limited-capacity environment for a swarm of drones. Our primary objective is to minimize task completion time while ensuring that individual node capacity constraints are never breached. Our algorithm leverages both p...
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This innovative study proposes a novel tool targeted at addressing communication issues for people with hearing impairments. This improvement focuses on smart glasses with real-time captioning for improved *** main co...
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Managing technical debt is critical for software quality and maintainability. Self-Admitted Technical Debt (SATD) is a type of debt explicitly reported by developers in various software artifacts. This study proposes ...
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Autonomous vehicles (AVs) are susceptible to cyberattacks due to their reliance on vehicle-to-everything (V2X) communication. This research proposes a Gradient Boosting-based intrusion detection system to safeguard AV...
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Effective data migration is essential for businesses to handle massive datasets between cloud databases in the digital age. In order to address the challenges of data migration, this paper presents a thorough and nove...
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Since the last few years, open-source hardware is preferred in the landscape of hardware development. Originally proprietary hardware was only developed by big multinational companies like AMD, Intel, and NVIDIA, whic...
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With recent viruses across the world affecting millions and millions of people, the self-healthcare information systems show an important role in helping individuals to understand the risks, self-assessment, and self-...
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In today's fast-paced world, individuals often find themselves craving a culinary adventure but struggle to decide on the perfect restaurant to satisfy their desires. Traditional restaurant search platforms typica...
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The use of chatbots has become increasingly popular in recent years, as more organisations try to improve and streamline their customer service operations. One area which has been gaining momentum is the use of chatbo...
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Deep learning-based signature verification uses sophisticated neural network topologies to verify signatures. Deep learning models may be trained to discriminate between authentic and falsified signatures with a high ...
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