Abstract: The system comprises an input device for collecting a comprehensive pathological database obtained from two types of patients selected from cancer patients of each cancer stage, which exhibit uncontrolled growth of cells, localized to a tissue mass, spreaded in an organ or throughout the body through blood and immunologically compromised patients, having hypo immune tendency or hyper immunological conditions; a pre-processor for removing noise from collected comprehensive pathological database; a training processor configured with a deep learning technique for training back propagation network (BPN) using pathological tests of cancer patients and immunologically abnormal patients; a classification processor for categorizing patients based on extent of diseases using back propagation network (BPN); and a central processor equipped with a radiotherapy device for using the autoimmunity of the patients upon triggering the autoimmunity of the patients in the concerned tissue, organ or the blood for killing the can

Abstract: The system comprises a grinder for crushing and pulverizing waste phenolic polymer material, wood fiber and porous material to form a powder; a homogenizer for mixing waste phenolic polymer material powder uniformly with resin for bonding the powder of the waste phenolic polymer material, wherein resin is added for bonding the powder of the waste phenolic polymer material, the powder of wood fiber and powder of porous material; a mixing chamber for mixing powder of waste phenolic polymer material, wood fiber and porous material uniformly; a pressing device for applying one of the methods of hot pressing, cold pressing, injection by an injection machine, extrusion by an extruder, or foaming of the obtained mixture to form desired solid material; and an analysis unit for determining a physical and mechanical properties of these boards using a series of tests such as compressive, tensile, flexural, thickness swelling, water absorption, and moisture content.

Abstract: The present disclosure generally relates to a system for prolonged bearing of cancer and its treatment on oral health comprises an input unit for detecting or receiving significant number of the intense and persistent oral poison levels of malignant growth treatment; a pre-processing unit for removing noise and classifying data into type of the cancer and malignancy of the cancer; a controlling unit for propelling in computational displaying and profound Learning conventions and recognizing people in danger of creating drug poison levels and preparing suppliers to anticipate, of which patients and medications are probably going to prompt oral secondary effects; and a virtual assistant for providing administration of a mind-boggling patient populace that requires interprofessional cooperation and the usage of an exhaustive, patient-focused approach with an accentuation on oral wellbeing.

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 invention generally relates to a self-charging system for electric vehicles comprises at least one gearbox comprises an input end and an output end mechanically coupled to one of the wheels of a vehicle to the input end to generate a rotational energy with an increased output of one of the torque or speed (RPM) to the output end; an auxiliary generator connected to the output end of the at least one gearbox to convert the rotational energy into electrical energy; a controller equipped with a maximum power point tracker to produce maximum power output; and a charger controller coupled to the maximum power point tracker to charge a batter of the vehicle upon limiting electric current rate of the power output to protect against electrical overload, overcharging, and overvoltage.

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.