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Muhammad Nadeem, Henry Shen, Lincoln Choy and Julien Moussa H. Barakat
Growing obesity has been a worldwide issue for several decades. This is the outcome of common nutritional disorders which results in obese individuals who are prone to many diseases. Managing diet while simultaneously dealing with the obligations of a wo...
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Thomas P. Oghalai, Ryan Long, Wihan Kim, Brian E. Applegate and John S. Oghalai
Optical Coherence Tomography (OCT) is a light-based imaging modality that is used widely in the diagnosis and management of eye disease, and it is starting to become used to evaluate for ear disease. However, manual image analysis to interpret the anatom...
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Nicholas James, Lee-Yeng Ong and Meng-Chew Leow
Raspberry Pi (Pi) is a versatile general-purpose embedded computing device that can be used for both machine learning (ML) and deep learning (DL) inference applications such as face detection. This study trials the use of a Pi Spark cluster for distribut...
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Lin-Huang Chang, Tsung-Han Lee, Hung-Chi Chu, Cheng-Wei Su
Pág. 216 - 229
The traffic classification based on the network applications is one important issue for network management. In this paper, we propose an application-based online and offline traffic classification, based on deep learning mechanisms, over software-defined...
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Imen Chebbi, Nedra Mellouli, Imed Riadh Farah and Myriam Lamolle
Big data analysis assumes a significant role in Earth observation using remote sensing images, since the explosion of data images from multiple sensors is used in several fields. The traditional data analysis techniques have different limitations on stor...
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Mohamed Yusuf Hassan and Hasan Arman
Determination of rock tensile strength (TS) is an important task, especially during the initial design stage of engineering applications such as tunneling, slope stability, and foundation. Owing to its simplicity, the Brazilian tensile strength (BTS) tes...
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Sukriti Bhattacharya, Christian Braun and Ulrich Leopold
Urbanization is leading us to a more chaotic state where healthy living becomes a prime concern. The high-rise buildings influence the urban setting with a high shadow rate on surroundings that can have no positive impact on the general neighborhood. Nev...
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Jia-Shing Sheu, Chen-Yin Han
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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Jia-Shing Sheu, Chen-Yin Han
Pág. 10 - 17
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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Rómulo Antão, José Antunes, Alexandre Mota and Rui Escadas Martins
The present paper proposes an approach for the development of a non-linear model-based predictive controller (NMPC) using a non-linear process model based on Artificial Neural Networks (ANNs). This work exploits recent trends on ANN literature using a Te...
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?imon Grác, Peter Beno, Franti?ek Duchon, Martin Dekan and Michal Tölgyessy
The objective of this article is to propose and verify a reliable detection mechanism of multi-rotor unmanned aerial vehicles (UAVs). Such a task needs to be solved in many areas such as in the protection of vulnerable buildings or in the protection of p...
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Amany Al Luhaybi, Fahad Alqurashi, Georgios Tsaramirsis and Seyed M. Buhari
Although olfaction can enhance the user?s experience in virtual environments, the approach is not widely utilized by virtual contents. This is because the olfaction displays are either not aware of the content in the virtual world or they are application...
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Shanshan Han, Fu Ren, Chao Wu, Ying Chen, Qingyun Du and Xinyue Ye
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Muhammad Ali Shafique, Arslan Munir and Joonho Kong
Deep learning is employed in many applications, such as computer vision, natural language processing, robotics, and recommender systems. Large and complex neural networks lead to high accuracy; however, they adversely affect many aspects of deep learning...
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Nikolaos Schizas, Aristeidis Karras, Christos Karras and Spyros Sioutas
The rapid emergence of low-power embedded devices and modern machine learning (ML) algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks such as TinyML have created new opportunities for ML algorithms running within ed...
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Joongjin Shin, Seokheum Baek and Youngwoo Rhee
In this study, a metamodel of an optimal arrangement of wind turbines was developed to maximize the energy produced by minimizing the energy loss due to wakes in a limited space when designing a wind farm. Metamodeling or surrogate modeling techniques ar...
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Nasir Jamal, Chen Xianqiao and Hamza Aldabbas
Emotions detection in social media is very effective to measure the mood of people about a specific topic, news, or product. It has a wide range of applications, including identifying psychological conditions such as anxiety or depression in users. Howev...
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Oscar Herrera-Alcántara
In this paper, fractional calculus principles are considered to implement fractional derivative gradient optimizers for the Tensorflow backend. The performance of these fractional derivative optimizers is compared with that of other well-known ones. Our ...
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Javensius Sembiring, Rianto Adhy Sasongko, Eduardo I. Bastian, Bayu Aji Raditya and Rayhan Ekananto Limansubroto
This paper investigates the development of a deep learning-based flight control model for a tilt-rotor unmanned aerial vehicle, focusing on altitude, speed, and roll hold systems. Training data is gathered from the X-Plane flight simulator, employing a p...
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Zaid Abdulhamid Alhulaybi, Muhammad Ali Martuza and Sayeed Rushd
Polylactic acid (PLA), the second most produced biopolymer, was selected for the fabrication of mixed-matrix membranes (MMMs) via the incorporation of HKUST-1 metal?organic framework (MOF) particles into a PLA matrix with the aim of improving mechanical ...
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