CLASSIFICATION AND MANAGEMENT OF CHANGES IN EPC CONTRACTS OF THE PETROLEUM INDUSTRY USING THE AHP AND GRA COMBINED METHOD

Classification and Management of Changes in EPC Contracts of the Petroleum Industry Using the AHP and GRA Combined Method

Today, energy supply is one of the most important axes of the strategy of different countries due to its vital role in the continuation of technological and economic development of countries.The Petroleum industry, as one of the most important industries producing energy, has become an important and special industry due to the complexities of its p

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DFD-SLAM: Visual SLAM with Deep Features in Dynamic Environment

Visual SLAM technology is one of the important technologies for mobile robots.Existing feature-based visual SLAM techniques suffer from tracking and loop closure performance degradation in complex environments.We propose the DFD-SLAM system to ensure outstanding accuracy and robustness across diverse environments.Initially, building on the ORB-SLAM

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TWO-WAY METRIC LEARNING WITH MAJORITY AND MINORITY SUBSETS FOR CLASSIFICATION OF LARGE EXTREMELY IMBALANCED FACE DATASET

This paper proposes a new learning methodology involving deep features and two-way metric learning for large, extremely imbalanced face datasets where the number of minority classes and the imbalance ratio are both very high.The problem arises because the faces of some celebrities, being more popular, are readily available in social media and the i

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