Sentiment analysis on social media platforms (i.e., Twitter or Facebook) has become an important tool to learn about users’ opinions and preferences. However, the accuracy of sentiment is disrupted by challenges natural language processing (NLP). Recently, deep learning models have proved superior performance over statistical- lexical-based approaches in NLP-related tasks. Word embedding layer generate input features. Many word been presented for text representation both classic...

Named entity recognition (NER) is an important task in natural language processing, as it widely featured a key information extraction sub-task with numerous application areas. A plethora of attempts was made for NER detection Western and Asian languages. However, little effort has been to develop techniques the Urdu language, which prominent South hundreds millions speakers across globe. considered hard problem owing several reasons, including paucity large, annotated datasets; inaccurate...

Continued global economic instability and uncer-tainty is causing difficulties in predicting sales. As a result, many sectors decision-makers are facing new, pressing challenges. In supply chain management, the food industry key sector which sales movement demand forecasting for products more difficult to predict. Accurate helps minimize stored expired items across individual stores and, thus, reduces potential loss of these products. To help companies adapt rapid changes manage their...

Open learning represents a new form of online learning. It is based on providing courses, materials for free to be taken by any interested learner. The current model open has certain limitations which provide potential improvement. One such area personalization in environments. avenue enhance experience environments giving consideration principles and cognitive science. This paper aims introduce proposal an adaptive personalize the theory styles particularly Felder Silverman Learning Style...

Abstract The recent evolution of computing technology has led to dramatic developments and changes in online learning. Open learning is a new form that allows materials be freely available on the Internet accessible anyone who interested. Different initiatives, which are based open concept, have been initiated by various prestigious institutions. Although all these initiatives provide courses with free access content, each its own approach terms teaching, assessment even their goals defining...

This paper presents an adaptive framework to personalise open learning environments. The design of the framework has been grounded in cognitive science and principles. theory styles, and more specifically the model Felder Silverman, considered applied. developed framework two main functions. First, it automatically identifies learners’ styles by tracking their behaviours interactions with provided objects. Secondly, provides adaptive navigational support based on identified...

The emerging technology of internet connected vehicles (IoCV) introduced many new solutions for accident prevention and traffic safety by monitoring the behavior drivers. In addition, drivers’ to reduce accidents has attracted considerable attention from industry academic researchers in recent years. However, there are still issues that have not been addressed due lack feature extraction. To this end, paper, we propose multimodal driver analysis (MODAL-IoCV) approach analyzing using a deep...

This paper presents an adaptive framework to personalise open learning environments. The design of the is grounded in cognitive science and principles. Theories styles, specifically model Felder Silverman (1988), have been considered applied, with technology navigation support integrated into environment, testing use sorting hiding techniques. adapts learners' styles by content based on preferences least preferred content. Detailed descriptions framework's functionalities different...

This paper presents a smart tutoring system for Arabic Sign Language (ArSL). language is one of the main approaches communication people with hearing impairment. Many are willing to learn sign and support this segment society; however, learning requires some effort assistant. Tools that used learners specifically ArSL limited insufficient. Hence, development tool capable training assessing becomes necessity. We proposed based on using leap motion's hand tracking technology. The aim assisting...

Computer courses in public schools are typically taught by traditional methods, that involve images and written text explanations. This makes the content of learning materials unclear hard to understand. Moreover, it is not easy for equip computer labs with required devices, as have limited budgets. In this paper a protype using VR technology was introduced assessed terms usability, acceptance. The aim provide an interactive virtual environment teaching/learning hardware most effective...

The outbreak of Covid-19 has taken the lives many patients so far. symptoms COVID-19 include muscle pains, loss taste and smell, coughs, fever, sore throat, which can lead to severe cases breathing difficulties, organ failure, death. Thus, early detection virus is very crucial. be detected using clinical tests, making us need know most important symptoms/features that enhance decision process. In this work, we propose a modified multilayer perceptron (MLP) with feature selection (MLPFS)...

Information retrieval from huge social web data is a challenging task for conventional search engines.Recently, information filtering recommender systems may help to find movies, however, their services are limited because of not considering movie quality aspects in detail.Prediction movies can be improved by using the characteristics content about such as social-quality, tag quality, and temporal aspect.In this paper, we have proposed utilize several features user reputation predict popular...

Demand forecasting is one of the biggest challenges in supply chain management, especially food industry, due to various variables that affect people's needs, continuous changes prices, and overall economic factors. Many product sales demands, such as promotional offers, seasons, holidays, cultural events, among many others. Despite difficulty, processes can be enhanced by using machine learning, which typically produces better predictions than conventional approaches. This paper proposes a...

This paper presents a study that looks at ways to support learners in open learning environments by applying cognitive science and theories. Open is form of online allows materials courses be freely available on the Internet accessible anyone who interested. The focus this presentation contents. Based concept schema theory, knowledge map has been chosen organise present aim for self‐regulated providing full encapsulation course contents help them, especially novice learners, conceptualise...

This paper introduces and exploratory study that aims to explore the Information Technology (IT) Governance in Saudi Arabia.The goal is identify most commonly used IT frameworks both government private sectors Arabia.In addition, reasons lead selecting certain sectors.This considered among first studies Arabia.IT workers perspectives were collected using an online questionnaire.The results show still vague sector compared sector.The identified, also recognized.The revealed some facts may...

The financial sector plays a significant role in the economics of all nations. Saudi Arabian economy ranks amongst top twenty world. Consequently, occupies critical position within Arabia. Contemporary digital technology has rendered heavily dependent upon information (IT) as means enhancing and extending its operational scope. Hence, efficient governance is required to streamline utilize technology. Moreover, pivotal importance requires that IT challenges have be swiftly identified....

Open learning is a new form of online that allows materials and courses to be freely available on the Internet accessible anyone who interested.Massive Online Courses term used for provided in these open environments.The authors believe environments are still their early stages evolution terms providing effective models with many aspects needing considered.These can addressed consideration principles cognitive science herein lies our research.Based concept schema theory, knowledge map has...

Abstract Open learning is a new form of online that allows materials and courses to be freely available on the Internet accessible anyone who interested. Massive Online Courses term used for provided in these open environments. The authors believe environments are still their early stages evolution terms providing effective models with many aspects needing considered. These can addressed consideration principles cognitive science herein lies our research. Based concept schema theory,...

Information Technology innovations have strongly affected today’s businesses and the way we work. This effect involves different industries, healthcare industry is one of them. Various information systems been introduced to manage share patient records information. However, based on reviewed literatures, knowledge management system does not same focus attention. It found that there no able tacit innovation. As a result, this paper aims introduce theoretical framework enables global sharing....

The technology revolution has its strong impacts on different fields and industries. E-learning is one of those that dramatically affected changed over the previous years. Cloud computing Web 2.0 features (i.e. blogs, Wikis, etc.) provide great opportunities to move e-learning a new era. Different initiatives are established based employing cloud capabilities. This paper highlights limitations contemporary initiatives. introduces framework for an open learning environment called Open...

Appears in: ICERI2020 Proceedings Publication year: 2020Pages: 5950-5958ISBN: 978-84-09-24232-0ISSN: 2340-1095doi: 10.21125/iceri.2020.1278Conference name: 13th annual International Conference of Education, Research and InnovationDates: 9-10 November, 2020Location: Online