Hybrid rice optimization (HRO) is a novel swarm intelligence algorithm inspired by the breeding process of Chinese three-line hybrid rice, its population is classified into three types such as the maintainer, restorer and sterile line and several stages including hybridization, selfing and renewal ...
"A hybrid rice optimization algorithm." In 2016 11th International Conference on Computer Science & Education (ICCSE). doi:10.1109/iccse.2016.7581575 River Formation: Rabanal P, Rodr'\iguez I, Rubio F (2007). "Using River Formation Dynamics to Design Heuristic Algorithms." In Lecture Notes in...
aIn addition, hybrid optimization techniques which combine non-gradient based and gradient-based algorithm can ensure a global optimum with a moderate number of simulations for high nonlinear problems. 另外,结合非梯度基于和基于梯度的算法的杂种优化技术可能保证全球性最宜以模仿的一个适度数字为高非线性问题...
Hybrid rice breeding for exploiting hybrid vigor, heterosis, has greatly increased grain yield. However, the heterosis-related genes associated with rice grain production remain largely unknown, partly because comprehensive mapping of heterosis-related traits is still labor-intensive and time-consuming. He...
The 4DTV-based optimization algorithm is not tested on GPU due to its iterative nature. As can be seen, the deep learning approach enjoys significant gains in reconstruction time. It can reconstruct at least 16 frames per second, allowing for real-time reconstruction when data acquisition is ...
2023.11 [Streaming Attention] One Pass Streaming Algorithm for Super Long Token Attention Approximation in Sublinear Space(@Adobe Research etc) [pdf] ⚠️ ⭐️ 2023.11 🔥[Prompt Cache] PROMPT CACHE: MODULAR ATTENTION REUSE FOR LOW-LATENCY INFERENCE(@Yale University etc) [pdf] ⚠️ ⭐...
A multiview imaging system was built to acquire image sequences of rice canopies with an efficiency of approximately 4 min per rice plant. The execution time of panicle modeling per rice plant using 90 images was approximately 26 min. The outputs of the algorithm for a single rice plant are...
In the case of true background noise, this can be removed using a pass-through filter which limits the range of axes and removes the points outside the range. This approach can easily be combined with other filtering algorithms such as the minimum oriented bounding box (MOBB) algorithm [125...
Molecular connectivity graphs are created using Open Babel63 with atom indexing and compared using the VF2 algorithm64. The optimization path length is calculated in the Cartesian coordinate distance with the Kabsch algorithm65. The path length in Fig. 3b only accounts for reactions with 2-end ...
This method effectively improves the identification of rice varieties. In addition, Helong Yu et al.10 proposed a deep learning optimization algorithm, which has significantly improved the detection of tomato pests. Deep learning used in object detection offers better generalization and robustness. The...