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公开(公告)号:US20230088328A1
公开(公告)日:2023-03-23
申请号:US18058716
申请日:2022-11-23
申请人: Abdulwasa Bakr Barnawi , Neeraj Kumar Shukla , Vineet Tirth , Javed Khan Bhutto , M. Ramkumar Raja , Rajesh Verma , Samidha Dwivedi Sharma , Vivek Kumar , Pawan Kumar Singh , B.K. Sarkar
发明人: Abdulwasa Bakr Barnawi , Neeraj Kumar Shukla , Vineet Tirth , Javed Khan Bhutto , M. Ramkumar Raja , Rajesh Verma , Samidha Dwivedi Sharma , Vivek Kumar , Pawan Kumar Singh , B.K. Sarkar
摘要: 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.
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公开(公告)号:US20220108803A1
公开(公告)日:2022-04-07
申请号:US17551376
申请日:2021-12-15
申请人: Gaurav Indra , Romany F. Mansour , B.K. Sarkar , Maha M. Althobaiti , Sadhana Dubey , Amit Kumar Tyagi , Vineet Tirth , Neeraj Kumar Shukla , Munawira Kotyad , LATA MENON
发明人: Gaurav Indra , Romany F. Mansour , B.K. Sarkar , Maha M. Althobaiti , Sadhana Dubey , Amit Kumar Tyagi , Vineet Tirth , Neeraj Kumar Shukla , Munawira Kotyad , LATA MENON
IPC分类号: G16H50/20 , G06T5/00 , G06T7/11 , G06T7/00 , G06V40/16 , G06T7/187 , A61B6/00 , A61B5/01 , A61B5/00 , G16H30/20
摘要: 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.
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公开(公告)号:US20210143724A1
公开(公告)日:2021-05-13
申请号:US17146631
申请日:2021-01-12
申请人: ARPIT JAIN , Vineet Tirth , Ali Algahtani , Shakti Kundu , S.B. Chordiya , Yogesh Mohanrao Nigade , Abhijit Prakash Bhujbal , Dhanke Jyoti Atul , Beg Raj , B.K. Sarkar
发明人: ARPIT JAIN , Vineet Tirth , Ali Algahtani , Shakti Kundu , S.B. Chordiya , Yogesh Mohanrao Nigade , Abhijit Prakash Bhujbal , Dhanke Jyoti Atul , Beg Raj , B.K. Sarkar
摘要: 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. The invented technology is a front, top and side wind streams surrounding the vehicle, are channeled through air passages and each air passage is designed as a funnel-like air duct where the end of the air duct with the smaller cross-sectional area is directed into the entry of the wind turbine system to accelerate the streamlined winds. The energy of the aggregated and accelerated winds harnessed by one or more wind turbine systems placed in the wind streams' path. Each wind turbine system has an electric generator to convert the rotational energy of turbine's shaft into electric energy. The invented technology takes the output of each wind turbine generator to a controller unit where electric voltage is regulated and converted, if necessary, to charge the plurality of storage batteries. The output of the solar panels are also applied to the controller unit to be regulated and converted if necessary to charge storage batteries' plurality. The controller unit continuously charges the batteries of the electric vehicle, whether the vehicle is stopped or running. The controller unit is also connected to an external, stand-by power supply unit used only to charge the batteries under unexpected circumstances such as system failure.
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公开(公告)号:US20230153350A1
公开(公告)日:2023-05-18
申请号:US18157419
申请日:2023-01-20
申请人: Nima Jafari Navimipour , Seyed-Sajad Ahmadpour , Bandan Kumar Bhoi , Mohan Chandra Pradhan , Ratiranjan Senapati , L.K. Abhilashi , Parinidhi Singh , Reena Singh , Pawan Kumar Singh , B.K. Sarkar
发明人: Nima Jafari Navimipour , Seyed-Sajad Ahmadpour , Bandan Kumar Bhoi , Mohan Chandra Pradhan , Ratiranjan Senapati , L.K. Abhilashi , Parinidhi Singh , Reena Singh , Pawan Kumar Singh , B.K. Sarkar
IPC分类号: G06F16/635 , G10L25/63 , G10L25/30 , G10L21/0272 , G10H1/00 , G06F16/65
CPC分类号: G06F16/636 , G10L25/63 , G10L25/30 , G10L21/0272 , G10H1/0008 , G06F16/65 , G10H2210/031 , G10H2250/311
摘要: 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, which incredibly builds the convergence of sound elements.
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