Search Results - (( intelligence based coding algorithm ) OR ( intelligence based research algorithm ))

Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar by Subri, Syarul Haniz

“…Based on the analysis, the algorithm of neural network classifier corner detector for FCC was found to have more potentials in terms of accuracy of corner detection and suitability of the chain code. …”
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Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation by Teo, Kenneth Tze Kin, Chin, Renee, Ka Yin, Chua, Bih Lii, Tan, Shee Eng, Lee, Chun Hoe, Yeo Kiam Beng @ Abdul Noor, Rosalam Sarbatly, Goh, Hui Hwang, Yew, Hoe Tung

“…Genetic algorithm (GA) is introduced to further optimise the resources for network coding by searching optimum transmission route. …”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

“…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…The algorithm requires source codes comparison based on keyword similarity to extract the words that exist in the two related source codes. …”
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

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A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

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A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

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Computational problem solving architectural design based on multi-agent. by Rajabi, Maryam, Mohd Aris, Teh Noranis, Sulaiman, Md. Nasir

“…Nevertheless, computational problem solving systems are not as applicable as enough to be contributed to complex problems craving intelligent analysis.So, intelligent agents tie with problem solving met hods to conquer the mentioned issue. …”
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An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Abdul Majid, Zanariah

“…Recently, one artificial intelligence technique, known as artificial neural network (ANN), has brought advanced development to the arena of mathematical research. …”
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A new islanding detection technique based on passive parameter using a combination of artificial neural network and evolutionary programming algorithm / Hasmaini Mohamad …[et al.]... by Mohamad, Hasmaini, Ab Salam, Aimie Nadia, Md Razali, Norhasniza, Salim, Nur Ashida, Mat Yasin, Zuhaila

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Old Jawi manuscript: Digital recognition / Zaidi Razak by Zaidi, Razak

“…The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

“…The scripting language is designed and developed based on the algorithm structure that is defined in the proposed implementation frameworks with the dynamic parameterization. …”
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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

“…In recent years, there has been increasing interest in intelligent optimization algorithms, such as the Whale Optimization Algorithm (WOA). …”
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Development of an intelligent multimodal biometric system for household appliances control by Abiodun musa, Aibinu

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Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations by Ibrahim, Nur Shahidatul Nabila, Suppiah, Subapriya, Ibrahim, Buhari, Mohad Azmi, Nur Hafizah, Seriramulu, Vengkatha Priya, Mohamad, Mazlyfarina, Hanafi, Marsyita, Mohammad Sallehuddin, Hakimah, Omar Sharif, Nurallysha Najwa, Razali, Rizah Mazzuin, Harrun, Noor Harzana

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AI recommendation penetration testing tool for SQL injection: linear regression by Ahmad Fuad, Norshahira Elliyana, Saad, Shahadan

“…The issue statement highlight the importance of updating security measures to avoid the latest threats and vulnerabilities. Based on this, the research employ a linear regression technique in the AI penetration testing. …”
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Modelling of clinical risk groups (CRGs) classification using FAM by Mohd. Asi, Salina, Saad, Puteh

“…Some of the material use in this paper is based on research proposal titlcd, "Development Of Clinical Risk Groups Based Intelligent System For Future Prediction Of Health Care Utilization And Resources" by UKM CRGs researchcrs and KUKUM AI Embedded researchers.…”
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Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

“…Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

“…The reliable relationship between EEG signals of the attention and meditation and their impact towards the positive and negative emotions among children while learning illustrates the potentials in detecting mental states which are relevant to tutoring such as comprehension, engagement and learning impact. In future, this research can be an initial work in automating tutorial decisions in an intelligent tutoring system which are able to adapt to the behaviour of the learners based on the detected mental states. …”
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