Search Results - (( knowledge utilization during algorithm ) OR ( java implication based algorithm ))

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

“…One of the key issues of developing an autonomous system is that it requires pre-defined knowledge by an expert. This knowledge is then converted into computer program or by utilizing exhaustively trained and tested Artificial Intelligence (AI) algorithm. …”
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Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm by Ahmad@Mohd Yusoff, Faisul Arif

“…However, in this thesis, the algorithm based on inspiration of the honeybee’s behavior is improved to manage and improve energy utilization of the mobile multi-robot to emulate the working and foraging behavior. …”
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Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance by Allawi, Mohammed Falah, Jaafar, Othman, Mohamad Hamzah, Firdaus, Koting, Suhana, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Agro-ento bioinformation: towards the edge of reality by Syed Hassan, Syed Tajuddin

“…A cycle of progression from using natural controls to made-made utilities and back to enhancing of natural processes is evident as one walks through time and space of history during the development of civilization. …”
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Rule-based filtering algorithm for textual document by Jamil, Nurul Syafidah, Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…Improper filtration might cause terms that have similar meaning to be removed.Thus, to reduce the high-dimensionality of text, this study proposed a filtering algorithm that is able to filter the important terms from the pre-processed text and applied term weighting scheme to solve synonym problem which will help the selection of relevant term.The proposed filtering algorithm utilizes a keyword library that contained special terms which is developed to ensure that important terms are not eliminated during filtration process.The performance of the proposed filtering algorithm is compared with rough set attribute reduction (RSAR) and information retrieval (IR) approaches.From the experiment, the proposed filtering algorithm has outperformed both RSAR and IR in terms of extracted relevant terms.…”
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line by Olufemi, Osaji Emmanuel

“…The hybrid Wavelet Multiresolution Analysis and Machine learning algorithm (WMRA-ML) is used to extracts the useful hidden knowledge from decomposed one-cycle fault transient signals (voltage & current) from four Matlab/Simulink CIGRE models. …”
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An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar by Jaafar, Siti Aisyah

“…Therefore, in this research, the first objective is to develop an algorithm for a remote AR-IoT monitoring system. The algorithm was designed by utilizing C++ and C# coding language. …”
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Fuzzy genetic algorithms for combinatorial optimisation problems by Varnamkhasti, Mohammad Jalali

“…Firstly, a new sexual selection mechanism which utilizing mate chromosome during selection is proposed. …”
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Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

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Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

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Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

“…Then, the data of the maintenance team from one of the utilities provider company in Malaysia was collected to be implemented in the development of a dynamic programming algorithm. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm by Mohd Kasihmuddin, Mohd Shareduwan, Abdul Halim, Nur Shahira, Mohd Jamaludin, Siti Zulaikha, Mansor, Mohd. Asyraf, Alway, Alyaa, Zamri, Nur Ezlin, Azhar, Siti Aishah, Marsani, Muhammad Fadhil

“…Therefore, this work will utilize an artificial neural network to provide knowledge extraction for the online shopping industry or e-commerce platforms that might improve their sales and services. …”
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Smart Attendance: Automated Face Recognition System During Final Examination in UTP by Paramasivam, Puniswary

“…In addition, knowledge on required algorithm are described on this report too. …”
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Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

“…This problem remains an active area of research and, to the authors' knowledge, has not been adequately addressed by the WOA algorithm. …”
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Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

“…This problem remains an active area of research and, to the authors’ knowledge, has not been adequately addressed by the WOA algorithm. …”
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Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing by Sethi, Muhammad Athar Javed, Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

“…With the help of TDM, multiple connections are possible between multiple sources and multiple destinations, which efficiently utilize the NoC bandwidth between PEs. To the best of our knowledge, TDM based bio-inspired NoC is the first algorithm to address the fault tolerance using the TDM approach as the average packet latency is increased by 2.45%, while the average bandwidth and throughput is reduced by 1.86% and 14.05% respectively during the recovery of faults. …”
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Biologically inspired network on chip fault tolerant algorithm using time division multiplexing by Sethi, M.A.J., Hussin, F.A., Hamid, N.H.

“…With the help of TDM, multiple connections are possible between multiple sources and multiple destinations, which efficiently utilize the NoC bandwidth between PEs. To the best of our knowledge, TDM based bio-inspired NoC is the first algorithm to address the fault tolerance using the TDM approach as the average packet latency is increased by 2.45, while the average bandwidth and throughput is reduced by 1.86 and 14.05 respectively during the recovery of faults. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…The Machine Learning Method is utilized for this task, which gives the computer the ability to learn. …”
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