Open Access. Powered by Scholars. Published by Universities.®

Software Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Artificial Intelligence and Robotics

Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 211 - 240 of 453

Full-Text Articles in Software Engineering

A Reliable And Secure Mobile Cyber-Physical Digital Microfluidic Biochip For Intelligent Healthcare, Yinan Yao, Decheng Qiu, Huangda Liu, Zhongliao Yang, Ximeng Liu, Yang Yang, Chen Dong Dec 2023

A Reliable And Secure Mobile Cyber-Physical Digital Microfluidic Biochip For Intelligent Healthcare, Yinan Yao, Decheng Qiu, Huangda Liu, Zhongliao Yang, Ximeng Liu, Yang Yang, Chen Dong

Research Collection School Of Computing and Information Systems

Digital microfluidic, as an emerging and potential technology, diversifies the biochemical applications platform, such as protein dilution sewage detection. At present, a vast majority of universal cyberphysical digital microfluidic biochips (DMFBs) transmit data through wires via personal computers and microcontrollers (like Arduino), consequently, susceptible to various security threats and with the popularity of wireless devices, losing competitiveness gradually. On the premise that security be ensured first and foremost, calls for wireless portable, safe, and economical DMFBs are imperative to expand their application fields, engage more users, and cater to the trend of future wireless communication. To this end, a new …

Go to article

Teacher Candidates’ Conceptions And Practices Of Computational Thinking For Equity, Heather F. Clark, Symone A. Gyles, Imelda Nava-Landeros Oct 2023

Teacher Candidates’ Conceptions And Practices Of Computational Thinking For Equity, Heather F. Clark, Symone A. Gyles, Imelda Nava-Landeros

Journal of Computer Science Integration

This study documents novice science and math teachers’ developing pedagogical approaches to integrating computational thinking (CT) and data into their courses to support educational equity and social justice. The 10 novice teacher candidates (TCs) studied were part of an urban teacher residency program that empowered them with an asset-based pedagogy we describe as “CT for Equity.” Drawing on coursework and interviews as data, we asked three questions: What are teachers’ conceptions of CT? What are their CT instructional practices? And how did their students respond to those practices? To explore conceptions of CT, we used Kafai et al.’s (2020) articulation …

Go to article

Peatmoss: Mining Pre-Trained Models In Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis Oct 2023

Peatmoss: Mining Pre-Trained Models In Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis

Computer Science: Faculty Publications and Other Works

Developing and training deep learning models is expensive, so software engineers have begun to reuse pre-trained deep learning models (PTMs) and fine-tune them for downstream tasks. Despite the widespread use of PTMs, we know little about the corresponding software engineering behaviors and challenges. To enable the study of software engineering with PTMs, we present the PeaTMOSS dataset: Pre-Trained Models in Open-Source Software. PeaTMOSS has three parts: a snapshot of (1) 281,638 PTMs, (2) 27,270 open-source software repositories that use PTMs, and (3) a mapping between PTMs and the projects that use them. We challenge PeaTMOSS miners to discover software engineering …

Go to article

Exploring Approaches To Engage K-12 Students In Learning Computational Thinking Using Collaborative Robots, Zoila Anuri Kanu Oct 2023

Exploring Approaches To Engage K-12 Students In Learning Computational Thinking Using Collaborative Robots, Zoila Anuri Kanu

College of Engineering Summer Undergraduate Research Program

Minority students are largely underrepresented in the STEM field. The goal for this project was to develop a program which promotes the inclusion of computation skills among students and help them work collaboratively with the use of human – robot interaction. Robots are such a strong tool that can be used to enhance computational thinking and engage students towards a technical field. Through workshops and readings about computational thinking we worked on building a block-based program that introduces the uses of robots as teaching tool for computational thinking.

