Search Results - (( developing function using algorithm ) OR ( learning application customization algorithm ))

Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…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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Driving school student management system by Tengku Diyana, Tengku Ibrahim

“…The ways the company manage their business are too complicated.Worst case comes when there are like a hundred of student to be managed in an hour, while the company Is currently short of workers to find each customer document to be updated.As a result,a system needs to be developed to replace the current system and enhance the company's performance of management.Driving School Student Management System is proposed to handle this job.The system is developed to handle the process of secured login using Rijndael symmetric encryption algorithm,registering new student,searching a student profile and also searching for student progress to be updated using simple linear sequential search algorithm.The expected result from this system is to get the correct output for each function and system is robust and free of error.…”
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Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques by Kayalvily, Tabianan, Denis, Arputharaj, Mohd Norshahriel, Abd Rani, Sarasvathi, Nahalingham

“…This study aims to predict the ratings of Google Play Store apps using decision trees for classification in machine learning algorithms. …”
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Automate customer support handling E-Commerce enquiry using ChatGPT by Teo, Wen Jin

“…Additionally, order processing functionality will be integrated within the chat interface to provide convenience to the customers so that they can easily make order using a shorter time. …”
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Digital assistant for workspace apps by See, Ling Xuan

“…Moreover, the digital assistant should allow users to automate tasks by creating and running workflows and using templates. The proposed system will be achieved by applying machine learning to train the digital assistant model for it can study and execute every Teams’ function or the function combinations and allow user customization on its steps to complete certain task. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…In Chapter 2, we propose a new algorithm based on incremental Radial Basis Function Network (RBFN) to accelerate the learning in stream data. …”
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Product design and development strategies for an automated Printed Circuit Board (PCB) defects detection systems by Kamaruddin, Shafie, Shamsulamri, Saiffaqrullah, Sharwazi, Muhammad Haziq Fakhri, Suhaimi, Muhammad Harith Ikhmal, Mohamad, Muhamad Ariff Othmani, Sukindar, Nor Aiman, Ahmad Azhar, Ahmad Zahirani

“…To refine these designs, quality functional deployment (QFD) and product design and development methodologies were applied. …”
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Algorithm comparison for data mining classification: assessing bank customer credit scoring default risk by Elaf Adel Abbas, Nisreen Abbas Hussein

“…The study examines how customer attributes affect virtual experiences. Despite advances in machine learning models for credit assessment, unbalanced datasets and some algorithms’ failure to explain forecasts remain major issues. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…This research explores the application of unsupervised learning, a subset of Artificial Intelligence (AI), to analyze customer behavior in accepting personal loans within the banking sector. …”
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Predicting Customer Buying Decisions for Online Shopping with Unbalanced Data Set by Yap, Chau Tean

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Stock indicator scanner customization tool using deep reinforcement learning by Cheong, Desmond YongHong

“…Other than that, many current stock indicator scanners only allow user to specify some simple conditions to scan the stocks and do not harness the advancement of machine learning. This project will deliver a web application with dynamic stock prediction model based on deep reinforcement learning or more particularly, Deep Q-Network (DQN) algorithm which enable input customization. …”
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A block cipher based on genetic algorithm by Zakaria, Nur Hafiza

“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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Computing the autopilot control algorithm using predictive functional control for unstable model by H. A., Kasdirin, J. A., Rossiter

“…This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. …”
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Stock indicator scanner customization tool by Cheah, Shing Dhee

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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

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Machine learning based route optimization for the travelling salesman problem with pickup and delivery by Ong, Zhi Ying

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Predicting Customer Behaviour on Buying Life Insurance using Machine Learning by Fabu Ayub A Ghafar, Norhana Abd Rahim, Yumn Suhaylah Yusoff

Logic Programming In Radial Basis Function Neural Networks by Hamadneh, Nawaf

“…I used different types of optimization algorithms to improve the performance of the neural networks. …”
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EEG-based emotion recognition using machine learning algorithms by Lam, Yee Wei

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Predicting open space parking vacancies using machine learning by Lee, Wei Jun

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