Chemical Sensor Technologies for Sustainable Development: Recent Advances, Classification, and Environmental Monitoring by Abel Inobeme, Arunadevi Natarajan, Safalmani Pradhan, Charles Oluwaseun Adetunji, Alexander Ikechukwu Ajai, Jonathan Inobeme, Mathew John Tsado, John Olusanya Jacob, Shyam S. Pandey, Kshitij RB Singh, Jay Singh

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Position-Aware Graph Neural Network for Few-Shot SAR Target Classification by Jia Zheng, Ming Li, Peng Zhang, Yan Wu, Hongmeng Chen

“…Synthetic aperture radar (SAR) target classification methods based on convolutional neural networks (CNNs) are susceptible to overfitting due to limited samples. …”
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Bacterial urocystitis in dogs and cats (classification, pathogenesis, causative agents, treatment, and prevention) by Yu. V. Martyniv

“…The frequency of the disease occurrence in cats and dogs is given according to species, age, and sex. Issues of approach and treatment of bacterial urocystitis and related complications are highlighted. …”
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Development of statistical classifications to study the content and structure of the primary real estate market by D. V. Dianov, P. A. Smelov

“…Statistical study of the primary real estate market is always associated with the problem that the object is in a constant, and very intense change, both in quantitative terms and in its internal content. Therefore, the issues of constant adaptation of statistical methodology in relation to the primary real estate market are relevant continuously. …”
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Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model by Furqan Rustam, Muhammad Abubakar Siddique, Hafeez Ur Rehman Siddiqui, Saleem Ullah, Arif Mehmood, Imran Ashraf, Gyu Sang Choi

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Scalable AI-driven air quality forecasting and classification for public health applications by Mohammad Wasil Jalali, Bahir Saidi, Habibullah Farahmand, Mohammad Aref Rezvan Panah, Eda Nur Saruhan

“…Abstract Background Air pollution remains one of the most pressing public health and environmental issues, particularly in developing countries like Afghanistan, where reliable air quality monitoring infrastructure is lacking. …”
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Retracted: Visualisation‐based binary classification of android malware using vgg16 by Aryan Marwaha, Rami Qays Malik, Shehab Mohamed Beram, Ali Rizwan, Kakarla Hari Kishore, Deepak Thakur, Tanya Gera, Mohammad Shabaz

“…This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. …”
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AdjcorT-RBFNN for Air Quality Classification: Mitigating Multicollinearity with Real and Simulated Data by Siti Khadijah Arafin, Nor Azura Md Ghani, Marshima Mohd Rosli, Nurain Ibrahim

“…Air pollution levels have remained a significant issue worldwide despite advancements in technology, primarily due to rapid industrialization and urbanization. …”
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Efficient feature selection for histopathological image classification with improved multi-objective WOA by Ravi Sharma, Kapil Sharma, Manju Bala

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Is This Reliable Enough? Examining Classification Consistency and Accuracy in a Criterion-Referenced Test by Susanne Alger

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Classification of LPG Gas Usage Satisfaction Level Using The Naïve Bayes Algorithm by Angelia Melani Adrian, Bella Alisia Patras, Junaidy B. Sanger

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STMSF: Swin Transformer with Multi-Scale Fusion for Remote Sensing Scene Classification by Yingtao Duan, Chao Song, Yifan Zhang, Puyu Cheng, Shaohui Mei

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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

“…Traditional classification algorithms usually assume that all samples in a dataset contribute equally to the training of a machine learning model, which is not always the case. …”
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Enhancing Point Cloud Classification and Segmentation With Attention-Enhanced SO-PointNet++ by Gang Cheng, Chengwei Gu

“…With the rapid advancement of deep learning in computer vision, accurately performing classification and segmentation tasks on 3D point clouds has become increasingly important. …”
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TCHAO: parallelism with transaction classification and grouping by historical access objects to scale blockchain by Bin Yu, He Zhao, Tong Zhou, Lei Chen, Yuhui Fan

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Self-supervised learning reduces label noise in sharp wave ripple classification by Saber Graf, Pierre Meyrand, Cyril Herry, Tiaza Bem, Feng-Sheng Tsai

“…Abstract In the field of electrophysiological signal analysis, the classification of time-series datasets is essential. However, these datasets are often compromised by the prevalent issue of incorrect attribution of labels, known as label noise, which may arise due to insufficient information, inappropriate assumptions, specialists’ mistakes, and subjectivity, among others. …”
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Hyper-LKCNet: Exploring the Utilization of Large Kernel Convolution for Hyperspectral Image Classification by Rong Liu, Zhilin Li, Jiaqi Yang, Jian Sun, Quanwei Liu

“…Large kernel convolution provides the inspiration for the above issue. To explore the potential of large kernel convolution, we propose a hyperspectral image (HSI) classification algorithm in this article that utilizes a large kernel convolution module combined with multiscale coattention and an adaptive geometric feature (AGF) classifier, named Hyper-LKCNet. …”
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Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification by Ping Li, Xiang Zhu

“…Few-shot image classification aims to classify unlabeled samples when only a small number of labeled samples are available for each class. …”
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Dynamic Voting-Based Ensemble Deep Learning for Closely Resembling Crop Classification by Engin Eşme, Muhammed Arif Şen, Halil Çimen

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A Comparative Study of Machine Learning Based Classifications on Lung Cancer Detection by A. Rakesh, Radhamani Ellapparaj

“…Despite advances in machine learning, achieving higher accuracy in classification models for lung cancer remains a persistent challenge. …”
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