Talib Iqball,M Arif Wani
Talib Iqball
The Deep Convolutional Neural Network (DCNN) classification models are being tremendously used across many research fields including medical science for image classification. The accuracy of the model and reliability on the results of the m...
Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules [0.03%]
模糊加权贝叶斯信念网络：一种使用模糊加权规则的医学知识驱动贝叶斯模型
Shweta Kharya,Sunita Soni,Tripti Swarnkar
Shweta Kharya
In this current work, Weighted Bayesian Association rules using the Fuzzy set theory are proposed with the new concept of Fuzzy Weighted Bayesian Association Rules to design and develop a Clinical Decision Support System on the Bayesian Bel...
A framework for vehicle quality evaluation based on interpretable machine learning [0.03%]
基于可解释机器学习的车辆质量评价体系构建研究
Mohammad Alwadi,Girija Chetty,Mohammad Yamin
Mohammad Alwadi
Ensuring high quality of a vehicle will increase the lifetime and customer experience, in addition to the maintenance problems, and it is important that there are objective scientific methods available, for evaluating the quality of the veh...
Sandhya Avasthi,Ritu Chauhan,Debi Prasanna Acharjya
Sandhya Avasthi
The usage of various software applications has grown tremendously due to the onset of Industry 4.0, giving rise to the accumulation of all forms of data. The scientific, biological, and social media text collections demand efficient machine...
Mohamed Hamidi,Ouissam Zealouk,Hassan Satori et al.
Mohamed Hamidi et al.
This paper is a part of our contributions to research on the ongoing COVID-19 pandemic around the world. This research aims to use Hidden Markov Model (HMM) based automatic speech recognition system to analyze the cough signal and determine...
A novel stock counting system for detecting lot numbers using Tesseract OCR [0.03%]
一种使用Tesseract OCR检测批号的新型库存计数系统
Parkpoom Lertsawatwicha,Phumidon Phathong,Napatsorn Tantasanee et al.
Parkpoom Lertsawatwicha et al.
Counting stock is one of the warehouse's methods for preventing insatiable stock. Moreover, it could help the company forecast how many products they need to store and predict the replenished goods for customers. However, stock count in the...
Predicting opinion evolution based on information diffusion in social networks using a hybrid fuzzy based approach [0.03%]
基于混合模糊方法的社会网络中信息扩散预测意见演变模型
Samson Ebenezar Uthirapathy,Domnic Sandanam
Samson Ebenezar Uthirapathy
Social media plays an important role in disseminating information and analysing public and government opinions. The vast majority of previous research has examined information diffusion and opinion analysis separately. This study proposes a...