Jinkang Guo,Zhihan Lv
Jinkang Guo
With the development of science and technology, the high-tech industry is developing rapidly, and various new-age technologies continue to appear, and Digital Twins (DT) is one of them. As a brand-new interactive technology, DT technology c...
SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network [0.03%]
基于启发式深度神经网络的废除大面额纸币推文情感分析
Şafak Kayıkçı
Şafak Kayıkçı
Sentiment analysis is one of the efficient models for extracting opinion mining with identification and classification from unstructured text data such as product reviews or microblogs. It is used to gain feedback from political campaigns, ...
Classification of malignant tumors by a non-sequential recurrent ensemble of deep neural network model [0.03%]
基于深度神经网络非顺序循环集成模型的恶性肿瘤分类
Dipanjan Moitra,Rakesh Kr Mandal
Dipanjan Moitra
Many significant efforts have so far been made to classify malignant tumors by using various machine learning methods. Most of the studies have considered a particular tumor genre categorized according to its originating organ. This has enr...
Automatic detection of osteosarcoma based on integrated features and feature selection using binary arithmetic optimization algorithm [0.03%]
基于集成特征和二进制算术优化算法特征选择的自动骨肉瘤检测方法研究
Priti Bansal,Kshitiz Gehlot,Abhishek Singhal et al.
Priti Bansal et al.
Osteosarcoma is one of the most common malignant bone tumors mostly found in children and teenagers. Manual detection of osteosarcoma requires expertise and it is a labour-intensive process. If detected on time, the mortality rate can be re...
Patient privacy in smart cities by blockchain technology and feature selection with Harris Hawks Optimization (HHO) algorithm and machine learning [0.03%]
基于区块链技术和霍里斯 Hawks 优化算法的智能城市患者隐私保护研究
Haedar Al-Safi,Jorge Munilla,Javad Rahebi
Haedar Al-Safi
A medical center in the smart cities of the future needs data security and confidentiality to treat patients accurately. One mechanism for sending medical data is to send information to other medical centers without preserving confidentiali...
Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images [0.03%]
具有新颖损失函数的深结构残差编码器解码器网络用于肾脏和乳腺组织学图像细胞核分割
Amit Kumar Chanchal,Shyam Lal,Jyoti Kini
Amit Kumar Chanchal
To improve the process of diagnosis and treatment of cancer disease, automatic segmentation of haematoxylin and eosin (H & E) stained cell nuclei from histopathology images is the first step in digital pathology. The proposed deep structure...
An enhanced algorithm for improving real-time video transmission for tele-training education [0.03%]
一种改进实时视频传输的远程培训教育算法
Pooja Maharjan,Abeer Alsadoon,P W C Prasad et al.
Pooja Maharjan et al.
Tele-training in surgical education has not been effectively implemented. There is a stringent need for a high transmission rate, reliability, throughput, and reduced distortion for high-quality video transmission in the real-time network. ...
Using refined kano model and decision trees to discover learners' needs for teaching videos [0.03%]
运用改进的kano模型和决策树挖掘学员对教学视频的需求
Wen-Kuo Chen,Jing-Rong Chang,Long-Sheng Chen et al.
Wen-Kuo Chen et al.
With the advancement of technology and the spread of the COVID19 epidemic, learning can no longer only be done through face-to-face teaching. Numerous digital learning materials have appeared in large numbers, changing people's learning mod...
A new spatial spherical pattern model into interactive cartography pattern: multi-dimensional data via geostrategic cluster [0.03%]
一种新的空间球面图案模型在交互式地图绘制模式中的应用——通过地缘战略集群处理多维数据
Saber Zerdoumi,Ibrahim Abaker Targio Hashem,Noor Zaman Jhanjhi
Saber Zerdoumi
A growing amount of research conducted in digital, cooperative with advances in Artificial Intelligence, Computer Vision including Machine learning, has managed to the advance of progressive techniques that aim to detect and process affecti...
Diagnosis of hypercritical chronic pulmonary disorders using dense convolutional network through chest radiography [0.03%]
基于胸部X光片的密集型卷积神经网络在慢性重症肺部疾病诊断中的应用研究
Rajat Mehrotra,Rajeev Agrawal,M A Ansari
Rajat Mehrotra
Lung-related ailments are prevalent all over the world which majorly includes asthma, chronic obstructive pulmonary disease (COPD), tuberculosis, pneumonia, fibrosis, etc. and now COVID-19 is added to this list. Infection of COVID-19 poses ...