Search Results - (( java iteration method algorithm ) OR ( policy implementation learning algorithm ))

Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
Get full text
Get full text
Get full text
Get full text

Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
Get full text
Get full text

Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

“…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
Get full text
Get full text

SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

“…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
Get full text
Get full text

Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

“…New Iterative Alternating Group Explicit (NAGE) is a powerful parallel numerical algorithm for multidimensional temperature prediction. …”
Get full text
Get full text
Get full text

Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…This work employed the use of machine learning approach. Four conventional classification algorithms: naïve bayes (NB), support vector machines (SVM), nearest neighbor (k-NN), and decision trees (J48) classifiers are implemented in identifying and categorizing tweet data of three political figures in Malaysia: Dato Seri Anwar, Dato Hadi Awang, and Lim Guang Eng, as either positive, negative, or neutral perceptions. …”
Get full text
Get full text
Get full text

Volunteer Management System by Muhammad Fazril Bin Mohd Amin, Muhammad Fazril

“…The project will adopt the Iterative and incremental development methodology, which promotes constant reevaluation, and will be built on the java programming language and developed on the Netbeans IDE, for the GUI and algorithm implementation. …”
Get full text
Get full text

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights by Seyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, Zahra Sobhaninia, Afshin Shoeibi, Fahime Khozeimeh, Zahra Alizadeh Sani, Ru-San Tan, Abbas Khosravi, Saeid Nahavandi, Nahrizul Adib Kadri, N. Arunkumar, U.Rajendra Acharya, Muhammad Mokhzaini Azizan

A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm by Anuar, Wadi Khalid, Lee, Lai Soon, Seow, Hsin Vonn, Pickl, Stefan

“…The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
Get full text
Get full text

Poverty risk prediction based on socioeconomic factors using machine learning approach by Mohd Zawari, Nur Farhana Adibah

“…Although the research is limited with respect to its sample size and geographical scope, it has provided important findings that can be used when implementing data-driven methods in social policy formulation and poverty mitigation strategies.…”
Get full text
Get full text

Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

“…As a result, the simulation environment makes it possible to collect massive training datasets. Improving learning driving policies can be adopted fast in the actual world. …”
Get full text
Get full text

Ethical considerations for equitable outcome-based education in the Metaverse: a qualitative study by Mohamed Sofiadin, Aidrina

“…Semi-structured interviews were conducted with 11 XR experts across education, design, and policy domains. Thematic analysis revealed three primary ethical concerns: digital access inequities, bias in assessment algorithms, and privacy and data governance risk. …”
Get full text
Get full text
Get full text

Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic by Jiao, BianBian, Leelavathi, R., Lohgheswary, N., Nopiah, Z. M.

“…It will be of great significance for the introduction and implementation of national policies.…”
Get full text
Get full text
Get full text

Smart student timetable planner by Wong, Xin Tong

“…Timetable planning is a crucial yet challenging task for university students, as traditional manual methods are often time-consuming, prone to errors, and lack collaborative support. …”
Get full text
Get full text

Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

“…Thus, the iPath by added the energy efficiency enables the reconstruction of the per-packet routing paths of large-scale networks, by providing a stable and efficient route to exchange messages between source and destination in a timely manner. This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
Get full text
Get full text
Get full text

Ethical considerations for equitable outcome-based education in the metaverse: a qualitative study by Mohamed Sofiadin, Aidrina

“…Semi-structured interviews were conducted with 11 XR experts across education, design, and policy domains. Thematic analysis revealed three primary ethical concerns: digital access inequities, bias in assessment algorithms, and privacy and data governance risk. …”
Get full text
Get full text
Get full text

Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman

“…In order to address this challenge, a simulation was implemented in the Unity3D game engine and two state-of-the-art RL algorithms PPO (Proximal Policy Optimization) and SAC (Soft Actor-Critic) were trained by an agent using Unity ML-Agents Toolkit. …”
Get full text
Get full text
Get full text

Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

“…This model serves as a practical guide for educators and stakeholders aiming to implement AI-enhanced pedagogies responsibly. Ultimately, the study underscores the need for interdisciplinary collaboration among educators, policymakers, and technology developers to foster sustainable and inclusive learning environments. …”
Get full text
Get full text
Get full text

Improving The Institutional Research and Publication Performances Using Clustering Algorithm by Mohmad Kamal, Fazillah, Omar, Mohd Faizal, Jamil, Jastini

Get full text
Get full text

Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks by Khalisha, Ariyani, Silvia, Ratna, M., Muflih, Haldi, Budiman, Noor, Azijah, M.Rezqy, Noor Ridha

“…These findings underscore the critical role of machine learning in formulating effective policies for poverty alleviation and suggest that integrating multiple machine learning algorithm can significantly enhance decision-making processes. …”
Get full text
Get full text
Get full text
Get full text