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A simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information sy... by Ming L.L.

Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

“…Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. …”
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Talkout : Protecting mental health application with a lightweight message encryption by Gavin Teo Juen

“…The project objectives includes:(i) To investigate lightweight message encryption algorithms by benchmarking their efficiency in terms of computation speed and generated cipher text size; (ii) To design and develop the TalkOut mobile application with lightweight message encryption by using prototype software development model.; and (iii) To evaluate the usability performance of the developed proposed TalkOut mobile application using System Usability Scale (SUS) approach. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.] by Saad, Nor Liza, Khairudin, Nurkhairizan, Azizan, Azilawati, Abd Rahman, Abdullah Sani, Ibrahim, Roslina

“…For the initial framework, the tourist mobile application prototype was developed based on Penang tourist areas by using Waterfall Model system development approach. …”
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Student-Class (SC) optimization system / Haifaa Mahfuzah Hazalin by Hazalin, Haifaa Mahfuzah

“…The methodology used to develop this system is a Waterfall Model. The system had been successfully developed following all of 5 phases in the model which are requirement analysis, design, implementation, testing and maintenance. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks by F. M., Mohammed

“…Firstly is by enhancing the learning algorithm of a neural-fuzzy network; and secondly by devising an ensemble model to combine the predictions from multiple neural-fuzzy networks using an agent-based framework. …”
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AI chatbot system for educational institutions by Tan, Hui Hui

“…This project presents the design and development of an advanced chatbot system powered by deep learning algorithms for intent classification. …”
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3D character reconstruction from 2D orthogonal images by Kok, Yung Thow

“…The proposed algorithm is organized into modular stages, allowing artists and developers to further improving the pipeline by integrating computer vision, AI models and 3D modelling and scripting techniques. …”
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad by Ahmad, Nurul Atirah

“…The dataset is split into training and testing sets to develop the Naive Bayes (NB) model. The NB model achieved a commendable accuracy of 89.8%, indicating good performance in classifying potential job applicants. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…Data annotation using semi-supervised learning which is self-training technique need to be accomplished as the dataset is unlabeled. Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar... by Shamsudin, Muhammad Azziq, Aminuddin, Raihah, Abdul Jalil, Ummu Mardhiah

“…The accuracy of the model is above 70% and the web was graded with B in the usability test by the users. …”
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Pharmacy Management System (PhaMSys)/ Norfatin Liyana Yussof by Yussof, Norfatin Liyana

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E-Grocery application with Geolocation and YOLO Algorithm / Ikhwan Nurhakim Zuzalli and Raihana Md Saidi by Zuzalli, Ikhwan Nurhakim, Md Saidi, Raihana

“…The objective of this project is to develop an E-Grocery application using geolocation and YOLO algorithm. …”
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Classification and visualization of Malaysian fast food restaurant chain based on twitter sentiment analysis / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi

“…Initially, the data was pre-processed, followed by the development, and testing of a classifier model using real-world data. …”
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A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan by Kesavan , Krishnan

“…The identified components were then organized into a model-view-controller (MVC) pattern which was adapted from the modern GUI development platform to describe the structure of the HBVE-Framework. …”
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An automated approach to elicit and validate security requirements of mobile application by Yusop, Noorrezam

“…Mobile phone usage has continued to rise,and it is becoming more convenient for users to use mobile applications for booking hotels,conducting online transaction and online payment.In this case,secured applications are required to increase the confidence among mobile users.In order to achieve correct secure application,a correct security requirements needs to be elicited and defined.Additionally,it is also crucial for security requirements of mobile apps to fulfill basic quality attributes such as correct,consistent and complete (3Cs).However,few problems are found in eliciting security requirements for mobile apps.Firstly, most requirements engineers (RE) are identified to have less knowledge and understanding of security requirements attributes,leading to the failure of implementing the 3Cs of security requirements.Secondly,most of the elicitation and the validation of security requirements are conducted at the later stage of the development and leads to poor quality security requirements implementation which might resulted to project failure.Motivated from these problems,the objectives of this thesis are three-folds; 1) To analyze the security requirements for mobile apps, 2) To propose an approach to elicit and end-to-end validation of security requirement,and 3)To evaluate the efficacy in term of correctness and performance as well as usability of the approach.This thesis proposes a new automated approach to assist the elicitation and validation of security requirements.Here an automated tool support called MobiMEReq is also developed.For this, we have adopted Test Driven Development (TDD) methodology with semi-formalized models:i) Essential Use Cases (EUCs) and ii) Essential User Interface (EUI).We then divided our approach into two parts:1)Elicitation and 2)End-to-end validation security requirements.Further,we have developed pattern libraries to assist on the correct elicitation and validation.They are mobile Security attributes pattern library and mobile security pattern library.Then,we have constructed a new algorithm using fuzzy logic to assist on the prioritization of the test for better performance of validation.Finally,a comprehensive evaluation of the approach,comprising experiments of correctness test and usability test were conducted.Here,we have also evaluated the feedback from the industry experts especially on the usability of the automated approach and tool support.In summary,the findings of the evaluations show that our approach is able to contribute to the body of knowledge of mobile security requirements engineering especially in enhancing the performance and correctness level of security attribute elicitation and its usability for end-to-end elicitation and validation.It is found that the approach able to enhance the correctness level of the elicited security attribute compared to the manual approach,and produce correct generation of test.Then,the results of the usability test by the novice and experts show that the approach is useful in eliciting and validating security requirements at the early stage of application development and is able to ease the elicitation and validation process of security requirements of mobile apps.…”
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study by Mohd Nurhafeezi, Nordin

“…The intention of the developed courseware is not to replace conventional class, but the develop courseware main objective is to assist students of FCSIT for better understanding towards Data Structure and Algorithms Course (TMC1433) through interactive delivering information.…”
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Diabetes risk prediction system and data visualization / Azizah Mohamad Imran and Hawa Mohd Ekhsan by Mohamad Imran, Azizah, Mohd Ekhsan, Hawa

“…To determine Diabetes, the prediction model used and compared different machine learning algorithms such as Logistic Regression (LR) and Support Vector Machine (SVM). …”
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Student’s parcel tracking and management system / Farah Izziati Roshidan by Roshidan, Farah Izziati

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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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