Titlebook: Cognitive Computing and Cyber Physical Systems; 4th EAI Internationa Prakash Pareek,Nishu Gupta,M. J. C. S. Reis Conference proceedings 202

famine

不在灌木叢中

內(nèi)疚

Selected Themes in African Political Studiesl performance of this architecture is checked using accuracy measure and it is observed that three models with freeze layers were showing good performance. Out of these three architectures, Resnet-50 shown accuracy of 95.33%.

Abutment

反對

electrolyte

不給啤

成份

Enhancing Heart Disease Prediction Through a Heterogeneous Ensemble DL Modelsion metrics. The findings highlight the effectiveness of cardiovascular disease ensemble DL models prediction, showcasing their potential for enhancing diagnostic accuracy in clinical settings and aiding healthcare professionals in making informed decisions for patient care.

Encumber

IoT-Based Pesticide Detection in?Fruits and?Vegetables Using Hyperspectral Imaging and?Deep Learningfer Learning (few-shot learning). This paper proposes an architecture and algorithm based on HSI and few-shot learning. Future studies are needed in this area to convert an RGB image to a spectral image because the HSI device is very expensive.

動機

Statistical Analysis of Hematological Parameters for Prediction of Sickle Cell Diseasechronic hemolytic anemia, and capillary blockage causes tissue hypoxia and subsequent organ damage. So, it is important to monitor patients suffering from sickle cells..Here we have used machine learning to visualize those patients and categorize them according to their hemoglobin level, percentage