Chemical Diversity of UK-Grown Tea Explored Using Metabolomics and Machine Learning by Amanda J. Lloyd, Alina Warren-Walker, Jasen Finch, Jo Harper, Kathryn Bennet, Alison Watson, Laura Lyons, Pilar Martinez Martin, Thomas Wilson, Manfred Beckmann

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Xception ile Histopatolojik Görüntülerden Oral Kanser Teşhisi by Cihan Akyel

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Outcomes of Type I Tympanoplasty using a Cartilage Shield Graft by Murad Ghazi Ahmed, Said M. Said Aljaff, Hiwa Asaad Abdulkareem

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A Novel Three-Dimensional Direction-of-Arrival Estimation Approach Using a Deep Convolutional Neural Network by Constantinos M. Mylonakis, Zaharias D. Zaharis

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Assessment of competences: professioh nal and university environment by Z. . Yakimova, V. . Nikolaeva

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The choice of the content of training process for mass-category athletes in view of the subjectivity of competitive activity by Orlov, Andrey I., Talantseva, Valentina K., Shilenko, Olga V., Petrova, Tatyana N., Kudratova, Lola A.

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Drug-Induced Liver Injuries (Clinical Guidelines for Physicians) by Vladimir T. Ivashkin, Andrey Yu. Baranovsky, Karina L. Raikhelson, Lyudmila K. Palgova, Marina V. Maevskaya, Elina A. Kondrashina, Natalya V. Marchenko, Tatyana P. Nekrasova, Igor G. Nikitin

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HYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery by D. Jalal Nouri, M. Saniee Abadeh, F. Ghareh Mohammadi

“…The performance of HYEI has been evaluated by using several benchmark datasets from the UCI machine learning repository. The classification accuracy attained by the proposed algorithm has the highest classification accuracy in 6 out of the 7 dataset problems and is comparative to the classification accuracy of the 5 other test problems, as compared to the best results previously published.…”
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تأثیر النشر الدولی على ترتیب الجامعات : جامعة القاهرة نموذجا by د. کریمان بکنام صدقى

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An Efficient Fitness Function in Genetic Algorithm Classifier for Landuse Recognition on Satellite Images by Ming-Der Yang, Yeh-Fen Yang, Tung-Ching Su, Kai-Siang Huang

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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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Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces by Olatunbosun Agbo-Ajala, Serestina Viriri

“…It improves over the best-reported results by 16.6% (exact accuracy) and 3.2% (one-off accuracy) for age group classification and also there is an improvement of 3.0% (exact accuracy) for gender classification.…”
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Teaching Quality Evaluation of Ideological and Political Courses in Colleges and Universities Based on Machine Learning by Lijun Qiao

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Application of Multiacoustic Data in Feature Extraction of Anemometer by Dawei Chen, Xu Guo

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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…</a>, <a href="#bib1.bibx5">2024</a><a href="#bib1.bibx5">a</a></span>), the trained model, and the associated codes (<a href="https://doi.org/10.5281/zenodo.13150879">https://doi.org/10.5281/zenodo.13150879</a>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx6">Gao et al.</a>, <a href="#bib1.bibx6">2024</a><a href="#bib1.bibx6">b</a></span>) publicly available for further research and validation of intelligent seismic facies classification.…”
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A New Algorithm for Extracting Winter Wheat Planting Area Based on Ownership Parcel Vector Data and Medium-Resolution Remote Sensing Images by Huaming Xie, Qianjiao Wu, Ting Zhang, Zhende Teng, Hao Huang, Ying Shu, Shaoru Feng, Jing Lou

“…The experimental results show that the new algorithm can effectively extract winter wheat planting area, eliminate the problem of salt-and-pepper noise, and obtain high-precision classification results (kappa = 0.9279, overall accuracy = 96.41%, user’s accuracy = 99.16%, producer’s accuracy = 93.39%, commission errors = 0.84%, and omission errors = 6.61%) when the size of ownership parcels matches the spatial resolution of remote sensing images.…”
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Design and Evaluation of a Hybrid Technique for Detecting Sunflower Leaf Disease Using Deep Learning Approach by Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso

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Rapid Analytical Method to Characterize the Freshness of Olive Oils Using Fluorescence Spectroscopy and Chemometric Algorithms by Aimen El Orche, Mustapha Bouatia, Mohamed Mbarki

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Parsimonious versus extensive bleeding score: can we simplify risk stratification after percutaneous coronary intervention and reduce bleeding events by de-escalation of the antipl... by Pascal Vranckx, Stephan Windecker, Marco Valgimigli, Neil O’Leary, Yoshinobu Onuma, Peter Damman, Eva Christine Ida Woelders, Kai Ninomiya, Denise Adriana Maria Peeters, Arnoud Willem Johannes van 't Hof, Patrick Washington J C Serruys, Robert-Jan Matthijs van Geuns

“…Also, the outcomes stratified by either method were compared and the interaction of HBR on the treatment effect was determined.Results The required parameters for the ZON-HR classification (3.7% HBR) and PRECISE-DAPT score (16.6% HBR) were available in 99.9% and 93% of the patients, respectively. …”
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Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

“…The results revealed that the object-oriented classification method exhibited a general accuracy of 92%, outperforming the pixel-based method, which achieved a general accuracy of 81.6%. …”
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