MMTSCNet: Multimodal Tree Species Classification Network for Classification of Multi-Source, Single-Tree LiDAR Point Clouds by Jan Richard Vahrenhold, Melanie Brandmeier, Markus Sebastian Müller

“…The use of 3D Deep Learning (DL) models has improved tree species classification by capturing structural and geometric data directly from point clouds. …”
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Solar flare rates and probabilities based on the McIntosh classification: Impacts of GOES/XRS rescaling and revisited sunspot classifications by Janssens Jan, Delouille Véronique, Clette Frédéric, Andries Jesse

“…Also, for the same period, McIntosh classifications have been redone by visually evaluating 4720 Kanzelhöhe solar drawings (about 1 drawing every 3 days) and determining the McIntosh type of 22232 sunspot regions. …”
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CNN-Based Classification of Optically Critical Cutting Tools with Complex Geometry: New Insights for CNN-Based Classification Tasks by Mühenad Bilal, Ranadheer Podishetti, Tangirala Sri Girish, Daniel Grossmann, Markus Bregulla

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Profiling the Impact of Tinnitus in Indian Population Using International Classification of Functioning Classification System: A Cross-Sectional Study by Prashanth Prabhu, Ardra Kannancheeri, Sajana Aryal, Kavassery Venkateswaran Kavassery Nisha

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On classification approaches, terminology and modern principles of treatment of pathologies associated with high myopia. Part 2. Terminology and approaches to classification by V. V. Neroev, O. V. Zaytseva, E. P. Tarutta, E. V. Bobykin, M. A. Kovalevskaya, R. R. Fayzrakhmanov, P. A. Nechiporenko

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Improving generalization in classification of novel bacterial strains: a multi-headed ResNet approach for microscopic image classification by V.O. Yachnaya, M.A. Mikhalkova, R.O. Malashin, V.R. Lutsiv, L.А. Kraeva, G.N. Khamdulayeva, V.E. Nazarov, V.P. Chelibanov

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Diagnostic value of three evaluation systems for medium-to-high risk carcinogenesis in chronic atrophic gastritis by CAO Yanli, PAN Hongnian, LIU Xiaoyan, WANG Xiuzhong

“…<b>Methods</b> A total of 153 elderly patients who visited the outpatient department of Lu'an Hospital Affiliated to Anhui Medical University from December 2022 to April 2024 due to stomach discomfort were retrospectively selected. Three screening protocols were used to stratify the risk of CAG carcinogenesis: Kimura-Takemoto classification (grading the gastric mucosal atrophy and obtaining pathological specimens via endoscopy), new gastric cancer screening scoring system ［general condition, pepsinogen (PG) Ⅰ, PGⅡ, gastrin-17 andHelicobacter pylori antibody comprehensive score and grading］ and OLGA system (mucosal atrophy pathological staging). …”
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Comprehensive Analysis of Soil Physicochemical Properties and Optimization Strategies for “<i>Yantai Fuji 3</i>” Apple Orchards by Zhantian Zhang, Zhihan Zhang, Zhaobo Fan, Weifeng Leng, Tianjing Yang, Jie Yao, Haining Chen, Baoyou Liu

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Case report: an unusual long-term evolution of a diffuse midline glioma, H3K27 altered by Michael Griessmair, Michael Griessmair, Claire Delbridge, Claus Zimmer, Eva Mayr, Arthur Wagner, Julian Canisius, Marie-Christin Metz, Benedikt Wiestler, Benedikt Wiestler

Subjects: “…H3K27M…”
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Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks by Tushar Nayak, Nitila Gokulkrishnan, Krishnaraj Chadaga, Niranjana Sampathila, Hilda Mayrose, Swathi K. S.

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Classification of Unit Groups of Five Radical Zero Completely Primary Finite Rings Whose First and Second Galois Ring Module Generators Are of the Order pk,k=2,3,4 by Hezron Saka Were, Maurice Owino Oduor

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A real-time system for monitoring and classification of human falls on stairs using 2.4 GHz XBee3 micro modules with a tri-axial accelerometer and KNN algorithms by Apidet Booranawong, Sittiporn Sukveeraphan, Liangrui Pan, Nattha Jindapetch, Pornchai Phukpattaranont, Hiroshi Saito

“…In this paper, a monitoring and classification system for human activities on stairs is presented. …”
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Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI’s GPT-3.5 Turbo Model: Classification Model Validation and Case Study by Tyler Babinski, Sara Karley, Marita Cooper, Salma Shaik, Y Ken Wang

“…ObjectiveThis study aims to analyze community posts from 3 of the largest IBD support groups on Reddit between March 1, 2020, and December 31, 2022, using a pretrained transformer model, and to validate the classification system’s results via comparison to human scoring. …”
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Performance of Sentiment Classification on Tweets of Clothing Brands by Muhammad Shafiq Jalani, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh

“…The models went through training and testing process on a curated tweet dataset comprising 24000 records with three clothing brands (Asos, Uniqlo, Topshop). The classification process was carried out by SVM, NB, RF, LR and MLP with a ratio of 50-50 and 70-30 train-test splits. …”
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Conformal deep forest for uncertainty-aware classification by Jing Zhang, Yunfei Qiu, Libo Dong

“…Leveraging these CDUM-based modules, CDForest achieves three core capabilities: (1) layer-wise uncertainty filtering to reduce high-uncertainty features, (2) class-wise weighted averaging to refine ensemble predictions, and (3) class-wise aggregation for conformal predictors to highlight class-specific differences and facilitate more precise uncertainty quantification. …”
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Congenital muscular dystrophies: classification and diagnostic strategy by François Rivier, Pierre Meyer, Ulrike Walther-Louvie, Moïse Mercier, Bernard Echenne, Susana Quijano-Roy

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Triple stratified systems equilibrium diagrams classification by L. A. Serafimov, A. V. Frolkova, V. V. Illarionov

“…Triple stratified systems equilibrium diagrams classification with account taken of different quantity of areas for both two- and three-phase stratification has been offered.…”
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Segmentation protocols in the digital twins of monumental heritage: a methodological development by Valeria Cera, Massimiliano Campi

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Research on key technology of vulnerability threat classification by Qi-xu LIU, Chong-bin ZHANG, Yu-qing ZHANG, Bao-feng ZHANG

“…In order to solve the vulnerability assessment problem of vulnerability management,three attribute groups were selected to qualitatively evaluate vulnerability threat.After the selection of vulnerability attributes,analytic hierarchy process method was used to establish vulnerability classification model,which can divide vulnerabilities into four risk levels:critical,high,moderate and low.The method provides a reference for national standard,vulnerability management,vulnerability handling,risk assessment,risk mitigation,etc.…”
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Online Educational Platforms: Classification and Criteria for Assessing by A. Kh. Shelepaeva

“…The paper presents the criteria for evaluating platform solutions and makes their grouping according to three bases: on technical, functional, and didactic possibilities. …”
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