Search Results - (( java implementation path algorithm ) OR ( knowledge driven process algorithm ))

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  1. 1
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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  2. 2
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  3. 3
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    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

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  4. 4
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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  5. 5
    An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease

    An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease by Haruna, A.A., Muhammad, L.J., Yahaya, B.Z., Garba, E.J., Oye, N.D., Jung, L.T.

    Published 2019
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  6. 6
    Twisted pair cable fault diagnosis via random forest machine learning

    Twisted pair cable fault diagnosis via random forest machine learning by Ghazali, N. B., Seman, F. C., Isa, K., Ramli, K. N., Z. Abidin, Z., Mustam, S. M., Haek, Haek, Z. Abidin, A. N., Asrokin, A.

    Published 2022
    “…Then, the random forests algorithms (RFs), a data-driven method, are adopted to train the fault diagnosis classifier and regression algorithm with the processed fault data. …”
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  7. 7
    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations

    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations by Hossain, S.K.S., Ayodele, B.V., Alhulaybi, Z.A., Alwi, M.M.A.

    Published 2022
    “…Based on the best model, knowledge of how various parameters influence biohydrogen production can be employed in designing an optimized bioreactor that could maximize production processes. …”
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  8. 8
    Google the earth: what's next?

    Google the earth: what's next? by Mansor, Shattri

    Published 2010
    “…Considering the exponential growth of data volumes driven by the rapid progress in sensor and computer technologies in recent years, the future of remotely sensed data should ideally be in automated data processing, development of robust and transferable algorithms and processing chains that require little or no human intervention. …”
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  9. 9
    Agent driven Peer-to-Peer Cloud Robotics

    Agent driven Peer-to-Peer Cloud Robotics by Nagrath, Vineet, Morel, Olivier, Malik, Aamir Saeed, Mohamad Saad, Mohamad Naufal, Meriaudeau, Fabrice

    Published 2013
    “…These servers provide gateways to access the infrastructure, platform, software, algorithm or process as a service. Tapping into online infrastructure and knowledge saves the cost of carrying all required capabilities onboard the robot. …”
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  10. 10
    An expert knowledge based decommissioning alternative selection system for fixed oil and gas assets in the South China Sea

    An expert knowledge based decommissioning alternative selection system for fixed oil and gas assets in the South China Sea by Na, K.L., Lee, H.E., Liew, M.S., Wan Abdullah Zawawi, N.A.

    Published 2017
    “…A review on the decommissioning industry and its growing need for data-driven management are presented. Analytic Hierarchy Process (AHP) is utilized to solve the Multi-Criteria Decision Making (MCDM) problem of choosing the best practicable decommissioning alternative. …”
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  11. 11
    Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor

    Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor by Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Taip, Farah Saleena, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak

    Published 2017
    “…Formulation of bioprocess model using process data or data driven technique is able to describe the true process conditions better than a model driven technique that focused on ideal steady state condition of process map the relationship of DO concentration with other physical and chemical process variable that has influence on the process. …”
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  12. 12
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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  13. 13
    An embedding traid-bit method to improve the performance of Arabic text steganography

    An embedding traid-bit method to improve the performance of Arabic text steganography by Thabit, Reema Ahmed Abdalla

    Published 2016
    “…The study found that the evaluation of the proposed method provides good knowledge to steganographer to improve the performance of embedding process when the Arabic text steganography method is developed.…”
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  14. 14
    Accelerating color theory-based design through artificial intelligence: a conceptual welcome

    Accelerating color theory-based design through artificial intelligence: a conceptual welcome by Khairudin, Khayril Anwar, Yahaya, Mohamad Hafiz, Abdul Jamil, Siti Ermi Syahira, Rosli, Hazrul Marzan, Abu, Muhammad Badrulzzaman, Abd Rahman, Muh Sarip

    Published 2025
    “…While traditional color selection relies heavily on human intuition, theoretical knowledge, and iterative experimentation, AI systems offer predictive modeling and data-driven recommendations that align with established color harmony principles (Jain et al., 2022). …”
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  15. 15
    A Query-Driven Spatial Data Warehouse Conceptual Schema For Disaster Management

    A Query-Driven Spatial Data Warehouse Conceptual Schema For Disaster Management by Kamal Bahrain, Safiza Suhana

    Published 2016
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  16. 16
    LINGUISTIC FUZZY MODELING IN LASER MACHINING QUALITY EVALUATION

    LINGUISTIC FUZZY MODELING IN LASER MACHINING QUALITY EVALUATION by Sivarao, Subramonian

    Published 2007
    “…The aim of this scientific research is to design knowledge based linguistic rules, algorithm, architecture & learning ability and further develop fuzzy model for laser machining kerf edge quality prediction. …”
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  17. 17
    Fuzzy expert system modeling of laser processing

    Fuzzy expert system modeling of laser processing by Subramonian, Sivarao, Ahmad, Kamely, Md Palil, Md Dan

    Published 2009
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  18. 18
    Accept or reject? Predicting ideation outcomes through enterprise social media

    Accept or reject? Predicting ideation outcomes through enterprise social media by Rozaidi, Nik Ahmad, Gibbs, Jennifer L., Eisenberg, Julia

    Published 2017
    “…Research on the use of social media for Q&A has shown that certain characteristics and reputation algorithms can help determine the best answers.Less is known about the ideation process and the way it plays out in social media.This paper explores the use of enterprise social media (ESM) for ideation by employees in a large Russian organization distributed across nine time zones.In particular, we explore which characteristics of both ideas and their contributors predict whether ideas get accepted or rejected.Our analysis is based on logistic regression analysis of a sample of 488 ideas contributed in an ESM tool used in the organization as well as a content analysis of the types of ideas generated.Our results suggest that rather than being truly democratic and decentralized, ideation in ESM is driven by those in (or proximate to) positions of organizational power.…”
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  19. 19
    Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba

    Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba by Ghulam , Mujtaba

    Published 2018
    “…These master feature vectors were fed as input to six machine learning algorithms to construct and evaluate the classification models. …”
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  20. 20
    Primary care provider’s barriers to effective management of apparently resistant hypertension in Malaysian public primary health care and strategies to overcome them: a qualitative study

    Primary care provider’s barriers to effective management of apparently resistant hypertension in Malaysian public primary health care and strategies to overcome them: a qualitative... by Rafidah, Elias, Maila, Mustapha, Juslina, Omar, Kamarudin, Kana, Sabrina, Lukas, Imam Bux, Brohi, Yu, Yu Chun, Ooi, Chor Yau

    Published 2026
    “…Theme 2: Provider (Subthemes: knowledge gaps, diagnostic uncertainty, workload pressures and time constraints, therapeutic hesitancy in complicated cases). …”
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