Go to article

Dexbert: Effective, Task-Agnostic And Fine-Grained Representation Learning Of Android Bytecode, Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyande, Jacques Klein Oct 2023

Dexbert: Effective, Task-Agnostic And Fine-Grained Representation Learning Of Android Bytecode, Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyande, Jacques Klein

Research Collection School Of Computing and Information Systems

The automation of an increasingly large number of software engineering tasks is becoming possible thanks to Machine Learning (ML). One foundational building block in the application of ML to software artifacts is the representation of these artifacts ( e.g. , source code or executable code) into a form that is suitable for learning. Traditionally, researchers and practitioners have relied on manually selected features, based on expert knowledge, for the task at hand. Such knowledge is sometimes imprecise and generally incomplete. To overcome this limitation, many studies have leveraged representation learning, delegating to ML itself the job of automatically devising suitable …

Go to article

Sentiment Analysis Of Public Perception Towards Elon Musk On Reddit (2008-2022), Daniel Maya Bonilla, Samuel Iradukunda, Pamela Thomas Sep 2023

Sentiment Analysis Of Public Perception Towards Elon Musk On Reddit (2008-2022), Daniel Maya Bonilla, Samuel Iradukunda, Pamela Thomas

The Cardinal Edge

As Elon Musk’s influence in technology and business continues to expand, it becomes crucial to comprehend public sentiment surrounding him in order to gauge the impact of his actions and statements. In this study, we conducted a comprehensive analysis of comments from various subreddits discussing Elon Musk over a 14-year period, from 2008 to 2022. Utilizing advanced sentiment analysis models and natural language processing techniques, we examined patterns and shifts in public sentiment towards Musk, identifying correlations with key events in his life and career. Our findings reveal that public sentiment is shaped by a multitude of factors, including his …

Go to article

Asset-Based Approaches To Multilingual Students’ Computer Science Identity Development, Sharin Rawhiya Jacob, Mark Warschauer Sep 2023

Asset-Based Approaches To Multilingual Students’ Computer Science Identity Development, Sharin Rawhiya Jacob, Mark Warschauer

Journal of Computer Science Integration

While computer science identity development has been examined in several studies, there is much to learn about the development of multilingual students’ computer science (CS) identities. To develop strong CS identities, multilingual students must engage in culturally and linguistically sustaining curriculum, pedagogy, and interaction that draws from their rich and varied resources. This theoretical paper is grounded in a justice-centered, asset-based framework that views the traditions and practices in students’ cultures and communities as strong contributors to knowledge construction in STEM. We draw on multiple studies exploring multilingual student CS identity development to better understand how their personal, familial, community-based, …

Go to article

Wind River Elementary Computer Science Collaborative: Connecting Computer Science And Indigenous Identities And Knowledges On The Wind River Reservation, Joseph P. Wilson, Kathryn M. Rich, Jared O'Leary, Veronica Miller Sep 2023

Wind River Elementary Computer Science Collaborative: Connecting Computer Science And Indigenous Identities And Knowledges On The Wind River Reservation, Joseph P. Wilson, Kathryn M. Rich, Jared O'Leary, Veronica Miller

Journal of Computer Science Integration

Three Northern Arapaho and Eastern Shoshone–serving districts formed a researcher–practitioner partnership with the Wyoming Department of Education, the American Institutes for Research®, and BootUp Professional Development to advance the computer science (CS) education of their elementary students in ways that strengthen their Indigenous identities and knowledges. In this paper, we share experiences from 2019 to 2022 with our curriculum development, professional development (PD), and classroom implementation. The researcher–practitioner partnership developed student and teacher materials to support elementary CS lessons aligned to Wyoming’s CS standards and “Indian Education for All” social studies standards. Indigenous community members served as experts to codesign …

Go to article

Near Peer Pedagogies For Culturally Sustaining Computer Science And Mathematics, Cliff Freeman, Eli Tucker-Raymond, Juan Gutierrez Sep 2023

Near Peer Pedagogies For Culturally Sustaining Computer Science And Mathematics, Cliff Freeman, Eli Tucker-Raymond, Juan Gutierrez

