Intrusion detection systems, which inspect and analyze network data for signs of hostile activity, are critical to computer network security. These systems are suggested to distinguish and respond to not permitted acc...
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Recommender systems (RS) have been widely applied in various real-time applications to support identifying valuable information. The RS tries to give actual suggestions to every user based on their behavior as well as...
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computer-Aided Detection (CAD) systems for brain MRI analysis utilize various AI techniques to assist radiologists in interpreting images and identifying abnormalities. These systems require training on extensive data...
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After the domestic new crown pneumonia (COVID-19) epidemic has stabilized, the imported people and goods carrying the virus may lead to a slight rebound in the domestic epidemic. Using this model, the second epidemic ...
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Malignancy in the breast is a significant public health concern, where timely identification is essential for effective treatment. Machine Learning (ML) and Deep Learning (DL) algorithms are potential tools for prompt...
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Traditional security camera systems (CCTV cameras) only record video without automatic analysis, necessitating continuous human monitoring. This approach is inefficient and prone to human error. This research aims to ...
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Networks of specialized, geographically scattered wireless sensors that track and record environmental physical conditions and transmit the gathered information to a central point are known as wireless sensor networks...
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The advent of 5G technology is profoundly transforming communication and connectivity. This research explores its multifaceted impact.5G, the fifth-generation mobile network, offers higher data speeds and lower latenc...
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Autism Spectrum Disorders (ASD) require new interventions because social communication can be specially challenging. Such interventions could help social skills grow. Collaborative virtual reality (VR) technology enab...
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Neural networks with relatively shallow layers and simple structures may have limited ability in accurately identifying pneumonia. In addition, deep neural networks also have a large demand for computing resources, wh...
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