تصفح حسب الموضوع "prediction"
السجلات المعروضة 1 -- 20 من 20
-
A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique with trend analysis
( Public Library of Science , 2022 , Article)The bubble point pressure (Pb) could be obtained from pressure-volume-temperature (PVT) measurements; nonetheless, these measurements have drawbacks such as time, cost, and difficulties associated with conducting experiments ... -
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects
( JMIR Publications , 2022 , Article Review)Background: Machine learning (ML) and deep learning (DL) methods have recently garnered a great deal of attention in the field of cancer research by making a noticeable contribution to the growth of predictive medicine and ... -
A robust fuzzy logic-based model for predicting the critical total drawdown in sand production in oil and gas wells
( Public Library of Science , 2021 , Article)Sand management is essential for enhancing the production in oil and gas reservoirs. The critical total drawdown (CTD) is used as a reliable indicator of the onset of sand production; hence, its accurate prediction is very ... -
A survey of blockchain enabled cyber-physical systems
( MDPI AG , 2020 , Article Review)Cyber-physical systems (CPS) is a setup that controls and monitors the physical world around us. The advancement of these systems needs to incorporate an unequivocal spotlight on making these systems efficient. Blockchains ... -
Applications of Artificial Intelligence in Thrombocytopenia
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Thrombocytopenia is a medical condition where blood platelet count drops very low. This drop in platelet count can be attributed to many causes including medication, sepsis, viral infections, and autoimmunity. Clinically, ... -
Applications of Machine Learning for Predicting Heart Failure
( Wiley , 2022 , Book chapter)Heart Failure is a major health burden for healthcare systems worldwide. Early diagnosis, prediction and management of patients with these conditions are critical to improve patient health outcome. The availability of large ... -
Case Study: Predicting Future Forex Prices Using MLP and LSTM Models
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)This study compiles 10 years of past daily closing prices for numerous trading assets, and economic reports. The data will be used to train, test, and validate a variety of ANN and LSTM models. This paper introduces a ... -
Frequency of Parathyroid Hormone Assessment in the Evaluation of Hypercalcemia. A Comparison Between Patients With and Without a History of Malignancy in a 20-year Dataset of 20,954 Patients
( SAGE Publications Ltd , 2021 , Article)Background: The purpose of this study was to evaluate whether a prior diagnosis of malignancy affected the assessment of parathyroid hormone (PTH) in hypercalcemic patients and whether the rate of this assessment changed ... -
Functional connectivity alterations in epilepsy from resting-state functional MRI
( Public Library of Science , 2015 , Article)The study of functional brain connectivity alterations induced by neurological disorders and their analysis from resting state functional Magnetic Resonance Imaging (rfMRI) is generally considered to be a challenging task. ... -
How Red, Blue, and Green are Affectively Judged
( John Wiley and Sons Ltd , 2016 , Article)The present study aimed at examining how the colors red, blue, and green were affectively judged through three variables: dominance, arousal, and pleasure. All participants were exposed to red, blue, green, and white ... -
Hypertension Prediction Using Optimal Random Forest and Real Medical Data
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Long-lasting and difficult-to-treat, hypertension frequently leads to serious and life-threatening diseases. As a result, early risk assessment and prevention of hypertension are crucial. The majority of research currently ... -
Long-term performance analysis and power prediction of PV technology in the State of Qatar
( Elsevier Ltd , 2017 , Article)?Solar photovoltaic (PV) energy in GCC?- the term seems convincing to many solar PV industries due to high solar exposure in GCC region. However, long-term effects such as dust accumulation and seasonal variation are major ... -
Minimally Invasive and Non-Invasive Technologies for Predicting Heart Failure
( Wiley , 2022 , Book chapter)Heart failure is a life-threatening medical problem which refers to inadequate blood supply to body tissues due to the limited functioning of heart muscles. Heart failure is mostly observed as a chronic disease which ... -
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
( MDPI , 2021 , Article)Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ... -
Parameter Estimation of Vehicle Batteries in V2G Systems: An Exogenous Function-Based Approach
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The rapid introduction of electric vehicles (EVs) in the transportation market has initiated the concept of vehicle-to-grid (V2G) technology in smart grids. However, where V2G technology is intended to facilitate the power ... -
Parametric modeling of EEG signals with real patient data for simulating seizures and pre-seizures
( IEEE , 2013 , Conference Paper)Numerous theories and models have been developed to associate various findings or in relating EEG patterns to develop a software simulators. In this paper, a Dynamic model for simulating the EEG signal has been developed ... -
Prediction-based delay optimization data collection algorithm for underwater acoustic sensor networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The past years have seen a rapid development of autonomous underwater vehicle-aided (AUV-aided) data-gathering schemes in underwater acoustic sensor networks (UASNs). The use of AUVs efficiently reduces energy consumption ... -
Predictive model for early detection of type 2 diabetes using patients' clinical symptoms, demographic features, and knowledge of diabetes
( John Wiley and Sons Inc , 2024 , Article)Background and Aims: With the global rise in type 2 diabetes, predictive modeling has become crucial for early detection, particularly in populations with low routine medical checkup profiles. This study aimed to develop ... -
State-of-the-Art Review on Sustainable Design and Construction of Quieter Pavements-Part 2: Factors Affecting Tire-Pavement Noise and Prediction Models
( MDPI AG , 2016 , Article Review)Traffic noise is a combination of noises produced from a number of sources. Of all the traffic noise sources, tire-pavement noise, which is emitted as a result of the interaction of rolling,slipping, or dragging tires and ... -
The impact of genetic and non-genetic factors on warfarin dose prediction in MENA region: A systematic review
( Public Library of Science , 2016 , Article Review)Background Warfarin is the most commonly used oral anticoagulant for the treatment and prevention of thromboembolic disorders. Pharmacogenomics studies have shown that variants in CYP2C9 and VKORC1 genes are strongly and ...