Search Results - "2020 International Symposium on Electronics and Telecommunications (ISETC)"

P-Swish: Activation Function with Learnable Parameters Based on Swish Activation Function in Deep Learning by Mercioni, Marina Adriana, Holban, Stefan

“…In order to improve the performance of a deep neural network, the activation function is an important aspect that we must research continuously, that is why we…”
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IoT Based Intelligent Building Applications in the Context of COVID-19 Pandemic by STOLOJESCU-CRISAN, Cristina, BUTUNOI, Bogdan-Petru, CRISAN, Calin

“…COVID-19 (Coronavirus) has affected our day to day life and the global economy and is far from being over. COVID-19 continues to spread rapidly around the…”
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Dynamic Spectrum Sharing for LTE-NR Downlink MIMO Systems by Barb, Gordana, Otesteanu, Marius, Roman, Marius

“…5G is the next mobile generation, already being deployed in some countries. It is expected to revolutionize our society, having extremely high target…”
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End-to-End Computer Vision Framework by Orhei, Ciprian, Mocofan, Muguras, Vert, Silviu, Vasiu, Radu

“…Computer Vision is a cross research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. In…”
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Deep Learning based Eye Gaze Tracking for Automotive Applications: An Auto-Keras Approach by Bublea, Adrian, Caleanu, Catalin Daniel

“…We propose a deep neural network-based gaze sensing method in which the design of the neural architecture is performed automatically, through a network…”
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Containerized Application for IoT Devices: Comparison between balenaCloud and Amazon Web Services Approaches by Botez, Robert, Strautiu, Vlad, Ivanciu, Iustin-Alexandru, Dobrota, Virgil

“…Depending on the requirements, the deployment of containerized applications for monitoring Internet of Things devices can be done in Cloud or on the Edge. This…”
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Analyzing parking lots vacancy detection algorithms using Mask R-CNN implementations by Vilceanu, Razvan, Onita, Mihai, Ternauciuc, Andrei

“…Parking is a very common problem that the modern society is facing nowadays. Numerous countries are working to manage their current transportation systems and…”
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Integrating Service Robots into Everyday Life Based on Audio Capabilities by Telembici, Toma, Grama, Lacrimioara, Rusu, Corneliu

“…This paper presents a way in which TIAGo, a service robot from Pal Robotics, could be integrated in everyday life, based on his audio capabilities. We show…”
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Image encryption algorithm using wavelet packets and multiple chaotic maps by Macovei, Corina, Raducanu, Mircea, Datcu, Octaviana

“…This paper presents an improved image encryption algorithm using Haar wavelet packets decomposition and four chaotic maps. For the wavelet packets scrambling…”
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IoT Applications based on MQTT Protocol by Salagean, Maria, Zinca, Daniel

“…This paper presents two different approaches for implementing IoT applications, using the MQTT protocol. The paradigm is discussed from a security point of…”
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EMC Simulation of an Automotive Ethernet Interface by Silaghi, Andrei-Marius, Sabata, Aldo De

“…A case study concerning application of full-wave electromagnetic (EM) simulation for identifying issues that usually appear at an Ethernet interface from an…”
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Security threats in IoT by Georgiana Dorobantu, Octavia, Halunga, Simona

“…The Internet of Things (IoT) is a massive group of devices connected over wired or wireless networks. IoT aims to provide advanced and intelligent services but…”
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LMS Algorithms for Multilinear Forms by Dogariu, Laura-Maria, Paleologu, Constantin, Benesty, Jacob, Oprea, Cristina, Ciochina, Silviu

“…Solving a high-dimension system identification problem could involve significant challenges in terms of complexity and accuracy of the solution. Due to the…”
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TeLU: A New Activation Function for Deep Learning by Adriana Mercioni, Marina, Holban, Stefan

“…In this paper we proposed two novel activation functions, which we called them TeLU and TeLU learnable. These proposals are a combination of ReLU (Rectified…”
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Aspects of Time Series Analysis with Entropies and Complexity Measures by Aiordachioaie, Dorel, Popescu, Theodor D.

“…This exploratory work looks on time series complexity, for direct applications in change detection of the structure and properties of the signals. The…”
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Head Gesture Recognition based on 6DOF Inertial sensor using Artificial Neural Network by Severin, Ionut-Cristian, Dobrea, Dan-Marius

“…This paper proposed and investigated the head gesture recognition idea based on a single inertial sensor and deep learning approach. During the experiments…”
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A New Step-Up Converter With Coupled Inductor by Jude, Gabriela-Madalina, Pop-Calimanu, Ioana-Monica, Renken, Folker

“…The paper proposes a new step-up converter with coupled inductor, one active switch and three diodes that work as a Boost converter. Compared to the classical…”
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Structuring, Controlling and Protecting the DC Grid by van Duijsen, Peter J., Zuidervliet, Diego C.

“…The structure of a DC grid enables control and protection in a different way, as usually employed in AC grids. Power electronic converters combine the control…”
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Modelling an OPC UA client application for predictive maintenance support by Chiorean, Ligia-D., Vaida, Mircea-F., Hedesiu, Horia

“…Predictive maintenance is a very important task for each industrial plant. The concept of Industry 4.0 can ensure this service, offering a clever combination…”
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ARM Embedded Low Cost Solution for Implementing Deep Learning Paradigms by Lucan Orasan, Ioan, Daniel Caleanu, Catalin

“…Deep neural networks have become a topic of great interest to scientific research groups due to their applicability in a wide range of fields. Advanced…”
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