Search Results - (( location allocation issues algorithm ) OR ( level classification system algorithm ))
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1
Optimal allocation of battery energy storage system using WOA-AIS considering net load issue
Published 2023Conference Paper -
2
Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Upon comparing with other optimisation algorithms, WOA and WOA-AIS displayed satisfactory performance in obtaining optimal BESS locations and sizing in distribution network. …”
text::Thesis -
3
Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
Published 2015“…The first experiment was conducted by applying two approaches i) graph colouring algorithm, ii) DLS scheme. The second experiment was to determine the femtocell location by using DSL scheme as well. …”
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4
Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture
Published 2021“…However, the management of resource allocations across multiple data centers is an important issue that still affects 5G core networks. …”
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5
Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network
Published 2022“…However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. …”
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6
Influence of shortest route approximation on relegating urban area’s transportation network priorities
Published 2023“…This greedy pathfinding algorithm is regarded as proactive for application in several known neighboring routing characteristics, including customer clustering aspects in vehicle routing and location-allocation instances for optimal resource allocation.…”
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7
Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
Published 2014“…In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. …”
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8
Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement
Published 2014“…In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. …”
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9
Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement
Published 2014“…In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. …”
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10
An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab
Published 2020“…Firstly, intra-severity classification intended to identify the level of severity of the dysarthric speakers. …”
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11
Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how Pareto points in multi-objective facility location model can be found. …”
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12
Jogging activity recognition using k-NN algorithm
Published 2022“…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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13
A Real time specific weed discrimination system using multi-Level wavelet decomposition
Published 2009“…The developed algorithm was used for the real time specific weed discrimination employing multi-level wavelet decomposition. …”
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14
A Real time specific weed discrimination system using multi-Level wavelet decomposition
Published 2009“…The developed algorithm was used for the real time specific weed discrimination employing multi-level wavelet decomposition. …”
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15
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
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16
Text spam messages classification using Artificial Immune System (AIS) algorithms
Published 2024thesis::master thesis -
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Neural network diagnostic system for dengue patients risk classification
Published 2012“…However, it has been a great challenge for the physicians to identify the level of risk in dengue patients due to overlapping of the medical classification criteria. …”
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18
Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim
Published 2019“…Thus, a reliable optimisation technique is crucial to address this issue. This thesis presents a novel Embedded Meta Evolutionary–Firefly Algorithm-Artificial Neural Network for Multi-DG planning in distribution system. …”
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19
A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…For this purpose, an algorithm which hybridized the Intensity Based Analysis (IBA), Grey Level Co-occurrence Matrices (GLCM), Adaptive Network-based Fuzzy Inference System (ANFIS) and £article ~warm Optimization (PSO) Clustering Algorithm (CAPSOCA) is proposed. …”
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20
Classification System for Wood Recognition using K-Nearest Neighbor with Optimized Features from Binary Gravitational Algorithm
Published 2014“…The project proposes a classification system using Gray Level Co-Occurrence Matrix (GLCM) as feature extractor, K-Nearest Neighbor (K-NN) as classifier and Binary Gravitational Search Algorithm (BGSA) as the optimizer for GLCM’s feature selection and parameters. …”
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