Titlebook: Machine Learning and Computational Intelligence Techniques for Data Engineering; Proceedings of the 4 Pradeep Singh,Deepak Singh,Sanjay Mis

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Identifying the Impact of Crime in Indian Jail Prison Strength with Statical Measures,rtificial intelligence, and deep learning, not all learning algorithms are proven useful. The issue of sectarian violence has returned to India‘s national conversation. Since 2000, many acts of violence and FIRs have been documented on conventional and social media. While no official numbers are ava

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Visual Question Answering Using Convolutional and Recurrent Neural Networks,t images in the dataset. The model proposed in this methodology constitutes two major components and then integration of analysis results and features from these components to form a combination in order to predict the answers. We have created a pipeline that first preprocesses the dataset and then

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Predicting Bangladesh Life Expectancy Using Multiple Depend Features and Regression Models,d GDP, rural population growth, urban population growth, services value, industry value, food production, permanent cropland, cereal production, agriculture, forestry, and fisheries value as predictors of life expectancy. We also examined different links that may influence life expectancies, such as

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A Data-Driven Approach to Forecasting Bangladesh Next-Generation Economy, Bangladesh lags far behind the world’s wealthiest nations. In the developed world, especially in terms of economics, a country’s Gross Domestic Product (GDP) is the monetary value of all completed labor and products produced within its borders during a period. It is concerned with the overall measu

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Audio Scene Classification Based on Topic Modelling and Audio Events Using LDA and LSA,uments. In recent times, numerous approaches have been implemented to audio scene recognition (ASR) using topic modelling. Mostly, document word in the cooccurrence matrix is utilized to analyze a topic. Comparatively, word_event distribution is more intuitive than document word cooccurrence. In thi

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