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The enthusiasm of East Java Governor Election 2018 is also felt in the virtual world especially Twitter. All people freely argue about their respective governor candidates, memorandum raises many opinions, not only positive or neutral... more
The East Java Governor Election 2018 is also felt in the virtual world especially Twitter. All people freely argue about their respective governor candidates, memorandum raises many opinions, not only positive or neutral also negative... more
The folktale is a kind of story that has some good points, such as developing a sense of story and shaping up positive attitudes towards children. However, people seem to abandon those good points and often give the children smartphones... more
In order to secure data through broadcast in excess of set of connections, secure data accumulated on cloud proposals and mobile devices, enable protected message during certificate authority (CT) based trusted third party environment... more
Hematology tests are examinations that aim to know the state of blood and its components, one of which is leukocytes. Hematologic examinations such as the number and morphology of blood generally still done manually, especially by a... more
Many features can be extracted from the massive volume of data in different types that are available nowadays on social media. The growing demand for multimedia applications was an essential factor in this regard, particularly in the case... more
Cardiovascular disease (CVD) remains one of the leading causes of death globally, underscoring the need for effective early risk prediction. This systematic literature review analyzes research published between 2013 and 2023 on the... more
In genetic algorithms, the selection of individuals that will be part of future generations is a critical process of the algorithm. Various strategies exist to select these individuals: the general approach and the elitist approach. The... more
Message encoding is an art and science to maintain news or data, learn mathematical techniques related to aspects of information security such as data confidentiality, data validity, data integrity, and data authentication. The process of... more
Cloud computing is an innovative proficiency in the field of information and expertise. It provides so many things in terms of "As-A-Service" basis. Cloud Computing is the long-fantasized visualization of computing as a utility, where... more
This study developed a model to classify attacks in a digital economy system using Random Forest and support vector machine. The Rational Unified process research methodology was used to develop the model. It was implemented using the... more
In the Wireless sensor networks having of multi-hop transmission in the Adhoc networks. These Adhoc networks having advantages of limited bandwidth and mobility which is more useful for the changing of and usage of various protocols, so... more
Today the wireless sensor networks (WSN) play a crucial role in wireless technology in various domains like military, medicine, communications etc. The energy conservation is the crucial factor in the WSN. The WSN is a system which has... more
În acest articol ne-am propus să realizăm recunoaşterea formelor geometrice: dreptunghi şi elipsă, plecând de la un număr de puncte dat de pe conturul acestora prin folosirea algoritmului "one step secant" în cazul reţelelor neurale.... more
This study addresses the critical gap in short-term electricity demand forecasting in South Sulawesi, where inconsistencies between projected and actual peak loads hinder daily operational planning, system stability, and investment... more
This paper introduces a speech corpus which is developed for Myanmar Automatic Speech Recognition (ASR) research. Automatic Speech Recognition (ASR) research has been conducted by the researchers around the world to improve their language... more
The assessment model of coronary heart disease is so much developed in line with the development of information technology, particularly the field of artificial intelligence. Unfortunately, the assessment models developed mostly do not... more
Improved system performance diagnosis of coronary heart disease becomes an important topic in research for several decades. One improvement would be done by features selection, so only the attributes that influence is used in the... more
k - Nearest Neighbor Rule is a well-known technique for text classification. The reason behind this is its simplicity, effectiveness, easily modifiable. In this paper, we briefly discuss text classification, k-NN algorithm and analyse the... more
Mobile Ad-Hoc Networks (MANETs) are supreme ruler and demoralization wireless scheme. MANETs are infrastructure less i.e. their structure is not fixed, and the nodes be able to move about and can leave the network whenever they want. The... more
In the presence of the deregulated electric industry, load forecasting is more demanded than ever to ensure the execution of applications such as energy generation, pricing decisions, resource procurement, and infrastructure development.... more
This paper discusses an approach to generate test data for path coverage based testing using Genetic Algorithms, Differential Evolution and Artificial Bee Colony optimization algorithms. Control flow graph and cyclomatic complexity of the... more
The main objective of this paper is to provide a state-of-the-art review, analyze and discuss stochastic local search techniques used for solving hard combinatorial problems. It begins with a short introduction, motivation and some basic... more
Despite the popularity of the Massive Open Online Courses, small-scale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our... more
Firewall logs play a vital role in cybersecurity by recording network traffic and flagging potential threats. This study evaluates five machine learning algorithms-decision tree (DT), random forest (RF), extra trees (ET), CatBoost (CB),... more
Face recognition and gender classification are vital topics in the field of computer graphic and pattern recognition. We utilized ideas from two growing ideas in computer vision, which are biological landmarks and quasi-landmarks (dense... more
Medical images magnetic resonance imaging (MRI) analysis is a very challenging domain especially in the segmentation process for predicting tumefactions with high accuracy. Although deep learning techniques achieve remarkable success in... more
When using wireless sensor networks for real-time data transmission, some critical points should be considered. Restricted computational power, memory limitations, narrow bandwidth and energy supplied present strong limits in sensor... more
Suicide-related behaviours need to be prevented on psychiatric patients. Prediction of those behaviours based on patient medical records would be very useful for the prevention by the psychiatric hospital. This research focused on... more
The rainfall conditions across wide geographical location and varied topographic conditions of India throw challenge to researchers and scientists in predicting rainfall effectively. India is Agriculture based country and it mainly... more
A short but comprehensive review of Retinex has been presented in this paper. Retinex theory aims to explain human color perception. In addition, its derivation on modifying the reflectance components has introduced effective approaches... more
Abstrak— Penyajian informasi jadwal praktek dokter dan poli pada Rumah Sakit Sultan Iskandar Muda Nagan Raya selama ini masih belum terpublikasi dengan bauk kepada masyarakat. Untuk mengetahui jadwal dokter dan poli masyarakat... more
This paper deals with the study of Independent Component Analysis. Independent Component Analysis is basically a method which is used to implement the concept of Blind Source Separation. Blind Source Separation is a technique which is... more
Image segmentation is a challenging process in numerous applications. Region growing is one of the segmentation techniques as a basis for the Seeded Region Growing method. A novel real time integrated method was developed in the current... more
Automated essay scoring (AES) is the task of automatically assigning scores to essays as an alternative to grading by human raters. Conventional AES typically relies on handcrafted features, whereas recent studies have proposed AES models... more
This work deals with the modeling of a computer system dedicated to e-procurement specifically e-tendering. For the establishment of this system, semantic web ontologies, multi-agent systems and big data were used. To have a modular... more
In this paper, we employed Naïve Bayes, Augmented Naïve Bayes, Tree Augmented Naïve Bayes, Sons & Spouses, Markov Blanket, Augmented Markov Blanket, Semi Supervised and Bayesian network techniques to rank web services. The Bayesian... more
Virtual Reality (VR) applications bring the real world scenes into the virtual world by describing the scenes in a three dimensional space. Users' immersion depends on the quality of the virtual scenes produced. The framework proposed... more
Food integrity and food safety have received much attention in recent years due to the dramatic increasing number of food frauds. In this article we analyze dairy products for which one of the crucial issues is traditional cheese... more
Food integrity and food safety have received much attention in recent years due to the dramatic increasing number of food frauds. In this article we focus on the problem of dairy products traceability. In particular, we propose an... more