Titlebook: Genetic and Evolutionary Computing; Proceedings of the F Jerry Chun-Wei Lin,Chin-Shiuh Shieh,Shu-Chuan Chu Conference proceedings 2024 The

微枝末節(jié)

BOOST

Yolo V3 for Market MBFVS Food Materials Detection, meat, beef, fruits, vegetables and seafood are abbreviated naming MBFVS dataset for Yolo v3 validation, the experiment and discussion are conducted by the several benchmarks criterion, including, the log-average miss rate (LAMR) and mean Average Precision (mAP) for the further analysis and the future work.

ligature

https://doi.org/10.1007/978-3-319-41381-5he problem of lack of comprehensive analysis. In this paper, considering the high dimensions and time-varying characteristics of agricultural big data, a new time series analysis model based on Genetic Feedback Process Neural Network (GFPNN) is proposed to analyze the influence of regional agricultu

Outwit

猜忌

https://doi.org/10.1007/978-3-658-44468-6utonomous decision-making navigation of robots can be realized, so as to reach the predetermined target position smoothly and efficiently. The conventional path planning algorithm is generally a static trajectory adjustment algorithm. However, the surrounding environment is complex and changeable du

NEEDY

inhibit

走調(diào)

Mercantile

https://doi.org/10.1057/9781137484345n cities and return to the departure city, with each city visited once and only once. To solve the problem, we propose a hybrid metaheuristic algorithm that combines the ant colony system(ACS) and genetic algorithm(GA). Distinguishing from previous hybrid algorithms, the two algorithms in our propos

嘴唇可修剪

Teaching for Democratic Reconstruction,alone does not determine their importance. That means frequent patterns may not be needed, while infrequent patterns may hold high importance. In this paper, an effective algorithm for weighted sequential pattern mining, called WS-Miner, is proposed. The novel upper bound can effectively reduce the