Titlebook: Computational Science and Technology; 6th ICCST 2019, Kota Rayner Alfred,Yuto Lim,Chin Kim On Conference proceedings 2020 Springer Nature S

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Vehicle Classification using Convolutional Neural Network for Electronic Toll Collection,and buses. The system is implemented using TensorFlow and is able to obtain high validation accuracy of 93.8% and low validation losses of 0.236. The proposed vehicle classification system can reduce the need for human operators, thus minimising cost and increasing efficiency.

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,Social Media, Software Engineering Collaboration Tools and Software Company’s Performance, purposes and subsequent influences on organizations. Same is the case for SM utilization in CM. In addition to SM, SE collaboration tools are also a vital source of improving performance. Prior literature indicates towards the need for research work on utilization of Web 2.0, especially SM and othe

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