Wireless sensor localization based on distance optimization and assistance by mobile anchor nodes: a novel algorithm [0.03%]
一种基于距离优化和移动锚节点辅助的无线传感器定位新算法研究
Hui Yang
Hui Yang
Wireless sensor networks (WSNs) have wide applications in healthcare, environmental monitoring, and target tracking, relying on sensor nodes that are joined cooperatively. The research investigates localization algorithms for both target an...
SEF-UNet: advancing abdominal multi-organ segmentation with SEFormer and depthwise cascaded upsampling [0.03%]
基于SEFormer和深度级联上采样的SE-UNet：推进腹部多器官分割
Yaping Zhao,Yizhang Jiang,Lijun Huang et al.
Yaping Zhao et al.
The abdomen houses multiple vital organs, which are associated with various diseases posing significant risks to human health. Early detection of abdominal organ conditions allows for timely intervention and treatment, preventing deteriorat...
Mining software insights: uncovering the frequently occurring issues in low-rating software applications [0.03%]
软件挖掘见解：低评分软件应用中频繁出现的问题探究
Nek Dil Khan,Javed Ali Khan,Jianqiang Li et al.
Nek Dil Khan et al.
In today's digital world, app stores have become an essential part of software distribution, providing customers with a wide range of applications and opportunities for software developers to showcase their work. This study elaborates on th...
Optimized virtual reality design through user immersion level detection with novel feature fusion and explainable artificial intelligence [0.03%]
基于新型特征融合和可解释人工智能的用户沉浸水平检测以优化虚拟现实设计
Ali Raza,Amjad Rehman,Rukhshanda Sehar et al.
Ali Raza et al.
Virtual reality (VR) and immersive technology have emerged as powerful tools with numerous applications. VR technology creates a computer-generated simulation that immerses users in a virtual environment, providing a highly realistic and in...
A hybrid approach based on k-means and SVM algorithms in selection of appropriate risk assessment methods for sectors [0.03%]
基于k均值和SVM算法的混合方法在选择合适风险评估方法中的应用
Fatih Topaloglu
Fatih Topaloglu
Every work environment contains different types of risks and interactions between risks. Therefore, the method to be used when making a risk assessment is very important. When determining which risk assessment method (RAM) to use, there are...
An efficient hybrid differential evolution-golden jackal optimization algorithm for multilevel thresholding image segmentation [0.03%]
一种高效的混合差分进化-金色豺狼优化算法用于多级阈值图像分割问题
Xianmeng Meng,Linglong Tan,Yueqin Wang
Xianmeng Meng
Image segmentation is a crucial process in the field of image processing. Multilevel threshold segmentation is an effective image segmentation method, where an image is segmented into different regions based on multilevel thresholds for inf...
Recognition of inscribed cursive Pashtu numeral through optimized deep learning [0.03%]
基于优化深度学习的帕坦胡语书写数字识别
Sibtain Syed,Khalil Khan,Maqbool Khan et al.
Sibtain Syed et al.
Pashtu is one of the most widely spoken languages in south-east Asia. Pashtu Numerics recognition poses challenges due to its cursive nature. Despite this, employing a machine learning-based optical character recognition (OCR) model can be ...
HCGAN: hierarchical contrast generative adversarial network for unpaired sketch face synthesis [0.03%]
基于层次对比生成对抗网络的未配对素描人脸合成技术
Kangning Du,Zhen Wang,Lin Cao et al.
Kangning Du et al.
Transforming optical facial images into sketches while preserving realism and facial features poses a significant challenge. The current methods that rely on paired training data are costly and resource-intensive. Furthermore, they often fa...
Automated machine learning for fabric quality prediction: a comparative analysis [0.03%]
基于自动化的机器学习的织物品质预测方法比较分析研究
Ahmet Metin,Turgay Tugay Bilgin
Ahmet Metin
The enhancement of fabric quality prediction in the textile manufacturing sector is achieved by utilizing information derived from sensors within the Internet of Things (IoT) and Enterprise Resource Planning (ERP) systems linked to sensors ...
A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy [0.03%]
基于参考点和角度缓解策略的约束多目标进化算法Dual Population CMOEAsRPAES
Chen Ji,Linjie Wu,Tianhao Zhao et al.
Chen Ji et al.
Constrained many-objective optimization problems (CMaOPs) have gradually emerged in various areas and are significant for this field. These problems often involve intricate Pareto frontiers (PFs) that are both refined and uneven, thereby ma...