A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…Traffic crash prediction (TCP) is a fundamental problem for intelligent transportation systems in smart cities. Improving the accuracy of traffic crash prediction is important for road safety and effective traffic management. …”
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UX Evaluation with Standardized Questionnaires in Ubiquitous Computing and Ambient Intelligence: A Systematic Literature Review by Ignacio Díaz-Oreiro, Gustavo López, Luis Quesada, Luis A. Guerrero

“…However, AttrakDiff remains the predominant questionnaire for studies in smart cities and homes and in-vehicle information systems (RQ4). …”
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Development of a comprehensive model to predict stock prices in the stock market with an interpretive structural modeling approach by Shiva Rezaeyan, Mohammad Taleghani, Azita Sherej Sharifi

“…Among the criteria occupying lower positions in the hierarchy, the exchange rate and the power indicator relative and exponential moving averages were identified as the most influential indicators.Keywords: Stock Market, Prediction Model, Fuzzy-Delphi Approach, Interpretive Structural Modeling (ISM) IntroductionStock markets play a crucial role in promoting economic growth by efficiently allocating resources and generating liquidity, particularly in urbanized smart cities. Stock market analysis encompasses both technical and fundamental approaches. …”
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