Search Results - (( user perspective learning algorithm ) OR ( java implication based algorithm ))

User-centric learning for multiple access selections by Dzulkifli, Sumayyah, Hashim, Wahidah, Ismail, Ahmad Fadzil, Dohler, Mischa

“…The second stage involved utilizing a reinforcement learning algorithm known as q-learning, to learn from feedbacks to identify optimal decision in reaching user-centric requirement goal. …”
Get full text
Get full text
Get full text
Get full text

User-centric learning for multiple access selections by Dzulkifly S., Hashim W., Ismail A.F., Dohler M.

“…The second stage involved utilizing a reinforcement learning algorithm known as q-learning, to learn from feedbacks to identify optimal decision in reaching user-centric requirement goal. …”

Online sequential extreme learning machine algorithm based human activity recognition using inertial data by Al Jeroudi, Yazan, Ali, M. A., Latief, Marsad, Akmeliawati, Rini

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

An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective by Liew, Chun Kin, Goh, Ching Pang

Get full text
Get full text
Get full text

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

A study on personalized recommender system using social media by Aishnivya, Balamurugan

“…The evaluation on these algorithm is done to evaluate accuracy of the algorithm. …”
Get full text
Get full text

An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective by Liew, Chun Kin, Goh, Ching Pang

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

A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network by Mustapha, Ibrahim

“…In this thesis, a Reinforcement Learning (RL) based clustering algorithm is proposed to address energy and Primary Users (PUs) detection challenges in CR-WSN. …”
Get full text
Get full text

Exploring election prediction outcomes on social media data using machine learning algorithms by Zainol, Zuraini, Ismail, Amelia Ritahani, Nohuddin, Puteri Nor Ellyza, Sulaiman, Riza

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

An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.] by Hasnan, Mazliana, Othman, Zainab, Mohamad, Norizan, Abdullah, Zamlina

Get full text
Get full text

Query disambiguation approach using triple-filter by Agaie, Aliyu Isah

“…The proposed triple-filter disambiguation approach inculcates a learning mechanism that continues to automatically learn from user queries and continuously improves its performance capability. …”
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

A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan by Kesavan , Krishnan

“…Meanwhile, in the past decade, the use of haptic technology in autism has increased in terms of various disciplines that can assist in improving their learning skills. Nevertheless, the use of haptic technology in terms of spatial learning is still not fully utilized, and this weakens autistic people in the process of learning about their surroundings. …”
Get full text
Get full text
Get full text

Smart Attendance: Automated Face Recognition System During Final Examination in UTP by Paramasivam, Puniswary

“…In addition, knowledge on required algorithm are described on this report too. As per the requirement gathering phase, interviews of the staffs from Examination Unit as well as surveys for the UTP students and lecturers are conducted to obtain the feedback and the perspectives on this system. …”
Get full text
Get full text

'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Al... by Eka Wahyu, Aditya, Nur Haryani, Zakaria, Fazli, Azzali, Mohamad Nazim, Jambli

“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
Get full text
Get full text
Get full text

Visualizing pandemics with calendar heatmaps : a case study of COVID-19 in Malaysia by Zolkepli, Maslina, Ramlan, Isa

Get full text
Get full text
Get full text

A review of fog computing and machine learning: Concepts, applications, challenges, and open issues by Abdulkareem K.H., Mohammed M.A., Gunasekaran S.S., Al-Mhiqani M.N., Mutlag A.A., Mostafa S.A., Ali N.S., Ibrahim D.A.

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

“…In the backdrop of increasing sustainability awareness among Indian consumers, this study explores the role of machine learning (ML) in optimizing green influencer marketing strategies to drive eco-conscious purchasing. …”
Get full text
Get full text
Get full text
Get full text

'Chapter 10: 5G-enabled IoT applications in healthcare: Transforming the Industry 5.0 healthcare landscape' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 T... by Mohamad Nazim, Jambli, Mohamad Zul Haziq, Mohd Fadzli, Sinarwati, Mohamad Suhaili, Nur Haryani, Zakaria

“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
Get full text
Get full text
Get full text