Journal of Computer Science Integration

In this study, College STEM Literacy Workers act as co-teachers in 9th and 10th grade classrooms alongside mathematics teachers as they both learn to integrate a 30-hour integrated computer science/mathematics curriculum. As part of the curriculum for educator learning, we adapted the Algebra Project’s “Model of Excellence” for culturally relevant-sustaining pedagogies. We used the framework to explore how teachers understand College STEM Literacy Workers’ contributions in the model as well as College STEM Literacy Workers’ own experiences in the classroom. We found that while teachers and College STEM Literacy Workers did not individually instantiate the model of excellence, they were …

Go to article

A Social Profile-Based E-Learning Model, Xola Ntlangula Sep 2023

A Social Profile-Based E-Learning Model, Xola Ntlangula

African Conference on Information Systems and Technology

Many High Education Institutions (HEIs) have migrated to blended or complete online learning to cater for less interruption with learning. As such, there is a growing demand for personalized e-learning to accommodate the diversity of students' needs. Personalization can be achieved using recommendation systems powered by artificial intelligence. Although using student data to personalize learning is not a new concept, collecting and identifying appropriate data is necessary to determine the best recommendations for students. By reviewing the existing data collection capabilities of the e-learning platforms deployed by public universities in South Africa, we were able to establish the readiness of …

Go to article

Building Cyber Resilience: Key Factors For Enhancing Organizational Cyber Security, Thavaselvi Munusamy, Touraj Khodadi Sep 2023

Building Cyber Resilience: Key Factors For Enhancing Organizational Cyber Security, Thavaselvi Munusamy, Touraj Khodadi

Journal of Informatics and Web Engineering

The increasingly pervasive influence of technology on a global scale, coupled with the accelerating pace of organizations operating in cyberspace, has intensified the need for adequate protection against the risks posed by cyber threats. This paper aims to identify cyber resilience management attributes that can enable organizations to sustain and continually adapt in the face of evolving cyber risks and threats. The researcher explores the intersections between cybersecurity and resilience by reviewing existing frameworks, models, studies, and surveys. This study establishes the attributes of resilience with the integration of resilience theory and security theory, along with their position in the …

Go to article

Qr Food Ordering System With Data Analytics, Chee-Chun Wong, Lee- Ying Chong, Siew-Chin Chong, Check-Yee Law Sep 2023

Qr Food Ordering System With Data Analytics, Chee-Chun Wong, Lee- Ying Chong, Siew-Chin Chong, Check-Yee Law

Journal of Informatics and Web Engineering

As the epidemic starts to slow down and Malaysians are more confident about containing the outbreak with the norm of vaccination, diners have been aching to return to dining rooms, with many restaurants functioning at full capacity, but staffing is an entirely different story. As restaurateurs try to keep their businesses running at full speed and solve limited staff issues, there is only one solution: process automation. This paper aims to design a food ordering system that covers the benefits of automating the ordering process using the QR code and provides visualised insightful information based on the business data. Customers …

Go to article

Utilizing Fuzzy Algorithm For Understanding Emotional Intelligence On Individual Feedback, Elham Abdulwahab Anaam, Su-Cheng Haw, Kok-Why Ng, Palanichamy Naveen, Rasha Thabit Sep 2023

Utilizing Fuzzy Algorithm For Understanding Emotional Intelligence On Individual Feedback, Elham Abdulwahab Anaam, Su-Cheng Haw, Kok-Why Ng, Palanichamy Naveen, Rasha Thabit

Journal of Informatics and Web Engineering

Although previous studies looked at how employees should seek assistance, the issue is the researchinvestigation into how behavioral intelligence affects employee satisfaction is limited. This study examines several significant usages and developments of fuzzy mental modelling. The primary objective of the current section is to provide an innovative technique for modelling an emotion-based acceleration of the compressor for individuals. Methodologies of experiential thinking postulate that our comprehension of facial emotional reactions depends significantly on facial behavior imitation and the reactions as opportunities. Considering the theoretical foundations of combined logical reasoning. In addition, the hypothesis of probability, it additionally is not …

