Titlebook: Science, Engineering Management and Information Technology; First International Abolfazl Mirzazadeh,Babek Erdebilli,Arpan Kumar Ka Confere

Metamorphosis

Khanh-Duy Phamvalue and even greater future potential of these rights for innovation and prosperity. My intellectual debt to Douglass North is as great in this later stage as978-94-010-6689-1978-94-009-0455-2Series ISSN 0924-4646

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Measuring the Efficiency of Turkish Energy Distribution Companies Using Data Envelopment Analysis. The aim is to implement interregional comparisons based on published input and output numbers as well as firm efficiency. Additionally, the characteristics of inefficient companies are extracted. As a result, our research contributes to these firms’ growth and success. Besides contributing to the

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Monocular Vision-Based Prediction of Cut-In Manoeuvres with LSTM Networksour approach on a publicly available driving dataset and a lane change detection dataset. We obtained 0.9585 accuracy with the side-aware two-class (cut-in vs. lane-pass) classification model. Experiment results also reveal that our approach outperforms state-of-the-art approaches when used for lane

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Randomized Low-Rank Nonlinear RX Detectorlar Value Decomposition (SVD) as an efficient solution owing to SVD being the best low-rank approximation. Our proposed method, randomized low-rank RX (RLR-RX), provides better computational complexity and better detection performance than both RRX and KRX methods. Experiments on the Airport-Beach-u