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Fuzzy prediction for failed back surgery syndrome
(
Taylor and Francis Ltd.
, 2010 , Article)
In this article a new strategy is presented that can be used by neurophysicians, neurosurgeons, and orthopedic surgeons to predict patients' health after an operative procedure on the vertebral column just by analyzing the ...
Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal
(
Elsevier Inc.
, 2019 , Article)
This study examines the diversification and hedging properties of Bitcoin (BTC) and gold assets for oil and S&P GSCI investors. We model and forecast the volatility performance of the pairs BTC–oil, gold–oil, BTC–S&P GSCI, ...
Load shedding and forecasting in distribution systems with PV-based distributed generation and electric vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The aim of the paper is to investigate the load shedding and forecasting in distribution networks with PV-based Distributed Generation (DG) and Plug-in Electric Vehicles (PEVs). Advancement in technology, especially in the ...
Urban air pollution monitoring system with forecasting models
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
A system for monitoring and forecasting urban air pollution is presented in this paper. The system uses low-cost air-quality monitoring motes that are equipped with an array of gaseous and meteorological sensors. These ...
ANN Model for Energy Demand and Supply Forecasting in a Hybrid Energy Supply System
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
This paper presents short term demand and supply forecasting model for a microgrid supply system used to secure the electricity demands of a commercial building, using one year demand data collected in hourly base. One-year ...
An efficient hybrid prediction approach for predicting cloud consumer resource needs
(
IEEE Computer Society
, 2016 , Conference Paper)
The prediction of cloud consumer resource needs is a vital step for several cloud deployment applications such as capacity planning, workload management, and dynamic allocation of cloud resources. In this paper, we develop ...
A Review on Fatigue Life Prediction Methods for Metals
(
Hindawi Limited
, 2016 , Article Review)
Metallic materials are extensively used in engineering structures and fatigue failure is one of the most common failure modes of metal structures. Fatigue phenomena occur when a material is subjected to fluctuating stresses ...
Short-term probabilistic building load forecasting based on feature integrated artificial intelligent approach
(
Elsevier Ltd
, 2022 , Article)
Due to various influential factors that lead to instability and volatility of the building load, short-term building load forecasting is a gruelling task. This paper proposes a hybrid short-term building load probability ...
Health monitoring and degradation prognostics in gas turbine engines using dynamic neural networks
(
American Society of Mechanical Engineers (ASME)
, 2015 , Conference Paper)
In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying ...
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ...