TYPES OF GOLD PLACERS OF THE AMYL-SISTIGKHEM PLACER REGION, WEST SAYAN by Ch.M. Khertek, A.M. Sazonov

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Research Progress of Sea Cucumber Polysaccharides on the Structure, Health Efficacy and Mechanism by Xinyu DONG, Rui MI, Fuyi WANG, Haiman LI, Ying LI, Biyi CHEN, Qiancheng ZHAO

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A Fault Detection Framework for Rotating Machinery with a Spectrogram and Convolutional Autoencoder by Hoyeon Lee, Jaehong Yu

“…Finally, we construct the fault detection model by applying the one-class classification algorithm to the latent feature vectors of training signals. …”
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A comprehensive review of predictive analytics models for mental illness using machine learning algorithms by Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, Ferdaus Anam Jibon, Md. Sahidullah

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Ontology of genesis of the general education course of Informatics in Russia based on historical and pedagogical analysis by Eteri V. Mindzaeva, Natalya I. Ryzhova

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Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM by Saravanan Chandrasekaran, S. Aarathi, Abdulmajeed Alqhatani, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Mohammad Tabrez Quasim, Shakila Basheer

“…This study describe a unique multimodal scheme combining the capabilities of deep learning with ensemble learning approaches to overcome these issues.MethodsThe system integrates three new modalities, spatial feature extraction using a pre-trained VGG19 network, sequential dependency learning using a Bidirectional LSTM, and classification efficiency through a LightGBM classifier.ResultsThe combination of both methods leverages the complementary strengths of convolutional neural networks and recurrent neural networks, thus enabling the model to achieve state-of-the-art performance scores. …”
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Towards High-Resolution Population Mapping: Leveraging Open Data, Remote Sensing, and AI for Geospatial Analysis in Developing Country Cities—A Case Study of Bangkok by Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama

“…Challenges identified in mixed-use and townhouse building types are attributed to issues of misclassification and constraints in input data. …”
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Neuroendocrine tumors of the digestive system: pathologic and molecular characteristics by V. V. Delektorskaya

“…In the light of these criteria, current issues of the nomenclature, as well as systems of grading and staging are discussed. …”
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Dynamic Bit-Plane Augmentation Framework for Enhancing Data Quality and Robustness in Remote Sensing by Weipeng Jing, Tianyi Liu, Lina Wang, Peilun Kang, Chao Li, Hailin Feng

“…In artificial intelligence (AI)-driven remote sensing, data quality issues critically affect the generalization and reliability of deep learning models. …”
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The performance of ChatGPT in day surgery and pre-anesthesia risk assessment: a case-control study of 150 simulated patient presentations by Tingting Cheng, Yu Li, Jiaqiu Gu, Yibo He, Guangbao He, Peipei Zhou, Shuyun Li, Hang Xu, Yang Bao, Xuejun Wang

“…There was no difference between the ChatGPT group and the expert group for the ASA-PS classification and assessment of anesthesia risk in the patient profiles (P > 0.05). …”
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SEMANTICS AND MEANING OF TERMS WITH THE COMPONENT ’RED’ by Velislava Stoykova

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Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset by Muskan Naresh Jain, Salah Mohammed Awad Al-Heejawi, Jamil R. Azzi, Saeed Amal

“…Kidney cancer has become a major global health issue over time, showing how early detection can play a very important role in mediating the disease. …”
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Embedded feature fusion for multi-label criteria selection via local search strategy and particle swarm optimization by Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv

“…Abstract Multi-label classification is a significant challenge in machine learning, especially as the dimensionality of the problem increases. …”
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Düzce University by Nur UYLAŞ SATI

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Düzce University by Nur UYLAŞ SATI

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Düzce University by Nur UYLAŞ SATI

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Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset by Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, Carla Rimassa, Carla Taramasco

“…The dataset obtained from the EPIVIGILA system and the Chilean Epidemiological Surveillance Process contains information on over 6,000,000 patients, but, like many current datasets, it suffers from class imbalance. To address this issue, we applied various machine learning algorithms, both with and without sampling methods, and compared them using different classification and diagnostic metrics such as precision, sensitivity, specificity, likelihood ratio positive, and diagnostic odds ratio. …”
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Coal Seam Roof and Floor Lithology Prediction for Underground Coal Gasification Based on Deep Residual Shrinkage Network by Jialiang Guo, Ruizhao Yang, Fengtao Han

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Segmentation protocols in the digital twins of monumental heritage: a methodological development by Valeria Cera, Massimiliano Campi

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System Flexibility-Oriented Optimized Unit Operation in Wind Farms by Qian LI, Luyang GOU, Fan LI, Anan ZHANG, Yadi ZHENG, Xipeng ZHOU

“…Secondly, based on their operating characteristics, the wind turbines, are classified using FCM classification algorithm in terms of their flexibilities such that the equivalent virtual power dispatch model of the units are established. …”
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