Search Results - (( exploring active learning algorithm ) OR ( java application stemming algorithm ))

Computational Thinking (Algorithms) Through Unplugged Programming Activities: Exploring Upper Primary Students’ Learning Experiences by Bih Loong, Lim, Chwen Jen, Chen

“…Studies have shown the effectiveness of UPA in developing CT skills and is comparable to the technology driven learning method. The aim of this study is to explore the experience of primary school students on their learning of algorithms, which is one of the CT skills, through the UPA method. …”
Get full text
Get full text
Get full text
Get full text

Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences by Lim, Bih Loong

“…Studies have shown the effectiveness of UPA in developing CT skills and is comparable to the technology driven learning method. The aim of this research study is to explore the experience of primary school students’ on learning algorithm (one of the CT skills) through UPA. …”
Get full text
Get full text
Get full text

Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model by Sulaiman, Md. Nasir, Mohamed, Raihani, Mustapha, Norwati, Zainudin, Muhammad Noorazlan Shah

“…In this article, we present the exploration on the combination of the clustering based algorithm with an ensemble classification learning. …”
Get full text
Get full text
Get full text

An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction by Shah, Habib

“…Backpropagation (BP) learning algorithm is the well-known learning technique that trained ANN. …”
Get full text
Get full text
Get full text

Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis by Kabir Ahmad, Farzana, Kamaruddin, Siti Sakira, Yusof, Yuhanis, Yusoff, Nooraini

“…Thus, this study proposed a Bat Algorithm (BA) to address the complex learning structure of DBN in detecting sentiment patterns. …”
Get full text
Get full text

Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection by Norfadzlan, Yusup, Izzatul Nabila, Sarbini, Dayang Nurfatimah, Awang Iskandar, Azlan, Mohd Zain, Didik Dwi, Prasetya

“…This research paper explores the performance of binary nature-inspired optimization algorithms as feature selection to enhance the identification of human activities using wearable technology. …”
Get full text
Get full text
Get full text
Get full text

EEG-based emotion recognition using machine learning algorithms by Lam, Yee Wei

“…Thus, this project proposed an optimised machine learning algorithms to classify emotion by analysing brain activity using Electroencephalogram (EEG) signals. …”
Get full text
Get full text

A Systematic Review of Metaheuristic Algorithms in Human Activity Recognition : Applications, Trends, and Challenges by John Deutero, Kisoi, Norfadzlan, Yusup, Syahrul Nizam, Junaini

“…Metaheuristic algorithms have emerged as promising techniques for optimizing human activity recognition (HAR) systems. …”
Get full text
Get full text
Get full text

Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization by Usmani, U.A., Usmani, M.U.

“…It explores fundamental aspects such as network architectures, activation functions, and learning algorithms, analyzing their theoretical foundations. …”
Get full text
Get full text

Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization by Usmani, U.A., Usmani, M.U.

“…It explores fundamental aspects such as network architectures, activation functions, and learning algorithms, analyzing their theoretical foundations. …”
Get full text
Get full text

Analysis of banana plant health using machine learning techniques by Thiagarajan, Joshva Devadas, Kulkarni, Siddharaj Vitthal, Jadhav, Shreyas Anil, Waghe, Ayush Ashish, Raja, S.P., Rajagopal, Sivakumar, Poddar, Harshit, Subramaniam, Shamala

“…This manuscript examines the prediction and detection of diseases in banana leaves, exploring various diseases, machine learning algorithms, and methodologies. …”
Get full text
Get full text
Get full text

Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization by Usmani, Usman Ahmad, Usmani, Mohammed Umar

“…It explores fundamental aspects such as network architectures, activation functions, and learning algorithms, analyzing their theoretical foundations. …”
Get full text
Get full text
Get full text
Get full text

Prediction of breast cancer diagnosis using machine learning in Malaysian women by Mokhtar, Tengku Muhammad Hanis Tengku

“…Thus, this thesis aims to explore the use of machine learning (ML) for breast cancer risk estimation and prediction. …”
Get full text
Get full text

An improved bees algorithm local search mechanism for numerical dataset by Al-Dawoodi, Aras Ghazi Mohammed

“…This algorithm performs a kind of exploitative neighbourhoods search combined with random explorative search. …”
Get full text
Get full text
Get full text

Early Detection Of ADHD Among Children Using Machine Learning by Nur Atiqah, Kamal

“…Machine learning algorithms can analyze fMRI data and identify biomarkers indicative of ADHD, enabling accurate classification. …”
Get full text
Get full text

Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO) by Ahmed, Ehab Ali

“…Weakness such as trapped in local minima, slow convergence and finding a good rate between exploitation and exploration of the search space. This research proposed a swarm intelligence training algorithm, Improved African Buffalo Optimization algorithm (IABO) based on the Metaheuristic method called the African Buffalo Optimization algorithm (ABO). …”
Get full text
Get full text

Mobile robot path planning using q-learning with guided Distance by Ee, Soong Low, Pauline, Ong, Cheng, Yee Low

“…In path planning for mobile robot, classical Q-learning algorithm requires high iteration counts and longer time taken to achieve conver-gence. …”
Get full text
Get full text

Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

“…The knowledge will be stored, used, referred, postulated and reasoned with. Those activities define learning in its own specific domain and context. …”
Get full text
Get full text

Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

“…The computation time complexity of the Q-Learning-based test coverage algorithm was also analyzed. …”
Get full text
Get full text
Get full text

Evaluating the performances of Dice, Jaccard, Overlap, and Cosine coefficients in automated marking of algebraic equations / Hasnah Yusof, Wan Rolini Wan Yusoff and Masita Jamal by Yusof, Hasnah, Wan Yusoff, Wan Rolini, Jamal, Masita

“…Results for the case of correct worked out solutions and the case of incorrect worked out solutions suggest some modifications needed to be done to the existing algorithm before the case of partially correct worked-out solutions are explored. …”
Get full text
Get full text