Search Results - (( development continuity plan algorithm ) OR ( java implication based algorithm ))

Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

“…The development of the path planning algorithm is initially presented by the geometrical analysis and it is then analyzed by simulation using Matlab. …”
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Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm by Tan, Chee Kuan

“…The second iteration continues by the development of the backend logic that communicates with several APIs which are firebase authentication, firestore and google cloud service. …”
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Urban planning and indicators for sustainability by Abdul Hadi Harman Shah

“…The field of environmental planning is continuously developing tools that can assist in developing more effective strategies and making better-informed decisions. …”
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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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Developing an app for streamlined inventory tracking with barcode scanning and load planning optimization by Teng, Yan Xin

“…Keywords: Inventory Management, Barcode Scanning, Load Planning, Binary Tree Bin Packing Algorithm, Mobile Application Development. …”
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AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

“…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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Global Mobile Robot Path Planning using Laser Simulator by Ali, Mohammed A. H., Wan Azhar, Wan Yusoff, Zamzuri, Hamedon, Zulkifli, Md. Yusof, Musa, Mailah

“…By using the laser simulator row points procedures, the point that determine the planned path in front of robot can be generated continuously and this process is repeated until the robot reaches the goal position. …”
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Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan Yin Keong, Tan Yin

“…A technique for obtaining globally optimal schedules for the flow of crude is developed. A continuous time model based on transfer events is used to represent the scheduling problem and this model is a nonconvex MINLP model which presents multiple local optima. …”
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Comprehensive power restoration approach using rule-based method for 11kV distribution network by Khalid A.R., Ahmad S.M.S., Shakil A., Pa N.N., Shafie R.M.

“…The result shows that the proposed method is able to generate the best possible restoration plan, whilst ensuring a continuous supply to the unaffected customer. …”

Deep continual learning for predicting blast-induced overbreak in tunnel construction / He Biao by He , Biao

“…The developed model is expected to possess the ability of continual learning, which is particularly advantageous in dynamic environments like tunnel blasting. …”
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Real time monitoring and controlling using Petri net algorithm for batch process plant / Mohamad Shaiful Osman by Osman, Mohamad Shaiful

“…Among the major benefits expected from the use of the algorithms are increasing the production, reducing cycle times, increasing yields and improved planning. …”
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Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH by Norhafidzah, Mohd Saad

“…The load flow patterns will significantly have affected when uncertain PV generation – load models are considered into the power flow algorithm. A new method of probabilistic backward – forward sweep power flow (BFSPF) based on Monte Carlo – PDF is developed as the fitness evaluation for the PVDG planning. …”
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A comprehensive power restoration approach using rule-based method for 11kV distribution network by Khalid, Abd Rahman, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Shakil, Asma, Nik Pa, Nawar, Mohd Shafie, Roslin

“…The result shows that the proposed method is able to generate the best possible restoration plan, whilst ensuring a continuous supply to the unaffected customer. …”
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A discrete simulated kalman filter optimizer for combinatorial optimization problems by Suhazri Amrin, Rahmad

“…Due to the limitation of the SKF algorithm which only able to operate in continuous search space, the proposed algorithm makes use of a new interpretation that incorporates mutation and Hamming distance, allowing the proposed algorithm to function in discrete search space. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Collaboration algorithms between intermediaries for supporting flexible supply chain management by Mohd Tamrin, Mohd Izzuddin, Tengku Sembok, Tengku Mohd, Kartiwi, Mira

“…The collaboration algorithms are design to go through five main phases in order to continuously monitor and detect any deviations from the processes currently running at the vacinity of the members. …”
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Visual servo algorithm of robot arm simulation for dynamic tracking and grasping application by Rishi Arran Suppramaniam, Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, Seri Mastura Mustaza, Asraf Mohamed Moubark

“…Future works are required to improve the dynamic visual servo algorithm with motion planning when obstacles are present in the path of robot grasping.…”
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Exponential Parameterized Cubic B-Spline Curves And Surfaces by Ammad, Muhammad

“…The use of B-spline interpolation function for curves and surfaces has been developed for many reasons. One reason is the higher degree of continuity and smoothness. …”
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Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD) by Gilani Mohamed, Mohamed Ahmed

“…This study indicates developing an algorithm for detecting and progressing through the hippocampus of patients with Alzheimer's disease in MRI images. …”
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Automated Nutritional Guidance for Obesity Management: Insights from Machine Learning, Naïve Bayes, Random Forest by A., Rupa, Ch. Akshaya, Reddy, E., Shravya, E., Akshaya, K., Rajasri

“…The system leverages user-specific data, including age, weight, height, activity level, and health goals, to generate tailored dietary plans using machine learning algorithms and nutrition databases. …”
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