Harnessing deep learning for SNP-based disease prediction in genomics [0.03%]
基于SNP的疾病预测的深度学习方法在基因组学中的应用研究
Colten Alme,Harun Pirim,M Mishkatur Rahman
Colten Alme
This study investigates the use of deep learning models to predict disease status from single nucleotide polymorphism (SNP) data. Eight GEO datasets were processed using a consistent pipeline involving genotype encoding, data cleaning, and ...
On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection [0.03%]
基于R-范数q-评分图片模糊信息测度的改良逼近排序法及其在绿色供应商选择中的应用
Himanshu Dhumras,Rakesh K Bajaj,Varun Shukla
Himanshu Dhumras
The present communication introduces a new discriminant measure coined as R-norm q-rung picture fuzzy discriminant information measure which is more generalized in nature and has the capability to handle more flexibility inherited in the in...
Deep bidirectional LSTM for disease classification supporting hospital admission based on pre-diagnosis: a case study in Vietnam [0.03%]
基于既往诊断支持入院的疾病分类的深度双向LSTM：越南案例研究
Hai Thanh Nguyen,Khoa Dang Dang Le,Ngoc Huynh Pham et al.
Hai Thanh Nguyen et al.
Overcrowding in hospitals in Vietnam has caused many disadvantages in receiving and treating patients. Especially at the stage of receiving and diagnosing procedures taking patients to the treatment departments in the hospital takes up much...
Divya Rastogi,Tasha Singh Parihar,Harish Kumar
Divya Rastogi
In this research study, researcher tries to understand how Over-the-top platforms like Netflix categorically utilize aesthetic visual analysis (AVA); an image selection tool to reduce time and increase efficacy, through a parametric analysi...
Convolutional neural network based children recognition system using contactless fingerprints [0.03%]
基于卷积神经网络的非接触指纹儿童识别系统
Kanchana Rajaram,N G Bhuvaneswari Amma,S Selvakumar
Kanchana Rajaram
Biometric features are useful for unique identification, authentication, and security applications. Among all biometric features, fingerprints are the most commonly used because they contain ridges and valleys. There are challenges in recog...
Adoption and sustainability of bitcoin and the blockchain technology in Nigeria [0.03%]
尼日利亚的比特币和区块链技术的采用与可持续性
Eucharia Onyekwere,Francisca Nonyelum Ogwueleka,Martins Ekata Irhebhude
Eucharia Onyekwere
The rise of cryptocurrency, especially bitcoin, has opened up a lot of doors in the world of Financial Technology (FinTech) by attracting investors, media, and financial industry regulators. Bitcoin operates on blockchain technology, and it...
Bina Kotiyal,Heman Pathak,Nipur Singh
Bina Kotiyal
Fake news on social media has become a growing concern due to its potential impact on shaping public opinion. The proposed Debunking Multi-Lingual Social Media Posts using Deep Learning (DSMPD) approach offers a promising solution to detect...
Adoption of machine learning algorithm for predicting the length of stay of patients (construction workers) during COVID pandemic [0.03%]
基于机器学习算法预测新冠疫情下住院病人（建筑工人）的住院时长
S Selvakumara Samy,S Karthick,Meghna Ghosal et al.
S Selvakumara Samy et al.
The construction sector in a rapidly developing country like India is a very unorganized sector. A large number of workers were affected and hospitalized during the pandemic. This situation is costing the sector heavily in several respects....
Detecting influential nodes with topological structure via Graph Neural Network approach in social networks [0.03%]
基于图神经网络的社会网络拓扑结构影响力节点挖掘方法研究
Riju Bhattacharya,Naresh Kumar Nagwani,Sarsij Tripathi
Riju Bhattacharya
Detecting influential nodes in complex social networks is crucial due to the enormous amount of data and the constantly changing behavior of existing topologies. Centrality-based and machine-learning approaches focus mostly on node topologi...
Improved local descriptor (ILD): a novel fusion method in face recognition [0.03%]
一种改进的局部描述子融合方法及其在人脸识别中的应用研究
Shekhar Karanwal
Shekhar Karanwal
Literature suggests that by fusing multiple features there is immense improvement in the recognition rates as compared to the recognition rates of single descriptor. This motivate researchers to develop more and more fused descriptors by jo...