Taymaz Akan,Diego Oliva,Ali-Reza Feizi-Derakhshi et al.
Taymaz Akan et al.
Image segmentation, the process of partitioning an image into meaningful regions, is a fundamental step in image processing, crucial for applications like computer vision, medical imaging, and object recognition. Image segmentation is an es...
Sait Alp,Rahim Dehkharghani,Taymaz Akan et al.
Sait Alp et al.
Battle Royale Optimizer (BRO) is a recently proposed optimization algorithm that has added a new category named game-based optimization algorithms to the existing categorization of optimization algorithms. Both continuous and binary version...
Optimizing inference of segmentation on high-resolution images in MLExchange [0.03%]
在MLExchange中优化高分辨率图像分割的推理
Shizhao Lu,Tanny Chavez,Wiebke Koepp et al.
Shizhao Lu et al.
MLExchange is a machine learning (ML) operations platform providing web user-interfaces (UIs) for data visualization and analysis pipelines at synchrotron facilities. Among these UIs is the segmentation app which helps synchrotron users uti...
Topic sentiment analysis based on deep neural network using document embedding technique [0.03%]
基于文档嵌入技术的深度神经网络主题情感分析方法研究
Azam Seilsepour,Reza Ravanmehr,Ramin Nassiri
Azam Seilsepour
Sentiment Analysis (SA) is a domain- or topic-dependent task since polarity terms convey different sentiments in various domains. Hence, machine learning models trained on a specific domain cannot be employed in other domains, and existing ...
AEGA: enhanced feature selection based on ANOVA and extended genetic algorithm for online customer review analysis [0.03%]
基于ANOVA和扩展遗传算法的在线客户评论分析增强特征选择方法(AEGA)
Gyananjaya Tripathy,Aakanksha Sharaff
Gyananjaya Tripathy
Sentiment analysis involves extricating and interpreting people's views, feelings, beliefs, etc., about diverse actualities such as services, goods, and topics. People intend to investigate the users' opinions on the online platform to achi...
Jinxiang Feng,Jie Xu,Yizhi Deng et al.
Jinxiang Feng et al.
Inspired by Fechner's law, we propose a Fechner multiscale local descriptor (FMLD) for feature extraction and face recognition. Fechner's law is a well-known law in psychology, which states that a human perception is proportional to the log...
Time-aware neural ordinary differential equations for incomplete time series modeling [0.03%]
时间感知神经常微分方程的不完整时间序列建模
Zhuoqing Chang,Shubo Liu,Run Qiu et al.
Zhuoqing Chang et al.
Internet of Things realizes the ubiquitous connection of all things, generating countless time-tagged data called time series. However, real-world time series are often plagued with missing values on account of noise or malfunctioning senso...
SiMAIM: identifying sockpuppets and puppetmasters on a single forum-oriented social media site [0.03%]
SiMAIM：识别定向社交网站上的马甲和主号用户
Ying-Ho Liu,Chia-Yu Kuo
Ying-Ho Liu
With the Internet becoming indispensable in our lives, social media has become an integral part of our lives. However, with this has come the phenomenon of a single user registering multiple accounts (sockpuppets) to advertise, spam, or cau...
Composition of caching and classification in edge computing based on quality optimization for SDN-based IoT healthcare solutions [0.03%]
基于SDN的IoT医疗解决方案中用于质量优化的边缘计算缓存与分类组合方法
Seyedeh Shabnam Jazaeri,Parvaneh Asghari,Sam Jabbehdari et al.
Seyedeh Shabnam Jazaeri et al.
This paper proposes a novel approach that uses a spectral clustering method to cluster patients with e-health IoT devices based on their similarity and distance and connect each cluster to an SDN edge node for efficient caching. The propose...
BejaGNN: behavior-based Java malware detection via graph neural network [0.03%]
基于行为的图神经网络Java恶意软件检测(BejaGNN)
Pengbin Feng,Li Yang,Di Lu et al.
Pengbin Feng et al.
As a popular platform-independent language, Java is widely used in enterprise applications. In the past few years, language vulnerabilities exploited by Java malware have become increasingly prevalent, which cause threats for multi-platform...