Long term predictions for traffic forecasting: How does the accuracy degrade with time?

Comparative Analysis of LSTM, ARIMA, and Facebook’s Prophet for Traffic Forecasting: Advancements, Challenges, and Limitations

Assessing Methods for Handling Missing Data Using an LSTM Deep Learning Model in Traffic Forecasting

Effects of weather data on traffic flow predictions using an LSTM deep learning model

Deep learning approaches to short term traffic forecasting: Capturing the spatial temporal relation in historic traffic data

Control of Thermal Management Systems for Electric Vehicles: Energy Efficiency Optimization for the Lightyear 0

Scaling Up, Staying Secure: Assessing the Cyber Risks of Distributed Energy Resources in the Smart Grid

Fine-grained Scheduling of Real-Time Recurrent DAG Tasks upon Multiprocessor Platforms

Securing BGP Communities: Design of a new RPKI object to mitigate BGP Community Attacks

RPL-based Passive OS Fingerprinting in Low-power and Lossy Wireless Sensor Networks

Time is Money: A similar repository recommender system that saves development time using tag hierarchies

Improving GitHub Tag Recommender Systems Using Tag Hierarchies

Detecting Duplicate Stack Overflow Questions Exploiting the Textual Information, and a Semantic-based Tag Hierarchy

Assessment of Key 5G RAN Features for Integrated Services Provisioning in a Smart City Environment

Economic Greenhouse Decision Support: Embedding a Long Short-Term Memory Network in a Constraint Programming Decision Support System

LAB: Learnable Activation Binarizer for Binary Neural Networks

Search Engine Entity Cards

Examining Cross Browser Inconsistencies with Web Based Event Loggers

Vertical Selection for Heterogeneous Search Engine Result Pages

Expanding LogUI: Adding Screen Capturing and a Statistical Analysis Dashboard for Web-Based Experiments