Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

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Soil classification in a seismically active environment based on join analysis of seismic parameters by Y. Asnawi, A.V.H. Simanjuntak, U. Muksin, M. Okubo, S.I. Putri, S. Rizal, M. Syukri

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Florida’s Use-Value Assessment Law: Questions and Answers for Miami-Dade County Agricultural Classification by Edward A. Evans, Mauricio Mosquera, Rodney L. Clouser, Jonathan Crane

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Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification by Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh

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The Classification, Automorphism Group, and Derivation Algebra of the Loop Algebra Related to the Nappi–Witten Lie Algebra by Xue Chen

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Weather Monitoring and Classification Tools Using Fuzzy Logic Method Based on Internet of Things for Agriculture by Muhammad Alfazri Avindra, Ahmad Taqwa, Suroso

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Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach by Siti Aminah, Gianinna Ardaneswari, Mufarrido Husnah, Ghani Deori, Handi Bagus Prasetyo

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Forensic classification of military criminal offences and the place of abuse of power or authority by a military official by I. Kostiuk

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Commercial classification of conventional polypropylene and polyester meshes for groin hernia repair: A descriptive study by Can Deniz Deveci, Stina Öberg, Jacob Rosenberg

“…OBJECTIVE: Despite established definitions of weight classification available from the European Hernia Society and others, a discrepancy exists in the classification used by mesh companies. …”
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An efficient Cucconi based feature extraction with random decision forest classification for improved sentiment analysis by Anuradha K., Mallik Banitamani, Krishna Vamsi M.

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High-resolution manometry in clinical practice: analysis of esophageal motor function according to Chicago classification by O. A. Storonova, A. S. Trukhmanov, V. T. Ivashkin

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Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC by Gustavo A. Mesías-Ruiz, José M. Peña, Ana I. de Castro, José Dorado

“…Identifying weed species at early-growth stages is critical for precision agriculture. Accurate classification at the species-level enables targeted control measures, significantly reducing pesticide use. …”
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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

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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

“…In comparison to other single channels, the C3 channel has an accuracy value of 80.75% ± 0.82%, with a kappa value of 0.76. Classification accuracy for four left-side electrodes is higher (82.71% ± 0.88%) than for four right-side electrodes (81.14% ± 0.77%), while kappa values are respectively 0.78 and 0.76. …”
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In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device by Mengyang Zhang, Hongbo Fu, Huadong Wang, Feifan Shi, Saifullah Jamali, Zongling Ding, Bian Wu, Zhirong Zhang

“…The final average classification accuracies achieved were 95.71%, 93.57%, 92.14%, and 98.57%, respectively. …”
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A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria by Peter Lasch, Wolfgang Beyer, Alejandra Bosch, Rainer Borriss, Michal Drevinek, Susann Dupke, Monika Ehling-Schulz, Xuewen Gao, Roland Grunow, Daniela Jacob, Silke R. Klee, Armand Paauw, Jörg Rau, Andy Schneider, Holger C. Scholz, Maren Stämmler, Le Thi Thanh Tam, Herbert Tomaso, Guido Werner, Joerg Doellinger

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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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