challenges.
D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks
LIDAR (light detection and ranging) is an optical remote-sensing technique that measures the distance between sensor and object, and the reflected energy from the object.
Realistic River Image Synthesis using Deep Generative Adversarial Networks
In this paper, we demonstrated a practical application of realistic river image generation using deep learning.
A Generalized Web Component for Domain-Independent Smart Assistants
This article introduces an open-source web component, Instant Expert, which allows robust and efficient integration of a natural language question answering system to web-based platforms in any domain.
Human-Computer Interaction
Decentralized Flood Forecasting Using Deep Neural Networks
Predicting flood for any location at times of extreme storms is a longstanding problem that has utmost importance in emergency management.
