Search Results - (( evolution optimization interface algorithm ) OR ( ais implementation level algorithm ))

Application of minimax algorithm in dots and boxes game by Tan, Ah Hwa

“…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
Get full text
Get full text

Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

“…The approach is realised within SISO and SIMO AVC structures using RCGA, PSO and AIS algorithms. These are implemented on the flexible plate structure with various disturbance signals. …”
Get full text
Get full text

A secure trust aware ACO-Based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A., Hassan Abdalla Hashim, Aisha

“…The performance of the proposed routing algorithm is demonstrated through MATLAB. Based on the proposed system, to find the secure and optimal path while aiming at providing trust in IoT environment, the average energy consumption is minimized by nearly 50% even as the number of nodes has increased, as compared with the conventional ACO algorithm, a current ant-based routing algorithm for IoT-communication, and a present routing protocol RPL for IoT.…”
Get full text
Get full text
Get full text

Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

“…After that, a bi-objectives algorithm is tested for comparing purposes and this contributed for the next two sub-objectives that is 3) to test the feasibility for implementing the PDE hybrid FFNN. 4) to compare single objective and multi-objective optimization algorithms performances. …”
Get full text
Get full text
Get full text

Improved coupled tank liquid levels system based on hybrid genetic-immune adaptive tuning of PI controller by S. M., Nawi, Abdalla, Ahmed N., Mohd Syakirin, Ramli

Get full text
Get full text
Get full text

Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

“…AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
Get full text
Get full text
Get full text

Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

“…AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
Get full text
Get full text
Get full text
Get full text
Get full text

From Employees to Entrepreneurs: A Qualitative Exploration of Career Transitions in Ghana by Gerhana, Yana Aditia

“…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
Get full text
Get full text
Get full text
Get full text

AI recommendation penetration testing tools for password attacks: random forest by Rozman, Nurulasyiqin, Saad, Shahadan

“…This project developed an AI-based recommendation system using the Random Forest algorithm to address the complexities of selecting appropriate penetration testing tools for password attacks. …”
Get full text
Get full text
Get full text

An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions by Gerhana, Yana Aditia

“…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
Get full text
Get full text
Get full text
Get full text

A technical perspective on integrating artificial intelligence to solid‑state welding by Yaknesh, Sambath, Rajamurugu, Natarajan, Babu, Prakash K., Subramaniyan, Saravanakumar, Khan, Sher Afghan, Saleel, C. Ahamed, Alam, Mohammad Nur‑E, Soudagar, Manzoore Elahi Mohammad

“…In UW, ANN, Hybrid ANN, and ML models predict output parameters with accuracy levels ranging from 85 to 96%. Integrating AI techniques with optimization algorithms, for instance, GA and Particle Swarm Optimization (PSO) significantly improves accuracy, enhancing parameter prediction and optimizing UW processes. …”
Get full text
Get full text
Get full text
Get full text

Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: a review by Mohammed Musta, Njiti, Osman, Noor Diyana, Mansor, Mohd Syahir, Rabaiee, Nor Ain, Abdul Aziz, Mohd Zahri

“…Current DLR implementations like TrueFidelity and Advanced Intelligent Clear-IQ Engine (AiCE) demonstrate promising outcomes. …”
Get full text
Get full text
Get full text
Get full text
Get full text

A Study on Gradient Boosting Algorithms for Development of AI Monitoring and Prediction Systems by Aziz, N., Akhir, E.A.P., Aziz, I.A., Jaafar, J., Hasan, M.H., Abas, A.N.C.

Get full text
Get full text

An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low-inertia grids by Yiizzan, Suffian, Ahmed Mohamed, Ahmed Haidar, Wan Azlan, Wan Zainal Abidin, Hazrul, Mohamed Basri

“…The framework has been validated on interconnected Simulink models running in a real-time cloud platform with data collected from local systems, interfaced in a closed-loop test environment. The proposed algorithm demonstrates outstanding performance in maintaining system stability under various operating conditions. …”
Get full text
Get full text
Get full text
Get full text

A technical perspective on integrating artificial intelligence to solid‑state welding by Yaknesh, Sambath, Rajamurugu, Natarajan, Babu, Prakash K., Subramaniyan, Saravanakumar, Khan, Sher Afghan, Saleel, C. Ahamed, Nur‑E‑Alam, Mohammad, Soudagar, Manzoore Elahi Mohammad

“…In UW, ANN, Hybrid ANN, and ML models predict output parameters with accuracy levels ranging from 85 to 96%. Integrating AI techniques with optimization algorithms, for instance, GA and Particle Swarm Optimization (PSO) significantly improves accuracy, enhancing parameter prediction and optimizing UW processes. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text

Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function by Tan, Min Keng

“…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
Get full text
Get full text
Get full text

Techniques and strategies to minimize radiation exposure in pediatric computed tomography (CT) abdominal examinations: a review by Sayed, Inayatullah Shah, Mohd Yusof, Muhammad Irfan

“…To reduce the ionizing radiation dose while still obtaining high-quality diagnostic images, healthcare practitioners should adhere to DRL, adjust exposure factors, implement prefiltration, employ AI, and use post-processing algorithms.…”
Get full text
Get full text
Get full text

Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients by Nor Maniha, Abdul Ghani, Lim, Wei Jie, Hoh, Wei Siang, Salmah Anim, Abu Hassan

“…Silent hypoxia is a condition where patients have an extremely low oxygen level but do not show any symptoms of breathlessness. …”
Get full text
Get full text
Get full text

Artificial neural controller synthesis for TORCS by Shi, Jun Long

“…As a conclusion, this research has shown that the DE hybrid FFNN algorithm and PDE hybrid FFNN algorithm are useful and promising in evolving autonomous car racing controller.…”
Get full text
Get full text

A simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information sy... by Ming L.L.