Browsing by Subject "Forecasting"

Now showing items 1-20 of 44

    • A comparative analysis to forecast carbon dioxide emissions 

      Faruque, Md. Omer; Rabby, Md. Afser Jani; Hossain, Md. Alamgir; Islam, Md. Rashidul; Rashid, Md Mamun Ur; ... more authors ( Elsevier Ltd , 2022 , Article)
      Despite the growing knowledge and commitment to climate change, carbon dioxide (CO2) emissions continue to rise dramatically throughout the planet. In recent years, the consequences of climate change have become more ...

    • A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines 

      Daroogheh, N.; Baniamerian, A.; Meskin, Nader; Khorasani, K. ( 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 ...

    • A novel particle filter parameter prediction scheme for failure prognosis 

      Daroogheh, N.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      Particle filters are well-known as powerful tools for accomplishing state and parameter estimation and their propagation prediction in nonlinear dynamical systems. Their ability to include system model parameters as part ...

    • A Review on Fatigue Life Prediction Methods for Metals 

      Santecchia, E.; Hamouda, A. M. S.; Musharavati, F.; Zalnezhad, E.; Cabibbo, M.; ... more authors ( 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 ...

    • A Scene-to-Speech Mobile based Application: Multiple Trained Models Approach 

      Karkar A.; Kunhoth J.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The concept of Scene-to-Speech (STS) is to recognize elements in a captured image or a video clip to speak loudly an informative textual content that describes the scene. The contemporary progression in convolution neural ...

    • A systematic visual methodology to design ionic liquids and ionic liquid mixtures: Green solvent alternative for carbon capture 

      KeenChong, Fah; Eljack, Fadwa T.; Atilhan, Mert; Foo, Dominic C. Y.; Chemmangattuvalappil, Nishanth G. ( Elsevier Ltd , 2016 , Article)
      Ionic liquids (ILs) have gained great interest recently to substitute volatile organic compounds (VOCs), since their properties can be tuned to match certain targets and applications. Further to this, another possibility ...

    • An efficient hybrid prediction approach for predicting cloud consumer resource needs 

      Erradi, Abdelkarim; Kholidy, Hisham A. ( 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 ...

    • ANN Model for Energy Demand and Supply Forecasting in a Hybrid Energy Supply System 

      Ayoub N.; Musharavati F.; Pokharel S.; Gabbar H.A. ( 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 ...

    • Artificial Intelligence and Ethics in Dentistry: A Scoping Review 

      Mörch C.M.; Atsu S.; Cai W.; Li X.; Madathil S.A.; ... more authors ( SAGE Publications Inc. , 2021 , Article)
      Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The ...

    • ASSESSING THE CURRENT STANDING OF HAMAD MEDICAL CORPORATION BLOOD DONOR CENTER IN QATAR AND DEVELOPING A FORECAST MODEL FOR THE BLOOD STOCK NEEDS DURING THE 2022 WORLD CUP EVENT 

      Qush, Abeer; E. Abdel-Rahman, Manar; Al-Dewik, Nader; Kamareddine, Layla ( Qatar University Press , 2020 , Poster)
      Background: In four years from now, Qatar will host the 2022 World Cup competition which requires high level of preparedness and readiness in different sectors including health care. Among different sub-sections of health, ...

    • ASSESSING THE CURRENT STANDING OF HAMAD MEDICAL CORPORATION BLOOD DONOR CENTER IN QATAR AND DEVELOPING A FORECAST MODEL FOR THE BLOOD STOCK NEEDS DURING THE 2022 WORLD CUP EVENT 

      QUSH, ABEER SULEIMAN (2019 , Master Thesis)
      Background: In four years from now, Qatar will host the 2022 World Cup competition which requires high level of preparedness and readiness in different sectors including health care. Among different sub-sections of health, ...

    • Automatic prediction of age, gender, and nationality in offline handwriting 

      Al-Maadeed, Somaya; Hassaine A. ( Hindawi Publishing Corporation , 2014 , Article)
      The classification of handwriting into different categories, such as age, gender, and nationality, has several applications. In forensics, handwriting classification helps investigators focus on a certain category of ...

    • CFD modeling of particle settling in drilling fluids: Impact of fluid rheology and particle characteristics 

      Awad A.M.; Hussein I.A.; Nasser M.S.; Karami H.; Ahmed R. ( Elsevier B.V. , 2021 , Article)
      The settling of drilling cuttings is important for the drilling and clean-out operations. The current article provides a Computational Fluid Dynamics (CFD) modeling study of particle settling behavior during the drilling ...

    • CheckThat! at CLEF 2020: Enabling the automatic identification and verification of claims in social media 

      Barrón-Cedeño, Alberto; Elsayed, Tamer; Nakov, Preslav; Da San Martino, Giovanni; Hasanain, Maram; ... more authors ( Springer , 2020 , Conference Paper)
      We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in ...

    • Consequences of a Great Crisis on Chronic Diseases: How Childhood Exposures May Shape Future Health 

      Lee, J.J.; Shi, Z. ( John Wiley and Sons Inc , 2021 , Article)
      [No abstract available]

    • Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters 

      Rahman, T.; Khandakar, A.; Hoque, M.E.; Ibtehaz, N.; Kashem, S.B.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The coronavirus disease 2019 (COVID-19) after outbreaking in Wuhan increasingly spread throughout the world. Fast, reliable, and easily accessible clinical assessment of the severity of the disease can help in allocating ...

    • Dynamic ensemble deep echo state network for significant wave height forecasting 

      Gao, Ruobin; Li, Ruilin; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam; Yuen, Kum Fai ( Elsevier Ltd , 2023 , Article)
      Forecasts of the wave heights can assist in the data-driven control of wave energy systems. However, the dynamic properties and extreme fluctuations of the historical observations pose challenges to the construction of ...

    • Editorial: Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC) 

      Tomar, A.; Malik, H.; Kumr, P.; Iqbal, A. ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization ...

    • Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021 

      Dana, Bryazka; Reitsma, Marissa B; Abate, Yohannes Habtegiorgis; Abd Al Magied, Abdallah H A; Abdelkader, Atef; ... more authors ( Elsevier , 2024 , Article)
      BackgroundSmoking is the leading behavioural risk factor for mortality globally, accounting for more than 175 million deaths and nearly 4·30 billion years of life lost (YLLs) from 1990 to 2021. The pace of decline in smoking ...

    • Forecasting the health of gas turbine components through an integrated performance-based approach 

      Tsoutsanis, E.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      In this study, we present an integrated method for detecting and forecasting the health of gas turbine components as degraded over time. An advanced model-based real time performance adaptation approach is developed for ...