Search Results - (( motion estimation mining algorithm ) OR ( weight distribution some algorithm ))*

Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network by Bujal, Noor Ropidah

“…The presence of DG in the electrical distribution network provides some benefits, such as power loss reduction, improvement of voltage profile and voltage stability. …”
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Implementasi Algoritma Cheapest Insertion Heuristic (CIH) dalam Penyelesaian Travelling Salesman Problem (TSP) by Rio Guntur, Utomo, Dian Sa'adillah, Maylawati, Cecep Nurul, Alam

“…The purpose of TSP is to find the route of all cities with minimum total weight.Many algorithms have been found to solve the TSP, one of which is the Cheapest Insertion Heuristic (CIH) algorithm in the process of inserting weighted steps obtained from the equation c (i, k, j) = d (i, k) + d (k, j) - d (i, j). …”
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Design and development of prototype robot gripper for object weight measurement by Almassri, Ahmed M. M.

“…Therefore, this study has proposed a robotic gripper prototype with a new configuration of pressure sensor distribution, based on development of grasping algorithm for object’s weight measurement. …”
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Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems by Hassan, Ayat Saleh

“…Some existing algorithms need to be improved while others, need to add a new parameter for improving the performance of optimization methods and making it more effective and efficient. …”
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Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications by Bello Tambawal, Abubakar, Noor, Rafidah Md, Salleh, Rosli, Chembe, Christopher, Oche, Michael

“…In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. …”
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New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

“…In the worst condition, it optimized 3.99% higher than the most fault-tolerant previous works. The resulting algorithm does not involve variability in the hardware type nor is it based on specific distributed application software or databases. …”
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

“…Taguchi was used to optimize the algorithms parameters. While there was no benchmark in the literature, some numerical examples were generated to show the performance of the algorithms for both Euclidean and Square Euclidean distances while some case studies were also considered.…”
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Comparison of diverse ensemble neural network for large data classification by Mumtazimah, Mohamad, Md Yazid, Mohamad Saman

“…DRT is an enhanced algorithm based on distributed random for different neural networks. …”
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Optimal location and size of distributed generation to reduce power losses and improve voltage profiles using differential evolution optimization method by Hammadi, Ahmed Sahib

“…Some existing algorithms need to be improved while others, need to add a new parameter for improving the performance of optimization methods and making it more effective and efficient. …”
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An experience oriented-convergence improved gravitational search algorithm for minimum variance distortionless response beamforming optimum by Darzi S., Tiong S.K., Tariqul Islam M., Rezai Soleymanpour H., Kibria S.

Meta-heuristic matrix moth�flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability by Jafar-Nowdeh A., Babanezhad M., Arabi-Nowdeh S., Naderipour A., Kamyab H., Abdul-Malek Z., Ramachandaramurthy V.K.

“…This paper presents optimal multi-criteria reconfiguration of radial distribution systems with solar and wind renewable energy sources using the weight factor method while considering reliability. …”

Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction by Jaddi N.S., Abdullah S., Malek M.A.

Classification of imbalanced travel mode choice to work data using adjustable svm model by Qian, Y., Aghaabbasi, M., Ali, M., Alqurashi, M., Salah, B., Zainol, R., Moeinaddini, M., Hussein, E.E.

“…For the majority class, the accuracy improvement was substantial. This algorithm can be applied to other tasks in the transport planning domain that deal with uneven data distribution. …”
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Transtheoretical model of change for weight control in Malaysian context by Chang, Ching Thon

“…The Stages of Change algorithm was able to classify the respondents into different Stages of Change to lose weight. …”
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Just Queuing: Policy-Based Scheduling Mechanism for Packet Switching Networks by Miaji, Yaser Shamsulhak A

“…The results of the evaluation showed fair bandwidth distribution similar to the popular Weighted Fair Queuing (WFQ) mechanism. …”
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Application Of The Differential Quadrature Method To Problems In Engineering Mechanics by Fakir, Md.Moslemuddin

“…In this thesis, the technique has been illustrated with the solution of six partial differential equations arising in Heat transfer, Poisson and Torsion problem with accurate weighting coefficient computation and two types of mesh· points distribution (equally spaced and unequally spaced). …”
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Garra Rufa‐inspired optimization technique by Abdulbari, Hayder A., Jaber, Aqeel S., Shalash, Nadheer A., Abdalla, Ahmed N.

“…Also, a multiobjective real issue in power system is tested using the proposed methods where the objectives were cumulative voltage deviation and power losses of three weight sets during the selection allocation of distribution generators. …”
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Design And Analysis Of Modified-Proportional Fair Scheduler For LTELTE-Advanced by Ismail, Mohd Khairy

“…So, the mechanism applied in PF scheduler is to weight the current data rate achievable by a UE by the average rate received by a UE. …”
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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

“…However, the BMA algorithm was found to be rigid as it was results-oriented and might opt to omit some base models if their performance were significantly poorer than the others. …”
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