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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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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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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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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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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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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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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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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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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Improving Balanced Accuracy for Minority Plant Species under Data Imbalance by Ruben Gonzalez-Villanueva, Jose Carranza-Rojas

“…Regardless of the widely known success of deep learning in classification, such models are commonly measured by metrics that do not account for data imbalance, especially in terms of predictions per class, ignoring minority classes. …”
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Diabetic Retinopathy. Morphofunctional State of the Retina in Pancreas Recipients by I. V. Vorobyeva, L. K. Moshetova, A. V. Pinchuk, E. V. Bulava, K. E. Lazareva, N. S. Zhuravel

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Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning by Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

“…Second, we proposed an arrhythmia classification method utilizing a modified convolutional neural network (CNN) architecture with additional convolutional and batch normalization layers. …”
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Reducing overfitting in vehicle recognition by decorrelated sparse representation regularisation by Wanyu Wei, Xinsha Fu, Siqi Ma, Yaqiao Zhu, Ning Lu

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Utilisation of antibiotics in a community pharmacy: A case from north-west, South Africa by Zanele Nsingo, Varsha Bangalee, Deanne Johnston

“…Background: Antibiotic utilisation is a growing public health issue due to antimicrobial resistance. Community pharmacies are a key access point for antibiotics; thus, an evaluation of dispensing records will provide insights into their use. …”
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Mapping Wetlands with High-Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand by Md. Saiful Islam Khan, Maria C. Vega-Corredor, Matthew D. Wilson

“…However, each model over-predicts total wetland area at a national level, an issue which was able to be reduced by increasing the classification probability threshold and spatial filtering. (4) Conclusions: The comparative analysis highlights the strengths and trade-offs of RF, XGB, HGB and MLPC models for wetland classification. …”
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Skill-based employment taxonomy in the global IT industry 5.0 by Jorge Valverde-Rebaza, Jorge Valverde-Rebaza, Fabiana Rodrigues de Góes, Julieta Noguez, Nathalia C. Da Silva

“…While the International Labour Organization (ILO) has introduced the International Standard Classification of Occupations (ISCO) for job classification on a global scale, it lacks the necessary granularity for the rapidly evolving IT landscape.MethodsEfforts to bridge the previous granularity issue often fall short due to country-specific labor market peculiarities. …”
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THE INFLUENCE OF CONFLICTS ON THE STATE OF INTERNATIONAL SECURITY AND WAYS OF REGULATING GEOPOLITICAL TENSIONS by Olena A. Parshyna, Margaryta Yu. Parshyna, Tatiana V. Chumak, Liudmyla I. Yarmolenko

“…The formation of an analytical system for supporting strategic decision-making has been proposed in order to solve issues related to the settlement of international conflicts and the effective development of international relations. …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

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Research of modern approaches to training and developing qualification requirements for a pilot/operator of unmanned aircraft system in accordance with the ICAO standards by K. S. Ermakov

“…First, this article outlines the UAS classification considering the ICAO standards as well as unique characteristics. …”
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