This study presents three frameworks for mobile learning system based on quality factors derived from the updated DeLone and McLean information success model. used questionnaire as a quantitative method to explore perspectives of 392 students. opens future work using identified guidelines researchers designers design develop applications.

In the present study, microwave co-pyrolysis (MCP) was used to simultaneously convert medical plastic waste (MPW) and frying oil (WFO) into liquid products. The MCP process demonstrated a faster heating rate (24 °C/min) shorter time (20 min) compared conventional pyrolysis techniques converting MPW WFO (≥80 wt%). reduced oxygen content from 25.7 9.82 wt% in encompassing light aliphatic hydrocarbons ranging C10 C28, generating novel sustainable fuel. having high carbon (approximately 77.1...

In the domain of Marine Education and Training (MET), simulators have been utilized for purpose training seafarers in norms avoiding collisions or developing skill ship manoeuvrability, even operation machinery engine room, as well conducting research on subject matter structure, specialized vessel operation, working principle equipment, shipboard safety training. These tools are more important when facing disruptive events such COVID-19 pandemic. MET institutions, full-mission bridge room...

The whole world has come to know the fact that heart disease is not a trivial issue. Although years have changed, throngs of patients are diagnosed with this lethal and only it decreasing, but increasing evident from analysis death rates across country. Heart caused by several main factors such as negligence in taking care diet daily life. Causes age genetics cannot be fully controlled humans. So responsibility each individual take critical risk can Innovation data mining technology should...

Most e-Learning web application known as Learning Management Systems are associated with collaboration in a page. It allows user to interact directly multiple any platform together other users. However, the action of users has not been thoroughly analyzed. Due medium teaching, implementation is through online. nec-essary analyse each student behaviour characteristics blended learning so that lecturer can adjust how online activities per-formed. In this paper, we propose conceptual model...

This article presents data on digital adoption by enterprises in Malaysian industrial sectors during the COVID-19 pandemic. The were collected periods of Conditional Movement Control Order (CMCO) and Recovery (RMCO) from October 11 to December 31, 2020. Data collection was completed through an online questionnaire survey conducted among a sample 432 four sectors, namely services, retail, manufacturing, tourism, all states Malaysia. selected using cluster systematic random sampling. asked...

Tourism is an information-based industry and innovative mobile applications are believed to provide new business opportunities for the industry. Most tourism firms throughout globe consist of small medium-sized enterprises (SMEs) as such, SMEs utilisation information systems (IS) crucial in terms added efficiency, effectiveness innovation. However, acceptance m-commerce remains very low, while factors impacting application IS still ambiguous. The objective current study was integrate TTF...

Image enhancement is becoming increasingly important with the advancement of space exploration techniques and technological development more durable scientifically sound observatories equipped powerful telescopes. The images helps astronomers analyze results act toward determining dates religious festivals. This work describes a technique known as contrast-limited adaptive histogram equalization (CLAHE) grayscale contrast bilateral filtering. We apply CLAHE on L component CIE-Lab color to...

Raisin grains are among the agricultural commodities that can benefit health. The production of raisin needs to be classified achieve optimal results. In this case, classification is carried out on two types grains, namely Kecimen and Besni. However, inaccurate sample data affect performance model. study, sampling techniques proposed: stratified shuffled. proposed model RF, GBT, NB, LR, NN. This study aims identify models based techniques. Classification applied seven-features dataset,...

Coronavirus often called COVID-19 is a deadly viral disease that causes as result of severe acute respiratory syndrome coronavirus-2 needs to be identified especially at its early stages, and failure which can lead the further spread virus. Despite with huge success recorded towards use original convolutional neural networks (CNN) deep learning models. However, their architecture modified design versions have more powerful feature layer extractors improve classification performance. This...

Data extraction is one of the most prominent areas in data mining analysis that been extensively studied especially field requirements and reservoir. The main aim with regards to semi-structured retrieve beneficial information from World Wide Web. large web also known as deep retrievable but it requires request through form submission because cannot be performed by any search engines. applications automatic are very cumbersome due diverse structure pages. Most previous techniques were...

<p class="Abstract">Data mining is the process of discovering knowledge and previously unknown pattern from large amount data. The association rule (ARM) has been in trend where a new analysis can be discovered to project for an important prediction about any issues. Since first introduction frequent itemset mining, it received major attention among researchers various efficient sophisticated algorithms have proposed do mining. Among best-known are Apriori FP-Growth. In this paper, we...

Due to the events caused by COVID-19 pandemic, education industry is no longer limited offline, and online classroom widely used. The rapid development of provides users with more abundant educational course resources flexible learning methods. Various platforms are also constantly improving their service models give a better experience. However, at present, there few personalized information recommendation services in student selection. Students receive same selection cannot be "tailored"...

There are rising interests in developing techniques for data mining. One of the important subfield mining is itemset mining, which consists discovering appealing and useful patterns transaction databases. In a big environment, problem infrequent itemsets becomes more complicated when dealing with huge dataset. Infrequent may provide valuable information knowledge process. The current basic algorithms that widely implemented derived from Apriori FP-Growth. use Eclat-based has not yet been...

One example of the state-of-the-art vertical rule mining technique is called equivalence class transformation (Eclat) algorithm. Neither horizontal nor data format, both are still suffering from huge memory consumption. In response to promising results in a higher volume and taking consideration dynamic transaction database, research proposes performance enhancement Eclat algorithm that relies on incremental approach an Incremental-Eclat (i-Eclat) Motivated fast intersection Eclat, this...

Data scraping is a concept that involves the extraction of relevant data from pool information stored in computer. universally known as web because contains massive amount easily accessible and extracted. Web valuable to all field human endeavour. The paper gives vivid conceptualization some minor misconception between mining, crawling scraping. Furthermore, phases procedure were outlined. merit over API explicated. Moreover, numerous software tools support websites stated. Even though has...

Although attacks from a hostile environment to mobile agents have been studied, there is still no formal classification of these attacks. This paper examines possible and presents taxonomy on in environment. Our complete the sense that any attack composed entirely elements classified by taxonomy. First, definition introduced. Then all are classified. used analysis existing schemes their appropriateness when applied certain kind applications. It also helpful directing new protection for agents.

Covid-19 pandemic has forced the teaching and learning activity into real time real-world education meetings. The traditional physical face-to-face meetings are avoided in accordance to reducing close contacts among individuals. Thus, a new paradigm shift towards needs be highly enforced. Teaching on medical field especially require for world anatomy against human or living things body. In response providing facility teachers learners, Gross Anatomy Augmented Reality (GAAR) is introduced....