Go to article

Face And Facial Expressions Recognition System For Blind People Using Resnet50 Architecture And Cnn, Jia-Rou Lee, Kok-Why Ng, Yih-Jian Yoong Sep 2023

Face And Facial Expressions Recognition System For Blind People Using Resnet50 Architecture And Cnn, Jia-Rou Lee, Kok-Why Ng, Yih-Jian Yoong

Journal of Informatics and Web Engineering

Many blind individuals have difficulties in recognizing people’s facial expression which may impact their social interaction. With the recognition, the blind individuals can accurately interpret and respond to the emotions. There is a lack in the existing application with the combination of face and facial expressions recognition. The blind individuals have to rely on multiple applications to accomplish the same task, making it difficult and time-consuming for them to use. The paper aims to recognize faces and facial expressions for blind individuals and provides feedback in real-time. Three face detection algorithms of Haar Cascade Classifier, Dlib, and RetinaFace are compared. …

Go to article

A Multi-Scale Feature Attention Image Recognition Algorithm, Xin Ming Yuan, Ang Ling Weay, Sellappan Palaniappan Sep 2023

A Multi-Scale Feature Attention Image Recognition Algorithm, Xin Ming Yuan, Ang Ling Weay, Sellappan Palaniappan

Journal of Informatics and Web Engineering

The success of image classification using small samples is contingent on neural network models' capability to derive image representations from the data. A proposed solution is a small-sample image classification system that leverages attention mechanisms and meta-learning to capture more comprehensive image information. Due to its ability to efficiently suppress irrelevant characteristics and accentuate pertinent ones, this technique may extract more robust multiscale features and enhance classification performance through meta-learning.In this paper, the effectiveness of the multi-scale attention network is verified on two datasets, namely, Mini-ImageNet and Tiered-ImageNet, and the accuracy of the method is 58.54% for 5-way 1shot and …

Go to article

Aira: An Intelligent Recommendation Agent Application For Movies, Ayesha Anees Zaveri, Ramsha Mashood, Sarama Shehmir, Misbah Parveen, Naveera Sami, Mobeen Nazar Sep 2023

Aira: An Intelligent Recommendation Agent Application For Movies, Ayesha Anees Zaveri, Ramsha Mashood, Sarama Shehmir, Misbah Parveen, Naveera Sami, Mobeen Nazar

Journal of Informatics and Web Engineering

An intelligent Recommendation App has been developed to assist caregivers. This project's primary objective is to assist parents in determining whether a particular movie/cartoon/drama is adequate for their children by providing ratings that will assist them in identifying age-appropriate content. This application will provide reliable evaluations, reviews, and recommendations to parents. Each rating and review are based on fundamental, essential child development principles. Intelligent Recommendation Agent aids families in making intelligent media selections. It provides the most extensive and reliable database of learning ratings, age recommendations, and content evaluations for films, television series, and dramas. In addition, there will be …

Go to article

Analysing Gamma Frequency Components In Eeg Signals: A Comprehensive Extraction Approach, Tanvir Hasib, Vijayakumar Vengadasalam Sep 2023

Analysing Gamma Frequency Components In Eeg Signals: A Comprehensive Extraction Approach, Tanvir Hasib, Vijayakumar Vengadasalam

Journal of Informatics and Web Engineering

Gamma band activity is a high-frequency (30-100 Hz) oscillation of the electroencephalogram (EEG) that has been linked to a variety of cognitive processes including attention, memory and learning. However, extracting gamma band activity from EEG data can be challenging due to the relatively low signal-to-noise ratio of gamma band signals and the presence of other frequency bands such as beta and alpha. In this paper, we present a method for extracting gamma band activity from EEG data. We evaluated our method on a dataset of EEG data recorded from dyslexic patients. We found that our method was able to successfully …

