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Raquel Hijón-Neira, Cornelia Connolly, Celeste Pizarro and Diana Pérez-Marín
There is a growing interest in finding new ways to address the difficult task of introducing programming to secondary students for the first time to improve students? computational thinking (CT) skills. Therefore, extensive research is required in this f...
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Masoomeh Mirrashid, Hosein Naderpour, Denise-Penelope N. Kontoni, Anna Jakubczyk-Galczynska, Robert Jankowski and Tan N. Nguyen
This article presents a novel approach to estimate the flexural capacity of reinforced concrete-filled composite plate shear walls using an optimized computational intelligence model. The proposed model was developed and validated based on 47 laboratory ...
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Filippo Poltronieri, Cesare Stefanelli, Mauro Tortonesi and Mattia Zaccarini
Modern computing environments, thanks to the advent of enabling technologies such as Multi-access Edge Computing (MEC), effectively represent a Cloud Continuum, a capillary network of computing resources that extend from the Edge of the network to the Cl...
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Eatedal Alabdulkreem, Jaber S. Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk and Anwer Mustafa Hilal
Presently, autonomous systems have gained considerable attention in several fields such as transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure the safe operations of the autonomous system before launching it to t...
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Raymundo Díaz, Efrain Solares, Victor de-León-Gómez and Francisco G. Salas
Stock portfolio management consists of defining how some investment resources should be allocated to a set of stocks. It is an important component in the functioning of modern societies throughout the world. However, it faces important theoretical and pr...
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Shirin Dora and Nikola Kasabov
Deep neural networks with rate-based neurons have exhibited tremendous progress in the last decade. However, the same level of progress has not been observed in research on spiking neural networks (SNN), despite their capability to handle temporal data, ...
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Juan Chavat, Sergio Nesmachnow, Andrei Tchernykh and Vladimir Shepelev
This article presents a system for detecting pedestrian movement patterns in urban environments, by applying computational intelligence methods for image processing and pattern detection. The proposed system is capable of processing multiple images and v...
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Irawan Dwi Wahyono,Djoko Saryono,Khoirudin Asfani,Muhammad Ashar,Sunarti Sunarti
Pág. pp. 29 - 40
Computer network security has become an important issue in recent decades, the government and several international organizations have invested in professional education and training for computer network security. In addition, with the increasing inciden...
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Ângelo de Carvalho Paulino, Lamartine Nogueira Frutuoso Guimarães, Dr., Elcio Hideiti Shiguemori, Dr.
Pág. 162 - 195
Nowadays, there is a remarkable world trend in employing UAVs and drones for diverse applications. The main reasons are that they may cost fractions of manned aircraft and avoid the exposure of human lives to risks. Nevertheless, they depend on positioni...
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Emelia Opoku Aboagye and Rajesh Kumar
We approach scalability and cold start problems of collaborative recommendation in this paper. An intelligent hybrid filtering framework that maximizes feature engineering and solves cold start problem for personalized recommendation based on deep learni...
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André Mora, Tiago M. A. Santos, Szymon Lukasik, João M. N. Silva, António J. Falcão, José M. Fonseca and Rita A. Ribeiro
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Sergio Orts-Escolano, Jose Garcia-Rodriguez, Vicente Morell, Miguel Cazorla, Jorge Azorin and Juan Manuel Garcia-Chamizo
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John Fulcher
The focus of this paper is twofold: firstly we make a case for the use of Computational Intelligence (CI) techniques in the modelling and/or prediction of global weather, CO2 emissions, climate change and similar endeavours. CI exploits processes found i...
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Octavio José Salcedo Parra, Héctor Cristyan Manta Caro, Lilia Edith Aparicio Pico
Pág. 4 - 14
AbstractDownloadsReferencesHow to Cite
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Dimitris Mpouziotas, Jeries Besharat, Ioannis G. Tsoulos and Chrysostomos Stylios
AliAmvra is a project developed to explore and promote high-quality catches of the Amvrakikos Gulf (GP) to Artas? wider regions. In addition, this project aimed to implement an integrated plan of action to form a business identity with high added value a...
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Aleksei Vakhnin and Evgenii Sopov
Unconstrained continuous large-scale global optimization (LSGO) is still a challenging task for a wide range of modern metaheuristic approaches. A cooperative coevolution approach is a good tool for increasing the performance of an evolutionary algorithm...
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Ruifeng Luo, Yifan Wang, Weifang Xiao and Xianzhong Zhao
Truss layout optimization under complex constraints has been a hot and challenging problem for decades that aims to find the optimal node locations, connection topology between nodes, and cross-sectional areas of connecting bars. Monte Carlo Tree Search ...
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Aleksei Vakhnin and Evgenii Sopov
Modern real-valued optimization problems are complex and high-dimensional, and they are known as ?large-scale global optimization (LSGO)? problems. Classic evolutionary algorithms (EAs) perform poorly on this class of problems because of the curse of dim...
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Nazeeh Ghatasheh, Hossam Faris, Ismail AlTaharwa, Yousra Harb and Ayman Harb
This study attempts to mitigate the effects of highly imbalanced data in realizing an enhanced cost-sensitive prediction model. The model intends to enable telemarketing decision makers in the banking industry to have more insights on their marketing eff...
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Ja-Hwung Su, Yi-Wen Liao and Liang-Ni Chen
This work has already been implemented in the course selection system of the Department of Information Management at Cheng Shiu University, Taiwan.
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