Image-Collection Summarization Using Scene-Graph Generation With External Knowledge by Itthisak Phueaksri, Marc A. Kastner, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide

“…In recent years, scene-graph generation has shown the advantage of describing the visual contexts of a single-image, and incorporating external knowledge into the scene-graph generation model has also given effective directions for unseen single-image scene-graph generation. …”
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CapGAN: Text-to-Image Synthesis Using Capsule GANs by Maryam Omar, Hafeez Ur Rehman, Omar Bin Samin, Moutaz Alazab, Gianfranco Politano, Alfredo Benso

“…Text-to-image synthesis is one of the most critical and challenging problems of generative modeling. It is of substantial importance in the area of automatic learning, especially for image creation, modification, analysis and optimization. …”
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Latent state space models for prediction by Wanigasekara, Prashan

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Venture : an extensible platform for probabilistic meta-programming by Lu, Anthony (Anthony S.)

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Stripping of the Hot Gas Halos in Member Galaxies of Abell 1795 by Wagner, Cory R., McDonald, Michael A., Courteau, Stéphane

“…Surface brightness profiles of inner and outer cluster members are fit using Markov chain Monte Carlo sampling in order to generate model parameters and measure the 0.5-1.5 keV luminosities of each model component. …”
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Sector coupling via hydrogen to lower the cost of energy system decarbonization by He, Guannan, Mallapragada, Dharik S, Bose, Abhishek, Heuberger-Austin, Clara F, Gençer, Emre

“…There is growing interest in using hydrogen (H2) as a long-duration energy storage resource in a future electric grid dominated by variable renewable energy (VRE) generation. Modeling H2 use exclusively for grid-scale energy storage, often referred to as “power-to-gas-to-power (P2G2P)”, overlooks the cost-sharing and CO2 emission benefits from using the deployed H2 assets to decarbonize other end-use sectors where direct electrification is challenging. …”
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Quantum Chemistry Meets Machine Learning: Autonomous Computational Workflow for Chemical Discovery by Duan, Chenru

“…Together with machine learning (ML) models trained on these data sets as either surrogate function approximations or generative models, accelerated chemical discovery for functional molecules and materials are achieved. …”
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Natively probabilistic computation by Mansinghka, Vikash Kumar

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Four essays in financial economics by Jin, Li, 1970-

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EVALUASI KINERJA INSTALASI PENGOLAHAN AIR LIMBAH PABRIK KARET PT. BKP KABUPATEN TANAH LAUT KALIMANTAN SELATAN DAN SIMULASI DAMPAK KERUSAKAN TERHADAP KUALITAS SUNGAI KARUH DENGAN QU... by , Muhammad Baehaqi, , Dr. Dwi Siswanto

“…In order to validate the generated model, an analysis of Karuh river water samples quality parameters has been conducted at 4 points on the distance range of 4 km from the waste disposal point of PT BKP. …”

ANALISIS RENCANA PEMODELAN AKSES JALAN BARU DI YOGYAKARTA (STUDI KASUS : MENGHUBUNGKAN JALAN COLOMBO DENGAN JALAN URIP SUMAHARJO) by , YUDISTIRA OKTOBARI HELIANTO P, , Ir. Djoko Murwono M.Sc

“…In the design of transport used four stages: trip generation models use growth factors. Distribution movement models using an analogy with the limits for a generation, while the selection mode stages using the survey results. …”

Model penjanaan hasil bukan cukai melalui eksploitasi aset tak alih pihak berkuasa tempatan by Berahim, Nur

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Multisensory decision-making: Spatiotemporal dynamics and computational principles by Cao, Y

“…<p>Humans have evolved to fuse information across senses by weighing the reliability of each modality (e.g., a viewer relies more on the picture to follow a drama if the TV audio is faulty; Ernst &amp; Banks, 2002) as well as to infer unseen causes of sensory events by inverting internal generative models of the world (causal inference or CI: “Was the film dubbed or not?”). …”

Explicit physics-informed neural networks for nonlinear closure: The case of transport in tissues by Taghizadeh, E, Byrne, HM, Wood, BD

“…We find the trained networks that include the macroscale source terms generate models that are able to predict the correction factor with increased fidelity over those that do not. …”

Simulation of future daily rainfall scenario using stochastic rainfall generator for a rice-growing irrigation scheme in Malaysia by Dlamini, N. S., Rowshon, M. K., Saha, Ujjwal, Lai, S. H., Fikri, A., Zubaidi, J.

“…The stochastic rainfall generator model (WGEN), never applied in Malaysia before, was adopted for downscaling and simulation of future daily rainfall using 16 simulations developed from 10 GCMs driven by the latest Representative Concentration Pathways scenarios (RCPs), 6.0 and 8.5 for two future periods (2030s and 2060s). …”
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Investigation On Nasal Airflow Of Malaysian Females Using Cfd by Lee, Chih Fang

“…This proves that the generated model can represent an average and standardized model of an adult Malaysian female. …”
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Identification and modelling of two phase dc-dc boost converter based on autoregressive moving average with exogenous, output-error and transfer function model structures by Noor Amran, Mohd Azlee

“…This research focused more on the system identification approach to generate mathematical models from the open-loop response. The generated models were from the TF, ARMAX and OE model structures. …”
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Hub angle control of flexible manipulator based on bacterial foraging optimization by Mohd. Salme, Muhammad Nazri, Hadi, Muhamad Sukri, Jamali, Annisa, Mohd. Yatim, Hanim, Ab. Talib, Mat Hussin, Mat Darus, Intan Zaurah

“…Bacterial Foraging Optimization (BFO) is used to develop the modelling by SI technique to obtain the mathematical models. The generated model’s performance is assessed using three methods: minimum mean square error (MSE), correlation tests, and stability test in pole-zero diagram. …”

Model penjanaan hasil bukan cukai melalui eksploitasi aset tak alih pihak berkuasa tempatan by Berahim, Nur

“…These three components form a non-tax revenue generation model through the exploitation of immovable asset, becoming a new discovery that may support the improvement of LAs financial resources through non-tax revenue.…”
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Establishment of UGT1A1-knockout human iPS-derived hepatic organoids for UGT1A1-specific kinetics and toxicity evaluation by Tomohiro Shintani, Chiharu Imamura, Yukiko Ueyama-Toba, Jumpei Inui, Akira Watanabe, Hiroyuki Mizuguchi

“…Thus, we succeeded in generating model cells that enable evaluation of UGT1A1-specific kinetics and toxicity.…”
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