Abstract:
India, a country rich in ancient literature and cultural traditions, the relationship between humans and crows has been a subject of fascination and study. Throughout generations, stories passed down by grandmothers have highlighted the significance of crows in Indian society. Rituals and beliefs often revolve around these intelligent birds, with their presence near households considered auspicious, particularly in the 1970s when their calls were believed to herald the arrival of loved ones.
Despite the longstanding cultural significance of crow behavior, understanding their minds remains a challenge. However, recent advancements in Computer Science and Cognitive Psychology offer promising avenues for decoding the intricacies of Human-Crow Communication. Techniques such as Block Chain Technology and Machine Learning Algorithms enable researchers to analyze various features of Crow Behavior, including Eye Movement, Facial Expressions, and Vocalizations.
Moreover, integrating sensor technology with radio frequency identification (RFID) allows for Real-Time Monitoring of Crow Signals, mimicking Human-like behaviors. By employing Neural Network Techniques, researchers can gauge Crow Intelligence and predict their actions with high accuracy. Hasse diagrams prove instrumental in visualizing the complex relationships within Crow Communication Patterns.
This paper explores the convergence of traditional beliefs, modern technology, and scientific inquiry in unraveling the mysteries of Human-Cro w interaction. By bridging the gap between folklore and empirical research, it sheds light on the profound cultural and ecological significance of these enigmatic birds.
KEYWORDS: Crow Forecaster, Probability, Human and Crow Conversation, Hasse Diagram, Block Chain, Artificial Intelligence. IKS.
Shobha Lal1*, Shalini Kumari2
1Professor, Department of Computer Application, Buddha Institution of Management, GIDA, Gorakhpur-273209, U.P., India
2RKMS, Yogapatti-845438, Bihar, India