This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and (LSTM) models. Flight are major issue in the airline industry, causing inconvenience to passengers financial losses airlines. The BiLSTM LSTM models, powerful deep learning techniques, have shown promising results task. In this study, we collected dataset from United States (U...

The explosive growth of Internet leads to increased diversity of applications. Multimedia applications, which are delay sensitive and include telephony, videoconferencing etc. can benefit from this approach to satisfy their QoS routing requirement. Existing route discovery involves estimation of delay at every mobile node which involves calculation of queueing delay as well as contention delay....

Industry control processes presents many challenging problems, including non-linear or variable linear dynamic behaviour, variable time delay that means time varying parameters. One of the alternatives to handle with time delay systems is to use prediction technique to compensate the negative influence of the time delay. Smith predictor control (SPC) is one of the simplest and most often used s...

Abstract: The paper considers the design of networked control systems with random network transmission delay and addresses their closed-loop stability. A novel control strategy is proposed to deal with the random network delay, which is termed as networked predictive control. The key parts of the networked predictive control are the control prediction generator that provides a set of future con...

In this paper we aim to show how probabilistic prediction of a continuous variable could be more beneficial to a medical practitioner than classification or numeric/point prediction of the same variable in many scenarios. We introduce a probability density forecasting model that produces accurate estimates and achieves statistically consistent predicted distributions. An empirical evaluation of...

Predicting flight delays is crucial for the aviation industry to improve operational efficiency and enhance passenger experience. Machine learning techniques have emerged as powerful tools forecasting by leveraging historical data various features. This review provides an overview of prediction delay in flights using machine techniques. The highlights importance quality achieving accurate predi...

This paper presents two new high-speed lowpower 1-bit full-adder cells using an alternative logic structure, and the logic styles DPL and SR-CPL. The adders were designed using electrical parameters of a 0.35μm Complementary Metal-Oxide-Semiconductor (CMOS) process, and were compared with various adders published previously, with regards of power-delay product. To validate the performance simul...

This paper evaluates a circuit-switched multi-hop WDM network with wavelength conversion by a semi-Markov based approach. The proposed technique provides accurate performance prediction while also preserving model flexibility. Whether the wavelength conversion is beneficial or not depends on many factors. The main concerns considered in this paper are the number of wavelengths, packet generatio...