Ali Jamali
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View article: Parameter Estimation of a 2D Mathematical Model for Multi-Stage Compound Channels
Parameter Estimation of a 2D Mathematical Model for Multi-Stage Compound Channels Open
While a significant body of research has been focused on classic compound channels, few studies have focused on the multi-stage compound channels. Multi-stage compound channels have more than one floodplain on each side of the main channel…
View article: An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price
An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price Open
Home energy systems (HESs) face challenges, including high energy costs, peak load impact, and reliability issues associated with grid connections. To address these challenges, homeowners can implement solutions such as energy management, …
View article: Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles
Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles Open
Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among the existing technologies, hydrogen fuel cell electric ve…
View article: Experimental evaluation of the open-loop control method for a dual-axis solar tracker
Experimental evaluation of the open-loop control method for a dual-axis solar tracker Open
These days, societies need for energy increased due to the expansion of societies, industries, and technology.The production of electricity from renewable energy sources such as solar energy, which does not harm the environment and has lit…
View article: GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data
GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data Open
In industrial composites applications, drilling is one of the most common operations and complex processes during the final assembly, which can generate undesirable damage to the manufactured part. Data collection from a given composite’s …
View article: Neuro-Fuzzy System for Energy Management of Conventional Autonomous Vehicles
Neuro-Fuzzy System for Energy Management of Conventional Autonomous Vehicles Open
This paper investigates the energy management system (EMS) of a conventional autonomous vehicle, with a view to enhance its powertrain efficiency. The designed EMS includes two neuro-fuzzy (NF) systems to produce the optimal torque of the …
View article: Hybrid Model of Singular Value Decomposition, ANFIS and Genetic Algorithm for Prediction of Sediment Transport in Sewers
Hybrid Model of Singular Value Decomposition, ANFIS and Genetic Algorithm for Prediction of Sediment Transport in Sewers Open
Densimetric Froude (Fr) is the minimum velocity required to prevent sediment deposition in pipes. Prediction of Fr is of utmost importance in numerous applications in civil engineering. In this paper through using a new hybrid method. Gene…
View article: A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0
A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0 Open
A novel hybrid machine learning algorithm for limited and big data modeling with application in industry 4.0
View article: Approximate relations between Manhattan and Euclidean distance regarding Latin hypercube experimental design
Approximate relations between Manhattan and Euclidean distance regarding Latin hypercube experimental design Open
Among several existing distance measures, perhaps Euclidean distance is the most used tool to calculate distances and then Manhattan distance measure, though which distance measure is suitable depends on the problems. In the field of Desig…
View article: Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods
Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods Open
In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds sta…
View article: Comparison of evolutionary multi objective optimization algorithms in optimum design of water distribution network
Comparison of evolutionary multi objective optimization algorithms in optimum design of water distribution network Open
In this paper, the application of three well-known multi-objective optimization algorithms to water distribution network (WDN) optimum design has been considered. Non-dominated sorting genetic algorithm II (NSGA-II), Multi-objective differ…
View article: Multi-Objective Optimization of Manufacturing Process in Carbon Fiber Industry Using Artificial Intelligence Techniques
Multi-Objective Optimization of Manufacturing Process in Carbon Fiber Industry Using Artificial Intelligence Techniques Open
Seeking high profitability by improving energy efficiency and production quality is the prime goal of manufacturing industries. However, achieving this aim involves the realization of several conflicting objectives. In carbon fiber industr…
View article: Flame Failures and Recovery in Industrial Furnaces: A Neural Network Steady-State Model for the Firing Rate Setpoint Rearrangement
Flame Failures and Recovery in Industrial Furnaces: A Neural Network Steady-State Model for the Firing Rate Setpoint Rearrangement Open
Burner failures are common abnormal conditions associated with industrial fired heaters. Preventing from economic loss and major equipment damages can be attained by compensating the lost heat due to burners’ failures, which can be possibl…
View article: Improving recovery from mature oil fields in the West Texas Permian Basin
Improving recovery from mature oil fields in the West Texas Permian Basin Open
We undertake reservoir characterization, reservoir simulation, and data ana-lytics to investigate various pathways for improving oil production from mature oil fields. This study focuses on the oil fields located in the West Texas Permian …
View article: A new adaptive differential evolution optimization algorithm based on fuzzy inference system
A new adaptive differential evolution optimization algorithm based on fuzzy inference system Open
In this paper, a new version of differential evolution (DE) with adaptive mutation factor has been proposed for solving complex optimization problems. The proposed algorithm uses fuzzy logic inference system to dynamically tune the mutatio…
View article: Application of capacitance resistance models to determining interwell connectivity of large-scale mature oil fields
Application of capacitance resistance models to determining interwell connectivity of large-scale mature oil fields Open
In view of the problems existing in the application of Capacitance Resistance Models (CRMs) to large-scale mature oil fields, Capacitance Resistance Model for Producers (CRMP) was selected for analysis, a simplified procedure for applying …