Proposing a New Classification for Managing Prostaglandin-Induced Enophthalmos in Glaucoma Patients by Ferraro V, Gaeta A, Barone G, Confalonieri F, Tredici C, Vinciguerra P, Di Maria A

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Sex-Specific Ensemble Models for Type 2 Diabetes Classification in the Mexican Population by Mendoza-Mendoza MM, Acosta-Jiménez S, Galván-Tejada CE, Maeda-Gutiérrez V, Celaya-Padilla JM, Galván-Tejada JI, Cruz M

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Binary classification with Fuzzy-Bayesian logistic regression using Gaussian fuzzy numbers by Georgios Charizanos, Haydar Demirhan, Duygu İçen

“…Binary classification is a critical task in pattern recognition applications in artificial intelligence and machine learning. …”
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ADeepWeeD: An adaptive deep learning framework for weed species classification by Md Geaur Rahman, Md Anisur Rahman, Mohammad Zavid Parvez, Md Anwarul Kaium Patwary, Tofael Ahamed, David A. Fleming-Muñoz, Saad Aloteibi, Mohammad Ali Moni, PhD

“…To address the issues, this paper introduces a novel DL-based framework called ADeepWeeD for weed classification that facilitates adaptive (i.e. incremental) learning so that it can handle new weed species by keeping track of historical information. …”
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Two-Stage Fault Classification Algorithm for Real Fault Data in Transmission Lines by Se-Heon Lim, Taegeun Kim, Kyeong-Yeong Lee, Kyung-Min Song, Sung-Guk Yoon

“…Fault classification in power transmission lines is important in distance relaying for identifying the accurate phases implicated in the fault occurrence. …”
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Training RBF NN Using Sine-Cosine Algorithm for Sonar Target Classification by Yixuan WANG, LiPing YUAN, Mohammad KHISHE, Alaveh MORIDI, Fallah MOHAMMADZADE

“…Radial basis function neural networks (RBF NNs) are one of the most useful tools in the classification of the sonar targets. Despite many abilities of RBF NNs, low accuracy in classification, entrapment in local minima, and slow convergence rate are disadvantages of these networks. …”
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GLNet: global-local feature network for wheat leaf disease image classification by Shangze Li, Shen Liu, Mingyu Ji, Yuhao Cao, Bai Yun, Bai Yun

“…Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local feature network, i.e. …”
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Spectral-Spatial Ensemble Low-Rank Domain Adaptation for Hyperspectral Image Classification by Xue Zhang, Guoguo Yang, Hongjun Su, Yiping Chen, Zhaohui Xue, Qian Du

“…Domain adaptation has been proven effective for addressing cross-domain hyperspectral image (HSI) classification, especially when the target domain has no labeled samples. …”
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Land Take: from Fabric Classification to identifying Areas for Sustainable Urban Regeneration by Santini Luisa, Ducci Elisa

“…In addition, it prescribes that the delimitation of urbanized territory must start from the classification of urban fabric in relation to codified morphotypes of contemporary urbanizations. …”
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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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DiffFormer: A Differential Spatial-Spectral Transformer for Hyperspectral Image Classification by Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo

“…To mitigate these issues, this work proposes the differential spatial-spectral transformer (<italic>DiffFormer</italic>), a novel framework designed to enhance feature discrimination and improve classification accuracy. …”
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CNN-Based Image Segmentation Approach in Brain Tumor Classification: A Review by Nurul Huda, Ku Ruhana Ku-Mahamud

“…CNN architectures like U-Net, V-Net, and ResNet have shown significant promise in brain tumor classification, offering high precision in detecting tumor boundaries and classifying tumor types. …”
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Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification by Md Takbir Alam, Md Ashibul Islam Khan, Nahian Nakiba Dola, Tahia Tazin, Mohammad Monirujjaman Khan, Amani Abdulrahman Albraikan, Faris A. Almalki

“…Machine learning (ML) is currently extensively used in fields such as biology and medicine to address a variety of issues, due to its fast advancement. This research covers the findings and analyses of multiple machine learning models for fetal health classification. …”
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Highly Accurate Brain Tumor Segmentation and Classification Using Multiple Feature Sets by Megha Sunil Borse, Murali Prasad R, Tummala Ranga Babu

“…If a tumor is discovered later on, the medical issues are significant. Therefore, early diagnosis is essential. …”
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EFM-ResNet: A Feature Enhanced Network for Tobacco Strips Classification by Bo Zhang, Shanshan Zheng, Leyuan Han, Yucan Qiu

“…In this paper, we propose a tobacco strip image classification model based on multi-scale fusion attention mechanism and feature enhancement improved ResNet, named EFM-ResNet, to address the issues of detail information loss during feature extraction and the difficulty in capturing long-range dependencies. …”
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Patterns with Equal Values in Permutation Entropy: Do They Really Matter for Biosignal Classification? by David Cuesta–Frau, Manuel Varela–Entrecanales, Antonio Molina–Picó, Borja Vargas

“…A number of variations or customizations to the original PE method to address these issues have been proposed in the scientific literature recently. …”
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Performance evaluation of enhanced deep learning classifiers for person identification and gender classification by Vasu Krishna Suravarapu, Hemprasad Yashwant Patil

“…Although the biometric identification systems have advanced, the existing approaches still struggle with accuracy, overfitting issues and computational efficiency, especially when utilizing periocular images for person identification and gender classification. …”
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FishAI: Automated hierarchical marine fish image classification with vision transformer by Chenghan Yang, Peng Zhou, Chun‐Sheng Wang, Ge‐Yi Fu, Xue‐Wei Xu, Zhibin Niu, Lin Zhu, Ye Yuan, Hong‐Bin Shen, Xiaoyong Pan

“…Abstract To address the issues of high demand for efficiently recognizing fish species in marine scientific research, such as impact assessments on biodiversity and monitoring, an automated hierarchical image classification web‐based platform, named FishAI, was developed. …”
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Nutrient deficiency detection and classification in coffee leaves using deep learning models by Randive Lalita, Sapkal Shubhangi, Bornare Deepak

“…Early detection and treatment are crucial for addressing these issues. Essential nutrients like nitrogen, phosphorus, and potassium are crucial for coffee plant growth. …”
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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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