A research investigates how assistants function as chatbots. These tech gadgets represent a rare and fortunate connection between people and technology. Speechenabled Chatbots or AI-driven systems revolutionize the in...
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Modern advances in Artificial Intelligence (AI) and Machine Learning (ML) have transformed many businesses and elements of everyday life. Machine learning and deep learning support disease diagnosis, drug development,...
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This paper introduces a secure authentication framework by applying Mutual Authentication Coupled with Optimised AES (Advanced Encryption Standard) Encryption to improve the security of the multi-server environment. B...
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The integration of solar energy into the modern power grid faces challenges due to its inherent variability. Accurate solar forecasting plays a vital role in mitigating these challenges and enabling the smooth integra...
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Event Hive is a project management[1] application designed and built for events large and small, such as school events, and in the future we will work on projects such as festivals, meeting speeches, ceremonies, compe...
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In the field of object detection for remote sensing images, especially in applications such as environmental monitoring and urban planning, significant progress has been made. This paper addresses the common challenge...
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The inside-outside algorithm is widely utilized in statistical models related to context-free grammars. It plays a key role in the EM estimation of probabilistic context-free grammars. In this work, we introduce an in...
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The quick advancement in AI has led to the development of refined large language models (LLM). While LLM is a specific type of generative AI focused on generative text generative AI is a broader category encompassing ...
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Speech Emotion Recognition (SER) is a critical area of research in Human-computer Interaction (HCI), aiming to develop systems capable of identifying and responding to human emotions conveyed through speech. This pape...
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The Golden Ratio (Phi ) has intrigued researchers for centuries due to its widespread presence in both nature and science. This article systematically examines Phi 's diverse applications in computing, focusing on...
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The Golden Ratio (Phi ) has intrigued researchers for centuries due to its widespread presence in both nature and science. This article systematically examines Phi 's diverse applications in computing, focusing on its role in enhancing visual appeal, optimizing algorithms, system design, and influencing fields such as biometrics, machine intelligence, and engineering. Through a systematic review of recent studies, this work aims to identify how Phi can improve computational efficiency across various computing domains. The methodology involves a comprehensive analysis of cutting-edge research sourced from 12 reputable digital platforms to explore Phi 's potential. This study highlights the versatility of Golden Ratio, as its applications and relationships were found to account for 51% and 49%, respectively, across a total of 51 selected studies from 27 countries spanning six continents. The review also categorizes findings by their specific applications and contexts, providing valuable insights into Phi 's impact on mathematics, cryptography, search algorithms, machine learning, artificial intelligence, photonics, natural sciences, system design, power engineering, robotics, and practical human life. This study opens promising avenues for future research on the applications of Phi in diverse fields of science, engineering, and computing.
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