Search Results - (( developing customer interaction algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Sentiment analysis of customer review for Tina Arena Beauty by Amri, Nur Najwa Shahirah

“…This study aimed to develop a sentiment analysis model to classify customer reviews into positive and negative sentiments and visualize the results in an interactive dashboard. …”
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Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

“…The manual method often has a lack of knowledge that the menu that shows the customer does not provide any information that customers need, such as an image of the food or ingredients used in the menu. …”
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Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri by Nik Mohd Asri, Nik Asyraniasna

“…Through the analysis of various customer data sets, such as people, products, promotion, place, the K-means algorithm can detect clusters that correspond to consistent client groups. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…The evaluation will cover the product, services provided, delivery service and experience. Customer intent is the root cause or purpose that drives a customer's behaviors or actions when they interact with the business, website, or product. …”
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Sales prediction of religious product and services of Mutawwif Haramain Travel & Tours using predictive analytics by Mohd Sabri, Nurul Ainin Qistina

“…Sales prediction in the religious services sector is challenging due to seasonal, cultural, and economic factors, which make traditional methods less reliable. This research develops a predictive model for sales prediction at Mutawwif Haramain Travel & Tours, utilizing machine learning algorithms, specifically Decision Tree, Random Forest, and Naive Bayes, to uncover patterns in customer behavior and seasonal demand. …”
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Development of two matheuristics for production-inventory-distribution routing problem / Dicky Lim Teik Kyee by Dicky Lim , Teik Kyee

“…Both algorithms are tested on a set of 90 benchmark instances with 50, 100 and 200 customers and 20 periods and the results are competitive when compared to the Memetic Algorithm with Population Management (MA|PM), Reactive Tabu Search (RTS) and Scatter Search (SS). …”
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Customer mobile behavioral segmentation and analysis in telecom using machine learning by Sharaf Addin, Eman Hussein, Admodisastro, Novia Indriaty, Mohd Ashri, Siti Nur Syahirah, Kamaruddin, Azrina, Chew, Yew Chong

“…According to the results, four customer clusters were obtained. An interactive web-based dashboard called INSIGHT was developed to provide analysis of customer segments based on demographic, behavioral, and regional traits; and to devise customized query for deeper analysis. …”
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A fuzzy decision support system for personal loan application / Muhammad Mustaqim Md Said by Md Said, Muhammad Mustaqim

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Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

“…The results were visualized using an interactive dashboard developed in Power BI, allowing users to explore sentiment trends, keyword frequency, and review distributions by gender, platform, and time. …”
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Supervisory control and data acquisition system (SCADA) based customized remote terminal unit (RTU) for distribution automation system by Musse, Mohamud Ahmed, Soo, Wai Lian

“…Two proprietary software systems are used are to develop algorithm for the controller and to develop HMI for monitoring and controlling functions for the operator.…”
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Customized fault management system for low distribution automation system by Ahmed, Musse Mohamud, Soo, W. L.

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Online Transaction Fraud Detection Using Backlogging On E-Commerce Website: A Review by Atiqah, S.M.T., Nurdiana, A.

Sentiment analysis of customer reviews for Konda Kondi Cafe & Bistro by Abd Azizul Rahman, Munirah Syafiqah

“…This project presents the development of a sentiment analysis system to analyze customer reviews for Konda-Kondi Cafe & Bistro. …”
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Predicting open space parking vacancies using machine learning by Lee, Wei Jun

“…This study proposes a parking prediction model using support vector regression (SVR) to predict available parking spaces. A custom object detector developed using the YOLOv4 algorithm was used to collect the data for training the machine learning model. …”
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Ump Intelligent Chatbot Using Dialogflow by Joachim, Agostain

“…A chatbot is an automated program that interacts with customers like a human would and cost little to nothing to engage with. …”
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A microscopic swarm model simulation and fractal approach towards swarm agent behaviour by Widyarto, Setyawan, Abd. Latiff, Muhammad Shafie

“…The collision avoidance algorithm is influenced by existing algorithm flock which uses the steering behaviour to animate birds. …”
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Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil by Jamli, Mohd Radhi Fauzan, Ahmad Fadzil, Ahmad Firdaus

“…Student input initiates the process, with user interaction allowing for timetable customization based on personal preferences. …”
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Automate customer support handling E-Commerce enquiry using ChatGPT by Teo, Wen Jin

“…The project scope is the development of a comprehensive mechanism for context handling, an inconspicuous human takeover process, and the summarization of entire conversations between customers and automated customer support before handover to human agents. …”
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