Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks by Rocco Restaino

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Modal Analysis of Hyperboloidal-type Normal Circular-arc Gear by Zhang Xiaoping, Shi Donghe, Chen Houjun

Subjects: “…Hyperboloidal-type normal circular-arc gear…”
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An intein-split transactivator for intersectional neural imaging and optogenetic manipulation by Hao-Shan Chen, Xiao-Long Zhang, Rong-Rong Yang, Guang-Ling Wang, Xin-Yue Zhu, Yuan-Fang Xu, Dan-Yang Wang, Na Zhang, Shou Qiu, Li-Jie Zhan, Zhi-Ming Shen, Xiao-Hong Xu, Gang Long, Chun Xu

“…Abstract The cell-type-specific recording and manipulation is instrumental to disentangle causal neural mechanisms in physiology and behavior and increasingly requires intersectional control; however, current approaches are largely limited by the number of intersectional features, incompatibility of common effectors and insufficient gene expression. …”
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Neural ODEs for holographic transport models without translation symmetry by Zhuo-Fan Gu, Yu-Kun Yan, Shao-Feng Wu

“…We convert the flow equation to a Neural Ordinary Differential Equation (Neural ODE), which is a neural network with continuous depth and produces output through a black-box ODE solver. …”
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Detection of Antichlamydial Antibody in Patients With Ectopic Pregnancy and Normal Pregnancy by Srwa Jamal Murad

“…The results shows that the mean age of normal pregnancy were (28.3±4.6) group compared with mean age ectopic pregnancy (29.5±4.9) group. …”
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Normal Exophthalmometry Values in Iranian Population: A Meta-analysis by Abbas Bagheri, Kourosh Shahraki, Amir Arabi, Mohsen Bahmani Kashkouli

“…Abstract There are limited studies on the normal values of eye protrusion in Iran. Systematic efforts to provide acceptable normal exophthalmometry values for Iranian population are required for a proper approach to orbital diseases.English and Farsi language publications in PubMed, the ISI Web of Knowledge database, Iranian SID, and Iran Medex were searched using the following keywords: “proptosis”, “eye protrusion”, “exophthalmous”, “Hertel exophthalmometer” and “Iran”. …”
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Ultrasonographic imaging of normal reticulum and traumatic reticuloperitonitis in crossbred cows by Sheikh Imran, Shivali Sharma, Abid Ali Bhat

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Assessment of Artificial Neural Networks for Hourly Solar Radiation Prediction by Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud

“…This paper presents an assessment for the artificial neural network (ANN) based approach for hourly solar radiation prediction. …”
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Neuromorphic, physics-informed spiking neural network for molecular dynamics by Vuong Van Pham, Temoor Muther, Amirmasoud Kalantari Dahaghi

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Scalable Low Power Accelerator for Sparse Recurrent Neural Network by Panshi JIN, Junjie LI, Jingyi WANG, Pengchong LI, Lei XING, Xiaodong LI

“…The use of edge computing devices in bank outlets for passenger flow analysis, security protection, risk prevention and control is increasingly widespread, among which the performance and power consumption of AI reasoning chips have become a very important factor in the selection of edge computing devices.Aiming at the problems of recurrent neural network, such as high power consumption, weak reasoning performance and low energy efficiency, which were caused by data dependence and low data reusability, this paper realized a sparse RNN low-power accelerator with scalable voltage by using FPGA, and verifies it on the edge design and calculation equipment.Firstly, the sparse -RNN was analyzed and the processing array was designed by network compression.Secondly, due to the unbalanced workload of sparse RNN, it introduced voltage scaling method to maintain low power consumption and high throughput.Experiments show that this method could significantly improve the RNN reasoning speed of the system and reduce the processing power consumption of the chip.…”
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Normality Criteria of Meromorphic Functions That Share a Holomorphic Function by Jie Ding, Jianming Qi, Taiying Zhu

“…Suppose that, for every function f∈F, f≠0, P(f)=f(k)+ak-1f(k-1)+⋯+a1f'+a0f≠0 and, for every pair functions (f,g)∈F, P(f), P(g) share ψ, then F is normal in D.…”
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The molecular prognostic scoring system for normal karyotype myelodysplastic syndromes by Wei Wang, Yudi Zhang, Wenli Yang, Xiaozhen Liu, Lingxu Jiang, Wei Lang, Yingwan Luo, Xinping Zhou, Lu Wang, Li Ye, Ying Xu, Liya Ma, Hongyan Tong

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Application of Optimized BP Neural Network In Financial Alert System by Qiaoyi Gao

“…Based on this, main body of a book studies and analyzes the request of optimized BP neural network in financial alert system. Based on the financial early warning and a brief analysis of the development requirements of BP neural network, this paper establishes a financial early warning model for BP neural network. …”
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Estimation of Approximating Rate for Neural Network inLwp Spaces by Jian-Jun Wang, Chan-Yun Yang, Jia Jing

“…The results obtained are helpful in understanding the approximation capability and topology construction of the sigmoidal neural networks.…”
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Study on Ductility of Ti Aluminide Using Artificial Neural Network by R. K. Gupta, Rama Mehta, Vijaya Agarwala, Bhanu Pant, P. P. Sinha

“…Using the reported data, the present paper aims to optimize the experimental conditions through computational modeling using artificial neural network (ANN). Ductility database were prepared, and three parameters, namely, alloy type, grain size, and heat treatment cycle were selected for modeling. …”
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Efficient Artificial Neural Network for Smart Grid Stability Prediction by Saeed Mohsen, Mohit Bajaj, Hossam Kotb, Mukesh Pushkarna, Sadam Alphonse, Sherif S. M. Ghoneim

“…From this perspective, this process is too much time consuming, thus it should predict a smart grid stability via artificial intelligence (e.g., neural networks). Recent advances in the accuracy of neural network have effective solutions to solving the smart grid stability prediction issues, but it remains necessary to develop high performance neural networks that give higher accuracy. …”
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Spectral Characterization of Fungal Metabolites in Aqueous Medium with Humus Substances by D. A. Khundzhua, S. V. Patsaeva, V. A. Terekhova, V. I. Yuzhakov

“…The research is focused on the spectroscopic study of the collection of fungal strains with different pigmentation of mycelium. …”
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Improving deep convolutional neural networks with mixed maxout units by Hui-zhen ZHAO, Fu-xian LIU, Long-yue LI, Chang LUO

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How Much Does AMH Really Vary in Normal Women? by Antonio La Marca, Valentina Grisendi, Georg Griesinger

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Hyphal Growth in Human Fungal Pathogens and Its Role in Virulence by Alexandra Brand

“…Most of the fungal species that infect humans can grow in more than one morphological form but only a subset of pathogens produce filamentous hyphae during the infection process. …”
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