Over the past few years, the usage of assistive technology by the visually impaired (VI) has significantly increased worldwide. these devices assist the VI in carrying out daily tasks efficiently, boosts their indepen...
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Deep learning has gained significant popularity in recent years, particularly for tasks like image and speech recognition, natural language processing, and other intricate pattern recognition challenges. However, trai...
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Intrusion Detection Systems (IDS) are essential for safeguarding IoT networks against various attacks. Our previously developed ensemble-based IDS model, which combines stacked Long Short-Term Memory (LSTM) networks w...
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Withthe major goals of enhancing picture quality, correcting aberrations, and optimizing light-matter interactions, the suggested technique makes use of neural network methodologies to improve mid- and near-field opt...
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this paper presents an approach for bearing fault diagnosis that leverages sensitive feature selection to tackle the challenge of high intra-class distances and low inter-class distances in data pre-processing of conv...
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the Smartphone VANET (Vehicle Ad-Hoc NETwork) is a novel concept for VANET using smartphones as On Board Units. VANET technology has great potential to reduce injuries and fatalities on our roadways. the smartphone pr...
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In early 2020, the outbreak of COVID-19 rapidly escalated into a global pandemic, challenging healthcare systems worldwide and prompting countries to implement various measures to contain the spread. these measures, w...
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In the field of computer vision and intelligent recognition, withthe increasing complexity and dynamics of classroom scenes, how to use artificial intelligence technology to improve the accuracy and efficiency of ima...
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this study introduces a novel recommendation system aimed at enhancing university career counseling by adapting it to more accurately align with students' interests and career trajectories. Recognizing the challen...
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Graph neural network (GNN) models are capable of capturing the intrinsic structure and semantic relationships within data and this mechanism grants them substantial potential advantages in the field of computer vision...
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