Innovative development of organizations: integral parts and influencing factors by G.T. Piatnytska

“…Proposed currently to distinguish six existing and one new (not formed ) generation models of the innovation process. On the results of a comparative analysis of these models characteristics outlined their main disadvantages and probability prospects for their further development.The results of this research could be basis for improving or development of new innovation process models, taking into account changes of external environment of organizations and the need to get rid of the disadvantages in models of previous generations.…”
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A Capability Fitting and Data Reconstruction Model Based on Particle Swarm Optimization-Bidirectional Deep Neural Network for Search and Rescue System of Systems by Yan Gao, Hu Liu, Fu Niu, Yongliang Tian

“…And the feasibility of this model as a reconstruction data generation model and the effectiveness of this model as an analysis data extension method applied to the sensitivity analysis of insufficient data to obtain reliable analysis results are verified.…”
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Research on video AI recognition technology for abnormal state of coal mine belt conveyors by MAO Qinghua, GUO Wenjin, ZHAI Jiao, WANG Rongquan, SHANG Xinmang, LI Shikun, XUE Xusheng

“…To address the issue of long construction time-consumption of video image datasets, a solution is proposed to strengthen the research on video AI recognition algorithms based on semi supervised, unsupervised, and small sample learning, and to expand the dataset based on generative models. To address the issue of low precision of abnormal state recognition, a solution is proposed to strengthen research on data deblurring methods, and to utilize algorithms such as generative adversarial networks to balance positive and negative samples, and improve AI recognition algorithms. …”
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Growth Relationships in Silver Fir Stands at Their Lower-Altitude Limit in Romania by Gheorghe-Marian Tudoran, Avram Cicșa, Albert Ciceu, Alexandru-Claudiu Dobre

“…For <i>CAI_h</i> we generated models based on the mean tree height. Percentages of the basal area increment and of form-height increment were used to compute the current annual volume increment percentage (<i>PCAI_v</i>). …”
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Closed-Loop Elastic Demand Control under Dynamic Pricing Program in Smart Microgrid Using Super Twisting Sliding Mode Controller by Taimoor Ahmad Khan, Kalim Ullah, Ghulam Hafeez, Imran Khan, Azfar Khalid, Zeeshan Shafiq, Muhammad Usman, Abdul Baseer Qazi

“…The overall demand elasticity of the current study is represented by a first-order dynamic price generation model having a piece-wise linear price-based DR program. …”
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Emulation of a Process-Based Salinity Generator for the Sacramento–San Joaquin Delta of California via Deep Learning by Minxue He, Liheng Zhong, Prabhjot Sandhu, Yu Zhou

“…They are then evaluated for performance in the remaining record period from water year 2003 to 2014 against the process-based boundary salinity generation model across different ranges of salinity in different types of water years. …”
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Complexity of Representation and Inference in Compositional Models with Part Sharing by Yuille, Alan L., Mottaghi, Roozbeh

“…Effectively, this compositional architecture enables us to perform exact inference simultaneously over a large class of generative models of objects.The second contribution is an analysis of the complexity of compositional models in terms of computation time (for serial computers) and numbers of nodes (e.g., ``neurons") for parallel computers. …”
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Chemistry of alkylaromatics in crude oil upgrading by Lai, Lawrence Tin Chi.

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Structural design synthesis using machine learning by Danhaive, Renaud Aleis Pierre Emile.

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Polyelectrolyte multilayer growth factor delivery : mediating tissue/device interactions by Macdonald, Mara Lee

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Surface reconstruction from interferometric ISAR data by Forrester, Neil T

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Smart object counter by Kang, Xinhui

“…It takes 3-4 seconds to generate model output for 1 image, which is more than sufficient for the 60 second interval.…”
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Text2Human: text-driven controllable human image generation by Jiang, Yuming, Yang, Shuai, Qju, Haonan, Wu, Wayne, Loy, Chen Change, Liu, Ziwei

“…However, existing generative models often fall short under the high diversity of clothing shapes and textures. …”
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Towards human-level artificial intelligence agents by Leung, Jonathan Cyril

“…We perform both automatic and human evaluation, and include ChatGPT in the human evaluation as a powerful language generation model to which we can compare. We identify problems with ChatGPT with regards to controllability and usability, and highlight how our proposed method helps mitigate these issues. …”
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Multiple social network integration framework for recommendation across system domain by Khan, Muhammad Murad

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Computational modelling and molecular dynamics simulations of ligand-gated ion channels by Amiri, S, Amiri, Shiva

“…</p><p>To overcome the lack of complete structures of LGICs, a method was developed to generate model structures of membrane proteins by combining their separate domains. …”

Large scale methods for kernels, causal inference and survival modelling by Hu, R

“…We propose an additional regularization objective inspired by kernel two-sample testing to separate high-sellers from low-sellers in latent space for generative models. Experiments demonstrate that we can achieve linear separation in latent space and consequently infer important features using lasso methods.…”

Risk estimation of rocking components subjected to ground motions by Espinosa, M

“…Examples comparing earthquake generation models illustrate the nowadays most optimal method for rocking bodies.…”

Development Of Waste Quantification Models For Malaysian Housing Construction Project Case Study For Brick And Tile Wastes by Hassan, Siti Hafizan

“…For the early estimation, the generated model can predict the amount of brick and tile waste based on the work area from the construction drawing. …”
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Translational animal models for Alzheimer's disease: An Alzheimer's Association Business Consortium Think Tank by Michael P. Vitek, Joseph A. Araujo, Michael Fossel, Barry D. Greenberg, Gareth R. Howell, Stacey J. Sukoff Rizzo, Nicholas T. Seyfried, Andrea J. Tenner, Paul R. Territo, Manfred Windisch, Lisa J. Bain, April Ross, Maria C. Carrillo, Bruce T. Lamb, Rebecca M. Edelmayer

“…To achieve this goal, we convened a meeting of experts to explore the current state of AD animal models, identify knowledge gaps, and recommend actions for development of next‐generation models with better predictability. Among our findings, we all recognize that models reflecting only single aspects of AD pathogenesis do not mimic AD. …”
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