بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
element per » elementi per (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
element per » elementi per (توسيع البحث)
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121
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021احصل على النص الكامل
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124
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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125
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126
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…We present the new framework for the detection of cyberattacks, which makes use of AI and ML. We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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127
Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
منشور في 2011"…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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128
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
منشور في 2018"…Among the emerging markets, Internet of Things (IoT) use cases are standing out with the proliferation of a wide range of sensors that can be configured to continuously monitor and transmit data for intelligent processing and decision making. …"
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129
Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
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A Multi-Channel Convolutional Neural Network approach to automate the citation screening process
منشور في 2021"…This study aims to automate the citation screening process using Deep Learning algorithms. With this, it is aimed to reduce the time and costs of the citation screening process and increase the precision and recall of the relevant primary studies. …"
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133
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A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption
منشور في 2019"…Design/methodology/approach In the proposed approach, the parameter tuning process is performed on all parameters of genetic algorithm (GA), and the finest coefficients with minimum errors are identified. …"
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135
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
منشور في 2020"…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …"
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"
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KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …"