object detection based on event vision has been a dynamically growing field in computer vision for the last 16 years. In this work, we create multiple channels from a single event camera and propose an event fusion me...
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This paper presents a novel approach for optimizing sensor placement within a designated area, leveraging a combination of cellular communication systems and feed-forward neural networks to streamline the selection pr...
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The quick advancement in AI has led to the development of refined large language models (LLM). While LLM is a specific type of generative AI focused on generative text generative AI is a broader category encompassing ...
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This study focuses on development of a secure and efficient image cryptosystem optimized for IoT devices. The proposed technique addresses the and resource constraints of IoT devices, it introduces a hybrid encryption...
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Focusing on a field of intelligent computer image recognition, a BP neural network model which is rooted in genetic algorithm (GA) fine-tuning is presented in my study. Aiming at the limitations faced by traditional i...
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Electroencephalography (EEG) has come a long way since its discovery, marking over a hundred years of groundbreaking progress. Hans Berger, the scientist behind this invention, revolutionized the study of brain activi...
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The Inclined Geosynchronous Orbit (IGSO) satellite has garnered significant attention for its extensive coverage and high-latitude capabilities. Traditionally, tracking methods rely on Two Line Element (TLE) data for ...
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To build a smarter and safer city, a secure, efficient, and sustainable transportation system is a key requirement. The autonomous driving system (ADS) plays an important role in the development of smart transportatio...
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Emojiify is a cutting-edge real-time image processing system powered by Convolutional Neural Networks (CNNs) for face emotion recognition. This unique technology fosters human-computer interaction by appropriately rec...
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This research introduces "Jaddah,"an innovative AI-based system for the automated detection of road infrastructure defects using advanced computer vision and machine learning techniques. The system addresses...
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