Results 1 to 10 of about 3,685,912 (292)
Automatic Detection of Welding Defects Using Faster R-CNN
Applied Sciences, 2020 In the shipbuilding industry, the non-destructive testing for welding quality inspection is mainly used for the permanent storage of the testing results and the radio-graphic testing which can visually inspect the interior of the welded part. Experts are
Sang-jin Oh +3 more
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Automatic Detection and Proximity Quantification of Inferior Alveolar Nerve and Mandibular Third Molar on CBCT: A Systematic Review [PDF]
Journal of Pharmacy and Bioallied SciencesThe 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 +5 more
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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 +4 more
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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 +5 more
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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 +2 more
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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 +4 more
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Frontiers in Medicine, 2022 ObjectiveActive abdominal arterial bleeding is an emergency medical condition. Herein, we present our use of this two-stage InterNet model for detection of active abdominal arterial bleeding using emergency DSA imaging.MethodsFirstly, 450 patients who ...
Xiangde Min +7 more
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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 +2 more
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Automatic detection of cataplexy [PDF]
Sleep Medicine, 2018 Although being the most specific symptom of narcolepsy type 1 (NT1), cataplexy is currently investigated by clinical interview only, with potential diagnostic pitfalls. Our study aimed at testing the accuracy of an automatic video detection of cataplexy in NT1 patients vs.
Bartolini, Ilaria +6 more
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IEEE Access, 2021 Invasive ductal carcinoma (IDC) is the most common type of breast cancer which is the leading cause of cancer-related deaths in middle-aged women. Pathological analysis of biopsy is the gold standard for diagnosis of breast cancer, and early detection ...
Jianfei Zhang +3 more
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