Papers
1
Total Citations
5
H-Index
1
About
Mohd Aijaj Khan is a researcher at the forefront of artificial intelligence and human-computer interaction, with a particular focus on the transformative role of Intelligent Virtual Assistants (IVAs). His most-cited work, "Correlative Analysis and Impact of Intelligent Virtual Assistants on Machine Learning" (2019), has garnered 5 citations and provides a foundational examination of how voice-activated AI systems—integral to modern smartphones—are reshaping daily life. Khan’s research explores the synergy between machine learning algorithms and IVAs, analyzing how verbal commands for tasks like calling, messaging, or checking weather and traffic are enabled by advanced AI. His contributions highlight the practical implications of AI in enhancing user convenience and accessibility, bridging the gap between theoretical machine learning models and real-world applications. Through this work, Khan underscores the growing importance of natural language processing and predictive analytics in creating seamless, intuitive interfaces. His findings offer valuable insights for students and researchers interested in the evolution of smart assistants, positioning him as a key voice in understanding how AI-driven tools are revolutionizing everyday interactions and setting the stage for future innovations in human-machine collaboration.
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Top Papers
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