Renal Pathology Images Segmentation Based on Improved Cuckoo Search with Diffusion Mechanism and Adaptive Beta-Hill Climbing [0.03%]
基于改进的 cuckoo search 和自适应 beta-爬山算法的肾脏病理图像分割
Jiaochen Chen,Zhennao Cai,Huiling Chen et al.
Jiaochen Chen et al.
Lupus Nephritis (LN) is a significant risk factor for morbidity and mortality in systemic lupus erythematosus, and nephropathology is still the gold standard for diagnosing LN. To assist pathologists in evaluating histopathological images o...
Coronavirus Mask Protection Algorithm: A New Bio-inspired Optimization Algorithm and Its Applications [0.03%]
新型冠状病毒口罩防护算法：一种新的仿生优化算法及其应用研究
Yongliang Yuan,Qianlong Shen,Shuo Wang et al.
Yongliang Yuan et al.
Nowadays, meta-heuristic algorithms are attracting widespread interest in solving high-dimensional nonlinear optimization problems. In this paper, a COVID-19 prevention-inspired bionic optimization algorithm, named Coronavirus Mask Protecti...
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation [0.03%]
基于海藻群算法改进的 reptile 搜索算法在医学图像分割中的应用
Laith Abualigah,Mahmoud Habash,Essam Said Hanandeh et al.
Laith Abualigah et al.
This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. The proposed metho...
Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images [0.03%]
用于COVID-19胸部X光图像多级阈值图像分割的具有Rosenbrock和扩散机制的多宇宙优化器
Yan Han,Weibin Chen,Ali Asghar Heidari et al.
Yan Han et al.
Coronavirus Disease 2019 (COVID-19) is the most severe epidemic that is prevalent all over the world. How quickly and accurately identifying COVID-19 is of great significance to controlling the spread speed of the epidemic. Moreover, it is ...
Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems [0.03%]
用于约束工程设计问题改进的侏儒mongoose优化算法
Jeffrey O Agushaka,Absalom E Ezugwu,Oyelade N Olaide et al.
Jeffrey O Agushaka et al.
This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm (IDMO) for constrained engineering design problems. This optimization technique modifies the base algorithm (DMO) in three simple but effective ways. First,...
Crisscross Harris Hawks Optimizer for Global Tasks and Feature Selection [0.03%]
用于全局任务和特征选择的交织哈里斯鹰优化器
Xin Wang,Xiaogang Dong,Yanan Zhang et al.
Xin Wang et al.
Harris Hawks Optimizer (HHO) is a recent well-established optimizer based on the hunting characteristics of Harris hawks, which shows excellent efficiency in solving a variety of optimization issues. However, it undergoes weak global search...
Identification of Pulmonary Hypertension Animal Models Using a New Evolutionary Machine Learning Framework Based on Blood Routine Indicators [0.03%]
基于血液常规指标的新型进化机器学习框架识别肺动脉高压动物模型
Jiao Hu,Shushu Lv,Tao Zhou et al.
Jiao Hu et al.
Pulmonary Hypertension (PH) is a global health problem that affects about 1% of the global population. Animal models of PH play a vital role in unraveling the pathophysiological mechanisms of the disease. The present study proposes a Kernel...
Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation [0.03%]
基于准对学习和高斯骨架的鲸优化算法提升及特征选择与COVID-19图像分割应用
Jie Xing,Hanli Zhao,Huiling Chen et al.
Jie Xing et al.
Whale optimization algorithm (WOA) tends to fall into the local optimum and fails to converge quickly in solving complex problems. To address the shortcomings, an improved WOA (QGBWOA) is proposed in this work. First, quasi-opposition-based...
A Novel Method Based on Nonlinear Binary Grasshopper Whale Optimization Algorithm for Feature Selection [0.03%]
基于非线性二进制蚱蜢鲸优化算法的特征选择新方法
Lingling Fang,Xiyue Liang
Lingling Fang
Feature Selection (FS) is considered as an important preprocessing step in data mining and is used to remove redundant or unrelated features from high-dimensional data. Most optimization algorithms for FS problems are not balanced in search...
Design and Implementation of a Rehabilitation Upper-limb Exoskeleton Robot Controlled by Cognitive and Physical Interfaces [0.03%]
一种基于认知和物理接口的康复上肢外骨骼机器人设计与实现
Arturo González-Mendoza,Ivett Quiñones-Urióstegui,Sergio Salazar-Cruz et al.
Arturo González-Mendoza et al.
This paper presents an upper limb exoskeleton that allows cognitive (through electromyography signals) and physical user interaction (through load cells sensors) for passive and active exercises that can activate neuroplasticity in the reha...