41 results match your criteria Archives Of Computational Methods In Engineering[Journal]


A Survey Towards Decision Support System on Smart Irrigation Scheduling Using Machine Learning approaches.

Arch Comput Methods Eng 2022 May 9:1-24. Epub 2022 May 9.

Department of Computer Science, Thapar Institute of Engineering & Technology, Patiala, India.

From last decade, Big data analytics and machine learning is a hotspot research area in the domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big data analytics becomes a key technology to perform analysis of voluminous data. Read More

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COMPUTATIONAL 2D and 3D MEDICAL IMAGE DATA COMPRESSION MODELS.

Arch Comput Methods Eng 2022 Mar 7;29(2):975-1007. Epub 2021 May 7.

Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, OH 45229 USA.

In this world of big data, the development and exploitation of medical technology is vastly increasing and especially in big biomedical imaging modalities available across medicine. At the same instant, acquisition, processing, storing and transmission of such huge medical data requires efficient and robust data compression models. Over the last two decades, numerous compression mechanisms, techniques and algorithms were proposed by many researchers. Read More

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Appositeness of Optimized and Reliable Machine Learning for Healthcare: A Survey.

Arch Comput Methods Eng 2022 Mar 22:1-23. Epub 2022 Mar 22.

Department of Statistics, Faculty of Commerce and Accountancy, Chulalongkorn Business School, Bangkok, Thailand.

Machine Learning (ML) has been categorized as a branch of Artificial Intelligence (AI) under the Computer Science domain wherein programmable machines imitate human learning behavior with the help of statistical methods and data. The Healthcare industry is one of the largest and busiest sectors in the world, functioning with an extensive amount of manual moderation at every stage. Most of the clinical documents concerning patient care are hand-written by experts, selective reports are machine-generated. Read More

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Hybrid Meta-Heuristic Algorithms for Optimal Sizing of Hybrid Renewable Energy System: A Review of the State-of-the-Art.

Arch Comput Methods Eng 2022 Mar 16:1-35. Epub 2022 Mar 16.

Faculty of Sciences and Techniques of Mohammedia, Hassan II University, Casablanca, Morocco.

The hybrid renewable energy system (HRES) has been presented as the most studied solution for improving the sustainability of energy production infrastructures in isolated areas. With the rapid growth of HRES markets, various issues and aspects must be taken into consideration when the major working about the hybridization of renewable energy sources, consequently optimization problem solving for this system is a requirement. Therefore, this paper presents a state-of-the-art review of hybrid meta-heuristic algorithms applied for the optimal size of HRES. Read More

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A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms.

Arch Comput Methods Eng 2022 Feb 25:1-23. Epub 2022 Feb 25.

Department of Civil Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.

Reservoir operation optimisation secures benefits, such as optimising energy production while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest possible cost. This paper carries reviews of research on reservoir optimisation models and the consequential challenges of optimally operating reservoir operations. An introductory section is given to the background of reservoir operations and the current concerns on the optimal reservoir operations, for the decision-makers and stakeholders. Read More

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February 2022

A Review on Applications of CFD Modeling in COVID-19 Pandemic.

Arch Comput Methods Eng 2022 Jan 20:1-20. Epub 2022 Jan 20.

Department of Chemical Engineering, Caspian Faculty of Engineering, College of Engineering, University of Tehran, Tehran, Iran.

COVID-19 pandemic has started a big challenge to the world health and economy during recent years. Many efforts were made to use the computation fluid dynamic (CFD) approach in this pandemic. CFD was used to understanding the airborne dispersion and transmission of this virus in different situations and buildings. Read More

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January 2022

3D Face Reconstruction in Deep Learning Era: A Survey.

Arch Comput Methods Eng 2022 Jan 10:1-33. Epub 2022 Jan 10.

Computer Science and Engineering Department, National Institute of Technology, Hamirpur, India.

3D face reconstruction is the most captivating topic in biometrics with the advent of deep learning and readily available graphical processing units. This paper explores the various aspects of 3D face reconstruction techniques. Five techniques have been discussed, namely, deep learning, epipolar geometry, one-shot learning, 3D morphable model, and shape from shading methods. Read More

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January 2022

A Systematic Literature Review of Blockchain Technology for Smart Villages.

Arch Comput Methods Eng 2021 Oct 27:1-52. Epub 2021 Oct 27.

Thapar Institute of Engineering and Technology, Patiala, Punjab India.

