Results 41 to 50 of about 61,045 (270)

Ternarno višekomponentno modeliranje adsorpcije primjenom ANN-a, LS-SVR-a i SVR-a – studija slučaja [PDF]

, 2021
The aim of this work was to develop three artificial intelligence-based methods to model the ternary adsorption of heavy metal ions {Pb2+, Hg2+, Cd2+, Cu2+, Zn2+, Ni2+, Cr4+} on different adsorbates {activated carbon, chitosan, Danish peat, Heilongjiang ...
Amina Yettou, Omar Khaldi, Hentabli, Mohamed, Abdelmadjid El Bey, Mihoub Abderrahim, Laidi, Maamar, Maamar Laidi, Khaldi, Omar, Salah Hanini, El Bey, Abdelmadjid, Abderrahim, Mihoub, Mohamed Hentabli, Yettou, Amina, Hanini, Salah   +13 more
core   +2 more sources

Forecasting Spare Parts Demand for Critical Rail Transit Vehicle Equipment Based on ARIMA-SVR Model

Chengshi guidao jiaotong yanjiu
［Objective］ Accurately forecasting the demand for spare parts during critical rail transit vehicle equipment maintenance provides a foundation for scientific spare parts management and improves maintenance cost-efficiency.
WANG Yuelong, LIU Peng, YAO Weijun
doaj   +1 more source

The reliability and validity of the Sexual Violence Risk-20 (SVR-20): An International Review [PDF]

, 2009
This article reports on the current state of research about the most commonly used Structured Professional Judgement (SPJ) guidelines for sexual offender risk assessment, the Sexual Violence Risk-20 (SVR-20).
Hucker, Stephen J., Eher, Reinhard, Rettenberger, Martin, Boer, Douglas Pieter   +3 more
core  

Post treatment QoL—SVR vs. no SVR.

, 2016
Post treatment QoL—SVR vs. no SVR.
Christian Krauth (3144804), Stefan Mauss (143062), Siegbert Rossol (3144807), Klaus H. W. Böker (642894), Christine John (839705), Jona T. Stahmeyer (3144813), Ralph Link (642892), Harald-Robert Bruch (3144795), Renate Heyne (3144798), Eckart Schott (320945), Heike Pfeiffer-Vornkahl (778025), Christoph Eisenbach (3144801), Dietrich Hüppe (631965), Florian Bert (3144810)   +13 more
core   +1 more source

Deciphering the Photopolymerization‐Induced Nanostructures and Interface Formation for Submicrometer Additive Manufacturing

Advanced Functional Materials, EarlyView.
This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen, Yufeng Zhai, Jungui Zhou, Lixing Li, Simon Schraad, Guangjiu Pan, Xuehe Jiang, Sarathlal Koyiloth Vayalil, Rolf A. T. M. van Benthem, Julien R. G. Navarro, Johan F. G. A. Jansen, Mats K. G. Johansson, Peter Müller‐Buschbaum, Stephan V. Roth   +13 more
wiley   +1 more source

Optimized Ensemble Support Vector Regression Models for Predicting Stock Prices with Multiple Kernels

Acta Informatica Pragensia
Stock forecasting is a complicated and daily challenge for investors because of the non-linearity of the market and the high volatility of financial assets such as stocks, bonds and other commodities.
Subba Reddy Thumu, Geethanjali Nellore
doaj   +1 more source

برآورد محاسباتی واحدهای رنگی L*a*b* از RGB با کمک پردازش تصاویر دیجیتالی [PDF]

مجله پژوهش‌های علوم و صنایع غذایی ایران, 2017
رنگ اولین ویژگی کیفیت مواد غذایی است که توسط مصرف کنندگان مورد بررسی قرار می گیرد. اندازه گیری رنگ مواد غذایی به‌عنوان یک شاخص غیرمستقیم در اندازه گیری دیگر ویژگی های کیفیتی مانند عطر و طعم و محتویات رنگدانه به دلیل سرعت و سادگی در اندازه گیری، و همچنین ...
سامان آبدانان مهدی زاده, سمیه امرایی   +1 more
doaj   +1 more source

Predicting results of SVR.

, 2022
Predicting results of SVR.
Hao Lu (354247), Ting Shang (8231649), Jing Fan (149601), Jiaxin Lu (7586831)   +3 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Performance comparison of SVR, HNN with SVR-HNN.

, 2018
Performance comparison of SVR, HNN with SVR-HNN.
Khawaja M. Asim (5484725), Adnan Idris (5484731), Francisco Martínez-Álvarez (5484722), Talat Iqbal (5484728)   +3 more
core   +1 more source