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Analyzing the Effect of Driving Speed on the Performance of Roundabouts
(Zarka Private University, 2022)
Roundabouts are introduced at intersections to improve traffic flow and enhance safety. Nevertheless, studies and field observations demonstrated that roundabouts, due to their special design, could significantly affect ...
Automatic Anomaly Monitoring in Public Surveillance Areas
(Tech Science Press, 2022)
With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/sus-picious activity classification also increases. Although it has ...
A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory
(Wiley-Hindawi, 2023)
In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air quality. Accurate and efficient ozone prediction is of great significance to the prevention and control of ozone pollution. The air ...
A Compact Rat-Race Coupler with Harmonic Suppression for GSM Applications: Design and Implementation Using Artificial Neural Network
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
In this paper, a compact microstrip rat-race coupler at a 950 MHz operating frequency is designed, simulated, and fabricated. New branches are proposed in this design using high-/low- impedance open-ended resonators. In ...
Attention-based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-centric Approach for Aspect-based Sentiment Classification
(Institute of Electrical and Electronics Engineers Inc., 2023)
Sentiment analysis is an active research domain of the current era, thanks to its vast applications. In the meantime, its main objective is to classify the polarity of the context as positive, negative, or neutral. Thus, ...
Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position
(Tech Science Press, 2023)
Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ...
CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays
(Springer, 2024)
In recent years, the COVID-19 outbreak has affected humanity across the globe. The frequent symptoms of COVID-19 are identical to the normal flu, such as fever and cough. COVID-19 disseminates rapidly, and it has become a ...