Wearables to detect independent variables, objective task performance, and metacognitive states by Matthew S. Daley, Jeffrey B. Bolkhovsky, Rachel Markwald, Timothy Dunn

“…The collected data were used to generate multiple machine learning models to detect the independent variables of the experiment (e.g., time awake and target prevalence), objective task performance, or metacognitive states. The strongest generated model was the time awake detection model (area under the curve = 0.92). …”
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Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study by Sergei Evteev, Yan Ivanenkov, Ivan Semenov, Maxim Malkov, Olga Mazaleva, Artem Bodunov, Dmitry Bezrukov, Denis Sidorenko, Victor Terentiev, Alex Malyshev, Bogdan Zagribelnyy, Anastasia Korzhenevskaya, Alex Aliper, Alex Zhavoronkov

“…Introduction: The significance of automated drug design using virtual generative models has steadily grown in recent years. While deep learning-driven solutions have received growing attention, only a few modern AI-assisted generative chemistry platforms have demonstrated the ability to produce valuable structures. …”
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Energy and economic analysis of domestic heating costs based on distributed energy resources: A case study in Spain by Olaia Eguiarte, Pablo de Agustín-Camacho, Luis del Portillo-Valdés

“…The study presents a heat pump model and a PV generation model to estimate the hourly performance of both systems. …”
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Tackling multimodal device distributions in inverse photonic design using invertible neural networks by Michel Frising, Jorge Bravo-Abad, Ferry Prins

“…However, different designs may have comparable or even identical performance confusing the optimization algorithm when performing inverse design. Our generative modeling approach provides the full distribution of possible solutions to the inverse design problem, including multiple solutions. …”
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Using SPOT data and leaf area index for rice yield estimation in Egyptian Nile delta by M. Aboelghar, S. Arafat, M. Abo Yousef, M. El-Shirbeny, S. Naeem, A. Massoud, N. Saleh

“…Nine models are generated and tested against the observed yield. Comparing the generated models show relatively higher superiority of (LAI-yield) and (infrared-yield) models over the rest of the models with (0.061) and (0.090) as a standard error of estimate and (0.945) and (0.883) as coefficient of determinations between modeled and observed yield. …”
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Contemporary Art Authentication with Large-Scale Classification by Todd Dobbs, Abdullah-Al-Raihan Nayeem, Isaac Cho, Zbigniew Ras

“…The experiments in this paper demonstrate that it is possible to use ML-generated models to authenticate contemporary art from 2368 to 100 artists with an accuracy of 48.97% to 91.23%, respectively. …”
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Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP by Carlos Matias Scavuzzo, Juan Manuel Scavuzzo, Micaela Natalia Campero, Melaku Anegagrie, Aranzazu Amor Aramendia, Agustín Benito, Victoria Periago

“…The results show that the ML models are superior to the classical statistical models; not only demonstrating similar results but also explaining, by using the SHAP package, the influence and interactions between the variables in the generated models. This analysis provides information to help understand the epidemiological problem presented and provides a tool for similar studies.…”
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T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells by Marcel Beining, Lucas Alberto Mongiat, Stephan Wolfgang Schwarzacher, Hermann Cuntz, Peter Jedlicka

“…Here, we present T2N, a powerful interface to control NEURON with Matlab and TREES toolbox, which supports generating models stable over a broad range of reconstructed and synthetic morphologies. …”
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cMolGPT: A Conditional Generative Pre-Trained Transformer for Target-Specific De Novo Molecular Generation by Ye Wang, Honggang Zhao, Simone Sciabola, Wenlu Wang

“…Deep generative models applied to the generation of novel compounds in small-molecule drug design have attracted a lot of attention in recent years. …”
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Optimization of Management Processes in Assessing the Quality of Stored Grain Using Vision Techniques and Artificial Neural Networks by Katarzyna Szwedziak, Żaneta Grzywacz, Ewa Polańczyk, Piotr Bębenek, Marian Olejnik

“…The application of computer image analysis reduced the time necessary for the quality assessment of the examined material compared to traditional methods. The generated models were characterized by good parameters and high quality, obtaining a high R² coefficient at the level of 0.999. …”
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Maximum Power Extraction in Photovoltaic Systems Using High-Performance Adaptive Control Approach by Ahmed Ouaret, Hocine Lehouche, Adel Oubelaid, Arvind Yadav, Boubekeur Mendil, Ievgen Zaitsev

