GreenNet: A dual-encoder network for urban green space classification using high-resolution remotely sensed images by Ke Chen, Yang Wang, Cunrui Huang, Jing Wang, Sabrina L. Li, Haiyan Guan, Lingfei Ma

“…However, existing deep learning networks for large-scale high-resolution remote sensing images often face limited receptive fields and insufficient extraction of global information, making it challenging to achieve satisfactory performance on urban green space classification tasks. To address these issues, this paper presents a novel dual-encoder network, termed GreenNet, specifically designed for urban green space classification from high-resolution remotely sensed images. …”
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ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classificationZenoob - EU Open Research Repository by Oshana Iddi Dissanayake, Sarah E. McPherson, Joseph Allyndrée, Emer Kennedy, Pádraig Cunningham, Lucile Riaboff

“…The code utilized for the classification is publicly available in the dataset repository. …”
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The idea of a welfare state in the aspect of state-legal monism and pluralism by S. V. Biryukov, A. E. Evstratov

“…The classifications of the welfare state carried out by G. …”
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Cognitive Approach in Document Indexing by Savo TOMOVIĆ, Kosta PAVLOVIĆ

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SPONDYLOARTHRITIS: EVOLUTION OF A CONCEPT by Sh. F. Erdes

“…Gubar et al. published in the present issue of the journal. Therefore it appears more reasonable to consider non-radiological axial SpA (with sacroiliitis confirmed by MRI) as an early stage of SpA.…”
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Enhanced residual attention-based subject-specific network (ErAS-Net): facial expression-based pain classification with multiple attention mechanisms by Mahdi Morsali, Aboozar Ghaffari

“…The UNBC-McMaster Shoulder Pain dataset is used to demonstrate the effectiveness of the proposed deep learning algorithm, which achieves impressive values of 98.77% accuracy for binary classification and 94.21% for four-level pain intensity classification using tenfold cross-validation. …”
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CL-SR: Boosting Imbalanced Image Classification with Contrastive Learning and Synthetic Minority Oversampling Technique Based on Rough Set Theory Integration by Xiaoling Gao, Nursuriati Jamil, Muhammad Izzad Ramli

“…Image recognition models often struggle with class imbalance, which can impede their performance. To overcome this issue, researchers have extensively used resampling methods, traditionally focused on tabular datasets. …”
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Advancing mango quality assurance: Non‐destructive detection of spongy tissue using visible near‐infrared spectroscopy and machine learning classification by Patil Rajvardhan Kiran, Md Yeasin, Pramod Aradwad, T. V. Arunkumar, Roaf Ahmad Parray

“…Additionally, it introduces innovative classification models for automated binary categorization (Healthy vs. …”
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Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data by Simone A. Ludwig

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TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention by Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng

“…To address this issue, this paper proposed an unsupervised temperature–emissivity–driven band selection method (TEBS) for TIR-HSIs classification, which integrated a structured state-space model (SSM) and a gated attention mechanism (GAM). …”
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Classification of Karst Rocky Desertification Levels in Jinsha County Using a Feature Space Method Based on SDGSAT-1 Multispectral Data by Qi Chen, Han Fu, Xiaoming Li, Xiaochuan Qin, Lin Yan

“…Karst rocky desertification (KRD) is a significant issue that affects the ecological and economic sustainability of southwest China. …”
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Few-Shot Unsupervised Domain Adaptation Based on Refined Bi-Directional Prototypical Contrastive Learning for Cross-Scene Hyperspectral Image Classification by Xuebin Tang, Hanyi Shi, Chunchao Li, Cheng Jiang, Xiaoxiong Zhang, Lingbin Zeng, Xiaolei Zhou

“…Hyperspectral image cross-scene classification (HSICC) tasks are confronted with tremendous challenges due to spectral shift phenomena across scenes and the tough work of obtaining labels. …”
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FTIR-SpectralGAN: A Spectral Data Augmentation Generative Adversarial Network for Aero-Engine Hot Jet FTIR Spectral Classification by Shuhan Du, Yurong Liao, Rui Feng, Fengkun Luo, Zhaoming Li

“…Experimental results demonstrate that the spectral classification accuracy reaches up to 99%, effectively addressing the overfitting issue commonly encountered in CNN-based classification tasks with limited samples. …”
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Decision-Level Multi-Sensor Fusion to Improve Limitations of Single-Camera-Based CNN Classification in Precision Farming: Application in Weed Detection by Md. Nazmuzzaman Khan, Adibuzzaman Rahi, Mohammad Al Hasan, Sohel Anwar

“…To improve the accuracy of the weed classification system and to overcome the shortcomings of single-sensor-based classification from CNN, an improved Dempster–Shafer (DS)-based decision-level multi-sensor fusion algorithm was developed and implemented. …”
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Classifying Software Modeling Languages: The CLUPIR Model Approach by Joao Seabra, Lyrene Fernandes da Silva

“…However, the sheer variety of available MLs presents a significant challenge for software designers in selecting the most suitable language to model a specific problem or situation. To address this issue, this study introduces CLUPIR, a classification model designed to organize and catalog MLs based on a comprehensive set of aspects. …”
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Implementation of a Telegram-Based Child Consultation Chatbot Using IndoBERT by Gusti Ayu Wahyu Whurapsari, I Made Agus Dwi Suarjaya, Wayan Oger Vihikan

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Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa by Umar D. Akor, Muhammad Rezky Fiesta Payu, La Ode Nashar

“…The issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. …”
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Chronic Inflammation Index-Based Tumor Subsite Classification Correlated with Chemotherapy Benefit and Survival Outcomes in Stage II-III Colorectal Cancer by Lu Y, Ye QY, Mei O, Li YN, Peng Y, Ying HQ, Cheng XX

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A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm by Jing Yang, Touseef Sadiq, Jiale Xiong, Muhammad Awais, Uzair Aslam Bhatti, Roohallah Alizadehsani, Juan Manuel Gorriz

“…Developing this method presented a significant challenge due to the imbalanced classification of the Z‐Alizadeh Sani myocarditis dataset from Omid Hospital in Tehran. …”
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Enhancing rice phenology identification by synergistic learning canopy optical signals and plant height dynamics by Ziqiu Li, Weiyuan Hong, Xiangqian Feng, Aidong Wang, Hengyu Ma, Ruijie Li, Qing Yao, Hao Jiang, Song Chen

“…Experimental results demonstrated GrowAI's superior performance, achieving classification accuracies of 0.937 (OA) and 0.927 (F1-score), representing average improvements of 6.9 % and 7.0 % respectively over conventional full-spectrum deep learning approaches. …”
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