Image dataset for classification of diseases in guava fruits and leavesMendeley Data by Montasir Rahman Shihab, Nafiu Islam Saim, Mayen Uddin Mojumdar, Dewan Mamun Raza, Shah Md Tanvir Siddiquee, Sheak Rashed Haider Noori, Narayan Ranjan Chakraborty

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The effect of non-linear signal in classification problems using gene expression. by Benjamin J Heil, Jake Crawford, Casey S Greene

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Chronic constipation in Turkish children: clinical findings and applicability of classification criteria by Sema Aydoğdu, Murat Cakir, Hasan Ali Yüksekkaya, Ciğdem Arikan, Gökhan Tümgör, Maşallah Baran, Raşit Vural Yağci

“…We found that 7.7% of the cases had an organic pathology, and short segment Hirschsprung disease was the leading cause. Other children (92.3%) were classified as functional constipation, with a mean age of 6.4 +/- 4 years and with slight male dominance. …”
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Bidirectional Mamba with Dual-Branch Feature Extraction for Hyperspectral Image Classification by Ming Sun, Jie Zhang, Xiaoou He, Yihe Zhong

“…The HSI classification methods based on convolutional neural networks (CNNs) have greatly improved the classification performance. …”
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Fuel-Efficient Road Classification Methodology for Sustainable Open Pit Mining by Boyu Luan, Wei Zhou, Zhogchen Ao, Zhihui Han, Yufeng Xiao

“…The roughness of haul roads significantly impacts fuel consumption in open-pit coal mine trucks, yet there is currently a lack of quantitative road classification methods in this regard. This study proposes a fuel-efficient road classification methodology for open-pit coal mines. …”
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The design of copper flotation process based on multi-label classification and regression by Haipei Dong, Fuli Wang, Dakuo He, Yan Liu

“…The copper flotation backbone process design was transformed into multi-label classification, and it was found that applying label correlation and domain knowledge to multi-label classification could significantly improve the precision of backbone process design. …”
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A Novel Nonparallel Hyperplane Based Extreme Learning Machine for Classification by Arvind Kumar, Sanyam Shukla, Manasi Gyanchandani

“…Experiments on 20 KEEL binary benchmark datasets and six MedMNIST medical image datasets using both linear and gaussian kernels show that NHELM achieves up to a 3.4% improvement in classification performance over traditional ELM, and a 2.2% improvement over existing nonparallel ELM variants, based on the averages of metrics such as accuracy, G-mean, and area under the curve (AUC). …”
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Diagnosis of citrus leaf canker disease based on naive Bayesian classification by SHU Meiyan, WEI Jiaxi, ZHOU Yeying, DONG Qizhou, CHEN Haochong, HUANG Zhigang, MA Yuntao

“…The results showed that the method based on naive Bayesian classification was effective in the segmentation of citrus leaf canker disease, and the incorrect segmentation rate was only 3.58%, which was far better than the threshold methods and support vector machine. …”
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A Multimodal Deep Learning Model for the Classification of Breast Cancer Subtypes by Chaima Ben Rabah, Aamenah Sattar, Ahmed Ibrahim, Ahmed Serag

“…<b>Results</b>: The proposed multimodal approach significantly outperformed a unimodal model based solely on mammography images, achieving an AUC of 88.87% for multiclass classification of these five categories, compared to 61.3% AUC for the unimodal model. …”
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Weather Classification in West Java using Ensemble Learning on Meteorological Data by Cynthia Nur Azzahra, Yulison Herry Chrisnanto, Gunawan Abdillah

“…Weather classification in West Java presents several challenges, particularly related to class imbalance in the dataset and the complexity of meteorological variables. …”
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Estimation of evaporation in Andalusian reservoirs: Proposal of an index for the assessment and classification of dams by Santiago García-López, Marcia Salazar-Rojas, Mercedes Vélez-Nicolás, Jorge. M.G.P. Isidoro, Verónica Ruiz-Ortiz

