Titlebook: International Conference on Advanced Intelligent Systems for Sustainable Development; Volume 3 - Advanced Janusz Kacprzyk,Mostafa Ezziyyan

固定某物

,Artificial Intelligence at the Service of Precision Medicine,e (AI) has been implemented in disease diagnosis and prognosis, treatment optimization and outcome prediction, drug development, and public health. This technological and especially medical advancement results from the ability of machine learning algorithms to process multidimensional data. This pap

Semblance

Case-Based Reasoning Approach, Integrating Deep Learning for Patient Diagnosis Combined X-Ray with the risk that a false diagnosis may generate the requirement for models to be explainable. However, these models depend considerably on the user input (symptoms) and the input of the patient’s radiology image. Deep learning approaches based on convolutional neural networks have been proved in sever

auxiliary

AGRI-PREDI Prediction System of Climate Change Based on Machine Learning for Precision Agriculture ural challenges such as eliminating difficult manual tasks and predicting crop yields based on climate change data..We present a new AGRI-PREDI solution that uses new intelligent agro-climatic functionalities. Data is collected from several national and international databases, and we apply smart ne

Bouquet

Estimated Daily Reference Evapotranspiration Using Machine Learning and Deep Learning Based on Variculture, plant water requirements are a factor that must be calculated accurately. The evapotranspiration reference (ET0) is used to calculate the real need for water of a given plant. The calculation of . poses a challenge given the limited availability of meteorological data and the consequent num

确定

渐变

,Machine Learning for Medical Image Analysis: A Survey,ns, identification, detection along with the classification of a variety of diseases, including Brain Tumors, Breast Cancer, diagnosis of diabetic retinopathy, as well as, more recently in dealing with the COVID-19 pandemic and its associated medical challenges. To that end, medical image processing

Minikin

certain

Argania Forest Change Detection,Sentinel-2,Using, of the major concerns for maintaining biodiversity is deforestation. Meanwhile, the recent advances in the field of image processing by Convolutional Neural Networks (CNNs) and the wide availability of high spatiotemporal resolution satellite imagery provide an unprecedented configuration for the i

aphasia

强壮