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Machine Learning Classification to Effort Estimation for Embedded Software Development Projects.

, , , and . Int. J. Softw. Innov., 5 (4): 19-32 (2017)

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Machine Learning Classification to Effort Estimation for Embedded Software Development Projects., , , and . Int. J. Softw. Innov., 5 (4): 19-32 (2017)Map Creations with OpenStreetMap for RoboCupRescue Simulation., , , and . CSII, page 60-65. IEEE, (2019)A Shape Matching Method Considering Computational Feasibility., , , and . SPML, page 115-119. ACM, (2018)A Algorithm with Expected Value: Path Planning That Avoids Stochastic Traffic Obstacles., , , , , and . ICA, page 104-105. IEEE, (2016)Effort Prediction Model Using Similarity for Embedded Software Development., , , and . ICCSA (2), volume 3981 of Lecture Notes in Computer Science, page 40-48. Springer, (2006)Comparison of Fourier Bases and Asymmetric Network Bases in the Bio-Inspired Networks., , , and . IWANN (1), volume 14134 of Lecture Notes in Computer Science, page 200-210. Springer, (2023)Investigating the Effectiveness of a Moving-Target Oriented Opportunistic Routing Algorithm on RoboCup Rescue Simulations., , , , , and . IIAI-AAI, page 919-924. IEEE Computer Society, (2014)Analysis of the Expected Possession Value in RoboCupSoccer Simulation 2D., , , , , and . IIAI-AAI, page 293-298. IEEE, (2023)Reducing the computational cost of shape matching with the distance set.. ICPR, page 1506-1511. IEEE, (2016)Hierarchical Hidden Conditional Random Fields for Information Extraction., , , and . LION, volume 6683 of Lecture Notes in Computer Science, page 191-202. Springer, (2011)