Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing [0.03%]
基于机器学习和快速数据处理的实时传染病耐受指标系统用于科学决策
Shivendra Dubey,Dinesh Kumar Verma,Mahesh Kumar
Shivendra Dubey
The SARS-CoV-2 virus, which induces an acute respiratory illness commonly referred to as COVID-19, had been designated as a pandemic by the World Health Organization due to its highly infectious nature and the associated public health risks...
Adaptive adjacent context negotiation network for object detection in remote sensing imagery [0.03%]
面向遥感图像目标检测的自适应相邻上下文协商网络
Yan Dong,Yundong Liu,Yuhua Cheng et al.
Yan Dong et al.
Accurate localization of objects of interest in remote sensing images (RSIs) is of great significance for object identification, resource management, decision-making and disaster relief response. However, many difficulties, like complex bac...
Abdu Salam,Faizan Ullah,Farhan Amin et al.
Abdu Salam et al.
Background: Cancer remains one of the leading causes of mortality globally, with conventional chemotherapy often resulting in severe side effects and limited effectiveness. Recent advancements in bioinformatics and machin...
Samiullah Khan,Khalid Saeed,Muhammad Faran Majeed et al.
Samiullah Khan et al.
In delay tolerant networks (DTNs) the messages are often not delivered to the destination due to a lack of end-to-end connectivity. In such cases, the messages are stored in the buffer for a long time and are transmitted when the nodes come...
Georgiana Tucudean,Marian Bucos,Bogdan Dragulescu et al.
Georgiana Tucudean et al.
Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the ma...
Deep reinforcement learning models in auction item price prediction: an optimisation study of a cross-interval quotation strategy [0.03%]
拍卖物品价格预测中的深度强化学习模型：跨间隔报价策略的优化研究
Da Ke,Xianhua Fan
Da Ke
In the contemporary digitalization landscape and technological advancement, the auction industry undergoes a metamorphosis, assuming a pivotal role as a transactional paradigm. Functioning as a mechanism for pricing commodities or services,...
MonARCh: an actor based architecture for dynamic linked data monitoring [0.03%]
基于动态链数据监测的演员式体系结构MONARCH
Burak Yönyül,Oylum Alatlı,Rıza Cenk Erdur
Burak Yönyül
Monitoring the data sources for possible changes is an important consumption requirement for applications running in interaction with the Web of Data. In this article, MonARCh which is an architecture for monitoring the result changes of re...
A novel 3D LiDAR deep learning approach for uncrewed vehicle odometry [0.03%]
一种无人车新型基于3D激光雷达的深度学习位姿估计方法
Wang QiXin,Wang Mingju
Wang QiXin
Self-localization and pose registration are required for sound operation of next generation autonomous vehicles under uncertain environments. Thus, precise localization and mapping are crucial tasks in odometry, planning and other downstrea...
Heyu Zhang,Binglong Li,Shilong Yu et al.
Heyu Zhang et al.
The combination of memory forensics and deep learning for malware detection has achieved certain progress, but most existing methods convert process dump to images for classification, which is still based on process byte feature classificat...
Towards reliable healthcare Imaging: conditional contrastive generative adversarial network for handling class imbalancing in MR Images [0.03%]
处理MR图像类别不平衡的条件对比生成对抗网络走向可靠的医疗影像
Lijuan Cui,Dengao Li,Xiaofeng Yang et al.
Lijuan Cui et al.
Background: Medical imaging datasets frequently encounter a data imbalance issue, where the majority of pixels correspond to healthy regions, and the minority belong to affected regions. This uneven distribution of pixels...