According to the United Nations, Sustainable Development Goals are framed for improving rural health, hunger, poverty issues, environmental conditions, and illiteracy globally. With the upcoming technology, there have been many advances in the lifestyle of people all around the world. Comparatively, more emphasis has been given to the development of urban areas than rural. Read More

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October 2021

A Review of Riemann Solvers for Hypersonic Flows.

Arch Comput Methods Eng 2022 21;29(3):1771-1800. Epub 2021 Oct 21.

School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072 China.

In the design of the hypersonic airliner which can greatly shorten the flight time and conduct space travel, it is of great significance for a Riemann solver to accurately simulate hypersonic flows. In this survey, the research process on the Riemann solver for hypersonic flows is reviewed, including the constructions of the traditional Riemann solvers, improvements of the traditional Riemann solvers for the shock anomaly, and the importance of the all-speed Riemann solver for hypersonic flows. Moreover, constructions and applications of the all-speed Riemann solvers are presented. Read More

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October 2021

Outbreak COVID-19 in Medical Image Processing Using Deep Learning: A State-of-the-Art Review.

Arch Comput Methods Eng 2021 Oct 19:1-32. Epub 2021 Oct 19.

Department of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, Punjab India.

From the month of December-19, the outbreak of Coronavirus (COVID-19) triggered several deaths and overstated every aspect of individual health. COVID-19 has been designated as a pandemic by World Health Organization. The circumstances placed serious trouble on every country worldwide, particularly with health arrangements and time-consuming responses. Read More

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October 2021

Automated Bacterial Classifications Using Machine Learning Based Computational Techniques: Architectures, Challenges and Open Research Issues.

Arch Comput Methods Eng 2021 Oct 12:1-22. Epub 2021 Oct 12.

Department of Computer Science & Engineering, NIT Srinagar, Jammu, Jammu & Kashmir India.

Bacteria are important in a variety of practical domains, including industry, agriculture, medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of them are extremely dangerous and causes variety of life threatening illness to different living organisms. Read More

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October 2021

System Inference Via Field Inversion for the Spatio-Temporal Progression of Infectious Diseases: Studies of COVID-19 in Michigan and Mexico.

Arch Comput Methods Eng 2021 1;28(6):4283-4295. Epub 2021 Oct 1.

Mechanical Engineering , University of Michigan, Ann Arbor, MI USA.

We present an approach to studying and predicting the spatio-temporal progression of infectious diseases. We treat the problem by adopting a partial differential equation (PDE) version of the Susceptible, Infected, Recovered, Deceased (SIRD) compartmental model of epidemiology, which is achieved by replacing compartmental populations by their densities. Building on our recent work (Computat Mech 66:1177, 2020), we replace our earlier use of global polynomial basis functions with those having local support, as epitomized in the finite element method, for the spatial representation of the SIRD parameters. Read More

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October 2021

A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis.

Arch Comput Methods Eng 2021 Sep 27:1-28. Epub 2021 Sep 27.

Department of Computer Science and Information Management, Providence University, Taichung City, Taiwan, ROC.

Artificial intelligence has aided in the advancement of healthcare research. The availability of open-source healthcare statistics has prompted researchers to create applications that aid cancer detection and prognosis. Deep learning and machine learning models provide a reliable, rapid, and effective solution to deal with such challenging diseases in these circumstances. Read More

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September 2021

COVID-19: A Comprehensive Review of Learning Models.

Arch Comput Methods Eng 2022 18;29(3):1915-1940. Epub 2021 Sep 18.

Department of Computer Science and Engineering, Indian Institute of Information Technology, Surat, Gujarat India.

Coronavirus disease is communicable and inhibits the infected person's immune system. It belongs to the Coronaviridae family and has affected 213 nations and territories so far. Many kinds of studies are being carried out to filter advice and provide oversight to monitor this outbreak. Read More

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September 2021

Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments.

Arch Comput Methods Eng 2022 31;29(3):1801-1837. Epub 2021 Aug 31.

Department of Computer Science and Engineering, NIT Srinagar, Srinagar, J&K India.

Microorganisms or microbes comprise majority of the diversity on earth and are extremely important to human life. They are also integral to processes in the ecosystem. The process of their recognition is highly tedious, but very much essential in microbiology to carry out different experimentation. Read More

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Effects of B.1.1.7 and B.1.351 on COVID-19 Dynamics: A Campus Reopening Study.

Arch Comput Methods Eng 2021 Aug 23:1-12. Epub 2021 Aug 23.

