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Journal of Advances in Computer Engineering and Technology
ISSN 2423-4192 · Science and Research Branch,Islamic Azad University · 154 artikel di indeks
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An Optimization-based Learning Black Widow Optimization Algorithm for Text Psychology
In recent years, social networks' growth has led to an increase in these networks' content. Therefore, text mining methods became important. As part of text mining, Sentiment analysis means finding the author's perspective on a particular topic. Social networks allow users to express their opinions…
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Scalable Fuzzy Decision Tree Induction Using Fast Data Partitioning and Incremental Approach for Large Dataset
The decision tree is one of the popular methods for learning and reasoning through recursive partitioning of data space. To choose the best attribute in the case on numerical features, partitioning criteria should be calculated for individual values or the value range of each attribute should be…
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Energy-aware and Reliable Service Placement of IoT applications on Fog Computing Platforms by Utilizing Whale Optimization Algorithm
Fog computing is known as a new computing technology where it covers cloud computing shortcomings in term of delay. This is a potential for running IoT applications containing multiple services taking benefit of closeness to fog nodes near to devices where the data are sensed. This article…
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Intelligent Resource Allocation in Fog Computing: A Learning Automata Approach
Fog computing is being seen as a bridge between smart IoT devices and large scale cloud computing. It is possible to develop cloud computing services to network edge devices using Fog computing. As one of the most important services of the system, the resource allocation should always be available…
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A modified differential evolution algorithm with a balanced performance for Exploration and Exploitation phases
Recently, many optimization algorithms have been proposed to find the best solution for complex engineering problems. These algorithms can search unknown and multidimensional spaces and find the optimal solution the shortest possible time. In this paper we present a new modified differential…
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An Overview of the Concepts, Classifications, and Methods of Population Initialization in Metaheuristic Algorithms
Metaheuristic algorithms are typically population-based random search techniques. The general framework of a metaheuristic algorithm consisting of its main parts. The sections of a metaheuristic algorithm include setting algorithm parameters, population initialization, global search section, local…
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Design Software Failure Mode and Effect Analysis using Fuzzy TOPSIS Based on Fuzzy Entropy
One of the key pillars of any operating system is its proper software performance. Software failure can have dangerous effects and consequences and can lead to adverse and undesirable events in the design or use phases. The goal of this study is to identify and evaluate the most significant…
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A procedure for Web Service Selection Using WS-Policy Semantic Matching
In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar…
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Using a Neural Network instead of IKM in 2R Planar Robot to follow rectangular path
Abstract— An educational platform is presented here for the beginner students in the Simulation and Artificial Intelligence sciences. It provides with a start point of building and simulation of the manipulators, especially of 2R planar Robot. It also displays a method to replace the inverse…
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Reconstruction of contour lines during the digitization of contour maps to build a digital elevation model
Contour map has contour lines that are significant in building a Digital Elevation Model (DEM). During the digitization and pre-processing of contour maps, the contour line intersects with each other or break apart resulting in broken contour segments. These broken segments impose a greater risk…
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A Method for Measuring Energy Consumption in IaaS Cloud
The ability to measure the energy consumed by cloud infrastructure is a crucial step towards the development of energy efficiency policies in the cloud infrastructure. There are hardware-based and software-based methods of measuring energy usage in cloud infrastructure. However, most hardware-based…
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Detecting Bot Networks Based On HTTP And TLS Traffic Analysis
Abstract— Bot networks are a serious threat to cyber security, whose destructive behavior affects network performance directly. Detecting of infected HTTP communications is a big challenge because infected HTTP connections are clearly merged with other types of HTTP traffic. Cybercriminals prefer…
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Prediction of Student Learning Styles using Data Mining Techniques
This paper focuses on the prediction of student learning styles using data mining techniques within their institutions. This prediction was aimed at finding out how different learning styles are achieved within learning environments which are specifically influenced by already existing factors…
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An Effective Path-aware Approach for Keyword Search over Data Graphs
Abstract—Keyword Search is known as a user-friendly alternative for structured languages to retrieve information from graph-structured data. Efficient retrieving of relevant answers to a keyword query and effective ranking of these answers according to their relevance are two main challenges in the…
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A Detailed Exploration of Usability Statistics and Application Rating Based on Wireless Protocols
A Detailed Exploration of usability statistics and Application Rating on short-range Wireless protocols Bluetooth (IEEE 802.15.1), ZigBee (IEEE 802.15.4), Wi-Fi (IEEE 802.11) and NFC (ISO/IEC 14443) has been performed that being representing of those prominent wireless protocols evaluating their…
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An Optimization K-Modes Clustering Algorithm with Elephant Herding Optimization Algorithm for Crime Clustering
The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less time. Classification and clustering-based smart…
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Routing Hole Handling Techniques for Wireless Sensor Networks: A Review
A Wireless Sensor Network consists of several tiny devices which have the capability to sense and compute the environmental phenomenon. These sensor nodes are deployed in remote areas without any physical protections. A Wireless Sensor Network can have various types of anomalies due to some random…
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An Improved Bat Algorithm based on Whale Optimization Algorithm for Data Clustering
Clustering is a method of data analysis and one of the important methods in data mining that has been considered by researchers in many fields as well as in many disciplines. In this paper, we propose combining WOA with BA for data clustering. To assess the efficiency of the proposed method, it has…
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An Improved Bat Algorithm with Grey Wolf Optimizer for Solving Continuous Optimization Problems
Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of…
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An Improved Junction-Based Directional Routing Protocol (IJDRP) for VANETs
Vehicular Ad-Hoc Networks (VANETs) is a novel technology that has recently emerged and due to its swift changing topology and high mobility nature, it has become problematic to design an efficient routing protocol in VANETs’ amongst both moving and stationary units. Also, the existing routing…