Titlebook: Ambient Intelligence in Health Care; Proceedings of ICAIH Tripti Swarnkar,Srikanta Patnaik,Manohar Mishra Conference proceedings 2023 The E

Lineage

Karsten Gareis,Werner Korte,Markus Deutschion is prevented. The stress point of this research paper is to demonstrate the well-grounded solution that includes a smart cane and a smart shoe, which communicates with each other and guides the user from the obstacle.

BLAND

RescuePlus,fy nearby ambulances/auto-rickshaws. Then, ambulance/auto-rickshaw driver will be able to see location of victim. In this way application will act as a life savior in times of medical emergency. The purpose of this project is to lower the time required to reach hospital through automated system.

形上升才刺激

Breast Cancer Detection Using Concatenated Deep Learning Model,o train the network that is one of the supervised learning methods. To check the practicability of the proposed method publicly available breast cancer dataset is taken to train, validate, and test the network. The proposed method resulted in 95.32% testing accuracy.

Modicum

,Digi-CANE—An IoT Savior for Visually Sensitive,ion is prevented. The stress point of this research paper is to demonstrate the well-grounded solution that includes a smart cane and a smart shoe, which communicates with each other and guides the user from the obstacle.

guzzle

担忧

,Orte und Räume der Demokratie,AYA-PIC is very accurate, robust and stable as tested by SIMULINK of the MATLAB. The output shows the better strategy of JAYA-PIC to control the blood group level within a prescribed range of (70–120 mg/dl) called normo-glycaemia. JAYA-PIC execution is justified and revealed by the different control techniques and revealed by result examination.

BIDE

盲信者

烦躁的女人

Chimp Optimization Algorithm-Based Feature Selection for Cardiac Image-Based Heart Disease DiagnosiIn this approach, support vector neural network (SVNN) is used as classifier. The classifier classifies the image into normal and abnormal. Simulation results depict that the ChOA-based SVNN performs superior than the conventional SVNN, ANN, KNN and SVM in terms of accuracy.

用手捏