Angular momentum of doubly magic 132Sn fission product: Experimental and theoretical aspects by Serot Olivier, Chebboubi Abdelhazize, Nicholson Jehaan, Kessedjian Grégoire, Litaize Olivier, Sage Christophe, Meplan Olivier, Ramdhane Mourad, Köster Ulli, Kim Yung Hee

“…To further challenge the angular momentum generation models, 132Sn isomeric ratio (IR) was measured as a function of 132Sn fission product kinetic energy (KE). …”
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UAV Aerial Image Generation of Crucial Components of High-Voltage Transmission Lines Based on Multi-Level Generative Adversarial Network by Jinyu Wang, Yingna Li, Wenxiang Chen

“…Therefore, we propose a novel GANs-based image generation model to be used for the critical components of power lines. …”
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Artifact-free fat-water separation in Dixon MRI using deep learning by Nicolas Basty, Marjola Thanaj, Madeleine Cule, Elena P. Sorokin, Yi Liu, E. Louise Thomas, Jimmy D. Bell, Brandon Whitcher

“…We formulate fat-water separation as a style transfer problem, where swap-free fat and water volumes are predicted from the acquired Dixon MRI data using a conditional generative adversarial network, and introduce a new loss function for the generator model. Our method is able to predict highly accurate fat and water volumes free from artifacts in the UK Biobank. …”
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Model Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors by Jacob C. Piland, Adam Czajka, Christopher Sweet

“…We show, using a problem of synthetic face detection, that improving the model’s focus, through lowering entropy by the proposed loss components, leads to models that perform better in an open-set scenario (in which the test samples are synthesized by unknown generative models): the obtained average Area Under the ROC curve (AUROC) ranges from 0.72 to 0.78, compared to AUROC = 0.64 observed for a state-of-the-art human-salience-only-based control of the model’s focus. …”
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UnCorrupt SMILES: a novel approach to de novo design by Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen

“…This study has found that the percentage of invalid outputs from these specific generative models ranges between 4 and 89%, with different models having different error-type distributions. …”
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Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images by Vien Lam Che, Julius Zimmermann, Yilu Zhou, X. Lucas Lu, Ursula van Rienen, Ursula van Rienen, Ursula van Rienen

“…In this work, we explore classical and artificial intelligence methods for volumetric image segmentation to generate model geometries. We find that deep learning, in particular the StarDist algorithm, permits fast and automatic model geometry and discretisation generation once a sufficient amount of training data is available. …”
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Influence of N, K, and Seaweed Extract Fertilization on Biomass, Photosynthetic Pigments, and Essential Oil of <i>Thymus vulgaris</i>: Optimization Study by Response Surface Method... by Shaida Muetasam Jafr, Abdol Rahman Rahimi, Masoud Hashemi, Asad Rokhzadi

“…The experiment was laid out as a Box-Behnken design with three replications and three experimental factors, including nitrogen (urea) (0, 200, and 400 kg ha⁻¹), and foliar application of potassium (Flourish Sulfopotash) (0, 6, and 12 kg ha⁻¹) and seaweed extract (0, 3, and 6 L ha⁻¹⁾. The generated models were statistically significant for all measured traits except for γ-terpinene and <i>p</i>-cymene. …”
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Your smartphone could act as a pulse-oximeter and as a single-lead ECG by Ahsan Mehmood, Asma Sarouji, M. Mahboob Ur Rahman, Tareq Y. Al-Naffouri

“…To be precise, the contribution of this paper is twofold: (1) estimation of the three body vitals (PR, SpO2, RR) from the vPPG data using custom-built CNNs, vision transformer, and most importantly by CLIP model (a popular image-caption-generator model); (2) a novel discrete cosine transform+feedforward neural network-based method that translates the recorded video-PPG signal to a single-lead ECG signal. …”
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An information theoretic score for learning hierarchical concepts by Omid Madani

“…CORE is applicable to generative models such as probabilistic finite state machines (beyond strings). …”
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VQ-InfraTrans: A Unified Framework for RGB-IR Translation with Hybrid Transformer by Qiyang Sun, Xia Wang, Changda Yan, Xin Zhang

“…Most RGB-IR transfer work currently relies on conditional generative models to learn and train IR images for specific devices and scenes. …”
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Network analysis reveals insights about the interconnections of Judaism and Christianity in the first centuries CE by Michal Bar-Asher Siegal, Yossi Yovel

