LSTM‐based real‐time stress detection using PPG signals on raspberry Pi by Amin Rostami, Koorosh Motaman, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari

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LOGIC: LLM-originated guidance for internal cognitive improvement of small language models in stance detection by Woojin Lee, Jaewook Lee, Harksoo Kim

“…By incorporating LLM-generated target knowledge into the inference process, LOGIC achieves state-of-the-art performance on the VAried Stance Topics (VAST) dataset, outperforming advanced models like GPT-3.5 Turbo and GPT-4 Turbo in stance detection tasks.…”
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Integration of solar flare and coronal mass ejection event dataHarvard Dataverse by Anli Ji, Manolis K. Georgoulis, Berkay Aydin

“…We perform a confidence-based scoring process that involves spatial and temporal data integration for integrating LASCO CME data to their solar sources. …”
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Evaluation of Data-Driven Sustainability Potential at SMEs Using an Altered Ecocanvas Model by Levente Péter Bálint, László Várallyai, Szilvia Botos

“…Incorporating sustainability into business operations is likely to become one of the most significant priorities and challenges for companies in the near future. …”
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Social-demographic factors of providing regional economic security (by the data of Omsk oblast) by E. A. Kapoguzov, R. I. Chupin, M. S. Kharlamova, A. S. Tsaturyan

“…Objective: to develop an approach to assess the regional economic security indicators by supplementing them with socio- demographic factors and actualization of socio-demographic threats to the level of a certain region by assessing the probabilities of implementing social development scenarios in the region.Methods: general scientific methods of cognition were used in the research process; demographic threats to economic security were identified on the basis of regression analysis of secondary information (Rosstat data); the probability of implementing social development scenarios was estimated using the expert-statistical Bayesian method based on the data of the expert survey conducted by the authors.Results: the issues of economic security are widely covered in the scientific literature of recent years. …”
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Visualization Analysis of Research Hotspots and Trends in Electrochemical Machining Based on Literature Big Data by Feng Ji, Ye Kong

“…ABSTRACT Based on the big data of literature in the field of Electroforming processing, knowledge mapping and bibliometric methods are used in this article to conduct a visual analysis of the research hotspots, development trends, and research networks in this field. …”
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Big Data Meets Social Networks: A Survey of Analytical Strategies and Research Challenges by Shashank Sheshar Singh, Shashank Singh, Kuldeep Singh, Vishal Srivastava, Harish Kumar Shakya

“…It also discusses various big data architectures for SN analytics, like Lambda architecture, Kappa architecture, and GraphX architecture. …”
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Prediction of Gasification Process via Random Forest Regression Model Optimized with Meta-Heuristic Algorithms by Eunsung Oh

“…It addresses the pressing need for cost-effective and precise solutions in gasification, streamlining estimation processes across various operational conditions, enhancing safety, and enabling data-driven optimization.  …”
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Integrating SMED and Industry 4.0 to optimize processes with plithogenic n-SuperHyperGraphs by Julio Cesar Méndez Bravo, Claudia Jeaneth Bolanos Piedrahita, Manuel Alberto Méndez Bravo, Luis Manuel Pilacuan-Bonete

“…Key findings indicate synergistic effects between SMED and technologies like IoT and data analytics, improving standardization and adjustments, while augmented reality enhances post-changeover quality. …”
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The Use of Coding in a Situational Analysis of the Political Participation of Indigenous People in Chile's Constitutional Process by Héctor Turra Chico

“…The motivation for this article stems from the challenges I encountered as a newcomer to SA. Within the research process, coding—used alongside other techniques like mapping—played a crucial role in enabling engagement with the data and tackling analytical challenges. …”
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A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning by Aleksander Radovan, Leo Mršić, Goran Đambić, Branko Mihaljević

“…The research also analyzed the current General Data Protection Regulation (GDPR) that applies to the European Union and how it affects the use of systems like this. …”
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Performance assessment and optimization of Ti6Al4V helical hole milling process by Gururaj Bolar, Vikas Marakini, Raviraj Shetty, Sawan Shetty, Adithya Hegde

“…Therefore, the helical milling process was analyzed as an alternative for machining Ti6Al4V alloy in the present work. …”
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A comprehensive analysis of process-related CO2 emissions from Iran's cement industry by Bahman Massoumi Nejad, Sara Enferadi, Robbie Andrew

“…Utilizing plant-specific clinker data, the study applied methodologies aligned with the 2006 IPCC Guidelines and the WRI/WBCSD Greenhouse Gas Protocol to calculate emission factors and CO2 emissions. …”
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Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques by Parihar Bhawana, Kiran Ajmeera, Valaboju Sabitha, Rashid Syed Zahidur, Liyakat Kazi Kutubuddin Sayyad, D R Anita Sofia Liz

“…Traditional solutions tend to use standard techniques like basic data wrapping and cryptographic 'rings'; but, due to the design properties required, they end up as lightweight mechanisms, usually not interpretation-at-all capable because of the need for protecting data during processing - leaving these applications hard to use and maintain long-term, or otherwise, limited to cloud computing and federated learning, when individual data types can be worked on within providers like AWS, Azure, etc, etc; or, even, explaining the results with near total indifference to the underlying big data tools, analytics, or neural architectures. …”
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Controlling Product Properties in Forming Processes Using Reinforcement Learning—An Application to V-Die Bending by Ciarán-Victor Veitenheimer, Dirk Alexander Molitor, Viktor Arne, Peter Groche

“…The pre-trained agent is then used to control the springback in the real process. To close the resulting sim-to-real gap, it is then retrained on the experimentally generated data. …”
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Natural language processing for enhanced feedback mechanisms in breast cancer care: a systematic review and comparative exploration by Faezeh Firuzpour, Hamid Reza Saeidnia

“…Advanced NLP models, particularly transformer-based architectures like BERT and GPT, demonstrate significant potential in managing complex language data and extracting actionable insights from unstructured patient feedback. …”
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Perplexity Games: Maoism vs. Literature through the Lens of Cognitive Stylometry by Maciej Kurzynski

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Words high-frequency drying processes simulation of wooden tangent towers in a vacuum chamber by A. N. Kachanov, D. A. Korenkov, A. A. Revkov, V. V. Maksimov, O. V. Vorkunov

“…This model is characterized by the possibility of using simple algorithms for analyzing differential equation systems based on the finite differe nce method and requiring less initial data on the drying material properties. CONCLUSION. …”
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Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data by Juan Roberto Pereira Salcedo, Karla Melissa Ruiz Quezada, Edison Luis Cruz Navarrete, Pedro Manuel García Arias

“…AI systems require transformations of big data critical to processing because the findings are based upon incomplete, inconsistent, and/or biased findings which mean that findings and subsequent achieved expectations will inevitably have limitations. …”
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Benchmarking of key performance factors in textile industry effluent treatment processes for enhanced environmental remediation by M. U. Shakeel, S. Z. J. Zaidi, A. Ahmad, A. A.M. Abahussain, M. H. Nazir

“…The performance of ETP was analyzed by valuable data gained from figures of PH, Dissolved oxygen, Dissolved solids, Suspended solids, Density, COD and BOD. …”
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