Looking at Turkic History from the Perspective of Dynasties by İbrahim Tellioğlu

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Clinical-anthropometric characteristics of COPD outpatients belonging to the different groups and having different severity of airway obstruction by Gashynova K.Y.

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Impact of computing platforms on classifier performance in heart disease prediction by Beenish Ayesha Akram, Muhammad Irfan, Amna Zafar, Sidra Khan, Rubina Shaheen

“…Prediction and classification, a supervised learning technique in machine learning, addresses various challenges related to finding useful patterns present in data. …”
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Science, Technology, Engineering and Math (STEM) Academic Librarian Positions during 2013: What Carnegie Classifications Reveal About Desired STEM Skills. by Kelli Trei

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Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information by E. Vahedi Tekmehdash, H. Navid, H. Ghasemzadeh, H. Karimi, M. Javani Holan

“…Logistic regression was the best modeling method for binary classification between rumination and other behaviors. …”
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Improved CLIP-ILP Model for Detecting Illegal Passenger Transport in Freight Trucks by Xuan Wu, Wenlin Pan

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Microbial Agents in Terrorism, Biomarkers, and Public Health Challenges by Olukayode Orole, Aleruchi Chuku, Kayode Olawuyi, Eno Mantu, Alexander Philips, Chukwuma Okoli

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Exploring the Outcomes of Gallbladder Perforation: A Retrospective Observational Study by Shaan Hassan, Hemant Purohit, Atia Zaka-ur-Rab, Sayema Talib

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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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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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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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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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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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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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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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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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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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