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4 Results Found

  • Article
  • Open Access
1 Citations
1,630 Views
27 Pages

10 December 2025

One difficulty that arises in tracking and forecasting real-time epidemics is reporting delays, which are defined as the inherent delay between the time of symptom onset and the time a case is reported. Reporting delays can be caused by delays in cas...

(This article belongs to the Special Issue Multiscale Modeling and Forecasting of COVID-19 and Respiratory Virus Dynamics)
  • Article
  • Open Access
664 Views
29 Pages

25 May 2026

Real-time binaural beat synthesis in dynamic acoustic environments is challenged by carrier non-stationarity, interaural phase discontinuities, and processing delay in conventional digital signal processing pipelines. This study proposes a predictive...

(This article belongs to the Section Intelligent Sensors)
  • Article
  • Open Access
581 Views
27 Pages

LLM and Deep Learning in the Loop of Disturbed Traffic Control

  • Abdullah Albanyan,
  • Ali Louati and
  • Hassen Louati

5 July 2026

Traffic signal control increasingly faces disturbed operating conditions such as incidents, abrupt demand surges, sensing degradation, and abnormal driving patterns. Under these nonstationary regimes, classical fixed-time and actuated strategies may...

(This article belongs to the Special Issue Advances and Applications of Artificial Intelligence in Transport Engineering and Planning)
  • Article
  • Open Access
592 Views
27 Pages

An Enhanced KNN–ConvLSTM Framework for Short-Term Bus Travel Time Prediction on Signalized Urban Arterials

  • Jili Zhang,
  • Wei Quan,
  • Chunjiang Liu,
  • Yuchen Yan and ,
  • Baicheng Jiang and
  • Hua Wang
  • + 1 author+ 0 author

22 April 2026

Reliable short-term prediction of bus travel time on signalized urban arterials is essential for improving service reliability and may provide a useful forecasting basis for prediction-informed transit signal priority (TSP) and arterial coordination...

(This article belongs to the Special Issue Smart Transportation Systems and Logistics Technology)