GIS and remote sensing based analysis for monitoring urban growth dynamics in Western Himalayan city of Dharamshala, India by Nishant Mehra, Janaki Ballav Swain

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Comparative Evaluation of AI-Based Multi-Spectral Imaging and PCR-Based Assays for Early Detection of <i>Botrytis cinerea</i> Infection on Pepper Plants by Dimitrios Kapetas, Eleni Kalogeropoulou, Panagiotis Christakakis, Christos Klaridopoulos, Eleftheria Maria Pechlivani

“…Pepper production is a critical component of the global agricultural economy, with exports reaching a remarkable $6.9B in 2023. This underscores the crop’s importance as a major economic driver of export revenue for producing nations. …”
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Hypertension Detection Using Passive-Aggressive Algorithm With The PA-I And PA-II Methods by M. Hafidz Ariansyah, Sri Winarno

“…The results also show that the model is not overfitting, and the new data can be predicted well in line with the training data because, on the results of training accuracy, PA-I shows an accuracy of 81.6 - 84.56% while PA-II shows an accuracy of 71.6 - 82.71%.…”
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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

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The genus Cortinarius should not (yet) be split by Brigida Gallone, Thomas W. Kuyper, Jorinde Nuytinck

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Improved CLIP-ILP Model for Detecting Illegal Passenger Transport in Freight Trucks by Xuan Wu, Wenlin Pan

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Author Correction: Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

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Low Fifth-Minute Apgar Score Analysed According to Robson Ten Group Classification at a Tertiary Hospital in Nigeria by Olakunle Makinde, Benjamin O. Awotundun, Nkencho Osegi

“…CONCLUSION: Meaningful deduction is possible with use of the Robson’s classification for audit of low APGAR Score. By this study, parturients in Robson groups 3, 5.2a, 6a, 7a, 9a, 10a, 10b, and 10c are identified for focused interventions towards improving APGAR score outcomes at FMCY. …”
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Development of the genetic classification of Aegilops columnaris Zhuk. chromosomes based on the analysis of introgression lines Triticum aestivum×Ae. columnaris by A. A. Shishkina, A. Yu. Dragovich, A. S. Rouban, S. N. Sibikeev, A. E. Druzhin, E. D. Badaeva

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Genetic classification and geochemical evaluation of Upper Cretaceous carbonate reservoir oils in Dezful Embayment and Abadan Plain, SW Iran by Hossein Saadati, Ali Kadkhodaie, Mehrab Rashidi, Hossein Bahrami, Hashem Sarafdokht, Dmitriy A. Martyushev, Amir Abbass Jahangard

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Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration by Gábor G. Deák, Klaudia Birner, Bianca S. Gerendas, Georgios Mylonas, Günther Weigert, Martin Michl, Irene Steiner, Ursula M. Schmidt-Erfurth

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MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification by Xiangzuo Huo, Shengwei Tian, Long Yu, Wendong Zhang, Aolun Li, Qimeng Yang, Jinmiao Song

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Classification of peripheral vitreoretinal interface lesions using spectral-domain optical coherence tomography with guidance of ultrawide field imaging by Weiwei Zheng, Ying Huang, Ying Huang, Shanshan Qian, Bing Lin, Bing Lin, Shenghai Huang, Shenghai Huang

“…In the OCT classification of VRI lesions, 18 (17.1%) cases were category A, 28 (26.7%) cases were category B1, 30 (28.6%) cases were category B2, and 29 (27.6%) cases were category C. …”
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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

“…Extensive experiments on the UCM, AID, and NWPU datasets demonstrate that AKG-DBSS achieves class average accuracy and overall accuracy of up to 98&#x0025;, and 59.56&#x0025;, respectively, for the classification of unseen class scenes, with standard deviations below 6.91&#x0025;, significantly outperforming four other advanced comparative methods. …”
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Prevalence of angle’s classification of malocclusion among patients Attending Orthodontic Department in College of Dentistry‐ retrospective cross‐sectional study by Blend Hussein Mohammad, Mahmood Fawzi Abdul‐Jabbar, Mansour Hadi Mohammed

“…Methods: A total of 110 case sheets were collected from orthodontic clinic, patients that have asymmetric angle`s molar classification, any local or systemic problems, or undergone any orthodontic treatment before, were excluded, so, a sample size of 87 patients were taken (41 male and 46 female), with ages ranging from 6 to 25, after coding case sheets, data were inputting in an excel sheet of Microsoft Office and analyzed by chi‐square test. …”
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CIMA: A Novel Classification-Integrated Moving Average Model for Smart Lighting Intelligent Control Based on Human Presence by Aji Gautama Putrada, Maman Abdurohman, Doan Perdana, Hilal Hudan Nuha

“…We propose a novel classification-integrated moving average (CIMA) model method to solve the problem. …”
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Reliability of a Novel CBCT-Based 3D Classification System for Maxillary Canine Impactions in Orthodontics: The KPG Index by Domenico Dalessandri, Marco Migliorati, Rachele Rubiano, Luca Visconti, Luca Contardo, Roberto Di Lenarda, Conchita Martin

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TERTp Mutation and its Prognostic Value in Glioma Patients Under the 2021 WHO Classification: A Real‐World Study by Hao Xing, Delin Liu, Junlin Li, Yulu Ge, Xiaopeng Guo, Wenlin Chen, Dachun Zhao, Yixin Shi, Yilin Li, Yaning Wang, Yuekun Wang, Yu Xia, Jiaming Wu, Tingyu Liang, Hai Wang, Qianshu Liu, Shanmu Jin, Tian Qu, Siying Guo, Huanzhang Li, Tianrui Yang, Kun Zhang, Yu Wang, Wenbin Ma

“…Aims Given the changes in the entities included in each subtype under the new classification, this research investigated the distribution, prognostic value, and correlations with other molecular alterations of TERTp mutation in different subgroups under this latest classification. …”
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Co-occurring factors associated with suicidal ideation among individuals with parole involvement: A classification and regression tree analysis by Leah MCCOY, Javier F. BOYAS, Sung Seek MOON, Michael A. ROBINSON, Onick LEWIS, Amy E. COX

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