標(biāo)題: Titlebook: Industrial Crystallization; Process Simulation A Narayan S. Tavare Book 1995 Springer Science+Business Media New York 1995 crystal.crystall [打印本頁] 作者: 熱情美女 時(shí)間: 2025-3-21 19:38
書目名稱Industrial Crystallization影響因子(影響力)
作者: 男生如果明白 時(shí)間: 2025-3-21 22:13
Narayan S. Tavarecrease the quality of real-world low-resolution images. We have applied the proposed pipeline for the problem of face super-resolution where we report large improvement over baselines and prior work although the proposed method is potentially applicable to other object categories.作者: grotto 時(shí)間: 2025-3-22 01:07
Narayan S. Tavarecessing of RGB-D data with . includes noise and temporal flickering removal, hole filling and resampling. As a substitute of the observed scene, our . can additionally be applied to compression and scene reconstruction. We present experiments performed with our framework in indoor scenes of differen作者: 拾落穗 時(shí)間: 2025-3-22 05:20 作者: 營養(yǎng) 時(shí)間: 2025-3-22 09:01
Narayan S. Tavare joint locations to estimate a sequence of 3D poses. We designed a sequence-to-sequence network composed of layer-normalized LSTM units with shortcut connections connecting the input to the output on the decoder side and imposed temporal smoothness constraint during training. We found that the knowl作者: CHAR 時(shí)間: 2025-3-22 13:19 作者: Goblet-Cells 時(shí)間: 2025-3-22 17:20
Narayan S. Tavareize the elements of the feature pool to a uniform size and aggregate their contextual information to generate each level of the final FP. The experimental results confirmed that PFPNet increases the performance of the latest version of the single-shot multi-box detector (SSD) by mAP of 6.4% AP and e作者: LAITY 時(shí)間: 2025-3-22 22:06 作者: Dawdle 時(shí)間: 2025-3-23 03:21
Narayan S. Tavare TPN with bi-directional training on pairs of frames. We apply the switchable TPN to three tasks: colorizing a gray-scale video based on a few colored key-frames, generating an HDR video from a low dynamic range (LDR) video and a few HDR frames, and propagating a segmentation mask from the first fra作者: 泥瓦匠 時(shí)間: 2025-3-23 07:33
Narayan S. Tavareproposed to predict the labels of unlabeled image sequences. With the newly estimated labeled sequences, the unified anchor embedding framework enables the feature learning process to be further facilitated. Extensive experimental results on the large-scale dataset show that the proposed method outp作者: JUST 時(shí)間: 2025-3-23 09:47
Narayan S. Tavareheir sizes. We also propose efficient training and inference algorithms, making it possible to train deeper and wider X-Nets effectively..Expander based models give a . improvement in accuracy on MobileNet over grouped convolutions, a popular technique, which has the same sparsity but worse connecti作者: CURB 時(shí)間: 2025-3-23 16:07 作者: 拋射物 時(shí)間: 2025-3-23 21:41
Narayan S. Tavareeved by . learning because we sample training pairs from both the source and target domains. On Market-1501, DukeMTMC-reID and CUHK03, we show that the two properties contribute indispensably and that very competitive re-ID UDA accuracy is achieved. Code is available at: ..作者: covert 時(shí)間: 2025-3-24 00:02 作者: 平 時(shí)間: 2025-3-24 04:58
Crystallization Kinetics,e does not measure process rate directly, but only arrives at its values by some combination of measurement and theory. The rate of change follows the dictionary definition as familiar from the calculus, has derivative character, and is subject to measurement.作者: 向外供接觸 時(shí)間: 2025-3-24 09:29 作者: penance 時(shí)間: 2025-3-24 10:59 作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-24 18:34
978-1-4899-0235-1Springer Science+Business Media New York 1995作者: 高調(diào) 時(shí)間: 2025-3-24 19:00
Industrial Crystallization978-1-4899-0233-7Series ISSN 1566-7944 作者: Ganglion-Cyst 時(shí)間: 2025-3-24 23:14 作者: squander 時(shí)間: 2025-3-25 03:57
The Plenum Chemical Engineering Serieshttp://image.papertrans.cn/i/image/463975.jpg作者: 戰(zhàn)勝 時(shí)間: 2025-3-25 07:31 作者: etiquette 時(shí)間: 2025-3-25 14:06 作者: Nmda-Receptor 時(shí)間: 2025-3-25 18:52
Thermodynamic Aspects,rst such information that should be known about the crystallizing system and are often key to the industrial operation. They not only provide useful guidelines for the method of supersaturation generation and choice of a crystallizer system, but also help determine the maximum possible yield of crys作者: 割公牛膨脹 時(shí)間: 2025-3-25 21:32 作者: 和平主義 時(shí)間: 2025-3-26 01:05 作者: Exclaim 時(shí)間: 2025-3-26 08:15
