Search Results - (( system perceived learning algorithm ) OR ( java implication based algorithm ))

An automated strabismus classification using machine learning algorithm for binocular vision management system by Rohismadi, Muhammad Amirul Isyraf, Mat Raffei, Anis Farihan, Zulkifli, Nor Saradatul Akmar, Ithnin, Mohd. Hafidz, Othman, Shah Farez

Get full text
Get full text
Get full text
Get full text
Get full text

An automated strabismus classification using machine learning algorithm for binocular vision management system by Muhammad Amirul Isyraf, Rohismadi, Anis Farihan, Mat Raffei, Nor Saradatul Akmar, Zulkifli, Mohd. Hafidz, Ithnin, Shah Farez, Othman

Get full text
Get full text
Get full text
Get full text

Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System by Muhammad Amirul Isyraf, Rohismadi

“…Thus, with the Agile methodology, the Binocular Vision Management system is proposed which comprised of two components, a web-based component for patient, treatment, and appointment management, and a machine learning component for automating the strabismus classification by using case-based reasoning algorithm. …”
Get full text
Get full text

Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar... by Shamsudin, Muhammad Azziq, Aminuddin, Raihah, Abdul Jalil, Ummu Mardhiah

“…Their facial expression is measure and determine based on Rating of Perceived Exertion (RPE) scale. The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
Get full text
Get full text
Get full text

Fostering motivation in TVET students: the role of learner-paced segments and computational thinking in digital video learning by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya, Syed Zulkarnain Syed Idrus, Mohd Noorul Fakhri Yaacob

“…This study aims to address this gap by examining how learner-paced predefined segments and CT algorithmic thinking can impact TVET students' perceived motivation. …”
Get full text
Get full text
Get full text

Thyroid Insight: navigating disease data through interactive visualization with prediction by Osman, Mohd Nizam, Md Nasib, Azim, Sedek, Khairul Anwar, Othman, Nor Arzami, Maghribi, Mushahadah

“…It follows a structured methodology, including planning, analysis, design, development, and testing, using data from Kaggle and the UCI Machine Learning Repository. The dashboard employs Microsoft Power BI for visualizations and the Random Forest algorithm for predictive modelling. …”
Get full text
Get full text
Get full text

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Imitation learning through self-exploration : from body-babbling to visuomotor association / Farhan Dawood by Dawood, Farhan

“…The results show that the imitation learning algorithm is able to incrementally learn and associate the observed motion patterns based on the segmentation of motion primitives.…”
Get full text
Get full text

User interface and interactivity design guidelines of algorithm visualization on mobile platform by Supli, Ahmad Affandi

Get full text
Get full text
Get full text
Get full text

Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends by Neetu, Sharma

“…Factor and correlation analyses examined the relationships among perceived authenticity, consumer trust, and purchase behavior. …”
Get full text
Get full text
Get full text
Get full text

Integration of MFCCS and CNN for multi-class stress speech classification on unscripted dataset by Zainal, Nur Aishah, Asnawi, Ani Liza, Jusoh, Ahmad Zamani, Ibrahim, Siti Noorjannah, Mohd. Ramli, Huda Adibah

“…This highlights the efficacy of the proposed MFCCs-CNN system in stress classification.…”
Get full text
Get full text
Get full text

Enhancing fairness and efficiency in teacher placement based on staff placement model: an intelligent teacher placement selection model for Ministry of Education Malaysia by Shamsul Saniron, Zulaiha Ali Othman, Abdul Razak Hamdan

“…The effectiveness of ITPS was evaluated using five machine learning algorithms: J48, Decision Tree, Naïve Bayes, Random Forest, and K-Nearest Neighbors. …”
Get full text
Get full text
Get full text

Integration of MFCCS and CNN for multi-class stress speech classification onunscripted dataset by Zainal, Nur Aishah, Asnawi, Ani Liza, Jusoh, Ahmad Zamani, Ibrahim, Siti Noorjannah, Mohd. Ramli, Huda Adibah

“…This highlights the efficacy of the proposed MFCCs-CNN system in stress classification.…”
Get full text
Get full text
Get full text
Get full text
Get full text

Rain classification for autonomous vehicle navigation : A support vector machine approach by Abdul Haleem, Habeeb Mohamed, Muhammad Aizzat, Zakaria, Mohd Azraai, Mohd Razman, Anwar P. P., Abdul Majeed, Mohamad Heerwan, Peeie

“…The immerging of machine learning algorithms that have greatly impacted solving uncertainties and LIDAR's reliability in making judgments has proven a great success. …”
Get full text
Get full text
Get full text

Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia by A Rahim, Afiq Izzudin

“…Conclusion: Using data acquired from FB reviews and machine learning algorithms, a pragmatic and practical strategy for eliciting patient perceptions of service quality and supplementing standard patient satisfaction surveys has been created. …”
Get full text
Get full text

Exploring university students' utilization of AI tools in academic assignments: benefits, challenges, and ethical considerations by Khedher, Akram M Z M, Tarshany, Yasser, Wasiq, Shafiullah, Al-Taei, Mohammad Hameed Ahmed, Alhazmi, Abdulsalam K.

“…Encouraging collaboration between educators, and AI expert’s system are crucial for restructured design innovative learning environments that fully fit with academic goals and values. …”
Get full text
Get full text
Get full text
Get full text

Real-time oil palm fruit bunch ripeness grading system using image processing techniques by Alfatni, Meftah Salem M.

“…In this research, a real time oil palm grading system was built and an image processing techniques algorithm was developed based on the external features of oil palm fresh fruit bunches (FFB) such as colour, texture, and thorns. …”
Get full text
Get full text