Department of Mechanical Engineering, Stanford University, Stanford, California, USA.

The timing and sequence of safe campus reopening has remained the most controversial topic in higher education since the outbreak of the COVID-19 pandemic. By the end of March 2020, almost all colleges and universities in the United States had transitioned to an all online education and many institutions have not yet fully reopened to date. For a residential campus like Stanford University, the major challenge of reopening is to estimate the number of incoming infectious students at the first day of class. Read More

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Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review.

Arch Comput Methods Eng 2022 11;29(2):1311-1337. Epub 2021 Aug 11.

Department of Mechanical Engineering, College of Engineering, King Khalid University, PO Box 394, Abha, 61421 Kingdom of Saudi Arabia.

Mathematical models have assisted in describing the transmission and propagation dynamics of various viral diseases like MERS, measles, SARS, and Influenza; while the advanced computational technique is utilized in the epidemiology of viral diseases to examine and estimate the influences of interventions and vaccinations. In March 2020, the World Health Organization (WHO) has declared the COVID-19 as a global pandemic and the rate of morbidity and mortality triggers unprecedented public health crises throughout the world. The mathematical models can assist in improving the interventions, key transmission parameters, public health agencies, and countermeasures to mitigate this pandemic. Read More

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Forecasting Multi-Wave Epidemics Through Bayesian Inference.

Arch Comput Methods Eng 2021 Jul 28:1-15. Epub 2021 Jul 28.

Sandia National Laboratories, Livermore, CA United States.

We present a simple, near-real-time Bayesian method to infer and forecast a multiwave outbreak, and demonstrate it on the COVID-19 pandemic. The approach uses timely epidemiological data that has been widely available for COVID-19. It provides short-term forecasts of the outbreak's evolution, which can then be used for medical resource planning. Read More

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Assessing the Spatio-temporal Spread of COVID-19 via Compartmental Models with Diffusion in Italy, USA, and Brazil.

Arch Comput Methods Eng 2021 27;28(6):4205-4223. Epub 2021 Jul 27.

Department of Civil Engineering, COPPE/Federal University of Rio de Janeiro, P.O. Box 68506, Rio de Janeiro, RJ 21945-970 Brazil.

The outbreak of COVID-19 in 2020 has led to a surge in interest in the mathematical modeling of infectious diseases. Such models are usually defined as compartmental models, in which the population under study is divided into compartments based on qualitative characteristics, with different assumptions about the nature and rate of transfer across compartments. Though most commonly formulated as ordinary differential equation models, in which the compartments depend only on time, recent works have also focused on partial differential equation (PDE) models, incorporating the variation of an epidemic in space. Read More

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Mathematical Modeling and Numerical Simulation of Atherosclerosis Based on a Novel Surgeon's View.

Arch Comput Methods Eng 2021 8;28(6):4263-4282. Epub 2021 Jul 8.

Institute of Continuum Mechanics, Leibniz Universität Hannover, Hannover, Germany.

This paper deals with the mathematical modeling of atherosclerosis based on a novel hypothesis proposed by a surgeon, Prof. Dr. Axel Haverich (Circulation 135(3):205-207, 2017). Read More

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High-Fidelity Simulation of Pathogen Propagation, Transmission and Mitigation in the Built Environment.

Arch Comput Methods Eng 2021 Jul 5:1-26. Epub 2021 Jul 5.

International Center for Numerical Methods in Engineering, CIMNE, Barcelona, Spain.

An overview of high-fidelity modeling of pathogen propagation, transmission and mitigation in the built environment is given. In order to derive the required physical and numerical models, the current understanding of pathogen, and in particular virus transmission and mitigation is summarized. The ordinary and partial differential equations that describe the flow, the particles and possibly the UV radiation loads in rooms or HVAC ducts are presented, as well as proper numerical methods to solve them in an expedient way. Read More

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Risk Assessment of Infection by Airborne Droplets and Aerosols at Different Levels of Cardiovascular Activity.

Arch Comput Methods Eng 2021 1;28(6):4297-4316. Epub 2021 Jul 1.

Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia.

Since end of 2019 the COVID-19 pandemic, caused by the SARS-CoV-2 virus, is threatening humanity. Despite the fact that various scientists across the globe try to shed a light on this new respiratory disease, it is not yet fully understood. Unlike many studies on the geographical spread of the pandemic, including the study of external transmission routes, this work focuses on droplet and aerosol transport and their deposition inside the human airways. Read More

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A Multiscale Approach for the Numerical Simulation of Turbulent Flows with Droplets.