Go to article

Impact Of Green Building Certification On The Rent Of Commercial Properties: A Review, Thebuwena Arachchige Chandana Hemantha Jayakody, Anthony Vaz Sep 2023

Impact Of Green Building Certification On The Rent Of Commercial Properties: A Review, Thebuwena Arachchige Chandana Hemantha Jayakody, Anthony Vaz

Journal of Informatics and Web Engineering

The world is currently facing two major problems, namely, increasing energy costs and global warming. As a result, it is crucial to take proactive measures to effectively address and mitigate the detrimental impacts arising from elevated energy costs, the pressing issue of global warming, and various types of environmental degradation. As a reaction, international organizations are advocating for the development of eco-friendly, sustainable, or green buildings as a strategy to reduce the harmful effects of the construction sector on the environment. While green development may entail higher costs for developers, it is imperative to evaluate the return on investment from …

Go to article

Dropout Prediction Model For College Students In Moocs Based On Weighted Multi-Feature And Svm, Zhang Yujiao, Ang Ling Weay, Shi Shaomin, Sellappan Palaniappan Sep 2023

Dropout Prediction Model For College Students In Moocs Based On Weighted Multi-Feature And Svm, Zhang Yujiao, Ang Ling Weay, Shi Shaomin, Sellappan Palaniappan

Journal of Informatics and Web Engineering

Due to the COVID -19 pandemic, MOOCs have become a popular form of learning for college students. However, unlike traditional face-to-face courses, MOOCs offer little faculty supervision, which may result in students being insufficiently motivated to continue learning, ultimately leading to a high dropout rate. Consequently, the problem of high dropout rates in MOOCs requires urgent attention in MOOC research. Predicting dropout rates is the first step to address this problem, and MOOCs have a large amount of behavioral data that can be used for such predictions. Most existing models for predicting MOOC dropout based on behavioral data assign equal …

Go to article

Predicting Travel Insurance Purchases In An Insurance Firm Through Machine Learning Methods After Covid-19, Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, Xinying Chew Sep 2023

Predicting Travel Insurance Purchases In An Insurance Firm Through Machine Learning Methods After Covid-19, Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, Xinying Chew

Journal of Informatics and Web Engineering

Travel insurance serves as a crucial financial safeguard, offering coverage against unforeseen expenses and losses incurred during travel. With the advent of the proliferation of insurance types and the amplified demand for Covid-related coverage, insurance companies face the imperative task of accurately predicting customers’ likelihood to purchase insurance. This can assist the insurance providers in focusing on the most lucrative clients and boosting sales. By employing advanced machine learning techniques, this study aims to forecast the consumer segments most inclined to acquire travel insurance, allowing targeted strategies to be developed. A comprehensive analysis was carried out on a Kaggle dataset …

Go to article

A Cost-Based Dual Convnet-Attention Transfer Learning Model For Ecg Heartbeat Classification, Johnson Olanrewaju Victor, Xinying Chew, Khai Wah Khaw, Ming Ha Lee Sep 2023

A Cost-Based Dual Convnet-Attention Transfer Learning Model For Ecg Heartbeat Classification, Johnson Olanrewaju Victor, Xinying Chew, Khai Wah Khaw, Ming Ha Lee

Journal of Informatics and Web Engineering

The heart is a very crucial organ of the body. Concerted efforts are constantly put forward to provide adequate monitoring of the heart. A heart disorder is reported to cause a lot of hidden ailments resulting in numerous deaths. Early heart monitoring using an electrocardiogram (ECG) through the advancement of computer-aided diagnostic (CAD) systems is widely used. Meanwhile, the use of human reading of ECG results are faced with many challenges of inaccurate and unreliable interpretations. Over two decades, studies provided artificial intelligence (AI) technique using machine learning (ML) algorithms as a fast and reliable technique for ECG heartbeat classification. …

Go to article

The Assistance Of Eye Blink Detection For Two- Factor Authentication, Wei-Hoong Chuah, Siew-Chin Chong, Lee-Ying Chong Sep 2023

