## Computationally Lightweight(计算轻量级)研究综述

Computationally Lightweight 计算轻量级 - The metamodels for the SAF electrical conditions are shown to retain the same generalization capabilities as the original model while being computationally lightweight.^{[1]}Taking advantage of computationally lightweight, but high-quality translators prompt consideration of new applications that address neglected languages.

^{[2]}The aim of the study is to develop an automatic classifier that: (1) is highly generalizable to heterogenous subjects, (2) would not require manual features’ extraction, (3) is computationally lightweight, embeddable on a sleep tracking device, and (4) is suitable for a wide assortment of actigraphs.

^{[3]}Computationally lightweight and unconditionally secure key agreement protocols are very useful for secure communication in public networks.

^{[4]}Performance evaluation demonstrates that SEMA is computationally lightweight on both vehicles and RSUs.

^{[5]}The scheme must also be computationally lightweight, such that it supports all mobile devices having limited battery and computational resources.

^{[6]}We moreover show how to construct metamodels of the SAF electrical conditions that retain the same generalization capabilities as the original model, while being computationally lightweight.

^{[7]}The GECO (Ground truth Evaluation of Clustering Outcomes) metric demonstrates that quantitative and repeatable scoring of gene clusters is not only possible but computationally lightweight and robust.

^{[8]}Our key insight is that computationally lightweight over-approximations of Petri nets can be used as distance oracles in classical graph exploration algorithms such as \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathsf {A}^{*}$$\end{document}A∗ and greedy best-first search.

^{[9]}Both approaches are complementary, computationally lightweight, and do not require specific software.

^{[10]}SUMMARY MLDSP-GUI (Machine Learning with Digital Signal Processing) is an open-source, alignment-free, ultrafast, computationally lightweight, standalone software tool with an interactive Graphical User Interface (GUI) for comparison and analysis of DNA sequences.

^{[11]}A new spike clustering algorithm, termed "Enhanced Growing Neural Gas (EGNG)", was therefore developed that is computationally lightweight and memory conserved.

^{[12]}The method adds correction signals to the modulator input to mitigate the distortion, which is computationally lightweight, and pseudo-code is given to simplify implementation.

^{[13]}The proposed scheme is computationally lightweight and lossless due to XOR operation only.

^{[14]}The core engine consists of a convolutional neural network (CNN) of size ~260 kB that is computationally lightweight for training and inference.

^{[15]}The benefits of our approach for operational use include that the algorithm is computationally lightweight and can be run quickly on a standard desktop or laptop PC.

^{[16]}Since the proposed approach is computationally lightweight, it is suitable for real-time devices and applications.

^{[17]}In this work, we design, implement, and evaluate a computationally lightweight, maintainable, scalable, generalizable, and extendable face recognition evaluation toolbox named FaRE that supports both online and offline evaluation to provide feedback to algorithm development and accelerate biometricsrelated research.

^{[18]}Our proposed approach is computationally lightweight, energy-efficient and reduces the degree of correlation among the resource-constrained sensor nodes.

^{[19]}It is essential for security approach to be computationally lightweight.

^{[20]}A technique that was developed for military replanning provides the core for a computationally lightweight and rapidly adaptive UAS route planning.

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SAF 电气条件的元模型显示保留与原始模型相同的泛化能力，同时在计算上是轻量级的。

^{[1]}利用计算量轻但质量高的翻译人员会促使人们考虑解决被忽视的语言的新应用程序。

^{[2]}该研究的目的是开发一种自动分类器：（1）对异质受试者具有高度的泛化性，（2）不需要手动提取特征，（3）计算量轻，可嵌入睡眠跟踪设备，以及（ 4) 适用于各种活动记录仪。

^{[3]}计算轻量级和无条件安全的密钥协商协议对于公共网络中的安全通信非常有用。

^{[4]}性能评估表明，SEMA 在车辆和 RSU 上的计算量都很轻。

^{[5]}该方案还必须在计算上是轻量级的，以便它支持所有具有有限电池和计算资源的移动设备。

^{[6]}此外，我们还展示了如何构建 SAF 电气条件的元模型，这些元模型保留与原始模型相同的泛化能力，同时在计算上是轻量级的。

^{[7]}GECO（聚类结果的真实评估）指标表明，基因簇的定量和可重复评分不仅是可能的，而且在计算上是轻量级和稳健的。

^{[8]}我们的主要见解是，Petri 网的计算轻量级过度近似可以用作经典图探索算法中的距离预言，例如 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \ usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathsf {A}^{*}$$\end{文档}A∗ 和贪婪的最佳优先搜索。

^{[9]}这两种方法是互补的，计算量轻，不需要特定的软件。

^{[10]}概括 MLDSP-GUI（带有数字信号处理的机器学习）是一种开源、免比对、超快、计算量轻、独立的软件工具，具有交互式图形用户界面 (GUI)，用于比较和分析 DNA 序列。

^{[11]}因此，开发了一种称为“增强型生长神经气体 (EGNG)”的新尖峰聚类算法，该算法在计算上是轻量级的，并且可以节省内存。

^{[12]}该方法将校正信号添加到调制器输入以减轻失真，计算量轻，并给出伪代码以简化实现。

^{[13]}由于仅异或运算，所提出的方案在计算上是轻量级和无损的。

^{[14]}核心引擎由大小约为 260 kB 的卷积神经网络 (CNN) 组成，该网络在训练和推理方面具有轻量级的计算能力。

^{[15]}我们的操作使用方法的好处包括该算法在计算上是轻量级的，并且可以在标准台式机或笔记本电脑上快速运行。

^{[16]}由于所提出的方法在计算上是轻量级的，因此它适用于实时设备和应用程序。

^{[17]}在这项工作中，我们设计、实现和评估了一个名为 FaRE 的计算轻量级、可维护、可扩展、可概括和可扩展的人脸识别评估工具箱，该工具箱支持在线和离线评估，为算法开发提供反馈并加速生物识别相关研究。

^{[18]}我们提出的方法在计算上是轻量级的、节能的，并降低了资源受限传感器节点之间的相关程度。

^{[19]}对于安全方法而言，计算上的轻量级至关重要。

^{[20]}一种为军事重新规划而开发的技术为计算轻量级和快速自适应的 UAS 路线规划提供了核心。

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