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Sistem Identifikasi Kesehatan Pencernaan Berdasar Suara Usus Menggunakan Embedded System
Published 2023-04-01Get full text
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803
Was It an Adrenocortical Adenoma or an Adrenocortical Carcinoma? Limitation of the Weiss Scoring System in Determining the Malignant Potential of Adrenocortical Tumor: Report on Tw...
Published 2022-01-01“…Various alternative classification systems and algorithms exist but none are proven to be perfect. …”
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804
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Impairment of Microcirculation Parameters in Patients with a History of Diabetic Foot Ulcers
Published 2024-12-01“…Patients in Grade 3 were more likely to present with retinopathy (OR 3.15, 95%CI [1.53; 6.49]) and severe sudomotor dysfunction (OR 2.73 95%CI [1.29; 5.80] but less likely to have abnormal VPT (OR 0.20 95%CI [0.05; 0.80]). …”
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806
Social Attitudes toward Cerebral Palsy and Potential Uses in Medical Education Based on the Analysis of Motion Pictures
Published 2015-01-01“…The geographical distribution of movie number ever produced is as follows: North America 12, Europe 11, India 2, East Asia 6, and Australia 3. The CP incidences of different motor types in real world and in movies, respectively, are 78–86%, 65% (Spastic); 1.5–6%, 9% (Dyskinetic); 6.5–9%, 26% (Mixed); 3%, 0% (Ataxic); 3-4%, 0% (Hypotonic). …”
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807
Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM
Published 2021-01-01Get full text
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808
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Fault Diagnosis of Wind Turbine Gearbox Based on Multisensor Data Fusion
Published 2022-01-01Get full text
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810
Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor
Published 2022-01-01“…Based on the two kinds of preprocessed data, the parameters such as sample mean, standard deviation, information entropy, and mean square error are calculated as classification features, the support vector machine (SVM) classification model is established, and the movements of six kinds of gymnastics are effectively recognized. …”
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Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
Published 2014-01-01Get full text
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812
Computational intelligence in the identification of Covid-19 patients by using KNN-SVM Classifier
Published 2024-12-01Get full text
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813
Pour une définition de la notion de minorité linguistique : les difficultés du vague
Published 2018-11-01Get full text
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814
Behavior Identification Based on Geotagged Photo Data Set
Published 2014-01-01Get full text
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816
Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder
Published 2025-01-01Get full text
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817
A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions
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818
Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’
Published 2023-08-01“…The results show that (1) The classification before sorting (CBS+) defect density calculation strategy achieves the best overall performance. (2) Using balanced distribution adaption (BDA) and joint distribution adaptation (JDA) with the K‐nearest neighbour classifier to build the EACPDP model can find 15% and 14.3% more defective modules and 11.6% and 8.9% more defects while achieving the acceptable initial false alarms (IFA). (3) Better comprehensive classification performance of the methods can bring better EACPDP performance to some extent. (4) A flexible adjustment of the defect threshold λ of the CBS+ strategy contribute to different goals. …”
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819
Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning
Published 2025-01-01“…The proposed stem detection and apple body classification models provide innovative solutions for detection and classification tasks in automated fruit grading, offering a comprehensive and replicable research framework for standardizing image processing and feature extraction for apples and similar spherical fruit bodies.…”
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Knowledge and Lifestyle-Associated Prevalence of Obesity among Newly Diagnosed Type II Diabetes Mellitus Patients Attending Diabetic Clinic at Komfo Anokye Teaching Hospital, Kumas...
Published 2016-01-01“…Prevalence of obesity was 61.3% according to WHR classification, 40.8% according to WHtR classification, 26.1% according to WC, and 14.8% according to BMI classification. …”
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