Examining the impact of cue similarity and fear learning on perceptual tuning by Jonas Zaman, Kenny Yu, Marta Andreatta, Matthias J. Wieser, Yannik Stegmann

“…Our analysis using generative modeling demonstrated weak to moderate evidence that aversive learning did not alter discrimination acuity in any of the groups. …”
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Discovering optimal resource allocations for what-if scenarios using data-driven simulation by Jorge Bejarano, Daniel Barón, Oscar González-Rojas, Manuel Camargo

“…IntroductionData-driven simulation allows the discovery of process simulation models from event logs. The generated model can be used to simulate changes in the process configuration and to evaluate the expected performance of the processes before they are executed. …”
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What Are Recurrent Expansion Algorithms? Exploring a Deeper Space than Deep Learning by Tarek Berghout, Mohamed Benbouzid

“…Recent advances in deep learning have brought many improvements to the field, providing generative modeling, nonlinear abstractions, and adaptive learning to address these challenges. …”
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Development of Cost Correlations for the Economic Assessment of Power Plant Equipment by Moein Shamoushaki, Pouriya H. Niknam, Lorenzo Talluri, Giampaolo Manfrida, Daniele Fiaschi

“…The proposed compressor models for both centrifugal and reciprocating types showed that the Turton cost estimation for carbon steel compressor and Matche’s and Mhhe’s data were compatible with the generated model. According to the results, the cost trend in the Turton correlation for carbon steel had a somewhat lower estimation than these correlations. …”
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A new imbalanced data oversampling method based on Bootstrap method and Wasserstein Generative Adversarial Network by Binjie Hou, Gang Chen

“…Through the above steps, the generator model can learn the useful features from the minority class and generate realistic-looking minority class samples. …”
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Shoreline Detection from PRISMA Hyperspectral Remotely-Sensed Images by Paola Souto-Ceccon, Gonzalo Simarro, Paolo Ciavola, Andrea Taramelli, Clara Armaroli

“…Coastal managers, policymakers, and scientists use shoreline accretion/erosion trends to determine the coastline’s historical evolution and generate models capable of predicting future changes. …”
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Urban Biophysical Quality Modelling Based On Remote Sensing Data In Semarang, Indonesia by Iswari Nur Hidayati, Karunia Pasya Kusumawardani, A. G. Ayudyanti, R. R. Prabaswara

“…Based on PCA Results, it was found that the built-up land index and vegetation index mainly contributed to the UBEQ index. The generated model had 86.5% accuracy. Also, the study area, Semarang City, had varying UBEQ index values, from high to low levels.…”
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Night Vision Anti-Halation Algorithm of Different-Source Image Fusion Based on Low-Frequency Sequence Generation by Quanmin Guo, Jiahao Liang, Hanlei Wang

“…The low-frequency sequence generation model is constructed to generate image sequences with different degrees of halation elimination. …”
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The reduction of polynomial degrees using moving average filter and derivative approach to decrease the computational load in polynomial classifiers by Dewi Agustini Santoso, Gutama Indra Gandha

“…This phenomenon affects the accuracy level of the generated model. The degree reduction algorithm is required to prevent the occurrence of Runge’s phenomenon. …”
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GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos by Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler

“…Anomaly detection using deep learning is therefore mainly constrained to generative models such as generative adversarial networks and autoencoders due to their unsupervised nature; however, even they suffer from general deep learning issues and are hard to properly train. …”
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Modeling and Harmonic Impact Mitigation of Grid-Connected SCIG Driven by an Electromagnetic Frequency Regulator by Juliano C. L. da Silva, Thales Ramos, Manoel F. Medeiros Júnior

“…The steady state of the EFR harmonic model is developed in the stationary frame based on the conventional induction generator modeling, which allows the study of the harmonic disturbances in the electrical and mechanical variables due to the PWM inverter of the EFR’s armature voltage. …”
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Product Model Derivation from Feature Model and Formal Specification by Xi Wang, Weiwei Wang, Hongbo Liu

“…The result indicates that our method facilitates the derivation process and improves the quality of the generated models.…”
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Automatic Computer Composition for Piano Music via Deep Learning and Blockchain Technology by Pingping Li, Bin Wang

“…The automatic music generating model is built using these four neural networks after studying the properties of the recurrent neural network, Long and Short-Term Memory network, convolutional neural network (CNN), and multi-column CNN. …”
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The Analysis of Optimization Strategy of Industrial Design in Automatic Sketch Generation Based on Deep Learning by Tian Ye

“…By innovatively combining generation model and optimization algorithm, this research has contributed beneficial research results to the development of industrial design automation. …”
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Research on the generative logic and configuration effects of the policy implementation environment in China's grassroots digital construction: Traceability based on grounded theor... by Junjie Li, Bangfan Liu

“…Using NVivo12plus software, this study constructs a generation model of the policy implementation environment in China's grassroots digital construction by examining the data from interviews with 37 Chinese grassroots civil servants as its research object. …”
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Numerical Non-Linear Modelling Algorithm Using Radial Kernels on Local Mesh Support by Francisco José Navarro-González, Yolanda Villacampa, Mónica Cortés-Molina, Salvador Ivorra

“…The goodness of fit of the generated models has been tested and compared with some other methodologies validating the results with some experimental campaigns obtained from bibliography in the engineering field, showing good approximation. …”
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Neural response generation for task completion using conversational knowledge graph. by Zishan Ahmad, Asif Ekbal, Shubhashis Sengupta, Pushpak Bhattacharyya

“…This conversational knowledge-graph is then used by our response generation model to generate more relevant and consistent responses. …”
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Generation and optimisation of colour-shaded relief maps using neural networks by Chenglin Bian, Shaomei Li, Jingzhen Ma, Guangzhi Yin, Bowei Wen, Linghui Kong

“…The experimental results suggest that all four types of network-based shaded relief maps models effectively depict the primary terrain features within the mapped area. The CGAN (UNet generator) model yields the most optimal results, showcasing the superior cartographic generalisation of relief and delineation of terrain structures compared with the other models. …”
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Expert vs. Novices Dimensions of Tagging Behaviour in an Educational Setting by Sonja Spiranec, Mislav Borovac

“…This has begun to change with the development of folksonomies as alternative, user-generated models of organizing information. The aim of this paper is to research the efficiency in tagging and folksonomy. …”
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A Machine Learning Application for the Energy Flexibility Assessment of a Distribution Network for Consumers by Jaka Rober, Leon Maruša, Miloš Beković

“…Based on the forecast and measured load patterns, flexibility scenarios were created for each consumer. The generated models were evaluated and compared with the forecasting based on the average load of the past days. …”
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