نتایج جستجو برای: transparent predictions

تعداد نتایج: 169456  

2012
Sebastian Briesemeister Jörg Rahnenführer Oliver Kohlbacher

Quantitative predictions in computational life sciences are often based on regression models. The advent of machine learning has led to highly accurate regression models that have gained widespread acceptance. While there are statistical methods available to estimate the global performance of regression models on a test or training dataset, it is often not clear how well this performance transf...

2016
Prachi Pradeep Richard J. Povinelli Shannon White Stephen J. Merrill

Quantitative structure activity relationships (QSARs) are theoretical models that relate a quantitative measure of chemical structure to a physical property or a biological effect. QSAR predictions can be used for chemical risk assessment for protection of human and environmental health, which makes them interesting to regulators, especially in the absence of experimental data. For compatibilit...

H. Ghadiri J. Javanmardi R. Zangoueinejad S. A. Kazemeini

ABSTRACT- To compare the effects of six types of non-living mulches (wheat straw, sawdust, coco peat, peat moss, transparent and black plastic) with metribuzin on yield and yield components of tomato cv "CH" and the weed control efficiency, a study was conducted in a randomized complete block design with three replications at School of Agriculture, Shiraz University in 2012. Plots without mulch...

Journal: Nanomedicine Journal 2016
D. Kaviani M. Hosein Bigtan M. Koonani M. Saghi

Objective(s): Nanoemulsions are a kind of emulsions that can be transparent, translucent (size range 50-200 nm) or “milky” (up to 500 nm). Nanoemulsions are adequatly effective for transfer of active component through skin which facilitate the entrance of the active component . The transparent nature of the system and lack of the thickener and fluidity are among advantages of nanoemulsion. Mate...

ژورنال: مجله پژوهش سلامت 2022

Introduction: Emotional divorce is very common in today's society and leads to negative consequences in the family and society, so the purpose of this study was to investigate the demographic predictions of emotional divorce of couples in Zanjan province. Materials and Methods: This research was descriptive-analytical. The study population was all couples in Zanjan province. The sample size ba...

Journal: :Current opinion in food science 2022

Modelling in food microbiology has become an indispensable approach safety to generate predictions about the microbial behaviour. One of its weaknesses is lack reliable and relevant data for mathematical modelling. The increasing amounts innovative modelling tools have potential provide information on hazard, exposure, surveillance reports. They can be combined reduce time needed perform a risk...

Journal: :Advances in methods and practices in psychological science 2021

Making scientific information machine-readable greatly facilitates its reuse. Many articles have the goal to test a hypothesis, so making tests of statistical predictions easier find and access could be very beneficial. We propose an approach that can used make hypothesis machine-readable. believe there are two benefits specifying in such way computer evaluate whether prediction is corroborated...

Journal: :IEICE Transactions 2010
Seung Hyun Cho Sang Woo Kim Woo Seok Cheong Chunwon Byun Chi-Sun Hwang Kyoung-Ik Cho Byung Seong Bae

Oxide material can make transparent devices with transparent electrodes. We developed a transparent oscillator and rectifier circuits with oxide TFTs. The source/drain and gate electrodes were made by indium thin oxide (ITO), and active layer made by transparent material of IGZO (Indium Gallium Zinc Oxide) on a glass substrate. The RC oscillator was composed of bootstrapped inverters, and 813 k...

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2022

Smoke segmentation is essential to precisely localize wildfire so that it can be extinguished in an early phase. Although deep neural networks have achieved promising results on image tasks, they are prone overconfident for smoke due its non-rigid shape and transparent appearance. This caused by both knowledge level uncertainty limited training data accurate labeling representing the difficulty gr...

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