Detection and Classification Expression of Visual Information Based on Artificial Intelligent Review Work by Nashwan J. Hussein, Amar A. Mahawish, Ibrahim Sami Attar

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Flat vs. Curved: Machine Learning Classification of Flexible PV Panel Geometries by Ahmad Manasrah, Yousef Jaradat, Mohammad Masoud, Mohammad Alia, Khaled Suwais, Piero Bevilacqua

“…However, they also showed overconfidence and underconfidence issues with the curved module geometries.…”
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Dual-Branch Spatial–Spectral Transformer with Similarity Propagation for Hyperspectral Image Classification by Teng Wen, Heng Wang, Liguo Wang

“…Experimental results demonstrate that DBSSFormer-SP exhibits excellent classification performance.…”
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Enhancing mental health diagnostics through deep learning-based image classification by Lixin Zhang, Ruotong Zeng

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Potato Disease and Pest Question Classification Based on Prompt Engineering and Gated Convolution by Wentao Tang, Zelin Hu

“…This mechanism only extracts the extreme value responses within the local receptive field, which leads to the degradation of fine-grained feature representation and significantly amplifies text noise. To address these issues, a dataset construction method based on prompt engineering is proposed, along with a question classification method utilizing a gated fusion–convolutional neural network (GF-CNN). …”
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Combining Transfer Learning and Ensemble Algorithms for Improved Citrus Leaf Disease Classification by Hongyan Zhu, Dani Wang, Yuzhen Wei, Xuran Zhang, Lin Li

“…Compared to traditional methods, the algorithm (integrating transfer learning Alexnet, VGG, and Resnet) we proposed can address the issues of limited categories, slow processing speed, and low recognition accuracy. …”
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Disasters classification in a compound event perspective: insights from existing databases by Carlo De Michele, Fabiola Banfi, Maria Pia Russomando

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Dual-Scale Complementary Spatial-Spectral Joint Model for Hyperspectral Image Classification by Huayue Chen, Yue Sun, Xiang Li, Bochuan Zheng, Tao Chen

“…This article proposes a novel dual-scale complementary spatial-spectral joint classification model (DSCSM) to mitigate the issues of detail loss and insufficient utilization of spatial information, which traditionally lead to lower classification accuracy. …”
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The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data by Fengyu Yang, Peng Wang, Wutao Qin, Zhangze Liao

“…We proposes a category imbalance classification model based on mixed feature enhancement between virtual and real domains to address the class imbalance problem in maritime target classification applications. …”
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Life cycle cost of communication towers: identification and hierarchical classification of influencing factors by Jing Zhang, Yang Wang, Qianyi Xu, Hongshuai Gao

“…While existing research has focused on structural optimization and technological advancements, few studies address cost-related issues across various stages, perspectives, and stakeholders. …”
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Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification by Shahriar Shayesteh, Diana Inkpen

“…Although FM addresses some of the critical issues of SS-GANs, these models still suffer from mode collapse with missing coverage outside the data manifold. …”
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Optimizing forensic file classification: enhancing SFCS with βk hyperparameter tuning by D. Paul Joseph, Viswanathan Perumal

“…By integrating α, β, and βj into file classification systems, classification models converge to local optima with O(n log n* |V|) time complexity. …”
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Unsupervised Segmentation and Classification of Waveform-Distortion Data Using Non-Active Current by Andrea Mariscotti, Rafael S. Salles, Sarah K. Rönnberg

“…The method can be applied to load identification and classification for non-intrusive load monitoring, with the aim of implementing automatic and unsupervised assessment of load behavior, including transient detection, power-quality issues and improvement in energy efficiency.…”
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Rice Leaf Nutrient Deficiency Classification System Using CAR-Capsule Network by M. Amudha, K. Brindha

“…Rice, a worldwide grown grain, frequently suffers production issues caused by nutrient imbalances, particularly potassium, nitrogen, and phosphorus. …”
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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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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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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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An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues by Ashifur Rahman, M. M. Mahbubul Syeed, Md. Rajaul Karim, Kaniz Fatema, Razib Hayat Khan, Mohammad Faisal Uddin

“…In relation to the ambiguity issue, the model demonstrates greater stability than traditional WQI models. …”
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Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach by Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais

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