10 articles in this issue
(1) Ryotaro Kamimura (Kumamoto Drone Technology and Development Foundation; IT Education Center, Tokai Univerisity, Japan)
The present paper aims to propose a new type of information-theoretic method to interpret the inference mechanism of neural networks. We interpret the internal inference mechanism for itself without any external methods such as symbolic or fuzzy rules. In... see more
(1) Anton Louise Pernez De Ocampo (Batangas State University, Philippines) (2) Elmer Dadios (De La Salle University, Philippines)
In aerial images, human figures are often rendered at low resolution and in relatively small sizes compared to other objects in the scene, or resemble likelihood to other non-human objects. The localization of trust regions for possible containment of the... see more
(1) Wan Noor Afifah Wan Ahmad (Universiti Tun Hussein Onn Malaysia, Malaysia) (2) Suliadi Firdaus Sufahani (Universiti Tun Hussein Onn Malaysia, Malaysia) (3) Alan Zinober (University of Sheffield, United Kingdom) (4) Azila M Sudin (Universiti Tun Hussein Onn Malaysia, Malaysia) (5) Muhaimin Ismoen (Universiti Teknologi Brunei, Brunei Darussalam) (6) Norafiz Maselan (Universiti Teknologi Malaysia, Malaysia) (7) Naufal Ishartono (Universitas Muhammadiyah Surakarta, Indonesia)
This paper's focal point is on the nonstandard Optimal Control (OC) problem. In this matter, the value of the final state variable, y(T) is said to be unknown. Moreover, the Lagrangian integrand in the function is in the form of a piecewise constant integ... see more
(1) Pande Nyoman Ariyuda Semadi (Universitas Gadjah Mada, Indonesia) (2) Reza Pulungan (Universitas Gadjah Mada, Indonesia)
Learning Vector Quantization (LVQ) is a supervised learning algorithm commonly used for statistical classification and pattern recognition. The competitive layer in LVQ studies the input vectors and classifies them into the correct classes. The amount of ... see more
(1) Kyle Matthew Chan Chua (Computer Technology Department, College of Computer Studies, De La Salle University, Philippines) (2) Janz Aeinstein Fauni Villamayor (Computer Technology Department, College of Computer Studies, De La Salle University, Philippines) (3) Lorenzo Campos Bautista (Computer Technology Department, College of Computer Studies, De La Salle University, Philippines) (4) Roger Luis Uy (Computer Technology Department, College of Computer Studies, De La Salle University, Philippines)
The Advanced Vector Extensions 2 (AVX2) instruction set architecture was introduced by Intel’s Haswell microarchitecture that features improved processing power, wider vector registers, and a rich instruction set. This study presents an implementation of ... see more
(1) Shin-ichi Ito (Tokushima University, Japan) (2) Momoyo Ito (Tokushima University, Japan) (3) Minoru Fukumi (Tokushima University, Japan)
This paper proposes a method to classify words in Japanese Sign Language (JSL). This approach employs a combined gathered image generation technique and a neural network with convolutional and pooling layers (CNNs). The gathered image generation generates... see more
(1) Tessy Badriyah (Politeknik Elektronika Negeri Surabaya (PENS), Indonesia) (2) Dimas Bagus Santoso (Politeknik Elektronika Negeri Surabaya (PENS), Indonesia) (3) Iwan Syarif (Politeknik Elektronika Negeri Surabaya (PENS), Indonesia) (4) Daisy Rahmania Syarif (University of Cologne, Germany)
Stroke may cause death for anyone, including youngsters. One of the early stroke detection techniques is a Computerized Tomography (CT) scan. This research aimed to optimize hyperparameter in Deep Learning, Random Search and Bayesian Optimization for dete... see more
(1) Muthana Hachim Hamd (Computer Engineering Department, Al-Mustansiriyah University, Iraq)
This research aimed at comparing iris-signature techniques, namely the Sequential Technique (ST) and the Standard Deviation Technique (SDT). Both techniques were measured by Backpropagation (BP), Probabilistic, Radial basis function (RBF), and Euclidian d... see more
(1) Mohammad Yazdi Pusadan (Department of Informatics, Institut Teknologi Sepuluh Nopember; Department of Informatics, Universitas Tadulako, Indonesia) (2) Joko Lianto Buliali (Department of Informatics, Institut Teknologi Sepuluh Nopember, Indonesia) (3) Raden Venantius Hari Ginardi (Department of Informatics, Institut Teknologi Sepuluh Nopember, Indonesia)
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(1) Filippo Galli (TeCIP Institute, Scuola Superiore Sant’Anna, via Moruzzi 1, Italy) (2) Marco Vannucci (TeCIP Institute, Scuola Superiore Sant’Anna, via Moruzzi 1, Italy) (3) Valentina Colla (TeCIP Institute, Scuola Superiore Sant’Anna, via Moruzzi 1, Italy)
Classification of imbalanced datasets is a critical problem in numerous contexts. In these applications, standard methods are not able to satisfactorily detect rare patterns due to multiple factors that bias the classifiers toward the frequent class. This... see more