Abstract: The system comprises an input device for collecting sound and sound information or extracting sound information from a music sample; a pre-processor for pre-processing the informational collection to generate an input information test set for a characterization model, wherein the pre-processor utilizes fine-grained division and different techniques to preprocess the example informational collection; a central processor for combining sound feeling data and further developing arrangement speed, such that review makes fine-grained division for genuine music informational collection and results the inclination results by casting a ballot direction, which is configured to promote precision of music feeling grouping; a vocal division device for dividing vocal of the complicated structure of genuine music sound, and voice and foundation sound are incorporated together; and a reviewing device for reviewing the vocal detachment of music and reviewing the grouping impact of vocal and foundation sound individually, whic

Abstract: The present disclosure generally relates to a system for crime risk forecasting using cyber security and deep learning comprises a data input unit for receiving a pre-stored crime event dataset and real time crime event data input along with geographical details of an area; a classification processing unit for categorizing pre-stored crime event dataset and real time crime event data input according to crime type; a graphical user interface for entering a target geographic area for forecasting upcoming crime risk; a central processing unit for generating a crime risk forecast based on the historical crime incident stored in the pre-stored crime event dataset using a deep leaning technique; and a control unit coupled to a display for displaying a crime risk ranking generated based on the crime risk forecast and one or more crime risk event for the target geographic area.

Abstract: The present disclosure generally relates to a method for COVID-19 detection for spread prevention and medical assistance using machine learning comprises pre-processing a CT image set for removing noise using HU values; performing a region-based segmentation using a three-dimensional convolutional neural network model; classifying each segmented region by employing a classification model; and comparing classified segmented region with a dataset for detecting COVID-19 using a machine learning approach thereby generating an alert about the COVID-19 positive person.

Abstract: Our Invention “Automatic Fuel Energy Generated Car” is a concept used to generate adequate electrical power to charge a plurality of storage batteries driving a perpetual, fuel-free electric vehicle or alike. The batteries supply adequate power to at least one electric motor to propel the vehicle and supply electricity to all other vehicle instruments such as lights, wipers, defogger, etc. The invented technology also includes the two alternatives, and green energy sources are used to continuously charge the batteries: solar energy generated from solar panels covering every and all possible area of the vehicle's exterior surface and wind energy generated by one or more electric generators driven by one or more wind turbines mounted within the vehicle and placed under its exterior surface.