Titlebook: Advances on Intelligent Informatics and Computing; Health Informatics, Faisal Saeed,Fathey Mohammed,Fuad Ghaleb Conference proceedings 202

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Contemporary Trends in Systems Developmentstem with the fewest sensors in locations thoughtful enough to distinguish six activities using a Long Short-Term Memory (LSTM) approach to give high performance. We used two wearable Inertial Measurement Units (IMU) sensors with a gyroscope, accelerometer, and magnetometer fixed in the waist and th

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,“To Make Mosques a Place for Women”, stream of data is a challenging task for researchers as a result of changes in data distribution, a phenomenon widely known as concept drift. Most of the existing classification methods incorporated drift detection methods that depend on the classification errors. However, these methods are prone t

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,“To Make Mosques a Place for Women”,, dengue forecasting, tourism forecasting, and others. The Artificial Neural Network (ANN) is a popular Artificial Intelligence (AI) model extensively employed in much research for time series forecasting due to its nonlinear modeling ability. The group method of data handling (GMDH) is an AI model

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Lyn Di Iorio Sandín,Richard Perezing patterns a challenging task. This direction has the aim to make the utilization of an individual algorithm for string searching nearly ineffectual as the number of tries and the number of observations continues to increase. So, the solution is in the grouping of more than one algorithm to create

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Lyn Iorio Sandín (author),Richard Perezproportions so string matching algorithm is an essential scientific tool to assist in solving composite string search problems. At present, the shift of focus is geared towards hybrid algorithms as they provide better performance in various evaluation metrics. Thus, researchers and experts view a hy