Search Results - (( developing consumer intention algorithm ) OR ( java learning classification algorithm ))

An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…In this research, we are focusing on customer intent through their reviews. The main problem is with the large-scale manufacturer relies on consumer reviews, ratings, and opinions regarding the quality and design of the products and the manual analysis of these ratings is time-consuming, hence diminishing effectiveness. …”
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Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin by Nasaruddin, Nor Intan Shafini

“…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm by Li, Man, Liu, Fang, Abdullah, Zulhamri

“…In this context, it has become an important topic to study the relationship between the authenticity of online CSR communication messages and consumers’ purchase intentions. This work proposes an algorithm based on PSO-1DCNN joint optimization to analyze the impact of online CSR information authenticity on consumers’ purchase intention in social media on the Internet platform. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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Consumers' intention to use e-money mobile using the decomposed theory of planned behavior by Husnil, Khatimah

“…The purpose of this study is to understand consumers’ behavior on their intention to use e-money mobile.The study of the intention to use e-money mobile is still at the early stage in payment transaction. …”
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning by Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.

Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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Power system intentional islanding for different contingency scenarios using discrete optimization technique by Nur Zawani Binti Saharuddin

“…In addition, the results of the case studies (with critical line outage) showed that the MDEP algorithm was able to obtain the optimal intentional islanding strategy with minimal power flow disruption.…”

Modeling purchase intention towards edible bird's nest products among Malaysians by Mohamad Shukri, Nurul Nabilah Huda, Mohd Nawi, Nolila, Abdullah, Amin Mahir, Man, Norsida

“…Despite an ever-growing number of EBN products and options available in the market, there are still fewer purchasers among Malaysian consumers as compared to other countries. This study aims to determine factors that influence consumers’ intention in purchasing EBN products. …”
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Quantitative Computational Framework For Analyzing Evidence To Identify Attack Intention And Strategy In Network Forensics by Mosa, Mohammad Rasmi Hassun

“…The proposed framework aims to use cyber crime evidence to reconstruct attack intentions and estimate similar attack strategies. The intentions are identified through a new algorithm called Attack Intention Analysis, which predicts cyber crime intentions by combining Dempster-Shafer theory and a causal network. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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Electroencephalogram signal interpretation system for mobile robot by Hasan, Intan Helina

“…The aim of this project is to develop an algorithm that can choose optimal four electrodes for signal recording, and convert one thought into multiple commands with the chosen electrodes. …”
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The influence of Robo-advisory services on Malaysia university student’s investment intention by Tan, Yung Hui, Lim, Jia Eng, Lim, Keh Xin, Zeng, Yi

“…As financial technology (fintech) continues to advance, understanding the behavioral intentions of young investors toward these services is crucial. …”
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From AI to Experience How Personalization Shapes Online Shopping Journeys in E-Marketplaces by Raeni Dwi, Santy, Yoga, Wicaksana, Mohammad Fauzil, Adhim

“…Using the recent development of social commerce integration into e-commerce, particularly the merger of TikTok and Tokopedia, as a contextual backdrop, the research highlights how recommendation algorithms, chatbots, and personalized content contribute to consumer decision-making processes. …”
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Muslim Friendly Hotel (MFH) in Malaysia: Understanding the Market by Nurul Azhani Mohd Azmin, Zatul Iffah Mohd Fuza, Nor Zafir Md Salleh

Application of machine learning approach on halal meat authentication principle, challenges, and prospects: a review by Mustapha, Abdul, Ishak, Iskandar, Zaki, Nor Nadiha Mohd, Ismail-Fitry, Mohammad Rashedi, Arshad, Syariena, Sazili, Awis Qurni

“…Meat is a source of essential amino acids that are necessary for human growth and development, meat can come from dead, alive, Halal, or non-Halal animal species which are intentionally or economically (adulteration) sold to consumers. …”
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Precise ICMP Traceback Based On Normal Flow Filtration in Denial of Services Attack by Izaddoost, Alireza

“…To achieve such a goal, this research improves the Intention-driven ICMP traceback model by filtering normal flow in the specific short time and two new algorithms in UDP-based and TCP-based attack are applied. …”
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