A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

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Chronological Classification of Ancient Mortars Employing Spectroscopy and Spectrometry Techniques: Sagunto (Valencia, Spain) Case by M. Ramacciotti, S. Rubio, G. Gallello, M. Lezzerini, S. Columbu, E. Hernandez, A. Morales-Rubio, A. Pastor, M. de la Guardia

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Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazuyuki Honkawa, Yoichiro Horii

“…Our research focuses on developing a robust system for calving cattle classification and calving time prediction, utilizing 12-h trajectory data for 20 cattle. …”
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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

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Rapid and non-destructive classification of rice seeds with different flavors: an approach based on HPFasterNet by Helong Yu, Helong Yu, Zhenyang Chen, Shaozhong Song, Shaozhong Song, Shaozhong Song, Chunyan Qi, Junling Liu, Chenglin Yang

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Impact of environmental and geographical position on the chemometric classification of ethanol extracts from Isotoma longiflora leaves by E. Imelda, K. Khairan, R.R. Lubis, T. Karma, R. Idroes

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A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method by S. M. Nuruzzaman Nobel, S. M. Masfequier Rahman Swapno, Md. Rajibul Islam, Mejdl Safran, Sultan Alfarhood, M. F. Mridha

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Land use and land cover classification for change detection studies using convolutional neural network by V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy

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An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

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New System for the Classification of Epiphyseal Separation of the Coracoid Process: Evaluation of Nine Cases and Review of the Literature by Takamitsu Mondori, Yoshiyuki Nakagawa, Shimpei Kurata, Shuhei Fujii, Takuya Egawa, Kazuya Inoue, Yasuhito Tanaka

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EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification by Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, Arsalan Khurshid, Yan Xu, Laishuan Wang, Saadullah Farooq Abbasi, Chen Chen, Wei Chen

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Chrysanthemum classification method integrating deep visual features from both the front and back sides by Yifan Chen, Xichen Yang, Hui Yan, Hui Yan, Jia Liu, Jian Jiang, Zhongyuan Mao, Tianshu Wang, Tianshu Wang

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Focal Nodular Hyperplasia and Hepatocellular Adenoma around the World Viewed through the Scope of the Immunopathological Classification by Charles Balabaud, Wesal R. Al-Rabih, Pei-Jer Chen, Kimberley Evason, Linda Ferrell, Juan C. Hernandez-Prera, Shiu-Feng Huang, Thomas Longerich, Young Nyun Park, Alberto Quaglia, Peter Schirmacher, Christine Sempoux, Swan N. Thung, Michael Torbenson, Aileen Wee, Matthew M. Yeh, Shiou-Hwei Yeh, Brigitte Le Bail, Jessica Zucman-Rossi, Paulette Bioulac-Sage

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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

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Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics by Anuradha Ganesan, N. Gautham Kumar, Prabhu Manickam Natarajan, Jeevitha Gauthaman

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StrideHD: A Binary Hyperdimensional Computing System Utilizing Window Striding for Image Classification by Dehua Liang, Jun Shiomi, Noriyuki Miura, Hiromitsu Awano

“…Our evaluation also shows that compared with two popular HD algorithms, the singlepass StrideHD model achieves a 27.6<inline-formula> <tex-math notation="LaTeX">$\times$ </tex-math></inline-formula> and 8.2<inline-formula> <tex-math notation="LaTeX">$\times$ </tex-math></inline-formula> reduction in inference memory cost without hurting the classification accuracy, while the iterative mode further provides 8.7<inline-formula> <tex-math notation="LaTeX">$\times$ </tex-math></inline-formula> memory efficiency. …”
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A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

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Myocardial Infarction-Associated Shock: A Comprehensive Analysis of Phenotypes, SCAI Classification, and Outcome Assessment by Stanislav Dil, Maria Kercheva, Oleg Panteleev, Sergey Demianov, Aleksandr Kanev, Nina Belich, Boris Kornienko, Vyacheslav Ryabov

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Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

“…Across all injuries, the mean outcome values and ranges were sensitivity: 61.6% (35.5%-96.0%), specificity: 91.6% (85.8%-100%), PPV: 74.9% (58.6%-96.5%), NPV: 80.2% (44.6%-94.4%), Cohen's kappa: 0.672 (0.480-0.928), Krippendorff's alpha: 0.453, and Fleiss' kappa: 0.630. …”
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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

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