Arch Comput Methods Eng 2021 26;28(6):4185-4204. Epub 2021 Jun 26.

Center for Computational Fluid Dynamics, College of Science, George Mason University, Fairfax, VA 22030-4444 USA.

A multiscale approach for the detailed simulation of water droplets dispersed in a turbulent airflow is presented. The multiscale procedure combines a novel representative volume element (RVE) with the Pseudo Direct Numerical Simulation (P-DNS) method. The solution at the coarse-scale relies on a synthetic model, constructed using precomputed offline RVE simulations and an alternating digital tree, to characterize the non-linear dynamic response at the fine-scale. Read More

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A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions.

Authors:
T I Zohdi

Arch Comput Methods Eng 2021 5;28(6):4317-4329. Epub 2021 Jun 5.

Department of Mechanical Engineering 6195 Etcheverry Hall, University of California, Berkeley, CA 94720-1740 USA.

The pandemic of 2019 has led to an enormous interest in all aspects of modeling and simulation of infectious diseases. One central issue is the redesign and deployment of ventilation systems to mitigate the transmission of infectious diseases, produced by respiratory emissions such as coughs. This work seeks to develop a combined Digital-Twin and Machine-Learning framework to optimize ventilation systems by building on rapidly computable respiratory emission models developed in Zohdi (Comput Mech 64:1025-1034, 2020). Read More

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Multiscale modeling meets machine learning: What can we learn?

Arch Comput Methods Eng 2021 May 17;28(3):1017-1037. Epub 2020 Feb 17.

Stanford University, Stanford, California, USA.

Machine learning is increasingly recognized as a promising technology in the biological, biomedical, and behavioral sciences. There can be no argument that this technique is incredibly successful in image recognition with immediate applications in diagnostics including electrophysiology, radiology, or pathology, where we have access to massive amounts of annotated data. However, machine learning often performs poorly in prognosis, especially when dealing with sparse data. Read More

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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications.

Arch Comput Methods Eng 2022 27;29(2):763-792. Epub 2021 May 27.

Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, UAE.

In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. Read More

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Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review.

Arch Comput Methods Eng 2022 3;29(2):897-919. Epub 2021 May 3.

Department of Mechanical Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.

The automotive industry is facing a crucial time. The transformation from internal combustion engines to new electrical technologies requires enormous investment, and hence the IC engines are likely to serve as a means of transportation for the coming decades. The search for sustainable green alternative fuel and operating parameter optimization is a current feasible solution and is a critical issue among the scientific community. Read More

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Optimization of Thermal and Structural Design in Lithium-Ion Batteries to Obtain Energy Efficient Battery Thermal Management System (BTMS): A Critical Review.

Arch Comput Methods Eng 2021 Apr 26:1-66. Epub 2021 Apr 26.

Department of Mechanical Engineering, College of Engineering, King Khalid University, PO Box 394, Abha, 61421 Saudi Arabia.

Covid-19 has given one positive perspective to look at our planet earth in terms of reducing the air and noise pollution thus improving the environmental conditions globally. This positive outcome of pandemic has given the indication that the future of energy belong to green energy and one of the emerging source of green energy is Lithium-ion batteries (LIBs). LIBs are the backbone of the electric vehicles but there are some major issues faced by the them like poor thermal performance, thermal runaway, fire hazards and faster rate of discharge under low and high temperature environment,. Read More

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Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs).

Arch Comput Methods Eng 2021 2;28(7):4503-4521. Epub 2021 Apr 2.

National University of Sciences and Technology (NUST), Islamabad, Pakistan.

The survey paper summarizes the recent applications and developments in the domain of Generative Adversarial Networks (GANs) i.e. a back propagation based neural network architecture for generative modeling. Read More

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Image Fusion Techniques: A Survey.

Arch Comput Methods Eng 2021 24;28(7):4425-4447. Epub 2021 Jan 24.

Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Bidholi, Dehradun, India.

The necessity of image fusion is growing in recently in image processing applications due to the tremendous amount of acquisition systems. Fusion of images is defined as an alignment of noteworthy Information from diverse sensors using various mathematical models to generate a single compound image. The fusion of images is used for integrating the complementary multi-temporal, multi-view and multi-sensor Information into a single image with improved image quality and by keeping the integrity of important features. Read More

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January 2021