In a world where Neural networks and Deep learning have become of major importance, the need for methods to reduce their memory storage and usage has become of major importance. Hence the need for quantization and pru...
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This project presents the design of an automated access control system that aims to enhance security through the use of an ultrasonic motion sensor and a live heartbeat check. This system makes use of an ultrasonic se...
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This project proposes an IoT-based environmental evaluation system taking into consideration its surroundings through a microcontroller ESP8266 and sensor DHT11. The system reads the current temperature and humidity i...
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First and foremost, we present a novel scheme for controlling the cursor based on eye movement. Other strategies rely on physical items like touchpads or a mouse and place strict requirements on people with motor hand...
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Federated Learning is gaining significant traction in recent times, due to its ability to protect privacy while giving comparable results across various use cases. However, it often falls short in delivering good resu...
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Urban traffic congestion is still a major problem that causes delays, collisions, and wasteful use of resources. Conventional fixed-schedule systems, which frequently exacerbate problems at junctions, U-turns, and ped...
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Depression is a common mental disorder that affects millions of people in the world, and thus correct identification cannot be overemphasized. Focusing on two approaches - Streamlit and Ngrok vs Botpress - this work a...
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In the rapidly evolving landscape of Software Defined Networks (SDNs), network security is of paramount importance. This research paper presents a comprehensive study on anomaly detection and traffic analysis in SDNs ...
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Code-mixing is a common phenomenon in multilingual communities, where speakers use more than one language within a single conversation. A transliteration framework is necessary to accommodate individuals who feel more...
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Compiler bugs critically impact the correctness of software applications, making their detection and resolution vital for improving software quality. This paper proposes a novel approach leveraging sequential deep lea...
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