Titlebook: Computer Networks and Inventive Communication Technologies; Proceedings of Fourt S. Smys,Robert Bestak,Ivan Kotuliak Conference proceedings

有法律效應(yīng)

Design of Prioritized ,-Wise Testingh develops a parking management software that actually identifies the existence of parking areas. The data from video footage is used to train the Mask R-CNN architecture, where a computer vision image recognition model is used to automatically identify the parking spaces. To label the car parking p

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Computer Networks and Inventive Communication TechnologiesProceedings of Fourt

Nomadic

2367-4512 ection, assurance, and trust in information security practice. It is a reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners for advanced work in the area.?978-981-16-3727-8978-981-16-3728-5Series ISSN 2367-4512 Series E-ISSN 2367-4520

TEN

Energy Efficient Clustering in Wireless Sensor Networks by Opposition-Based Initialization Bat Algovalidated by conducting a comparative analysis with its original version, and also with other metaheuristics approaches that were tested for the same problem. Obtained results from conducted experiments suggest that the proposed method’s performance is superior, and that it could bring valuable resu

少量

Job Scheduling in Cloud Computing Based on DGPSO,em capacity, memory size, and processing speed. On the dataset, the task sizes are examined and separated according to the priority levels. On which the high priority comprises video files, the audio files under medium-level priority, and the remaining text documents, ppts, etc. included in under lo

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Deject

Affine Recurrence Based Key Scheduling Algorithm for the Advanced Encryption Standard,orithm of the AES. It has also been tested to have inferior strict avalanche criteria in comparison with other contenders of the AES such as Serpent and Twofish. Usage of the concept of affine recurrence ensures this in the proposed model. In affine recurrence, no two outputs of the operation will h

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Simplify Your Neural Networks: An Empirical Study on Cross-Project Defect Prediction, in a particular field. In this paper, we tackle this problem by testing six different NNs on a dataset of twenty software from the PROMISE repository in a strict CPDP setting. We then compare the best architecture to three proposed methods for CPDP, which cover a wide range of scenarios. During our