A5001873126- Advanced Machining and Optimization Techniques
- Advanced machining processes and optimization
- Advanced Surface Polishing Techniques
- Metal and Thin Film Mechanics
- Biodiesel Production and Applications
- Membrane Separation and Gas Transport
- Nanofluid Flow and Heat Transfer
- Additive Manufacturing Materials and Processes
- Petroleum Processing and Analysis
- Supply Chain and Inventory Management
- Graphene research and applications
- Capital Investment and Risk Analysis
- Membrane Separation Technologies
- Brain Tumor Detection and Classification
- Phase Equilibria and Thermodynamics
- Public-Private Partnership Projects
- Lubricants and Their Additives
- Injection Molding Process and Properties
- Metal Alloys Wear and Properties
- Corrosion Behavior and Inhibition
- Diamond and Carbon-based Materials Research
- TiO2 Photocatalysis and Solar Cells
- Structural Health Monitoring Techniques
- Process Optimization and Integration
- Risk Management in Financial Firms
University of Jeddah
2017-2025
Imperial Oil (Canada)
2023
Applied Technologies (United States)
2021
University of Sfax
2020
Huazhong University of Science and Technology
2020
Al Baha University
2020
Taif University
2020
University of Miami
2018
King Abdulaziz University
2012
Carleton University
1997-2010
Wind speed interval prediction is gaining importance in optimal planning and operation of power systems. However, the unpredictable characteristics wind energy makes quality forecasting an arduous task. In this paper, we propose a novel hybrid model for using autoencoder bidirectional long short term memory neural network. The initially extracts important unseen features from data. artificially generated are utilized as input to network generate intervals. We also demonstrate that time...
Pneumonia is a fatal disease responsible for almost one in five child deaths worldwide. Many developing countries have high mortality rates due to pneumonia because of the unavailability proper and timely diagnostic measures. Using machine learning-based diagnosis methods can help detect early less time cost. In this study, we proposed novel method determine presence identify its type (bacterial or viral) through analyzing chest radiographs. We performed three-class classification based on...
Owing to the extreme heat generated during Inconel 718 machining, application of a minimum quantity lubrication (MQL) strategy is restricted mild cutting conditions. By incorporating vegetable-based oils reinforced by nanoparticles as possible additives, effectiveness MQL can be improved in high-speed machining. In this study, hybrid nano-green were developed combining graphene various volume concentrations with sunflower oil. Subsequently, dispersion stability, thermal conductivity,...
Experimental specific heat capacity (SHC) analysis of nano-diamond/thermal oil nanofluids using DSC, and its comparison with conventional models. A decrement 8.25% in SHC is found for 1 wt% nanofluid.
The gig economy represents a paradigm change in the traditional labour market, inspired by technological progress and changing functioning preferences. Characterized short-term, freelance contract-based employment, it enables individuals to flexible various industries, including ride-sharing, food distribution, digital services distance freelancing. While provides benefits such as autonomy, diverse income currents global function opportunities, also increases concerns about job security,...
Abstract This paper presents an investigation for biodiesel production from waste palm oil, utilizing a modified nano-catalyst. The study explores the influence of critical input parameters, including methanol to oil molar ratio, reaction temperature, and catalyst concentration, on yield viscosity biodiesel. Employing response surface methodology (RSM) based face-centred central composite design (FCCCD), twenty experiments were conducted, corresponding values measured. data analyzed using...
Abstract Alzheimer's is the main reason for dementia, that affects frequently older adults. This disease costly especially, in terms of treatment. In addition, one deaths causes old-age citizens. Early detection helps medical staffs this diagnosis, which will certainly decrease risk death. made early a crucial problem healthcare industry. The objective research study to introduce computer-aided diagnosis system using machine learning techniques. We employed data from Alzheimer’s Disease...
Traditional methods for producing 316L steel with a desired roughness and uniform thin coating sufficient bioactivity long-term durability are highly difficult require post-processing. Electric discharge machining (EDM) is nontraditional process that can accomplish both the surface concurrently. This study provides thorough examination of impacts EDM parameters on responses, which significantly necessary processing to reach its full potential. The nano-hydroxyapatite particles added method...
Inconel 718 is a heat-resistant Ni-based superalloy widely used, particularly, in aircraft and aero-engineering applications. It has poor machinability due to its unique thermal mechanical properties. For this reason, studies have been carried out from past present improve the of Nickel-based (Ni) alloys. Further improvement can be achieved by applying hybrid multi-objective optimization strategies ensure that cutting parameters cooling/lubrication are also adjusted effectively. That why,...
Bio-oil production from rice husk, an abundant agricultural residue, has gained significant attention as a sustainable and renewable energy source. The current research aims to employ artificial neural network (ANN) support vector machine (SVM) modeling techniques for the optimization of operating parameters bio-oil extracted husk ash (RHA) through pyrolysis. ANN SVM methods are employed model optimize operational conditions, including temperature, heating rate, feedstock particle size,...
Abstract This study reports optimization and simulation of biodiesel synthesis from waste cooking oil through supercritical transesterification reaction without the use any catalyst. Although catalyst enhances rate but due to presence water contents in oil, could cause a negative impact on yield. The also offers advantage reduction pretreatment cost. comprises two steps; first step involves development validation process scheme. second using Response Surface Methodology. Face-centered...
In dry turning operation, various parameters influence the cutting force and contribute in machining precision. Generally, numerical models are adopted to establish optimum results substantiated with experimental findings. this paper, optimal of AA2024-T351 alloy determined through Abaqus/Explicit simulations by employing Johnson-Cook thermo-viscoplastic-damage material model. Turning were verified published data. Considering constrained nonlinear optimization problem, artificial neural...
Algal biodiesel is of growing interest in reducing carbon emissions to the atmosphere. The production affected by many process parameters. Although research works have been conducted, influence each parameter on not well understood when considering a complete system. Therefore, experimental data from literature sources related types algae, methanol-to-algal-oil ratio, temperature, and time rate were reviewed introduced into neural-network-inspired correlation (N2IC) model study...