Innovations

Build a positive impact. Our offered research topics

User-Job Profiling Analytic

Research/Project Team :

  1. Ezzatul Akmal Kamaru Zaman ( Project Leader )
  2. Ahmad Farhan bin Ahmad Kamal
  3. Prof. Dr. Azlinah Mohamed
  4. Dr. Azlin Ahmad

Text Mining on Movie Review using Supervised Learning

Research/Project Team :

  1. Pn Sofianita Mutalib ( Project Leader )
  2. Muhammad Naufal Harraz Bin Abdul Halim

Data Analytic

Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements.

Data analytics is also known as data analysis.

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Acoustic Surveillance Intrusion Detection System Using Linear Predictive Coding & Random Forest

Research/Project Team :

  1. Dr Marina Yusoff ( Project Leader )
  2. Muhamad Amirul Sadikin Bin Md Afendi

Machine Learning

Machine learning is a method of various type data, images and signals analysis being used in a wide range of applications today. Machine learning platforms are being practiced among enterprise technologies as such by Amazon, Google, Microsoft, IBM in machine learning activities to support their business processes. It is becoming demanding now in assisting big data solutions with modern machine learning of a better performance in detection, recognition, classification and clustering of structured and unstructured data. We have the capability of providing these solutions to your organizations

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Intelligent Fish Automation Feeder for Aquaculture Industry

Research/Project Team :

  1. Nurzeatul Hamimah Abdul Hamid ( Project Leader )
  2. Mohammad Amirul Asyraf
  3. Mohd Razif Shamsuddin

Legal Advisor of Accident Cases using Case-Based Reasoning

Research/Project Team :

  1. Nurzeatul Hamimah Abdul Hamid ( Project Leader )
  2. Shuhaizan Sulaiman

Knowledge Based System

Knowledge-based systems (KBS) are one of the branches of artificial intelligence. (AI). KBS uses knowledge from human domain experts to facilitate the decision-making process. An example of KBS is expert systems. Among the methods used to reason a decision-making process in KBS are fuzzy logic, rule-based and case-based reasoning. The main components of KBS include user interface facilities, inference engine, and knowledge base. The application of KBS varies from legal, business, medical and other relevant domains.

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Heuristic-Based Model for Groceries Shopping Navigator

Research/Project Team :

  1. Assoc. Prof. Dr. Shuzlina Abdul Rahman ( Project Leader )
  2. Muhammad Wardi bin Peeyee
  3. Nurzeatul Hamimah Abdul Hamid

Genetic Algorithm and A* Algorithm in Optimizing Courier Delivery Services in Malaysia

Research/Project Team :

  1. Ezzatul Akmal Binti Kamaru Zaman ( Project Leader )
  2. Mohammad Fariduddin Bin Jalaluddin
  3. Mohd Zaki Zakaria

Virtual Groceries Shopping Path Scheduler Optimizer

Research/Project Team :

  1. Assoc. Prof. Dr. Shuzlina Abdul Rahman ( Project Leader )
  2. Mohd Nazmi bin Noor Shamsuazman
  3. Nurzeatul Hamimah Abdul Hamid

Optimization

Computing Optimization Solution solves difficult optimization problems. Optimization problems concern on the importance of searching for a better solution in many disciplines. It seeks to find the best answer from all possible solutions with the aim of the aim is to maximize or minimize the objective functions such as to maximize productivity and maximized security and minimized operating costs. Some of the optimization problems are scheduling and planning, routing, assignment, space, resources in various industries and organizations.  Many natures inspired computing solutions we employed and improved to suit customer needs.

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Autonomous Flood Monitoring and Detection System Using Intelligent Agent

Research/Project Team :

  1. Nurzeatul Hamimah Abdul Hamid ( Project Leader )
  2. Muhammad Nizamuddin Bin Azmee

Agent Based/Simulation

A simulation model is a set of interacting objects that represent the actual relationships in the real world. In the case of agent-based simulation, autonomous agents interact and make decisions to simulate the real world. Examples of agent-based applications are widely used in the social sciences and business domain. The agent-based application supports autonomous decision-making in distributed systems. Examples of agent-based architecture are used in robotics, personal agents and autonomous cars.

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