Evaluation of Efficacy of Artificial Intelligence in Orthopantomogram in Detecting and Classifying Radiolucent Lesions by Sheetal Singar, Ajay Parihar, Prashanthi Reddy

“…CNN-II showing sensitivity for classification of the benign lesion is 70% and for classification of the malignant lesion is 63.3% with overall classification sensitivity is 66.6%. …”
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Investigating Rotor Conditions on Wind Turbines Using Integrating Tree Classifiers by Bikash Chandra Saha, Joshuva Arockia Dhanraj, M. Sujatha, R. Vallikannu, Mohana Alanazi, Ahmad Almadhor, Ravishankar Sathyamurthy, Kuma Gowwomsa Erko, V. Sugumaran

“…Among the classifiers, the least absolute deviation tree performed better with the classification percentage of 90% (Kappa statistics=0.88, MAE=0.0362, and RMSE=0.1704) with a computational time of 0.06 s.…”
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Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms by Imad Zyout, Ikhlas Abdel-Qader, Christina Jacobs

“…In this paper, a new framework that integrates Bayesian classifier and a pattern synthesizing scheme for detecting microcalcification clusters is proposed. …”
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A diagnostic classifier for osteoarthritis constructed based on cuprotosis-related genes by Xiaopeng Jia, Honglu Chen, An Li

“…We aimed to explore the potential role of CRGs in OA and to establish a diagnostic classifier.…”
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Obscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier by Rashed Mustafa, Yang Min, Dingju Zhu

“…The experiment showed that, considering accuracy, haar-cascade classifier performs well, but in order to satisfy detection time, train-cascade classifier is suitable. …”
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Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach by Radhika Kamath, Mamatha Balachandra, Srikanth Prabhu

“…This paper investigates the multiple classifier systems built using support vector machines and random forest classifiers for plant classification in classifying paddy crops and weeds from digital images. …”
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PPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction Prediction by Jianzhuang Yao, Hong Guo, Xiaohan Yang

“…Although different classifiers have been developed for PPI prediction, no single classifier seems to be able to predict PPI with high confidence. …”
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Classified List of Species Observed by H. G. Hubbard on the Giant Cactus by E. A. Schwarz

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Accurate identification of oxygen desaturation status in COPD by using classifier ensemble. by Yue-Fang Wu, Xin Shu, Shiqi Wang, Xiaojun Xu, Pei-Li Sun

“…We propose a new and effective EIOD status identification method by using classifier ensemble strategy. In the proposed method, five different features of each data point from the time series of SpO2 and pulse are extracted and then combined to form the discriminative feature of the corresponding data point; then, multiple base classifiers with different balanced training subsets are trained and then integrated by using AdaBoost Algorithm. …”
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L'interprétation matricielle de la théorie de Markoff classique by Serge Perrine

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Classifying strategies for building community health movements: a guide for implementers by Felicia Jia Hui Chan, Alyssa Yenyi Chan, Wen Xi Zhuang, Priyanka Rajendram, Joseph Jie Hui Quek, Weng Mooi Tan, Yoek Ling Yong, Clarice Liying Song, Zoe Jane-Lara Hildon

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Classification of environments based on correlations of yield in spring bread wheat by S. B. Lepekhov

“…Researchers have developed different ways to classify environments to mitigate its effect. The use of correlation analysis between yields of cultivars grown in different environments was earlier proposed for classification of these environments.The aim of this research was to classify years on the basis of correlations of the yields in a specially selected set of spring bread wheat cultivars and to verify the application of such classification to breeding material in different nurseries.Materials and methods. …”
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Nonlinear Super Integrable Couplings of Super Classical-Boussinesq Hierarchy by Xiuzhi Xing, Jingzhu Wu, Xianguo Geng

“…Nonlinear integrable couplings of super classical-Boussinesq hierarchy based upon an enlarged matrix Lie super algebra were constructed. …”
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Classification of Dyslexia Among School Students Using Deep Learning by Alia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia Al-Ubaidi

“…The CNN learns to automatically extract discriminative features from the spectrogram images and classify them into dyslexic and non-dyslexic categories. …”
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Mosaic-Mixed Attention-Based Unexpected Traffic Scene Classification by Sang-Hyun Lee, Soomok Lee, Ilsoo Yun

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Deep Learning Approach for Ascaris lumbricoides Parasite Egg Classification by Narut Butploy, Wanida Kanarkard, Pewpan Maleewong Intapan

“…The results showed that the classification accuracy of the parasite eggs is up to 93.33%. …”
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Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification by Ahmad Ubai Dullah, Aditya Yoga Darmawan, Dwika Ananda Agustina Pertiwi, Jumanto Unjung

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An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

Subjects: “…skin cancer classification…”
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Aura phenomenon: a proposal for an etiology-based clinical classification by Umberto Pensato, Andrew M. Demchuk, Jens P. Dreier, Kevin C. Brennan, Simona Sacco, Michele Romoli

“…Conclusion This nuanced classification aims to aid in the diagnostic evaluation and phenotyping of aura phenomenon, ultimately improving the diagnosis and management of the different associated neurological conditions. …”
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