Equipment Maintenance Support Effectiveness Evaluation Based on Improved Generative Adversarial Network and Radial Basis Function Network by Zhen Li, Jianping Hao, Cuijuan Gao

“…It adds category constraint based on category probability vector reordering function to GAN loss function, avoids the simplification of generated sample categories, and enhances the quality of generated samples. …”
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Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. by Michael Forrester, Sammy Petros, Oliver Cattell, Yi Ming Lai, Reuben D O'Dea, Stamatios Sotiropoulos, Stephen Coombes

“…Here we demonstrate the ability of this new modelling framework, when combined with data from the Human Connectome Project, to generate patterns of functional connectivity (FC) of the type observed in both magnetoencephalography and functional magnetic resonance neuroimaging. …”
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Frequency-Voltage-var Function for Active Front-end VFD on Oil and Gas Platforms with Offshore Wind Generation by Kassiane de S. Medeiros, João Marcus S. Callegari, Lorrana F. da Rocha, Danilo I. Brandao

“…However, the increased generation at FPSO based on converter-interfaced energy decreases the system-equivalent inertia constant, which becomes more susceptible to frequency deviations. …”
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“Gardens, Age and Generation in Children’s Picturebooks” by Katsura Sako, Sarah Falcus

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Performance evaluation of photovoltaic scenario generation by Siyu Ren, Tongxin Yang, Jun Luo, Gang Wu, Gang Wu, Kai Mao, Bowen Liu

“…Despite recent theoretical advancements, effectively evaluating the performance of photovoltaic scenario generation remains a significant challenge. Existing studies predominantly rely on metrics such as mean, variance, and probability density functions for assessment. …”
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A system for generating chatbots to support learning in the field of exact sciences using generative artificial intelligence models by Oleksandr Prokhorov, Dmytro Shymko, Olena Kuzminska, Andrey Chukhray, Oleksii Shatalov, Oleksandr Kholodniak

“…The objectives include: analyzing the challenges and peculiarities of creating chatbots and preparing high-quality datasets; developing the structure and describing the functionality of the chatbot generation system; providing examples of creating various types of chatbots; conducting experiments to determine the effectiveness and cost of chatbot generation. …”
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Intelligent hybrid method to predict generated power of solar PV system by Prashant Singh, Navneet Kumar Singh, Asheesh Kumar Singh

“…Three different membership functions are compared to select the best input membership function, <em>i.e.…”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…To model the variability of wind and solar DGs, probability distribution functions (PDFs) are employed, which allow for a more accurate representation of their performance. …”
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Analysis of gastric mucosa associated microbiota in functional dyspepsia using 16S rRNA gene next-generation sequencing by Noha Salah Soliman, May Sherif Soliman, Walied Elhossary, Amani Ali El-Kholy

“…There is a scarcity of data regarding the presence of gastric mucosa-associated dysbiosis in functional dyspepsia. The present study aimed to characterize the taxonomy and diversities of the microbiota in the gastric mucosa of patients with functional dyspepsia. …”
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Waves of Pixels and Word-generated Algorithms: Drone Poetry as a Collaborative Practice between Machine and Human in Waveform by Richard A. Carter by Katarzyna Ostalska

“…Drone-generated poetry challenges a human-centered (literary) perspective, raising questions about AI’s creativity and code’s generative and aesthetic, and not only functional, potential. …”
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Integrating quantum synchronization in future generation networks by Swaraj Shekhar Nande, Muhammad Idham Habibie, Milad Ghadimi, Andrea Garbugli, Koteswararao Kondepu, Riccardo Bassoli, Frank H. P. Fitzek

“…Thus, having accurate and dependable time synchronization is of utmost importance and plays a critical role in ensuring that all processes function smoothly and effectively. However, existing standards, such as the precision time protocol, are unreliable due to jitters, datagram losses, and complexity. …”
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Effective antistress ligands lithium new generation by K. S. Ostrenko, V. A. Galochkin, O. A. Gromova, V. V. Rastashanskii, I. Yu. Torshin

“…To increase stress tolerance it is necessary to maintain the body's balance functions of the nervous, immune, endocrine and antioxidant systems of the monooxygenase. …”
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Using GNN property predictors as molecule generators by Félix Therrien, Edward H. Sargent, Oleksandr Voznyy

“…Our approach hits target properties with rates comparable to or better than state-of-the-art generative models while consistently generating more diverse molecules. …”
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Generative language reconstruction from brain recordings by Ziyi Ye, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Min Zhang, Christina Lioma, Tuukka Ruotsalo

“…While an LLM can already generate high-quality content, our approach produces results more closely aligned with the visual or auditory language stimuli in response to which brain recordings are sampled, especially for content deemed “surprising” for the LLM. …”
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For a Semiotic Approach to Generative Image AI by Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, Alessandro Sarti

“…This article analyzes the semiotic functioning of Midjourney and DALL•E, two generative AI models capable of producing images out of natural language prompts. …”
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Simulation study on global migration of locally generated impurity in JT-60U by Ryuichi Sano, Tomohide Nakano, Shohei Yamoto

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Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

“…Each feedforward neural network consists of two perceptrons with ReLU activation functions and a linear projection layer, facilitating both category classification and bounding box regression.Results and DiscussionsTo evaluate the performance of RRM in the scene graph generation task, we employed several commonly used metrics in this research domain: Recall@K (R@K) and Mean Recall@K (mR@K). …”
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Dynamic experiences generated by sensory features through smart material driven design by Marta González-Colominas

“…They characterize the physical world and generate a continuous flow of sensory interactions. …”
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Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors by Priyanka Shrivastava

“…Sociolegal factors emerged as critical mediators, mitigating the negative impact of perceived risks and reinforcing the positive effects of functional perceptions. The study responds to prior feedback by offering a more integrated theoretical framework, clearly articulating how TAM, PMT, and SET interact to shape user behavior. …”
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And growth on form? How tissue expansion generates novel shapes, colours and enhance biological functions of Turing colour patterns of Eukaryotes. by Pierre Galipot

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