Search Results - (( web location model algorithm ) OR ( its application learning algorithm ))*
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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Web Algorithm search engine based network modelling of Malaria Transmission
Published 2013“…The Hypertext Induced Topical Search (HITS) web search algorithm was adapted to implement a search engine, which uses the bipartite contact network as the input. …”
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Thesis -
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Brain tumor image segmentation using deep learning approach
Published 2022“…The proposed model is also deployed as a web application using Flask for public usage. …”
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The application of firefly algorithm in an adaptive emergency evacuation centre management (AEECM) for dynamic relocation of flood victims
Published 2016“…This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app.The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre.The proposed decision aid model and the adaptive system can be applied in supporting the National Security Council’s respond mechanisms for handling disaster management level II (State level) especially in providing better management of the flood evacuating centres.…”
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Conference or Workshop Item -
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Modelling COVID-19 Hotspot Using Bipartite Network Approach
Published 2021“…The summation rule is applied to quantify all nodes in the network and the link weight between the human node and the location node. The ranking of location and human nodes in this network is computed using a web search algorithm. …”
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Hand, Foot and Mouth Disease (HFMD)'s Hotspot Identification using Bipartite Network Model
Published 2020“…The link weight between the two sets of nodes was quantified by summing all the environmental predictors such as temperature, humidity, human and vector characteristics. The location nodes in the targeted and validated models were ranked using the web-based search algorithms according to the respective ranking values. …”
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Final Year Project Report / IMRAD -
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Adaptive emergency evacuation centre management for dynamic relocation of flood victims using firefly algorithm
Published 2016“…This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app. …”
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Modeling Dengue Hotspot with Bipartite Network Approach
Published 2018“…All data are pre-processed and formulated into a targeted model which consists of eight human nodes and nineteen location nodes and a test model which consists of three human nodes and eight new incoming location nodes. …”
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Proceeding -
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Applying Bipartite Network Approach To Scarce Data: Modeling Habitat Suitability Of A Marine Mammal Species
Published 2015“…Habitat suitability index, generated through implementation of an adapted web-based search algorithm, is produced and utilized for the ranking of these location nodes. …”
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
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Working Paper -
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Enhancing geographic coordinates representation standard for reverse geocoding web services
Published 2018“…Reverse-geocoding is Location Base Services (LBS) that supports mobile and web applications. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. …”
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Proceeding Paper -
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Identifying COVID-19 Hotspots using Bipartite Network Approach
Published 2023“…The location and human nodes were then ranked using a web-based search algorithm based on their respective ranking values. …”
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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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Ensemble dual recursive learning algorithms for identifying flow with leakage
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Conference or Workshop Item -
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Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…The research focuses on the application of an active force control (AFC) strategy with iterative learning control (ILC) algorithms to compensate for the various introduced road profiles or 'disturbances' in a quarter car suspension system as an improvement to ride comfort performance. …”
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