“…The nonlinearities present in photovoltaic (PV) generator models can significantly impact the performance of PV systems, leading to decreased system efficiency and reduced profitability. …”
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A Robust InSAR Phase Unwrapping Method via Improving the pix2pix Network by Long Zhang, Guoman Huang, Yutong Li, Shucheng Yang, Lijun Lu, Wenhao Huo

“…We achieved our aim by upgrading the pix2pix network generator model and introducing the concept of quality map guidance. …”
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Product Design Scheme Generation and Optimization Decisions While Considering Remanufacturability by Shixiong Xing, Zhigang Jiang, Xugang Zhang, Yan Wang

“…Firstly, based on axiomatic design, the Z-shaped mapping was upgraded to the tree topology mapping, which was then incorporated into the scheme generation model, and seven remanufacturability design constraint criteria were used as constraints to obtain a product design set of scenarios. …”
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Mapping and monitoring of vegetation regeneration and fuel under major transmission power lines through image and photogrammetric analysis of drone-derived data by Joshua Sos, Kim Penglase, Tom Lewis, Prashant K. Srivastava, Harikesh Singh, Sanjeev K. Srivastava

“…Various fuel reduction techniques, including mega-mulching, spot sprays and cool mosaic burns, were implemented, and drone-generated models were employed to evaluate their effectiveness. …”
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Breathing on chip: Dynamic flow and stretch accelerate mucociliary maturation of airway epithelium in vitro by Janna C. Nawroth, Doris Roth, Annemarie van Schadewijk, Abilash Ravi, Tengku Ibrahim Maulana, Christiana N. Senger, Sander van Riet, Dennis K. Ninaber, Amy M. de Waal, Dorothea Kraft, Pieter S. Hiemstra, Amy L. Ryan, Anne M. van der Does

“…These results indicate that breathing-like mechanical stimuli are important modulators of airway epithelial cell differentiation and maturation and that their fine-tuned application could generate models of specific epithelial pathologies, including mucociliary (dys)function.…”
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Retrieval-Based Transformer Pseudocode Generation by Anas Alokla, Walaa Gad, Waleed Nazih, Mustafa Aref, Abdel-Badeeh Salem

“…In this paper, a novel retrieval-based transformer pseudocode generation model is proposed. The proposed model adopts different retrieval similarity methods and neural machine translation to generate pseudocode. …”
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End‐to‐end visual grounding via region proposal networks and bilinear pooling by Chenchao Xiang, Zhou Yu, Suguo Zhu, Jun Yu, Xiaokang Yang

“…Most existing approaches adopt a two‐stage mechanism to address this problem: first, an off‐the‐shelf proposal generation model is adopted to extract region‐based visual features, and then a deep model is designed to score the proposals based on the query phrase and extracted visual features. …”
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Economic analysis of large-scale rooftop photovoltaics considering carbon trading market by ZHOU Peng, ZHU Xiaotong, WU Jun, SONG Xiaojian, ZHANG Man, LI Bing

“…Secondly, the life-cycle economic model of rooftop photovoltaic with carbon trading income is established based on the power generation model. Thirdly, in order to quantitatively analyze the income of carbon trading, an improved grey prediction GM(1, 1) model based on the differential threshold filtering method is proposed to predict the future carbon price. …”
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Radio frequency fingerprint identification for Internet of Things: A survey by Xie Lingnan, Peng Linning, Zhang Junqing, Hu Aiqun

“…Furthermore, a novel framework is established from the perspective of closed set and open set problems, and the related state-of-the-art methodologies are investigated, including approaches based on traditional machine learning, deep learning, and generative models. Additionally, we highlight the challenges faced by RFF identification and point out future research trends in this field.…”
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A generalized dual-domain generative framework with hierarchical consistency for medical image reconstruction and synthesis by Jiadong Zhang, Kaicong Sun, Junwei Yang, Yan Hu, Yuning Gu, Zhiming Cui, Xiaopeng Zong, Fei Gao, Dinggang Shen

“…Most of the existing generative models ignore the fact that medical imaging usually occurs in the acquisition domain, which is different from, but associated with, the image domain. …”
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