Batch Crystallizer, useful in small-scale operations, especially when working with chemical systems that are difficult to handle, due perhaps to their highly viscous or toxic properties. They are simple and flexible in operations, requiring less capital investment, and generally involve less process development than t作者: heart-murmur 時(shí)間: 2025-3-26 11:53 作者: Diastole 時(shí)間: 2025-3-26 15:10
Semibatch Crystallizer,ch crystallizers, they are generally useful in small-scale operations as they are simple, flexible, require less investment, and generally involve less process development. As well as being an important mode of operation, semibatch operation may result from the dynamic conditions that arise either i作者: 發(fā)生 時(shí)間: 2025-3-26 18:58 作者: Range-Of-Motion 時(shí)間: 2025-3-26 22:12 作者: evince 時(shí)間: 2025-3-27 03:06 作者: Sleep-Paralysis 時(shí)間: 2025-3-27 06:26
Crystallizer Design and Operation, the sizing of equipment for the desired functional duties under a given set of conditions, incorporating an element of economics in the procedure. Sizing of equipment, as discussed in this chapter, is restricted to the process engineering design. In the context of crystallizers and crystallization 作者: Perceive 時(shí)間: 2025-3-27 12:39 作者: 賞心悅目 時(shí)間: 2025-3-27 14:25
prohibitive to perform on all sensory inputs. In computer vision, however, there has been relatively little exploration of . attention, where some information is selectively ignored, in spite of the success of . attention, where information is re-weighted and aggregated, but never filtered out. Her作者: prodrome 時(shí)間: 2025-3-27 19:39
Narayan S. Tavarelution images which are artificially generated by simple bilinear down-sampling (or in a few cases by blurring followed by down-sampling). We show that such methods fail to produce good results when applied to real-world low-resolution, low quality images. To circumvent this problem, we propose a tw作者: 莊嚴(yán) 時(shí)間: 2025-3-27 22:33
Narayan S. Tavare, with applications ranging from modeling to robotics, through augmented reality. Nevertheless, their use is limited by their low resolution, with frames often corrupted with noise, missing data and temporal inconsistencies. Our approach, named ., consists in generating and updating through time a s作者: MANIA 時(shí)間: 2025-3-28 06:03
Narayan S. Tavareed many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict from images directly, the top-performing approaches have shown the effectiveness of dividing the task of 3D pose estimation into two steps: using a state-of-the-art 2D pose estimator to estimate the 作者: 同義聯(lián)想法 時(shí)間: 2025-3-28 09:47 作者: champaign 時(shí)間: 2025-3-28 13:01
Narayan S. Tavareative patterns. Nevertheless, a video sequence could also contain a lot of redundant and irrelevant frames. How to locate critical information of interest is a challenging task. In this paper, we propose a new network structure, known as Redundancy Reduction Attention (RRA), which learns to focus on作者: Accede 時(shí)間: 2025-3-28 16:02 作者: Charade 時(shí)間: 2025-3-28 21:05 作者: Champion 時(shí)間: 2025-3-28 23:04
Narayan S. Tavares explored for more advanced video processing. In this paper, we propose a learnable unified framework for propagating a variety of visual properties of video images, including but not limited to color, high dynamic range (HDR), and segmentation mask, where the properties are available for only a fe作者: 尾巴 時(shí)間: 2025-3-29 04:23 作者: 傻 時(shí)間: 2025-3-29 11:00 作者: 辯論 時(shí)間: 2025-3-29 15:02 作者: finale 時(shí)間: 2025-3-29 15:51
Narayan S. Tavarens) are entirely different and that image variations are largely caused by cameras. Given a labeled source training set and an unlabeled target training set, we aim to improve the generalization ability of re-ID models on the target testing set. To this end, we introduce a Hetero-Homogeneous Learnin作者: 痛得哭了 時(shí)間: 2025-3-29 22:59 作者: Antigen 時(shí)間: 2025-3-30 00:45
Continuous Crystallizers,mmodity crystalline products because they can be operated at the desired operating conditions under steady state, thus yielding constant product quality. Since the early sixties, the steady-state continuous crystallizer studies have been used in the laboratory for industrial crystallization research.作者: Glower 時(shí)間: 2025-3-30 04:36 作者: 包裹 時(shí)間: 2025-3-30 08:17
