AN IMPROVED MACHINE LEARNING-DRIVEN FRAMEWORK FOR CRYPTOCURRENCIES PRICE PREDICTION WITH SENTIMENTAL CAUTIONING

An Improved Machine Learning-Driven Framework for Cryptocurrencies Price Prediction With Sentimental Cautioning

Cryptocurrencies, recognized by their extreme volatility due to dependency on multiple direct and indirect factors, offer BAKING SODA POWDER a significant challenge regarding precise price forecasting.This uncertainty has led to investment hesitation within the digital currency market.Previous research attempts have presented methodologies for pric

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Application of Landscape Ecology to Develop a Conceptual Model for Planning Urban Rivers (Case Study: Darakeh River)

The excessive use of the ecological capacity of the seven rivers of Tehran, as the most important natural components of the city, has undermined their status in city calculations.This has caused different challenges of various dimensions, such as reduced social interactions, increased insecurity, environmental pollution, etc., which indicate the in

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