The Assistance Of Eye Blink Detection For Two- Factor Authentication, Wei-Hoong Chuah, Siew-Chin Chong, Lee-Ying Chong

Journal of Informatics and Web Engineering

This paper discusses the implementation of a blink detection method using 68 facial markers and the eye aspect ratio (EAR) to provide strong protection for access systems. It investigates the importance of 68 facial markers and explores how to use eye landmarks to calculate the eye aspect ratio. Access systems, which should have good security measures and be difficult to decipher, are typically safeguarded by passwords or multi-factor verification, such as passwords combined with facial recognition. However, these methods have inherent weaknesses, including the risk of shoulder surfing with passwords and the potential to be deceived by fake face images …

Go to article

A Marker Free Visual-Based Home Rehabilitation Framework, Roy Kwang Yang Chang, Kok Swee Sim, Siong Hoe Lau Sep 2023

A Marker Free Visual-Based Home Rehabilitation Framework, Roy Kwang Yang Chang, Kok Swee Sim, Siong Hoe Lau

Journal of Informatics and Web Engineering

Adhesive capsulitis or more commonly known as frozen shoulder, is a familiar occurrence for adults aged above 40 caused by the inflammation of the connective tissues surrounding the shoulder joint. There are different severity of adhesive capsulitis but patients afflicted with frozen shoulder typically will experience stiffness, severe pain, and reduced range of motion (ROM) for the shoulder. No matter the course of treatment being non-steroidal anti-inflammatory drugs (NSAIDs) or steroid injections, which can help reduce the inflammation and reduce pain, in order to restore ROM for the afflicted shoulder joint, rehabilitation exercises need to be performed. Even without the …

Go to article

Genregait: Gender Recognition Using Gait Features, Yue Fong Ti, Tee Connie, Michael Kah Ong Goh Sep 2023

Genregait: Gender Recognition Using Gait Features, Yue Fong Ti, Tee Connie, Michael Kah Ong Goh

Journal of Informatics and Web Engineering

Gender recognition based on gait features has gained significant interest due to its wide range of applications in various fields. This paper proposes GenReGait, a robust method for gender recognition utilizing gait features. Gait, the unique walking pattern of individuals, contains distinct gender-specific characteristics, such as stride length, step frequency, and body posture, making it a promising modality for gender estimation. The proposed GenReGait method begins by extracting landmark positions on the human body using a human keypoint estimation technique. These landmarks serve as informative cues for estimating gender based on their spatial and temporal characteristics. However, environmental factors can …

Go to article

Ensuring Privacy And Security On Banking Websites In Malaysia: A Cookies Scanner Solution, Yi Hong Tay, Shih Yin Ooi, Ying Han Pang, Ying Huey Gan, Sook Ling Lew Sep 2023

Ensuring Privacy And Security On Banking Websites In Malaysia: A Cookies Scanner Solution, Yi Hong Tay, Shih Yin Ooi, Ying Han Pang, Ying Huey Gan, Sook Ling Lew

Journal of Informatics and Web Engineering

In this new era of science and technology, data can be said to be an extremely valuable asset for individuals, corporations, and even countries. Different parties attempt to obtain users' data occasionally, and the collection of web cookies is a prominent example. When users use a computer network, their data will be saved by the web server as cookies, including their private information. As people with bad intentions obtain this information, they can use it to commit cybercrimes and cause losses to the information owners. Thus, cookies management is vital for web users to protect their data. This paper proposes …

Go to article

Traffic Impact Assessment System Using Yolov5 And Bytetrack, Jin Jie Ng, Kah Ong Michael Goh, Connie Tee Sep 2023

Traffic Impact Assessment System Using Yolov5 And Bytetrack, Jin Jie Ng, Kah Ong Michael Goh, Connie Tee

