International Journal of Machine Learning and Computing (IJMLC) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning and computing. The focus is to publish papers on state-of-the-art machine learning and computing. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers.
All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.
Important Notice: IJMLC will only accept new submissions through online submission system.
Abstract—The aim of this study is to map the tuna fishing zones based on the daily fish catch data from the Hindian Ocean. With the study, it is expected to deliver a potential tuna fishing zones mapping, where it is based on [Click]
Abstract—The Malaysian food composition ontology (MyFCO) models a dietitian’s knowledge in designing dietary menu planning. Ontology Development 101 is the method of ontology modeling. The objective of this paper was to share the experience [Click]
Abstract—This paper employed the famous ARIMA(p,d,q) model in forecasting Philippines’ electric consumption for the years 2018 to 2022 using the univariate historical data of the country’s power statistics in megawatt-hour from 2003-2017. [Click]
Abstract—Attempt has been made to create a Water Quality Index (WQI) based on artificial neural network (ANN) and globally accepted parameters. Several methods to measure WQI are available in the research and ambiguity problems exist where [Click]
Abstract—In recent years, there are widely used online stores on the Internet which have customer review facilities. Although these reviews help users decide their actions, there are incredible, fake or irresponsible reviews in general. [Click]
Abstract—Monotonic estimation for the survival probability of a loan in a risk-rated portfolio is based on the observation arising, for example, from loan pricing that a loan with a lower credit risk rating is more likely to survive than a loan [Click]
Abstract—Closed-Circuit Television (CCTV) cameras are placed everywhere in both public and private areas and used in a broad range of applications, especially for security purposes. CCTVs are managed by CCTV operators for twenty-four hours to [Click]
Abstract—Recent advancements in deep learning (DL) frameworks based on deep neural networks (DNN) drastically improved accuracy in image recognition, natural language processing and other applications. The key advantage of DL is systematic [Click]
Abstract—Human activity recognition (HAR) has been a popular fields of research in recent times. Many approaches have been implemented in literature with the aim of recognizing and analyzing human activity. Classical machine learning approaches [Click]
Abstract—Collectively, process simulation is an intricate element within an intelligent transport system (ITS); arrange of modeling techniques and subsequent transition operations also form components of such a system Although the ITS [Click]
Abstract—The exponential growth in the number of complex datasets every year requires more enhancement in machine learning methods to provide robust and accurate data classification. Lately, deep learning approaches have achieved surpassing [Click]
Abstract—Different technologies are employed to detect and count people in various situations but crowd counting system based on computer vision is one of the best choices due to a number of advantages. These include accuracy, flexibility [Click]
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