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Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce

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Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learningcks of the world food chain. Future food security will be dependent on increased output or production with higher yields. Hence a desideratum arises to incorporate approaches to identify factors affecting wheat yield. There has not been much effort done on the identification of factors in earlier st
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Comparative Analysis of Short-Term Load Forecasting Using Machine Learning Techniquesppliers and other players in the markets for electric energy generation, transmission, and distribution, load forecasting is a crucial instrument. Additionally, the prediction of load is essential for effectively planning and overseeing power system operations. Load forecasting has significant effec
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Deep Transfer Learning for Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approaus health benefits, due to which its growth and disease diagnosis becomes an important part. Out of the various techniques widely used one of the techniques for detection and classification of diseases includes Deep Learning models. This paper intends to make use of deep learning techniques such as
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