Essays about: "moving averages"
Showing result 1 - 5 of 18 essays containing the words moving averages.
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1. INVESTIGATING THE COVARIANCE BETWEEN RAINFALL AND MALE ELEPHANT MOVEMENT - To Reduce Human-Elephant Conflict
University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap; Göteborgs universitet / Institutionen för biologi och miljövetenskapAbstract : Human-wildlife conflict threatens the survival of a range of species, including the savannah elephant (Loxodonta africana). Villages bordering the Makgadikgadi Pans National Park in Botswana are among the most affected by human-elephant conflict, and it is crucial to identify contributing factors to develop mitigation strategies. READ MORE
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2. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE
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3. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. READ MORE
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4. Artificial Neural Networks for Financial Time Series Prediction
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE
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5. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE