Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

“…However, spectral similarity between different vegetation types and the issue of mixed pixels in medium-resolution satellite imagery remain significant challenges for fine-scale forest classification. …”
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CLPM: A Hybrid Network With Cross-Space Learning and Perception-Driven Mechanism for Long-Tailed Remote Sensing Image Classification by Lei Zhang, Min Kong, Changfeng Jing, Xing Xing

“…Long-tailed distribution is a common issue in remote sensing image classification (RSIC), and many datasets suffer from severe class imbalance. …”
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Smart Waste Management Framework for Green Cities: Integrating IoT, LoRa, and Deep Learning for Efficient Waste Classification and Management by Suprava Ranjan Laha, Khalid Al Smadi, Ahmad Khader Habboush, Binod Kumar Pattanayak, Saumendra Pattnaik, Bibhuprasad Mohanty

“… Waste management is recognized as a crucial issue in modern civilization, requiring substantial effort and resources while significantly impacting various societal aspects. …”
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Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data by Mazin Al-Mahrouqi, Abdollah Shafieezadeh, Jieun Hur, Jae-Wook Jung, Jeong-Gon Ha, Daegi Hahm

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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

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Machine learning for automated cause-of-death classification from 2021 to 2022 in Korea: development and validation of an ICD-10 prediction model by Seokmin Lee, Gyeongmin Im

“…Free-text fields for immediate, antecedent, and contributory causes were concatenated and fine-tuned with KM-BERT. Three classification models were developed: (1) final underlying cause prediction (International Classification of Diseases, 10th Revision [ICD-10] code) from certificate inputs, (2) tentative underlying cause selection based on ICD-10 Volume 2 rules, and (3) classification of individual cause-of-death entries. …”
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Experimental Modeling of Face Emotion Recognition Using Machine Learning Classification (SVM, KNN, Random Forest) and Deep Learning CNN by Shane Ardyanto Baskara, Nina Setiyawati

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Follow or Question? Hidden Diversity and Miscellaneous Thought on the Subspecific Classification of Marchantia emarginata Reinw., Blume & Nees (Marchantiaceae, Marchantiophyta) Com... by Tian‐Xiong Zheng

“…Currently, this species is segregated into three subspecies, and this subspecific classification is widely accepted since its formal inception. …”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…They are particularly powerful for tasks involving data recognition, classification, and analysis due to their ability to automatically and adaptively learn spatial hierarchies of features. …”
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“Sand Types”: A New Physicochemical Classification of Sand and Its Mapping Using Conditional Strings in ArcGIS10.x by A. C. Dinesh, N. V. Nisha, Pillai Rachna

“…The existing sediment classifications (Particle Size Distribution Classifications) based on Sand-Silt-Clay (SSC) or Gravel-Sand-Mud (GSM) of different authors have not addressed these issues and it remains as a gap area till now. …”
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Integrative Model Investigation of Occupational Safety and Health for MSMEs Using a Macro-Ergonomics Approach and Human Factors Analysis and Classification. by Ahmad Padhil, Hari Purnomo, Hartomo Soewardi, Imam Djati Widodo

“…Occupational safety and health (OSH) challenges in the Micro, Small, and Medium Enterprises (MSMEs) sector are serious issues that Warrant significant attention. This study aims at developing an integrative model investigation of Occupational Safety and Health for SMEs that use Job Shop production floors with a macro-ergonomics approach and Human Factors Analysis and Classification System (HFACS) to reduce the number of work accidents in this sector. …”
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Classification and Control of Key Factors Affecting the Failure of Aviation Piston Turbocharger Systems Using Model-Based System Safety Analysis by Mengyao Bao, Shuiting Ding, Guo Li

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A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels by Tao Jin, Jiaming Liu

“…Abstract This study proposes a novel text classification model, MBConv-CapsNet, to address large-scale text data classification issues in the Internet era. …”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…However, the complex landscape types and spatial structures of wetlands pose challenges, including interclass similarity and intraclass spatial heterogeneity, leading to the low separability of landscapes and difficulties in identifying fragmented and small objects. To address these issues, this study proposes the multilevel feature cross-fusion wetland landscape classification network (MFCFNet), which combines the global modeling capability of Swin Transformer with the local detail-capturing ability of convolutional neural networks (CNNs), facilitating discerning intraclass consistency and interclass differences. …”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. There is an immediate requirement for effective monitoring, detection, and classification of power quality disturbances (PQDs) that is needed to take remedial measures and design planning of the system architecture. …”
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HD-MVCNN: High-density ECG signal based diabetic prediction and classification using multi-view convolutional neural network by D. Santhakumar, K. Dhana Shree, M. Buvanesvari, A. Saran Kumar, Ayodeji Olalekan Salau

“…Examining ECG signals recorded on the body’s surface may not be an effective method for studying and diagnosing diabetic issues. The study introduces a research proposal utilizing a high-density resolution electrocardiogram (ECG) system with a minimum of 64 channels and multi-view convolutional neural network classification (HD-MVCNN) to address the mentioned challenges. …”
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A Robust Multispectral Reconstruction Network from RGB Images Trained by Diverse Satellite Data and Application in Classification and Detection Tasks by Xiaoning Zhang, Zhaoyang Peng, Yifei Wang, Fan Ye, Tengying Fu, Hu Zhang

“…Compared to RGB images, the accuracies of classification and detection using reconstructed multispectral images have improved by 16.67% and 3.09%, respectively. …”
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DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images by Shiyang Feng, Zhaowei Li, Bo Zhang, Tao Chen, Bin Wang

“…To address these issues, we propose a dual-stage feature fusion framework based on NAS, termed DSF2-NAS, for the classification of multimodal RSIs. …”
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Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis by Reshma Sreejith, R.Kanesaraj Ramasamy, Wan-Noorshahida Mohd-Isa, Junaidi Abdullah

“…Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment. …”
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A preliminary report on the feasibility of regression-based alignment of diagnostic thresholds for harmonized use of international classification criteria for antiphospholipid synd... by Yukari Motoki, Risa Kaneshige, Yuichiro Fujieda, Kenji Oku, Eriko Morishita, Masahiro Ieko, Tatsuya Atsumi, Kiyoshi Ichihara, Junzo Nojima

“…<h4>Background</h4>In 2023, international rheumatology societies issued new classification criteria for antiphospholipid syndrome (APS). …”
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