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Optical Memory and Neural Networks最新文献

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Review on Pest Detection and Classification in Agricultural Environments Using Image-Based Deep Learning Models and Its Challenges 基于图像的深度学习模型在农业环境中的害虫检测和分类及其挑战综述
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23040112
P. Venkatasaichandrakanth, M. Iyapparaja
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引用次数: 0
Plant Foliage Disease Diagnosis Using Light-Weight Efficient Sequential CNN Model 利用轻量高效序列 CNN 模型诊断植物叶面病害
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23040100
Raj Kumar, A. Chug, Amit Prakash Singh
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引用次数: 0
Far Resonance Kapitza-Dirac Diffraction: from Raman-Nath to Bragg and Multiple Beam Atomic Interferometer 远共振卡皮查-迪拉克衍射:从拉曼-纳特到布拉格和多光束原子干涉仪
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23070159

Abstract

Near-resonant Kapitza–Dirac diffraction theory is extended out of familiar Raman–Nath approximation. New solutions with initial superposition of equidistant momentum states, applied to one- and two-optical grating atom interferometer schemes, reveals certain output patterns, usable as large-area multiple beam atom interferometer.

摘要 近共振 Kapitza-Dirac 衍射理论是从我们熟悉的拉曼-纳特近似中扩展出来的。将等距动量态初始叠加的新方案应用于单光栅和双光栅原子干涉仪方案,揭示了某些输出模式,可用作大面积多光束原子干涉仪。
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引用次数: 0
Anti-Site Defects and Trigonal Center of Holmium in Y3Al5O12:Ho3+ Crystal According to the Results of Wideband EPR Spectroscopy 宽带 EPR 光谱结果显示 Y3Al5O12:Ho3+ 晶体中的反位缺陷和钬的三正交中心
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23070044

Abstract

EPR spectra of Ho3+ impurity ions were recorded in single crystals of yttrium aluminum garnet (Y3Al5O12, YAG) in the frequency range of 114–410 GHz, at a temperature of 4.2 K. Besides the centers due to unusual substitutions by Y3+ for Al3+ ions (anti-site defects), a trigonal center was found, which indicates the replacement of Al3+ ions by Ho3+ ions in octahedral positions with local symmetry C3i. The magnitude of g-factor, the hyperfine structure constant and the energy interval between the main and the first excited sublevel of the main 5I8 muliplet were determined. A comparative analysis of the formation of satellite centers for crystals grown under different conditions is made.

摘要 在温度为 4.2 K 的钇铝石榴石(Y3Al5O12,YAG)单晶中记录了频率范围为 114-410 GHz 的 Ho3+ 杂质离子的 EPR 光谱。除了由于 Y3+ 对 Al3+ 离子的不寻常置换(反位缺陷)而产生的中心外,还发现了一个三棱中心,表明在局部对称性为 C3i 的八面体位置上由 Ho3+ 离子置换了 Al3+ 离子。测定了 g 因子的大小、超频结构常数以及主 5I8 子级的主级和第一个激发子级之间的能量间隔。对在不同条件下生长的晶体形成卫星中心的情况进行了比较分析。
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引用次数: 0
Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask Generation 研究在基于反向光刻技术的 90 纳米光掩膜生成中使用 U-Net、Erf-Net 和 DeepLabV3 架构的效率
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23040094
I. M. Karandashev, G. S. Teplov, A. A. Karmanov, V. Keremet, A. Kuzovkov
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引用次数: 0
Development of Prediction Models for Vulnerable Road User Accident Severity 开发易受伤害道路使用者事故严重程度预测模型
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23040082
Saurabh Jaglan, Sunita Kumari, Praveen Aggarwal
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引用次数: 0
Enhancement of Knowledge Distillation via Non-Linear Feature Alignment 通过非线性特征对齐加强知识提炼
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23040136
Jiangxiao Zhang, Feng Gao, Lina Huo, Hongliang Wang, Ying Dang
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引用次数: 0
Lessen Pressure Drop and Forecasting Thermal Performance in U-Tube Heat Exchanger Using Chimp Optimization and Deep Belief Neural Network 利用 "黑猩猩优化 "和 "深度信念神经网络 "降低 U 型管式热交换器的压降并预测热性能
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23040033
Shailandra Kumar Prasad, Mrityunjay Kumar Sinha
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引用次数: 0
Information Added U-Net with Sharp Block for Nucleus Segmentation of Histopathology Images 用于组织病理学图像细胞核分割的带有锐块的信息添加 U-Net
IF 0.9 Q3 Computer Science Pub Date : 2023-12-01 DOI: 10.3103/s1060992x23040070
Anusua Basu, Mainak Deb, Arunita Das, K. G. Dhal
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引用次数: 0
Application of the Variational Principle to Create a Measurable Assessment of the Relevance of Objects Included in Training Databases 应用变分原理对训练数据库中包含的对象的相关性进行可测量评估
IF 0.9 Q3 Computer Science Pub Date : 2023-11-28 DOI: 10.3103/S1060992X23060024
V. A. Antonets, M. A. Antonets

We consider the problem of obtaining a measurable assessment of the quality of empirical training data selected by experts. This problem can be solved in those cases where the data can be displayed in the form of histograms. This class includes any diagrams of frequency of occurrence of linguistic objects in samples, for example, lemmas in a text. It also includes discretized temporal signals from different branches of science, technology, and medicine. The proposed method, as well as other known methods, is based on the use of weight functions. With its help, the weight of each histogram is defined as the sum over all its columns of the products of column height by the value of weight function for the corresponding column. However, in contrast to the well-known approaches, the weight function in the proposed approach is not found empirically, but on the basis of the following variation principle. The weight function is considered optimal if the weight of the lightest histogram found with its help is greater than or equal to the weight of the lightest histogram determined by any other weight function. The application of the developed approach to the task of thematic classification of ad texts on electronic trading floors showed that for the selected topics approximately 90% of the lemmas (words) encountered in the training corpus had the weight equal to zero, and almost all words with nonzero weight were semantically related to the topic.

我们考虑的问题是获得由专家选择的经验训练数据质量的可测量评估。在数据可以以直方图的形式显示的情况下,可以解决这个问题。本课程包括样本中语言对象出现频率的图表,例如文本中的引理。它还包括来自不同科学、技术和医学分支的离散时间信号。所提出的方法,以及其他已知的方法,是基于权函数的使用。在它的帮助下,每个直方图的权重被定义为所有列的列高乘积与相应列的权重函数值的总和。然而,与众所周知的方法相比,所提出的方法中的权重函数不是经验发现的,而是基于以下变分原理。如果在其帮助下找到的最轻直方图的权重大于或等于由任何其他权重函数确定的最轻直方图的权重,则认为该权重函数是最优的。将所开发的方法应用于电子交易大厅广告文本的主题分类任务表明,对于所选主题,训练语料库中遇到的约90%的词(词)的权重等于零,并且几乎所有非零权重的词都与主题在语义上相关。
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引用次数: 0
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Optical Memory and Neural Networks
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