SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features [0.03%]
基于统计图像特征的藏红花掺假预测的集成方法SaffNet
Junaid Amin,Arvind Selwal,Ambreen Sabha
Junaid Amin
Saffron is one of the costlier spices that are cultivated in specific regions of the world. Due to its restricted accessibility and more popularity, eventually saffron adulteration is one of the concerning issues in the recent times. It bec...
Optimizing healthcare system by amalgamation of text processing and deep learning: a systematic review [0.03%]
基于文本处理和深度学习的医疗保健系统的优化：系统综述
Somiya Rani,Amita Jain
Somiya Rani
The explosion of clinical textual data has drawn the attention of researchers. Owing to the abundance of clinical data, it is becoming difficult for healthcare professionals to take real-time measures. The tools and methods are lacking when...
Automatic diagnosis of COVID-19 related respiratory diseases from speech [0.03%]
基于语音的新冠肺炎相关呼吸疾病自动诊断方法
Kushan Shekhar,Nagaratna B Chittaragi,Shashidhar G Koolagudi
Kushan Shekhar
In this work, an attempt is made to propose an intelligent and automatic system to recognize COVID-19 related illnesses from mere speech samples by using automatic speech processing techniques. We used a standard crowd-sourced dataset which...
Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review [0.03%]
用于大流行病检测和预测的深度学习技术：系统文献综述
Sunday Adeola Ajagbe,Matthew O Adigun
Sunday Adeola Ajagbe
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in the timely detection of any infectious disease (IDs) and is essential to the management of diseases and the prediction of future occurrences. Many sci...
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging [0.03%]
基于胸部X射线影像的COVID-19转移学习辅助检测深度高效网络
Hiba Mzoughi,Ines Njeh,Mohamed Ben Slima et al.
Hiba Mzoughi et al.
Corona Virus (COVID-19) could be considered as one of the most devastating pandemics of the twenty-first century. The effective and the rapid screening of infected patients could reduce the mortality and even the contagion rate. Chest X-ray...
SMS sentiment classification using an evolutionary optimization based fuzzy recurrent neural network [0.03%]
基于进化优化的模糊循环神经网络的短信情感分类
Ulligaddala Srinivasarao,Aakanksha Sharaff
Ulligaddala Srinivasarao
Sentiment analysis using the inbox message polarity is a challenging task in text mining, this analysis is used to differentiate spam and ham messages in mail. Polarity estimation is mandatory for spam and ham identification, whereas develo...
Monocular camera and laser based semantic mapping system with temporal-spatial data association for indoor mobile robots [0.03%]
具有时空数据关联的室内移动机器人的单目摄像机和激光语义地图系统
Xu Song,Zuo Zhijiang,Xuan Liang et al.
Xu Song et al.
In the future, the goal of service robots is to operate in human-centric indoor environments, requiring close cooperation with humans. In order to enable the robot to perform various interactive tasks, it is necessary for robots to perceive...
Farouq Aliyu,Mohammad A R Abdeen,Tarek Sheltami et al.
Farouq Aliyu et al.
A Smart City (SC) is a viable solution for green and sustainable living, especially with the current explosion in global population and rural-urban immigration. One of the fields that is not getting much attention in the Smart Economy (SE) ...
A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects [0.03%]
基于视觉的室内人类活动识别研究：现状、挑战与前景展望
Geetanjali Bhola,Dinesh Kumar Vishwakarma
Geetanjali Bhola
With the advent of technology, we are getting more comfortable with the use of gadgets, cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we perform throughout the day. In such a scenario, the use of c...
Accuracy comparisons of fingerprint based song recognition approaches using very high granularity [0.03%]
基于指纹的歌曲识别方法使用非常高粒度的准确度比较
Salvatore Serrano,Marco Scarpa
Salvatore Serrano
Music and song recognition is an activity of wide interest for researchers and companies due to the intrinsic challenges and the possible economical profits it can give. Despite basic algorithms about song recognition are simple in principl...