Journal of Informatics and Web Engineering

Monitoring software for traffic is not too much in this era of digital. Even cheaper is decent traffic monitoring software. You can gauge the quality of the software. It should be possible to assess the code's performance outside of a test environment. The most useful metrics are frequently those that support the program's ability to fulfil business requirements. Therefore, this project is planning to develop a traffic assessment system. The main purpose of development is to improve heavy traffic in this country – Malaysia. This system includes function vehicle detection using YOLOv5, vehicle counting with a different type (such as …

Go to article

Engaging Learning Experience: Enhancing Productivity Software Lessons With Screencast Videos, Usha Vellappan, Lim Liyen, Lim Su Yin Sep 2023

Engaging Learning Experience: Enhancing Productivity Software Lessons With Screencast Videos, Usha Vellappan, Lim Liyen, Lim Su Yin

Journal of Informatics and Web Engineering

The use of screencast videos can improve the effectiveness of the teaching and learning process, whether it is face-to-face or online. Screencast videos are digital resources that capture the computer screen and create an audio-visual experience, and they can be shared online to aid the learning process. It eliminates the need for educators to repeat information multiple times and creates an uninterrupted personalised learning environment for the students. This method of learning gives students a more personalised sense, as if they were given one-on-one guidance from the educator, with students having access to the educator and receiving immediate feedback during …

Go to article

Enhancing Migraine Management System Through Weather Forecasting For A Better Daily Life, Wen-Xuan Ong, Sin-Ban Ho, Chuie-Hong Tan Sep 2023

Enhancing Migraine Management System Through Weather Forecasting For A Better Daily Life, Wen-Xuan Ong, Sin-Ban Ho, Chuie-Hong Tan

Journal of Informatics and Web Engineering

A migraine is a severe, throbbing, or pulsing headache that typically affects one side of the head. A migraine attack can be so painful that it interferes with daily activities and can last for hours or even days. Migraine is a common health issue that affects approximately 1 in every 5 women and 1 in every 15 men. Additionally, millions of people worldwide suffer from migraine attacks due to the inability to anticipate or adapt to their environment. In today's globalized world, mobile phones have become a necessity for the general public, enabling communication, internet shopping, food purchases, and even …

Go to article

Multi-Label Classification With Deep Learning For Retail Recommendation, Zhi Yuan Poo, Choo Yee Ting, Yuen Peng Loh, Khairil Imran Ghauth Sep 2023

Multi-Label Classification With Deep Learning For Retail Recommendation, Zhi Yuan Poo, Choo Yee Ting, Yuen Peng Loh, Khairil Imran Ghauth

Journal of Informatics and Web Engineering

Selecting the right retail business for a location is crucial for the success of a business because it determines the likelihood of favourable return on investment. One common approach used in retail recommendation is multi-class classification, where retail businesses are categorized into different classes or categories based on various features or attributes. Existing research in the field of retail recommendation has extensively proposed and evaluated different algorithms, techniques, and approaches for multi-class classification in the context of retail recommendation, however, limited work has been focusing on formulating retail recommendation as a multi-label problem. This is because in retail recommendation, one …

Go to article

Workplace Preference Analytics Among Graduates, Sin-Yin Ong, Choo-Yee Ting, Hui-Ngo Goh, Albert Quek, Chin-Leei Cham Sep 2023

Workplace Preference Analytics Among Graduates, Sin-Yin Ong, Choo-Yee Ting, Hui-Ngo Goh, Albert Quek, Chin-Leei Cham

Journal of Informatics and Web Engineering

Graduates often find themselves difficult to secure a job after completing their education at universities or colleges. In this light, researchers have proposed various solutions to address this challenge. However, most of the work has largely focused on academic profile and personality traits; very few have highlighted the importance of workplace location characteristics. To address this challenge, this study has employed feature selection and machine learning approach to help graduates identify desired company type and sector based on their preferences and preferred location. The data used in this study was obtained from the Ministry of Higher Education Graduates Tracer Study's …

Go to article

First Prev Next Last