Fake and Real Tweet Classification Using a Pre-Trained GPT-3 Approach by Delveen Luqman Abd Alnabi

“…In the pursuit of a solution, the development of user-friendly classifiers emerges as pivotal in upholding the integrity of information in the digital era. Therefore, this study delves into the classification of Fake and True news through the employment and comparison of prominent techniques such as the transformer-based GPT-3, Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM). …”
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The combination of the economic forecasts using expert information by A. A. Surkov

“…In this case, it is necessary to attract expert information or external information about the forecast obtained in order to increase its accuracy and adjust the further development of the economic process. …”
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Processing of veracity cues: how processing difficulty affects the memory of event description and judgment of confidence by Nicole Antes, Stephan Schwan, Markus Huff

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Doppler Examination Informativity in Children with Chronic Viral Hepatitis by F. I. Inoyatova, G. A. Yusupalieva, G. Z. Inogamova

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Cyber‐physical‐based welding systems: Components and implementation strategies by József Szőlősi, Péter Magyar, József Antal, Béla J. Szekeres, Gábor Farkas, Mátyás Andó

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Transformation of Government-Society Relations in Context of Contemporary Informational Technologies by A. I. Ponomarev, S. S. Bazhenov

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CONSIDERATIONS CONCERNING ACCOUNTING INFORMATION AND ACCOUNTING DECISIONS AND THEIR IMPLICATIONS IN BUSINESS MANAGEMENT by ANDREEA PAULA DUMITRU

“…Also we try to view them in an informational perspective knowing the importance that accounting information has in the process of making business decisions.…”
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Mitigating Safety Risks in Information Systems: A Self-Adaptive Approach by Shuja Mughal, Jens H. Weber, Assad Abbas

“…With various benefits of Information Systems (IS), there are increasing apprehensions regarding their safety implications. …”
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Activation of thermal states by coherently controlled thermalization processes by Kyrylo Simonov, Saptarshi Roy, Tamal Guha, Zoltán Zimborás, Giulio Chiribella

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Implementation of flexible DEA structure in the management of business processes by Šegrt Slobodan, Tomić Radoljub, Anđelković Maja

“…The application of a flexible DEA structure is significant, if there are situations where insufficient information can prevent the use of parametric statistical tests in the processes and outcomes of management and production. …”
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Physics-informed data-driven closure relation for dilute short fiber suspensions by Bruno Ramoa, Chady Ghnatios, João Miguel Nóbrega, Francisco Chinesta

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Extracting Target Detection Knowledge Based on Spatiotemporal Information in Wireless Sensor Networks by Tian Wang, Zhen Peng, Cheng Wang, Yiqiao Cai, Yonghong Chen, Hui Tian, Junbin Liang, Bineng Zhong

“…In this work, we utilize a more realistic signal model to describe sensing process of sensors. On the other hand, the “majority rule” is widely used to make the final decision, which may not obtain the true judgment. …”
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MapReduce Functions to Analyze Sentiment Information from Social Big Data by Ilkyu Ha, Bonghyun Back, Byoungchul Ahn

“…In particular, opinion mining has been used to understand the true meaning and intent of social networking site users. …”
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THE METHOD OF DETECTING INFORMATION ATTACK OBJECTS IN RECOMMENDATION SYSTEM BASED ON THE ANALYSIS OF RATING TRENDS by Yelyzaveta Meleshko

“…The subject matter of the research is the process of identifying information attacks on the recommendation system. …”
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Value of Mass Media in Food Safety Information Disclosure from the Perspective of Big Data by Qiaoling Zou, Jingai Ma, Tao Chu, Lei Zou, Jeannette V. L. Pope, Zishun Su

“…After an evolutionary game model was established with China as an example, the mass media’s participation in food safety information disclosure can affect the public’s decision-making, and true disclosure can promote the process and effectiveness; however, false disclosure will have adverse effects on all three parties. …”
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Neuromorphic principles for machine olfaction by Nik Dennler, Aaron True, André van Schaik, Michael Schmuker

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Response estimation and system identification of dynamical systems via physics-informed neural networks by Marcus Haywood-Alexander, Giacomo Arcieri, Antonios Kamariotis, Eleni Chatzi

“…However, these errors tend to have a more significant impact on parameter estimation, as the optimization process must reconcile discrepancies between the prescribed model and the true system behavior. …”
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How Important Is Informed Natal Dispersal for Modelling the Demographic and Genetic Effects of Environmental Variability? by Sam C. Banks, Ian D. Davies, Teigan Cremona, Hugh F. Davies, Alexander R. Carey, Geoffrey J. Cary

“…We simulated demographic and genetic processes under informed and uninformed dispersal across several scenarios of life history, environmental heterogeneity (patch size and patch dynamics) and dispersal distance. …”
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The intelligent fault identification method based on multi-source information fusion and deep learning by Dashu Guo, Xiaoshuang Yang, Peng Peng, Lei Zhu, Handong He

“…To more accurately enhance the morphological features of faults and achieve their rapid, precise, and intelligent identification, this paper employs a multi-source information fusion method. By analyzing and processing RSI, digital elevation model, and geological map data, the spectral, topographic, geomorphic, and structural features of faults are extracted. …”
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Modelo de evaluación del comportamiento ciudadano en la Administración electrónica (eGov – CIBEM) = eGovernment Citizen Behaviour Evaluation Model (eGov – CIBEM) by María Segunda García-González

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