“…While working on a limited set of data, from a specific corpus, this project offers a new set of methodological tools, borrowed from computer sciences, that could ultimately serve for understanding the connections between Jews and Christians in late antiquity. We generated models of inter-religious Christian–Jewish networks that demonstrate the scope, nature, and advantages of network analysis for revealing the complex intertwined evolution of the two religions. …”
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Improving the Izhikevich Model Based on Rat Basolateral Amygdala and Hippocampus Neurons, and Recognizing Their Possible Firing Patterns by Sahar Hojjatinia, Mahdi Aliyari Shoorehdeli, Zahra Fatahi, Zeinab Hojjatinia, Abbas Haghparast

“…In this algorithm, optimization tools, like crossover and mutation, provide the basis for generating model parameters populations. The process of comparison in each iteration leads to the survival of better populations until achieving the optimum solution. …”
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Quasar Factor Analysis—An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis by Zechang Sun, Yuan-Sen Ting, Zheng Cai

“…QFA captures the posterior distribution of quasar continua through generatively modeling quasar spectra. We demonstrate that QFA can achieve the state-of-the-art performance, ∼2% relative error, for continuum prediction in the Ly α forest region compared to previous methods. …”
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Development and Evaluation of the Virtual Prototype of the First Saudi Arabian-Designed Car by Mustufa H. Abidi, Abdulrahman M. Al-Ahmari, Abdulaziz M. El-Tamimi, Saied Darwish, Ali Ahmad

“…Virtual prototyping has come a long way in recent years, where current environments enable stereoscopic visuals, surround sound and ample interaction with the generated models. It is also important to evaluate how representative the developed virtual prototype is when compared to the real-world counterpart and the sense of presence reported by users of the virtual prototype. …”
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Evolutionary degeneration of septins into pseudoGTPases: impacts on a hetero-oligomeric assembly interface by Alya Hussain, Vu T. Nguyen, Philip Reigan, Michael McMurray

“…Here, we used recent septin crystal structures, AlphaFold-generated models, phylogenetics and in silico nucleotide docking to investigate how in some organisms the septin G interface evolved to accommodate changes in nucleotide occupancy. …”
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Use of Data Mining Techniques for the Prediction of Surface Roughness of Printed Parts in Polylactic Acid (PLA) by Fused Deposition Modeling (FDM): A Practical Application in Frame... by Esther Molero, Juan Jesús Fernández, Oscar Rodríguez-Alabanda, Guillermo Guerrero-Vaca, Pablo E. Romero

“…In the present work, ten data mining algorithms have been used to generate models capable of predicting the surface roughness of parts printed on polylactic acid (PLA) by using fused deposition modeling (FDM). …”
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Potential of in vivo stress reporter models to reduce animal use and provide mechanistic insights in toxicity studies [version 1; peer review: 2 approved] by Colin J. Henderson, C. Roland Wolf, Febe Ferro, Michael McMahon, Francisco Iñesta Vaquera

“…In this report, we describe a new and previously generated models in our lab, provide the methodology required for their use and discuss how they have been used to inform on toxic risk. …”
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Molecular dynamics ensemble refinement of the heterogeneous native state of NCBD using chemical shifts and NOEs by Elena Papaleo, Carlo Camilloni, Kaare Teilum, Michele Vendruscolo, Kresten Lindorff-Larsen

“…As the native state of a protein is best described as an ensemble of conformations, it is important to be able to generate models of native state ensembles with high accuracy. …”
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Estimation of total prostate specific antigen values through artificial intelligence modelling by Seyma Yasar, Ali Beytur, Cemil Colak

“…The estimated accuracy of the generated model is predicted as 20.3%. In the MLP ANN model, the importance levels of the variables were obtained as 0.33 for HGB, 0.22 for NE, 0.16 for Calcium, 0.13 for PLT, 0.10 for age and 0.06 for EX. …”
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Intelligent prediction models based on machine learning for CO2 capture performance by graphene oxide-based adsorbents by Farnoush Fathalian, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati

“…The accurately predicted capability of the generated models may considerably minimize experimental efforts, such as estimating CO2 removal efficiency as the target based on adsorbent properties to pick more efficient adsorbents without increasing processing time. …”
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