Image Analysis through the lens of ChatGPT-4

OV Johnson, OM Alyasiri, OE Johnson - Journal of Applied Artificial …, 2023 - sabapub.com
Numerous studies have delved into the applications of ChatGPT across various domains
such as medicine, sports, education, and business analysis. ChatGPT emerges as a …

CRATSM: An Effective Hybridization of Deep Neural Models for Customer Retention Prediction in the Telecom Industry: Manuscript Received: 8 April 2024, Accepted …

JO Victor, XY Chew, KW Khaw… - Journal of Engineering …, 2024 - journals.mmupress.com
In the dynamic field of Customer Retention Prediction (CRP), strategic marketing and
promotion efforts targeting specific customers are crucial. Understanding customer behavior …

An Airline Passenger Satisfaction Prediction by Genetic-Algorithm-Based Hybrid AutoEncoder and Machine Learning Models

YH Lee, VJ Olanrewaju, XY Chew… - … and Applications in …, 2024 - researchportal.hw.ac.uk
The evolving landscape of the Business-to-Client (B2C) model across the globe is
reshaping service delivery paradigms and transforming consumer perceptions of service …

Enhancing Land Management through U-Net Deep Learning: A Case Study on Climate-Related Land Degradation in Berembun Forest Reserve in Malaysia

YJ Chew, SY Ooi, S Mohd-Razali, YH Pang… - JOIV: International Journal …, 2024 - joiv.org
In the face of accelerating climate change, effective management of land resources needs
innovative technological approaches. This study, conducted in the Berembun Forest …

[PDF][PDF] Investigating the Relationship between the Influencing Fire Factors and Forest Fire Occurrence in the Districts of Rompin, Pekan, and Kuantan in the State of …

YJ Chew, SY Ooi, YH Pang, ZY Lim - International Journal on …, 2023 - researchgate.net
Forest fires pose a significant threat to ecosystems and human livelihoods. Understanding
the role of climatic factors in fire occurrence is crucial for effective fire management and …

Uncovering the Most Effective Pedagogical Techniques for Math Education Using Machine Learning

SS Elnaffar, M Fawey - JOIV: International Journal on Informatics …, 2024 - joiv.org
Many new math educators express that their first years in the teaching field are extremely
challenging. They struggle to discover and apply the most effective teaching techniques and …

Machine Learning-Driven Stroke Prediction Using Independent Dataset

FNB Zahari, K Ramakrishnan - JOIV: International Journal on Informatics …, 2024 - joiv.org
The incidence of stroke cases has witnessed a rapid global rise, affecting not only the
elderly but also individuals across all age groups. Accurate prediction of stroke occurrence …

Comparison of Machine Learning Methods for Calories Burn Prediction

ATJ Sheng, ZC Embi, N Hashim - Journal of Informatics and …, 2024 - journals.mmupress.com
This paper focuses on the prediction of calories burned during exercise using machine
learning techniques. Due to a growing number of obesity and overweight people, a healthy …

Credit Scoring Prediction Using Boruta Feature Selection with Different Sampling Techniques

M Ganiyu, OE Johnson… - … Conference on Science …, 2024 - ieeexplore.ieee.org
The Credit Scoring prediction model is crucial for effective financial risk management.
Mishandling financial risk management can lead to significant losses for the organization …