[ad_1] Introduction In recent years, the advancement of computer vision technology has led to significant progress in the field of autonomous navigation. Autonomous navigation refers to the ability of a system or device to navigate…
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[ad_1] Introduction In recent years, there has been a growing interest in neuromorphic computing for natural language processing (NLP). Neuromorphic computing is a cutting-edge technology that aims to mimic the functioning of the human brain…
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[ad_1] Introduction In recent years, the world has witnessed an increase in the frequency and severity of natural disasters such as hurricanes, earthquakes, and wildfires. These disasters have devastating effects on human lives, infrastructure, and…
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[ad_1] Introduction Proteins play a crucial role in various biological processes, as they are responsible for carrying out essential functions within living organisms. The three-dimensional structure of a protein, known as its fold, plays a…
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[ad_1] Introduction Natural Language Processing (NLP) has gained significant attention in recent years due to its potential applications in various fields, including customer feedback analysis. With the increasing popularity of online reviews and social media…
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[ad_1] Introduction Automated software vulnerability detection is a crucial aspect of ensuring the security and reliability of software systems. With the increasing complexity and interconnectedness of modern software applications, the number of potential vulnerabilities that…
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[ad_1] Introduction Quantum sensing technologies have emerged as a promising field that utilizes the principles of quantum mechanics to enhance the detection and measurement of physical quantities with unprecedented precision and sensitivity. These technologies have…
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[ad_1] Introduction Blockchain technology has gained significant attention in recent years for its potential to revolutionize various industries. One of the key areas where blockchain technology is being explored is in the energy sector, specifically…
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[ad_1] Introduction: Secure edge computing architectures have gained significant attention in recent years as more organizations are embracing the use of edge computing to process data closer to the source. This allows for faster data…
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[ad_1] Introduction Privacy-preserving federated learning has emerged as a promising technique for collaborative machine learning without compromising the privacy of individual data providers. With advancements in technology, traditional machine learning approaches face challenges in handling…
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