Neural Plasticity in Common Forms of Chronic Headaches by Tzu-Hsien Lai, Ekaterina Protsenko, Yu-Chen Cheng, Marco L. Loggia, Gianluca Coppola, Wei-Ta Chen

“…Neural Plasticity…”
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ℋ∞ Stability Conditions for Fuzzy Neural Networks by Choon Ki Ahn

“…This paper presents a novel approach to assess the stability of fuzzy neural networks. First, we propose a new condition for the ℋ∞ stability of fuzzy neural networks. …”
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The neural codes of conscious perception and working memory by Álvaro Deleglise, Mauricio Cervigni

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Normal Families of Zero-Free Meromorphic Functions by Yuntong Li

“…Let ℱ be a family of zero-free meromorphic functions defined in a domain 𝒟 such that for each 𝑓∈ℱ, 𝑓+𝑎(𝑓(𝑘))𝑛−𝑏 has at most 𝑛𝑘 zeros, ignoring multiplicity. Then ℱ is normal in 𝒟.…”
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Free-space optical spiking neural network by Reyhane Ahmadi, Amirreza Ahmadnejad, Somayyeh Koohi

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Free-space optical spiking neural network. by Reyhane Ahmadi, Amirreza Ahmadnejad, Somayyeh Koohi

“…Among the various Optical Neural Networks (ONNs) explored within the realm of optical neuromorphic engineering, Spiking Neural Networks (SNNs) have exhibited notable success in emulating the computational principles of the human brain. …”
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Academic progress monitoring through neural network by Ramri Shukla, Bardia Khalilian, Sara Partouvi

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Attention-Aware Heterogeneous Graph Neural Network by Jintao Zhang, Quan Xu

Subjects: “…graph neural network (gnn)…”
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Regressions on quantum neural networks at maximal expressivity by Iván Panadero, Yue Ban, Hilario Espinós, Ricardo Puebla, Jorge Casanova, Erik Torrontegui

Subjects: “…Quantum neural networks…”
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Cognition: Differential-geometrical view on neural networks by S. A. Buffalov

Subjects: “…Neural network…”
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Computing nasalance with MFCCs and Convolutional Neural Networks. by Andrés Lozano, Enrique Nava, María Dolores García Méndez, Ignacio Moreno-Torres

“…A new approach is proposed to compute nasalance using Convolutional Neural Networks (CNNs) trained with Mel-Frequency Cepstrum Coefficients (mfccNasalance). mfccNasalance is evaluated by examining its accuracy: 1) when the train and test data are from the same or from different dialects; 2) with test data that differs in dynamicity (e.g. rapidly produced diadochokinetic syllables versus short words); and 3) using multiple CNN configurations (i.e. kernel shape and use of 1 × 1 pointwise convolution). …”
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Bearing Defect Detection with Unsupervised Neural Networks by Jianqiao Xu, Zhaolu Zuo, Danchao Wu, Bing Li, Xiaoni Li, Deyi Kong

“…The experiment of the unsupervised neural networks shows that the AUC of the model is 0.9721. …”
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The neural basis of self-ambivalence: an ERP study by Dian Chen, Ying Liu, Yulin Zhang, Yiting Guo

“…Abstract The primary objective of this study was to investigate the neural basis of self-ambivalence, a phenomenon firmly established by behavioral research but whose underlying brain mechanisms have been less explored. …”
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L’Abusé en cour, Le Curial by Stéphane Marcotte

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Auditory Neural Plasticity in Tinnitus Mechanisms and Management by Kunkun Wang, Dongmei Tang, Jiaoyao Ma, Shan Sun

“…Neural Plasticity…”
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Neural network-based link prediction algorithm by Yonghao PAN, Hongtao YU, Shuxin LIU

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Survey on backdoor attacks targeted on neural network by Qingyin TAN, Yingming ZENG, Ye HAN, Yijing LIU, Zheli LIU

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Isolation and Identification of Fungal Species Contaminating the Refrigerators by Hiba Hadi Taha, Faten Noori Mula Abed, Jehaan Mowfak Al-Rawi

Subjects: “…Fungal Contamination…”
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Evolving　Fuzzy　Neural　Networks　for　Extracting　Rules by He Zhenya Yao Susu Wei Chengjian (Department of Radio Engineering, Southeast University, Nanjing 210096)

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MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK by VALENTIN STOYANOV, IVAYLO STOYANOV, TEODOR ILIEV

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