Simulation to reality (sim-to-real) transfer is a promising alternative for training behavioral policies in reinforcement learning (RL). However, many significant differences between the simulator and the real-world e...
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With the wider growth of web-based documents,the necessity of automatic document clustering and text summarization is ***,document summarization that is extracting the essential task with appropriate information,remov...
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With the wider growth of web-based documents,the necessity of automatic document clustering and text summarization is ***,document summarization that is extracting the essential task with appropriate information,removal of unnecessary data and providing the data in a cohesive and coherent manner is determined to be a most confronting *** this research,a novel intelligent model for document clustering is designed with graph model and Fuzzy based association rule generation(gFAR).Initially,the graph model is used to map the relationship among the data(multi-source)followed by the establishment of document clustering with the generation of association rule using the fuzzy *** method shows benefit in redundancy elimination by mapping the relevant document using graph model and reduces the time consumption and improves the accuracy using the association rule generation with *** framework is provided in an interpretable way for document *** iteratively reduces the error rate during relationship mapping among the data(clusters)with the assistance of weighted document ***,this model represents the significance of data features with class *** is also helpful in measuring the significance of the features during the data clustering *** simulation is done with MATLAB 2016b environment and evaluated with the empirical standards like Relative Risk Patterns(RRP),ROUGE score,and Discrimination Information Measure(DMI)***,DailyMail and DUC 2004 dataset is used to extract the empirical *** proposed gFAR model gives better trade-off while compared with various prevailing approaches.
The Mobile-Based Audiometry Test Assessment with Machine Learning Integration is a user-friendly application for convenient and accurate hearing health assessment. This innovative app incorporates advanced machine lea...
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Materials datasets usually contain many redundant(highly similar)materials due to the tinkering approach historically used in material *** redundancy skews the performance evaluation of machine learning(ML)models when...
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Materials datasets usually contain many redundant(highly similar)materials due to the tinkering approach historically used in material *** redundancy skews the performance evaluation of machine learning(ML)models when using random splitting,leading to overestimated predictive performance and poor performance on out-of-distribution *** issue is well-known in bioinformatics for protein function prediction,where tools like CD-HIT are used to reduce redundancy by ensuring sequence similarity among samples greater than a given *** this paper,we survey the overestimated ML performance in materials science for material property prediction and propose MD-HIT,a redundancy reduction algorithm for material *** MD-HIT to composition-and structure-based formation energy and band gap prediction problems,we demonstrate that with redundancy control,the prediction performances of the ML models on test sets tend to have relatively lower performance compared to the model with high redundancy,but better reflect models’true prediction capability.
Originally presented in previous work to capture the set of fundamental elements of the UML state machine specification, Common Declarative Language (CDL) provides a model that can aid in the validation and verificati...
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The rise in mobile internet usage especially using cellular networks demands efficient performance for web traffic, primarily made up of short TCP flows. For TCP, Cubic is the most widely deployed congestion control a...
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In the evolutionary multi-objective optimization (EMO) field, evolutionary algorithms have a population to store a well-converged and well-distributed solution set. In the literature, the population size is usually sp...
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Supply chain in agriculture field is very important as the cultivated goods are sensitive for time and temperature. Most of the time, middlemen act as the price-fixing authorities. The farmer's profit declines as ...
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This study explores the application of deep facial recognition technology to identify kinship patterns among strangers using convolutional neural networks (CNNs). Utilizing the VGGFace2 dataset, a deep CNN model was d...
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Maritime Intelligence is essential for safeguarding maritime interests of coastal nations. Traditionally, vessel movements are tracked using self-reported positions via Automatic Identification System (AIS) transponde...
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