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Zahid Masood, Muhammad Usama, Shahroz Khan, Konstantinos Kostas and Panagiotis D. Kaklis
Generative models offer design diversity but tend to be computationally expensive, while non-generative models are computationally cost-effective but produce less diverse and often invalid designs. However, the limitations of non-generative models can be...
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Konstantinos V. Kostas and Maria Manousaridou
In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil?s aerodynamic or hydrodynamic performance given it...
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Ran Chen, Jing Zhao, Xueqi Yao, Sijia Jiang, Yingting He, Bei Bao, Xiaomin Luo, Shuhan Xu and Chenxi Wang
Generative Adversarial Networks (GANs) possess a significant ability to generate novel images that adhere to specific guidelines across multiple domains. GAN-assisted generative design is a design method that can automatically generate design schemes wit...
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Pedro Santana and José Moura
To handle the exponential growth of data-intensive network edge services and automatically solve new challenges in routing management, machine learning is steadily being incorporated into software-defined networking solutions. In this line, the article p...
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Antonis Manolis and Epaminondas Sidiropoulos
The optimal design of a looped water distribution system is a problem that is addressed frequently in the literature. Usually, the flow velocity in the pipes is not taken into account. Nevertheless, in real-life applications, there are velocity restricti...
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Diego Marazza, Simone Pesce, Nicolas Greggio, Francesco Primo Vaccari, Enrico Balugani and Alessandro Buscaroli
In this communication, a wide overview of historical Long-Term Experimental Platforms (LTEP) regarding changes in soil organic matter is presented for the purpose of networking, data sharing, experience sharing and the coordinated design of experiments i...
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Manon Ruffini, Jelena Vucinic, Simon de Givry, George Katsirelos, Sophie Barbe and Thomas Schiex
Proteins are the main active molecules of life. Although natural proteins play many roles, as enzymes or antibodies for example, there is a need to go beyond the repertoire of natural proteins to produce engineered proteins that precisely meet applicatio...
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Duy-Anh Nguyen, Xuan-Tu Tran and Francesca Iacopi
Deep Learning (DL) has contributed to the success of many applications in recent years. The applications range from simple ones such as recognizing tiny images or simple speech patterns to ones with a high level of complexity such as playing the game of ...
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Tomasz Janus, Mateusz Skomra and Marcin Dziubinski
Networks are beneficial to those being connected but can also be used as carriers of contagious hostile attacks. These attacks are often facilitated by exploiting corrupt network users. To protect against the attacks, users can resort to costly defense. ...
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Katsuba Yurii, Grigorieva Liudmila
Pág. 283 - 287
The article examines an approach to increasing the safety of a vehicle's design with the help of artificial neural networks (ANNs) integrated in the vehicle's self-diagnostic system. Solving this problem will require the vehicle's self-diagnostic system ...
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Janine Hacker,Nilmini Wickramasinghe,Carolin Durst
One of the serious concerns in healthcare in this 21st century is obesity. While the causes of obesity are multifaceted, social networks have been identified as one of the most important dimensions of people's social environment that may influence the ad...
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Alexander M. Morison and David D. Woods
Vehicles and platforms with multiple sensors connect people in multiple roles with different responsibilities to scenes of interest. For many of these human?sensor systems there are a variety of algorithms that transform, select, and filter the sensor da...
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Daniel Mora-Melia, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano and Pedro Muñoz-Velasco
This paper presents a modified Shuffled Frog Leaping Algorithm (SFLA) applied to the design of water distribution networks. Generally, one of the major disadvantages of the traditional SFLA is the high number of parameters that need to be calibrated for ...
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Daniel Mora-Melia, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano, Pedro Muñoz-Velasco
Pág. 1 - 14
This paper presents a modified Shuffled Frog Leaping Algorithm (SFLA) applied to the design of water distribution networks. Generally, one of the major disadvantages of the traditional SFLA is the high number of parameters that need to be calibrated for ...
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Zsuzsanna Ilona Kiss,Andrei Ciprian Hosu,Gabriel Lazar,Andrei Bogdan Rus,Virgil Dobrota,Zsolt Alfred Polgar
Pág. 195 - 205
Providing ubiquitous connectivity to the passengers of public transportation vehicles is an important goal of thecommunication system designers in the context of fast development of the intelligent transportation systems and of the Future Internet commun...
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Danilo Blasi,Luca Mainetti,Luigi Patrono,Maria Laura Stefanizzi
Pág. 157 - 169
The worldwide spreading of Internet, in combination with the development of new low power and low cost embedded devices, has enabled the so-called Internet of Things vision. Wireless Sensor Networks represent an invaluable resource for realizing such sce...
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Alfonso Bastias, Keith R. Molenaar
Pág. Page 5 - 20
The primary method of public sector project delivery in the United States (U.S.) has traditionally been design-bid-build delivery. The public sector has historically separated design and construction contracts. In the 1990s, the U.S. public sector began ...
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Alejandro Bastías Gajardo, Eder Padilla Villalobos, Rafael Ortega Burgos, Cristian Oliva San Martín
Este artículo presenta una heurística para resolver problemas del tipo p-median. La idea principal es la ejecución de un preproceso, cuyo objetivo es la reducción del número de variables del problema facilitando computacionalmente su resolución.Este pre-...
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Pengfei Zhao and Ze Liu
The three-dimensional (3D) reconstruction of Electromagnetic Tomography (EMT) is an important task for many applications, such as the non-destructive testing of inner defects in rail systems. Additionally, image reconstruction algorithms utilizing deep l...
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Rao Muzamal Liaqat, Philip Branch and Jason But
Linear networks (sometimes called chain-type networks) occur frequently in Internet of Things (IoT) applications, where sensors or actuators are deployed along pipelines, roads, railways, mines, and international borders. LoRa, short for Long Range, is a...
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