Titlebook: Soft Computing and its Engineering Applications; Second International Kanubhai K. Patel,Deepak Garg,Pawan Lingras Conference proceedings 20

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Quantile Regression Support Vector Machine (QRSVM) Model for Time Series Data Analysisf the time series are based on the normal least square regression (LSR). For handle the outliers, the least square regression is not efficient. Data from the time series contains outliers in a notable quantity that may affect the results of the prediction. The proposed solution will use statistical

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Selection of Characteristics by Hybrid Method: RFE, Ridge, Lasso, and Bayesian for the Power Forecass such as powers, voltages, currents; as well as external variables such as temperatures, irradiance, and load. To maximize performance, this research focused on the application of regularization techniques in a multiparametric linear regression model to predict the active power levels of a photovol

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Efficiency of Parallelization Using GPU in Discrete Dynamic Models Construction Processe the execution time of parallel model depending on the order of model, the number of discrete values, the number of GPU threads and GPU blocks; and (iii) to compare the execution time on CPU and GPU. A parallel model for the prediction of sulfur dioxide emissions into the air of Żywiec city (Poland

laceration

On the Performance Analyses of a Modified Force Field Algorithm for Obstacle Avoidance in Swarm Roboand functional obstacle avoidance algorithm to stay collision free between themselves and their surroundings. This paper reviews previous research in obstacle avoidance implementation using the force field method (FFM), also known as potential field method (PFM). Moreover, this paper aims to execute

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Rethinking the Limits of Optimization Economic Order Quantity (EOQ) Using Self Generating Training Mating training model in ANFIS. The inventory control for a successful organization has to be sustained with varying parameters such as demand, setup cost and ordering cost. This research work combines the fuzzy inference system and Adaptive neuro-fuzzy inference system to acquire the optimal order q

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Hybrid POS Tagger for Gujarati Textaggers available for Gujarati language. Comparative study is based on evaluation criteria namely Precision, Recall, and F1 score for each tag and overall accuracy of the POS tagger. A hybrid approach for improving the accuracy of POS tagger has been proposed for Gujarati Language which comprises the

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Prophylaxis

Transfer Learning-Based Image Tagging Using Word Embedding Technique for Image Retrieval Applicationblic and private networks, it is essential to find an efficient way to tag the images for the purpose of effective image retrieval and maintenance. Existing methods utilize feature extraction techniques such as histograms, SIFT, Local Binary Patterns (LBP) which are limited by their inability to rep

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