Search Results - machine ((making problem) OR (learning problems))

A machine learning approach to tourism recommendations system by Chia, An

“…This project aims to develop a tourism attractions recommendation system by integrating machine learning recommendation algorithms. The main problem encountered when developing a powerful recommendation system is cold start problem, data sparsity and scalability problems. …”
Get full text
Get full text

A New Probabilistic Output Constrained Optimization Extreme Learning Machine by Wong S.Y., Yap K.S., Li X.C.

“…Benchmarking; Classification (of information); Constrained optimization; Decision making; Electric power systems; Iterative methods; Knowledge acquisition; Learning algorithms; Pattern recognition; Probability; Confidence threshold; Decision making process; Extreme learning machine; Machine learning approaches; Pattern classification problems; Post-processing procedure; Power system applications; Probabilistic output; Machine learning…”

Modeling of Laser Materials Processing by Artificial Neural Network Modeling and Experimental Validation by Sivarao, Subramonian

“…The researchers conducted the prediction of C02 laser cut quality to obtain singleton output using machine learning techniques. The researchers investigated a problem solving scenario for a metal cutting industry which faces some problems in determining the end quality final part considering several real life machining scenarios with some expert knowledge input from the industry and machine technology features. …”
Get full text
Get full text

Neural Network Multi Layer Perceptron Modeling For Surface Quality Prediction in Laser Machining by Sivarao, Subramonian

“…Uncertainty is inevitable in problem solving and decision making. One way to reduce it is by seeking the advice of an expert in related field. …”
Get full text
Get full text

Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. …”
Get full text
Get full text

Hidden markov model for decision making among heterogeneous systems in intelligent building by Abba, Babakura

“…HMM is chosen due to the characteristics it possesses such as probabilistic, statistical, machine learning as well as its robustness and scalability has been seen as an efficient and effective model to tackle the problem of interoperation in the intelligent building. …”
Get full text
Get full text

Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

“…These chatbots support learning of Java via problem-solving steps through “learning by doing”. …”
Get full text
Get full text

MACHINE LEARNING-BASED PREDICTIVE MODEL FOR FUTURE SAVINGS: ANALYZING MONTHLY CONSUMPTION AND EARNINGS by Shaiful Rahimi, Muhammad Norhazim

“…This project aims to address key challenges in the contemporary financial landscape by leveraging AI and ML techniques to provide innovative solutions for financial planning and decision-making. The project begins with an exploration of AI fundamentals, including problem-solving methodologies and machine-learning concepts. …”
Get full text
Get full text

The rise of software vulnerability: Taxonomy of software vulnerabilities detection and machine learning approaches by Hazim, Hanif, Mohd Hairul Nizam, Md Nasir, Mohd Faizal, Ab Razak, Ahmad, Firdaus, Nor Badrul, Anuar

“…This indicates that there is still much work to be done in terms of code and dataset problems in the future. Furthermore, this paper extends the machine learning approaches taxonomy, which is used to detect the software vulnerabilities, like supervised learning, semi-supervised learning, ensemble learning and deep learning. …”
Get full text
Get full text
Get full text

Nurrinaz.co: case study: company analysis / Tengku Nur Akasyah Tuan Soh ... [et al.] by Tuan Soh, Tengku Nur Akasyah, Norzelan, Nurdina Husna, Salim, Intan Zulaikha, Razak, Nurulhuda

“…The second problem that Nurrinaz.Co is facing is lack of machine. …”
Get full text
Get full text

A novel framework for identifying twitter spam data using machine learning algorithms by Maziku, Susana Boniphace, Abdul Rahiman, Amir Rizaan, Muhammed, Abdullah, Abdullah @ Selimun, Mohd Taufik

“…Previous studies have approached spam detection as a classification problem, high dimension, time-consuming problem, which requires new methods to address the problems. …”
Get full text
Get full text
Get full text

Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network by Sivarao, Subramonian

“…One way to reduce uncertainty in problem solving and decision making is by seeking the advice of an expert in related field. …”
Get full text
Get full text

Model hijacking exploitation and mitigation by Chew, Zi Ying

“…In today's digital era, the utilization of machine learning has proliferated, making it an invaluable tool across various automotive applications. …”
Get full text
Get full text

Model hijacking exploitation and mitigation by Chew, Zi Ying

“…In today's digital era, the utilization of machine learning has proliferated, making it an invaluable tool across various automotive applications. …”
Get full text
Get full text

The potential of machine learning in computer aided geometric design / Siti Sarah Raseli and Assoc. Prof. Dr Ahmad Lutfi Amri Ramli by Raseli, Siti Sarah, Ramli, Ahmad Lutfi Amri

“…The techniques proposed from machine learning are widely used to solve problems that arise in many fields and industries. …”
Get full text
Get full text

Precognito: the emergence of blockchain & machine learning-based for student record authentication system by Murtaj, Sheikh Mohammad Tahsin, Mohammed, Mohammed, Abubakar Yusif, Abubakar, Yahya, Norzariyah, Abdulghafor, Rawad

“…This project aims to create a tool that combines two cutting-edge technologies, machine learning (ML) and blockchain, to combat problems like degree and transcript forgery. …”
Get full text
Get full text
Get full text

Snapnutrition as education and nutrition improvement for Indonesian people through machine learning technology / Akhmad Lazuardi ... [et al.] by Lazuardi, Akhmad, Dyanti, Ghina Putri, Bobi, Nurdiyahya, Asrori, Muhammad Misbachul, Damayanti, Safira Aisyah, Al Hafidz, Fakhrul Ali

“…The making of this work aims to solve the problem of nutrition in Indonesia. …”
Get full text
Get full text

Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems: A Medical Case Study by Got, Adel, Zouache, Djaafar, Moussaoui, Abdelouahab, Laith, Abualigah *, Alsayat, Ahmed

“…Support Vector Machine (SVM) has become one of the traditional machine learning algorithms the most used in prediction and classification tasks. …”
Get full text
Get full text

Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar by Abu Bakar, Nordin (Prof. Madya Dr.)

“…The learning process creates knowledge that guides a person to make the decisions. …”
Get full text
Get full text

Stock indicator scanner customization tool by Cheah, Shing Dhee

“…This is mainly to combine the power of the machine learning algorithms with the domain knowledge of investors to make more meaningful prediction rather than supply random technical indicators as input of the model like previous work. …”
Get full text
Get full text