Prognostic implications of immune classification based on PD-L1 expression and tumor-infiltrating lymphocytes in endocervical adenocarcinoma by Li-Jun Wei, Zi-Yun Wu, Li-Yan Wu, Ying-Wen Wu, Hao-Yu Liang, Rong-Zhen Luo, Li-Li Liu

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Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

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Analysis and trends of caesarean sections using Robson’s classification over 7-year period at a rural teaching hospital by Mahathi Nadella, Shyam S. Maila, Indira Nagelli, Kalpana Basany

“…Background: A ten-group classification system of caesarean section was proposed by Michael Robson in 2001. …”
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Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification by BAI Jingjing, ZHU Xiaorong, CUI Tao

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A Detailed Study on Algorithms for Predictive Maintenance in Smart Manufacturing: Chip Form Classification Using Edge Machine Learning by Alessia Lazzaro, Doriana Marilena D'Addona, Massimo Merenda

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Soil classification and land suitability evaluation for tomato cultivation using analytic hierarchy process under different land uses by Fatihu Kabir Sadiq, Mays Taha Yaqub, Lemuel Musa Maniyunda, AbdulKarem A.M Alalwany, Fahad Abubakar, Ojone Anyebe

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Multi-scale feature fusion of deep convolutional neural networks on cancerous tumor detection and classification using biomedical images by U. M. Prakash, S. Iniyan, Ashit Kumar Dutta, Shtwai Alsubai, Janjhyam Venkata Naga Ramesh, Sachi Nandan Mohanty, Khasim Vali Dudekula

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Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

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EMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module by Fufang Li, Weixiang Zhang, Yi Shang

“…Experimental results show that our model performs better than existing models in one-shot and five-shot tasks on mini-ImageNet, CUB-200, and CIFAR-FS datasets, which proves the proposed model to be an efficient end-to-end solution for few-shot image classification. In the five-way one-shot and five-way five-shot experiments on the CUB-200-2011 dataset, EMNet achieved classification accuracies that were 1.27 and 0.54 percentage points higher than those of RENet, respectively. …”
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Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC by Muhammad Ricky Perdana Putra, Ema Utami

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Classification of Coconut Trees Within Plantations from UAV Images Using Deep Learning with Faster R-CNN and Mask R-CNN by Morakot Worachairungreung, Nayot Kulpanich, Pornperm Sae-ngow, Kunyaphat Thanakunwutthirot, Kawinphop Anurak, Phonpat Hemwan

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Fast Local Laplacian-Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks by Nhat-Duc Hoang, Quoc-Lam Nguyen

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Statistical classification methods for estimating sex based on five skull traits: A nonmetric assessment using 3D CT models by Yun taek Shim, Deog-Im Kim, Nahyun Aum, Seung gyu Choi, Young Seok Lee, Hyung Nam Koo, Yi-Suk Kim

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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…This study presents a robust and efficient classification system that addresses the limitations of existing models. …”
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Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review. by Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds

“…While WBC classification was originally rooted in conventional ML, there has been a notable shift toward the use of DL, and particularly convolutional neural networks (CNN), with 54.4% of identified studies (n = 74) including the use of CNNs, and particularly in concurrence with larger datasets and bespoke features e.g., parallel data pre-processing, feature selection, and extraction. …”
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Taxation and Budget Reform Commission (TBRC) Constitutional Amendment 4: Property Tax Exemption of Perpetually Conserved Land; Classification and Assessment of Land Used for Conser... by Rodney L. Clouser

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A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

“…The best classification result was provided by the ExtraTreesClassifier algorithm, with an accuracy rate of 96.1%, while other algorithms have rates between 66.6% and 94.2%. …”
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Correction to 'Data augmentation based semi-supervised method to improve COVID-19 CT classification' [Mathematical Biosciences and Engineering 20(4) (2023) 6838–6852] by Xiangtao Chen, Yuting Bai, Peng Wang, Jiawei Luo

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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

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Rehabilitation success and related costs following stroke in a regional hospital: a retrospective analysis based on the Australian National Subacute and Non-Acute Patient (AN-SNAP)... by Fan He, George Mnatzaganian, Michael Njovu, David Rutherford, Tara Alexander, Irene Blackberry

“…Results Of 582 included patients, 315 (54.1%) achieved RFG ≥ 0.5 and 258 (52.2%) achieved FIM efficiency ≥ 1. …”
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