Results 1 to 10 of about 6,422,664 (364)

Automatic Detection and Proximity Quantification of Inferior Alveolar Nerve and Mandibular Third Molar on CBCT: A Systematic Review

Journal of Pharmacy and Bioallied Sciences
The present systematic review aimed to investigate AI-based automated identification and proximity quantification of the inferior alveolar nerve (IAN) and the mandibular third molar (M3) on CBCT images. Precise localization of the IAN is important in the
Abdullah R. F. Alanazi, Saud A. T. Alshammari, Salman A. S. Aljudaya, Dari A. S. Alshammri, Faisal M. S. Alazmi, Namdeo Prabhu   +5 more
doaj   +2 more sources

Automatic Detection of Chewing and Swallowing [PDF]

Sensors, 2021
A series of eating behaviors, including chewing and swallowing, is considered to be crucial to the maintenance of good health. However, most such behaviors occur within the human body, and highly invasive methods such as X-rays and fiberscopes must be utilized to collect accurate behavioral data.
Akihiro Nakamura, Takato Saito, Daizo Ikeda, Ken Ohta, Hiroshi Mineno, Masafumi Nishimura   +5 more
openaire   +3 more sources

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks [PDF]

Physical and Engineering Sciences in Medicine, 2020
In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detection of the Coronavirus disease.
Ioannis D. Apostolopoulos, Tzani Bessiana   +1 more
semanticscholar   +1 more source

Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks [PDF]

Pattern Analysis and Applications, 2020
The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries and is approaching approximately 101,917,147 cases worldwide according to the statistics of World Health Organization.
A. Narin, Ceren Kaya, Ziynet Pamuk
semanticscholar   +1 more source

COMPARATIVE ANALYSIS OF GOST R AND IMO MSC/CIRC. REQUIREMENTS DETERMINING THE QUALITY OF FOAMING AGENTS USED FOR FIRE EXTINGUISHING BY FOAMS [PDF]

Актуальные вопросы пожарной безопасности, 2020
The article provides the analysis of the GOST R and IMO MSC/Circ. requirements determining the quality of foaming agents used for fire extinguishing by foams.
Sergey N. Kopylov, Dmitry S. Shentyapin, Evgeny V. Baranov, Vladimir V. Grishin, Evgeny E. Arkhipov   +4 more
doaj   +1 more source

A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

IEEE Access, 2021
Breast cancer (BC) is one of the primary causes of cancer death among women. Early detection of BC allows patients to receive appropriate treatment, thus increasing the possibility of survival.
Abeer Saber, Mohamed Sakr, O. M. Abo-Seida, Arabi Keshk, Huiling Chen   +4 more
semanticscholar   +1 more source

Automatic Sarcasm Detection [PDF]

ACM Computing Surveys, 2017
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, automatic sarcasm detection has witnessed great interest from the sentiment analysis community.
Aditya Joshi 0001, Pushpak Bhattacharyya, Mark James Carman   +2 more
openaire   +3 more sources

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

Nature Communications, 2021
Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses and appropriate treatments. Single disease-based deep learning algorithms had been developed for the detection of diabetic retinopathy, age-related macular ...
Ling-Ping Cen, Jie Ji, Jianwei Lin, Sibo Ju, Hongjie Lin, Taiping Li, Yun Wang, Jian-Feng Yang, Yu-Fen Liu, Shaoying Tan, L. Tan, Dongjie Li, Yifan Wang, D. Zheng, Yongqun Xiong, Hanfu Wu, Jingjing Jiang, Zhenggen Wu, Dingguo Huang, Tingkun Shi, Binyao Chen, Jianling Yang, Xiaoling Zhang, Li Luo, Chukai Huang, Guihua Zhang, Yuqiang Huang, T. Ng, H. Chen, Weiqi Chen, C. Pang, Mingzhi Zhang   +31 more
semanticscholar   +1 more source

Automaticity and the detection of speech [PDF]

Memory & Cognition, 1992
The development of automatic perceptual responses to speech stimuli was examined. In the first experiment, phoneme-monitoring performance for speech syllables was examined under conditions in which stimulus-to-response mapping and memory load were manipulated. The results indicated that automaticity develops under consistent-mapping conditions.
J W, Mullennix, J R, Sawusch, L F, Garrison   +2 more
openaire   +2 more sources

Feature-Level Attentive Neural Model for Session-Based Recommendation

IEEE Access, 2020
The main goal of session-based recommendation is to predict a user's next click based on historical anonymous session data. One important aspect is capturing the interest drift that occurs in a user's click sequences. Recent studies have mainly exploited
Qing Yang, Peicheng Luo, Xinghe Cheng, Ning Li, Jingwei Zhang   +4 more
doaj   +1 more source