Search Results - (( intelligence system rs_ algorithm ) OR ( intelligence based course algorithm ))

Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

“…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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Heuristic factors in ant system algorithm for course timetabling problem by Djamarus, Djasli, Ku-Mahamud, Ku Ruhana

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Performance Analysis In IoT Based Home Automation Using Hybrid RS-LDPC Codes by Ng, Lay Wei

“…In order to address this problem, this work starts to evaluate the performance of different code rates for LDPC codes used in the preparation for Hybrid combination of Reed-Solomon (RS) and Low-Density Parity-Check (LDPC) codes. The thesis proposes an error detection and correction algorithms using Hybrid RS-LDPC codes for the channel encoding and decoding in the home automation system. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

“…The objective of this study was to solve the robot dynamic hybrid control problem using intelligent computational processes. In the course of problem- solving, biologically inspired models were used. …”
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Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system by Leow, R.S., Ibrahim, F., Moghavvemi, M.

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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study by Lestari, Widya, Abdullah, Adilah Syahirah, Ahmad Amin, Afifah Munirah, faridah, Nur, Sukotjo, Cortino, Ismail, Azlini, mohamad ibrahim, mohamad shafiq, Insani, Nashuha, Utomo, Chandra Prasetyo

“…Purpose/Objectives: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clinical dental students based on admission results using artificial intelligence machine learning (ML) models, and Pearson correlation coefficient (PCC). …”
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Temperature Control for Engineering Undergraduate Fuzzy Logic Labotary by Mohd Fadzil Abu Hassan, Yusman Yusof, Muhammad Sobri Ramli

Green network planning and operational power consumption optimization in LTE-A using artificial intelligence by Al-Samawi, Aida Ismail Ahmed

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Spear- phishing attack detection using artificial intelligence by Rajkumaradevan, Sanglidevan

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Hybrid Metaheuristic Algorithm and Metaheuristic Performance Measurement for Solving University Course Timetabling Problem by Md Sultan, Abu Bakar

“…Metaheuristics have received considerable interest in the fields of applied artificial intelligence and combinatorial optimization such as university course timetabling problem (UCTP). …”
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Model-free wind farm control based on random search by Mohd Ashraf, Ahmad, Hao, Mok Ren, Raja Mohd Taufika, Raja Ismail, Ahmad Nor Kasruddin, Nasir

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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph by Joseph, Jacqueline

“…The course was divided into two groups, an experimental group and a control group. …”
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Intelligent traffic lights using Q-learning by Mohd Yusop, Muhammad Aminuddin, Mansor, Hasmah, Gunawan, Teddy Surya, Nasir, Haidawati,

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Optimize single line to ground fault detection in distribution grid power system using artificial bee colony by Feryal Ibrahim Jabbar, Feryal Ibrahim Jabbar, Dur Muhammad Soomro, Dur Muhammad Soomro, Mohd Noor Abdullah, Mohd Noor Abdullah, Nur Hanis Mohammad Radzi, Nur Hanis Mohammad Radzi, Mazhar Hussain Baloch, Mazhar Hussain Baloch, Asif Ahmed Rahmoon, Asif Ahmed Rahmoon, Hassan Falah Fakhruldeen, Hassan Falah Fakhruldeen

“…ABC intelligently optimizes many mathematical problems. ABC with network neural artificial intelligence (AI) improves algorithm performance (artificial bee colony network neural (ABCNN)). …”
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis by Rochin Demong, Nur Atiqah, Mohamed Razali, Murni Zarina, Kamaruddin, Juliana Noor, Shamsuddin, Sazwan, Awang, Nor Ain, Kamarudin, Norjuliatie, Wan Othman, Noor Faradilla

“…Complementary K-Means clustering grouped the data into two major clusters, indicating that a clear differentiation between economic-based and entrepreneurship-based courses in terms of student enrolment volume and approval distribution. …”
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Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

“…The paper describes the development of intelligent chatbots that had been built for Java programming course. …”
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Pemodelan data indeks komposit Kuala Lumpur menggunakan neurofuzzy by Mohd. Yunos, Zuriahati

“…Recently, Artificial Intelligence (AI) such as Artificial Neural Networks (ANN), Genetic Algorithms (GA), Fuzzy Logic (FL) and Rough Set (RS) are widely used by the researchers due to their ability to predict the behaviour of the stock market efficiently. …”
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Handbook of Machine Learning for Computational Optimization: Applications and Case Studies by Jain, V., Juneja, S., Juneja, A., Kannan, R.

“…Individuals looking for machine learning-based knowledge will find interest in this handbook. …”
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Improving Patient Rehabilitation Performance In Exercise Games Using Collaborative Filtering Approach by Waidah Ismail, Ismail Ahmed Al-Qasem Al-Hadi, Crina Grosan, Rimuljo Hendradi

Stress mental health symptom assessment mobile application for young adults by Lee, Chun Hoong

“…Moreover, users can provide more inputs based on their feelings throughout the day. One of the primary functionalities of the application is to incorporate a machine learning algorithm which is K-Nearest Neighbor (KNN) classification technique for panic attack prediction feature to enhance the emotional identification and offering users an artificial intelligence (AI) chatbot. …”
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