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Juliana Mendes and Rodrigo Maia
This paper describes the process of analysis and verification of ensemble inflow forecasts to the multi-purpose reservoir of Aguieira, located in the Mondego River, in the center of Portugal. This process was performed to select and validate the referenc...
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Rubayyi Alghamdi and Martine Bellaiche
Using the Internet of Things (IoT) for various applications, such as home and wearables devices, network applications, and even self-driven vehicles, detecting abnormal traffic is one of the problematic areas for researchers to protect network infrastruc...
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Amin Minaei, Sara Todeschini, Robert Sitzenfrei and Enrico Creaco
Climate change increasingly is affecting every aspect of human life on the earth. Many regional climate models (RCMs) have so far been developed to carefully assess this important phenomenon on specific regions. In this study, ten RCMs captured from the ...
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Arne Vogler and Florian Ziel
The present paper considers the problem of choosing among a collection of competing electricity price forecasting models to address a stochastic decision-making problem. We propose an event-based evaluation framework applicable to any optimization proble...
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Ernest Kwame Ampomah, Zhiguang Qin and Gabriel Nyame
Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces t...
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Jeffrey D. Auger, Sean D. Birkel, Kirk A. Maasch, Paul A. Mayewski and Keah C. Schuenemann
We have produced a global ensemble mean of the four third-generation climate reanalysis models for the years 1981–2010. The reanalysis system models used in this study are National Centers for Environmental Prediction (NCEP) Climate Forecast System...
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Dale MacKrell,Craig McDonald
This paper investigates the integration of content, context and process (CCP) into the Action Design Research (ADR) framework to account for the interplay of organisational issues in artefact design and development. The investigation is conducted through...
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Sabrina Hempel, Julian Adolphs, Niels Landwehr, Dilya Willink, David Janke and Thomas Amon
A reliable quantification of greenhouse gas emissions is a basis for the development of adequate mitigation measures. Protocols for emission measurements and data analysis approaches to extrapolate to accurate annual emission values are a substantial pre...
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Hua Peng, Jinghao Hu, Haitao Wang, Hui Ren, Cong Sun, Huosheng Hu and Jing Li
Imitation of human behaviors is one of the effective ways to develop artificial intelligence. Human dancers, standing in front of a mirror, always achieve autonomous aesthetics evaluation on their own dance motions, which are observed from the mirror. Me...
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Alvaro Semedo, Mikhail Dobrynin, Gil Lemos, Arno Behrens, Joanna Staneva, Hylke De Vries, Andreas Sterl, Jean-Raymond Bidlot, Pedro M. A. Miranda and Jens Murawski
A Coupled Model Intercomparison Project Phase 5 (CMIP5)-derived single-forcing, single-model, and single-scenario dynamic wind-wave climate ensemble is presented, and its historic period (1979?2005) performance in representing the present wave climate is...
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Alvaro Semedo, Mikhail Dobrynin, Gil Lemos, Arno Behrens, Joanna Staneva, Hylke De Vries, Andreas Sterl, Jean-Raymond Bidlot, Pedro M. A. Miranda and Jens Murawski
A Coupled Model Intercomparison Project Phase 5 (CMIP5)-derived single-forcing, single-model, and single-scenario dynamic wind-wave climate ensemble is presented, and its historic period (1979–2005) performance in representing the present wave clim...
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Alvaro Semedo, Mikhail Dobrynin, Gil Lemos, Arno Behrens, Joanna Staneva, Hylke De Vries, Andreas Sterl, Jean-Raymond Bidlot, Pedro M. A. Miranda and Jens Murawski
A Coupled Model Intercomparison Project Phase 5 (CMIP5)-derived single-forcing, single-model, and single-scenario dynamic wind-wave climate ensemble is presented, and its historic period (1979–2005) performance in representing the present wave clim...
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Yassine Charabi,Sultan Al-Yahyai
Pág. 261 - 269
This paper evaluates the use of ensemble numerical weather prediction (NWP) models for dynamical downscaling of temperature over a complex, hot region. This approach delivers information about the uncertainty of the NWP models and provides probabilistic ...
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Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met...
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Jiayue Gu, Shuguang Liu, Zhengzheng Zhou, Sergey R. Chalov and Qi Zhuang
The prediction of monthly rainfall is greatly beneficial for water resources management and flood control projects. Machine learning (ML) techniques, as an increasingly popular approach, have been applied in diverse climatic regions, showing their respec...
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Falah Amer Abdulazeez, Ismail Taha Ahmed and Baraa Tareq Hammad
A significant quantity of malware is created on purpose every day. Users of smartphones and computer networks now mostly worry about malware. These days, malware detection is a major concern in the cybersecurity area. Several factors can impact malware d...
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Shuai Wang, Xiaodong Zhao, Wenhang Liu, Jianqiang Du, Dongxu Zhao and Zhihong Yu
During the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield...
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Vito Renò, Ettore Stella, Cosimo Patruno, Alessandro Capurso, Giovanni Dimauro and Rosalia Maglietta
Assessment is a fundamental part of teaching and learning. With the advent of online learning platforms, the concept of assessment has changed. In the classical teaching methodology, the assessment is performed by an assessor, while in an online learning...
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Nataliya Shakhovska and Pavlo Pukach
This paper focuses on different types of backbone networks for machine learning architectures which perform classification of knee Magnetic Resonance Imaging (MRI) images. This paper aims to compare different types of feature extraction networks for the ...
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Roberto Vettor, Giovanni Bergamini and C. Guedes Soares
This work aims at defining in a probabilistic manner objectives and constraints typically considered in route optimization systems. Information about weather-related uncertainties is introduced by adopting ensemble forecast results. Classical reliability...
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