Nationwide in today's day to life the fundamental root causes of deaths and hospitalization is heart diseases which will put enormous economic burden on health care system and on the Human life. Prediction at earl...
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The need for enhanced accessibility is paramount in today's diverse and inclusive society. Recognizing the varied abilities, preferences, and contexts of users, we present a novel mobile app that leverages OCR and...
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Air pollution is a silent public health crisis demanding smarter solutions. This study discusses one such novelty in the use of machine learning and IoT for the prediction of hyper-local AQI forecasting. For this purp...
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Agriculture is backbone of many economies but still farmers often face many challenges in accessing financial services or available resources for them, making informed crop choices and participating in government init...
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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. Howeve...
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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. However, the traditional ISAC schemes are highly dependent on the accurate mathematical model and suffer from the challenges of high complexity and poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as a viable technique to address these issues due to its powerful learning capabilities, satisfactory generalization capability, fast inference speed, and high adaptability for dynamic environments, facilitating a system design shift from model-driven to data-driven. Intelligent ISAC, which integrates AI into ISAC, has been a hot topic that has attracted many researchers to investigate. In this paper, we provide a comprehensive overview of intelligent ISAC, including its motivation, typical applications, recent trends, and challenges. In particular, we first introduce the basic principle of ISAC, followed by its key techniques. Then, an overview of AI and a comparison between model-based and AI-based methods for ISAC are provided. Furthermore, the typical applications of AI in ISAC and the recent trends for AI-enabled ISAC are reviewed. Finally, the future research issues and challenges of intelligent ISAC are discussed.
In today’s era, smartphones are used in daily lives because they are ubiquitous and can be customized by installing third-party apps. As a result, the menaces because of these apps, which are potentially risky for u...
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Medicinal plants have been highly significant to the medical field in curing diseases, healing wounds, and treating the ill since ancient times. The production and supply of these medicinal plants, however, pose authe...
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In today's era of digitalization, streamlining traffic management and ensuring public safety are paramount. Traditional methods of driver license verification often face challenges in terms of efficiency, accuracy...
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Over the past few years, research interest in the sub-domain of question answering has tremendously increased. Yet, most of the work on QA and more generally, on natural language processing has been predominantly limi...
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AI and ML technologies have increasingly dominated sports analytics, allowing new real-time data processing capabilities. This paper proposes a new Real-Time Football analysis system using YOLOv5 and OpenCV to respond...
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