Emotion speech recognition in the cloud has emerged as a transformative technology with the potential to revolutionize various sectors, induding customer service, mental health, and human-computer interaction. This ab...
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Currently most all the information sharing takes place in the form of Text-based input. Diverse information sources, encompassing speech, text, and visual elements, offer opportunities for analyzing emotions. Presentl...
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Among all the current mobile operating systems, Android has the most market share with more than three billion active users. As android is open-source, it possesses many challenges of malicious cyberattacks. Most of t...
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Retinal vessel extraction is pivotal in diagnosing and managing various ophthalmic and systemic diseases. This study introduces a novel approach that combines multi-scale deep learning with advanced morphological tech...
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Any intrusion detection system's efficacy is determined by how quickly it can identify fresh threats and stop subsequent assaults. This requires employing highly efficient machine learning techniques, including cl...
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Agriculture is the key source for many people's livelihoods and an important contributor to a country's economy. There is a huge demand to streamline the process in the field of agriculture by integrating Comp...
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In response to the traditional Dijkstra algorithm, the long search time of pheromone and the occasional redundant inflection points When the final path is obtained can lead to the inefficiency of the algorithm due to ...
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In this paper, a reinforcement learning-based methodology is introduced to detect sensor fault and FTC in a pressure system. The methodology includes reinforcement learning skills to attain optimal performance and the...
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Reentrancy is a type of attack that can occur in smart contracts, enabling untrusted external code execution within the contract. This method exploits a vulnerability that allows an attacker to repeatedly invoke a fun...
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The absence of a consistent ontological framework often impedes efficient knowledge organization and sharing within the agricultural community, despite the quantity of data created in agricultural research. The lack o...
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