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PPSC: High-Precision and Scalable Encrypted Privacy-Preserving Speech Classification by WANG Leilei, SONG Kao, ZHANG Yuanyuan, BI Renwan, XIONG Jinbo

“…To address the challenges of low computational efficiency and classification accuracy in existing fully homomorphic encryption technology for speech classification tasks, a high-precision and scalable encrypted privacy-preserving speech classification (PPSC) scheme is proposed. …”
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Multifunctional cells based neural architecture search for plant images classification by Lin Huang, Xi Qin, Tiejun Yang

“…Abstract To develop a high-performance convolutional neural network (CNN) model for plant image classification automatically, we propose a neural architecture search (NAS) method tailored to multifunctional cells (MFC), termed MFC-NAS. …”
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Classification and Recognition of Fluvial Geomorphic Units Based on Process and Form Relationship by YU Zicheng, DENG Rui, ZHANG Jing, ZHAO Jinyong, DING Yang, LI Xuan

“…Clarifying the types of fluvial geomorphic units and their spatial distribution can better recognize and understand rivers.In the face of problems such as the imperfection and difficult implementation of the existing classification and recognition methods of geomorphic units in China,the mature classification systems of Fryirs and Brierley geomorphic units in other countries were summarized,and the process and form relationship of different geomorphic unit types was sorted out.The Daning River,a first-level tributary of the Yangtze River,was taken as a practical case.The classification and recognition process of fluvial geomorphic units based on the process and form relationship was formed,and the spatial distribution of geomorphic units was defined by combining with the field survey data of air,sky,and ground.The classification system of Fryirs and Brierley geomorphic units was divided into four categories:alluvial and erosional bedrock and boulder units,mid-channel sedimentary units,riparian sedimentary units,and alluvial and erosional fine-grained units,including 42 types of terrace falls,deep pools,and point beaches.The types of geomorphic units included in the confluence section of the Lianghekou area of the Daning River and Houxi River were tandem plunge,rapid beach,slippery water,deep pool,shallow beach,slow flow area,side beach,and heart beach,accounting for 16.43%,21.51%,7.21%,20.45%,16.90%,13.59%,and 3.91% of the studied river section,respectively.Quantitative analysis of the spatial distribution of geomorphic units can provide theoretical support for the restoration of damaged habitats and habitat assessment in the river section.…”
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Subjectivity associated to the use of rock mass classification in stability analysis of caverns by Sailesh Adhikari, Krishna Kanta Panthi, Chhatra Bahadur Basnet

“…Abstract Q and RMR systems of rock mass classifications are widely used around the world to characterize rock mass quality and to estimate preliminary rock support for underground structures like tunnels and caverns. …”
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Diabetic nephropathy: modern principles of classification, diagnosis and features of antihyperglycemic therapy by A. G. Borisov, S. V. Chernavskiy, M. A. Smirnova, A. A. Stremoukhov

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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…In this work, we propose an e-diagnostic model for diabetes classification via a machine learning algorithm that can be executed on the Internet of Medical Things (IoMT). …”
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Planococcus citri in coffee trees by supervised classification using multispectral images by Kamila Fernanda Rossati, Vanessa Andaló, George Deroco Martins, Gleice Aparecida de Assis, Vinícius Silva Werneck Orlando, Letícia Pasqualin Messias Arriero, Lucas Silva de Faria, Renan Zampiroli

“…The images were obtained using a drone attached to a Mapir Survey 3W camera at a height of 100 m. The classifications were made using Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Random Forest algorithms. …”
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Plant disease classification in the wild using vision transformers and mixture of experts by Zafar Salman, Abdullah Muhammad, Dongil Han

“…Plant disease classification using deep learning techniques has shown promising results, especially when models are trained on high-quality images. …”
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Classification of Moral Decision Making in Autonomous Driving: Efficacy of Boosting Procedures by Amandeep Singh, Yovela Murzello, Sushil Pokhrel, Siby Samuel

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