Titlebook: Innovative Computing and Communications; Proceedings of ICICC Aboul Ella Hassanien,Sameer Anand,Prabhat Kumar Conference proceedings 2024 T

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Enhancing Solutions by Implementing Nash Equilibrium Strategies Using Python,ategic interactions between many decision-makers. These works aim to improve traditional optimization techniques by applying NE principles, reaching better results in situations with complexly related variables. Game theory, especially Nash equilibrium, has become increasingly popular across diverse

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BADGE

,Web-Based Application for?Medicinal Plant Identification Using Transfer Learning Approach,pproach using image processing, machine learning and a flask-based web solution allowing users to upload and analyze their own photos seamlessly. To conduct this study, a dataset from Kaggle featuring 40 medicinal plant classes is leveraged. Convolutional Neural Networks (CNNs) and transfer learning

Fierce

運(yùn)動(dòng)的我

Corpus-Based Machine Translation for English to Low-Resource Language Using OpenNMT,low-resource languages. Lack of parallel data in the majority of South-Asian languages prevents Machine Translation training. Computational linguistics plays a pivotal role in the storage of meaning and representation for specific object languages, and translation is a central component of language

美學(xué)

繁殖

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Schlemms-Canal

貴族

Exploring TCP Congestion Control: A Comprehensive Analysis of Cubic, RENO, and VENO Algorithms Usinl-known algorithms: Cubic, RENO, and VENO were used in this study to analyze TCP congestion in detail with a specific focus on validating the superiority of the Cubic Algorithm. This work introduces a novel hybrid methodology combining machine learning techniques and human intervention. Congestion p