Analisis Sentimen Kebijakan New Normal dengan Menggunakan Automated Lexicon Senti N-Gram by Rifki Akbar Siregar, Yuita Arum Sari, Indriati Indriati

“…Jurnal Teknologi Informasi dan Ilmu Komputer…”
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Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network by Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song

“…In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. …”
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Applying Neural Networks to Hyperspectral and Multispectral Field Data for Discrimination of Cruciferous Weeds in Winter Crops by Ana-Isabel de Castro, Montserrat Jurado-Expósito, María-Teresa Gómez-Casero, Francisca López-Granados

“…To identify differences in reflectance between cruciferous weeds, we applied three classification methods: stepwise discriminant (STEPDISC) analysis and two neural networks, specifically, multilayer perceptron (MLP) and radial basis function (RBF). …”
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Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations by Imelda Romero, Jannes Nys, Giuseppe Carleo

“…Abstract Neural networks have shown to be a powerful tool to represent the ground state of quantum many-body systems, including fermionic systems. …”
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Modelo dinámico para la generación de pronóstico usando redes neurales artificiales (RNA) by Miguel Vera, Juan Bustamante

Subjects: “…red neural…”
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Expression of Concern: “Support vector machine and neural network for enhanced classification algorithm in ecological data”

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Challenges and Frugal Remedies for Lowering Facility Based Neonatal Mortality and Morbidity: A Comparative Study by Hippolite O. Amadi, Akin O. Osibogun, Olateju Eyinade, Mohammed B. Kawuwa, Angela C. Uwakwem, Maryann U. Ibekwe, Peter Alabi, Chinyere Ezeaka, Dada G. Eleshin, Mike O. Ibadin

“…A collaborative outreach was initiated to devise frugal measures that could reduce neonatal deaths in Nigeria. …”
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A Novel Neural Network-Based Approach Comparable to High-Precision Finite Difference Methods by Fanghua Pei, Fujun Cao, Yongbin Ge

Subjects: “…neural network…”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…The results revealed that research primarily focuses on Convolutional Neural Networks (CNNs) and their variants, with a strong emphasis on transfer learning using pre-trained models. …”
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Magnesium ions regulate the Warburg effect to promote the differentiation of enteric neural crest cells into neurons by Qiongqian Xu, Xixi He, Yaru Mou, Dong Sun, Xintao Zhang, Jichang Han, Xiaoyang Liu, Xingjian Liu, Xue Ren, Dongming Wang, Jian Wang, Chuncan Ma, Qiangye Zhang, Aiwu Li

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Periodic Solutions of a Cohen-Grossberg-Type BAM Neural Networks with Distributed Delays and Impulses by Qiming Liu, Rui Xu

“…A class of Cohen-Grossberg-type BAM neural networks with distributed delays and impulses are investigated in this paper. …”
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Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect by Qikui Zhu, Bo Du, Baris Turkbey, Peter Choyke, Pingkun Yan

“…To tackle this problem, in this paper, we propose a deep neural network with bidirectional convolutional recurrent layers for MRI prostate image segmentation. …”
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Comment on “Intrapartum Intrauterine Fetal Demise with Normal Umbilical Cord Blood Gas Values at Birth” by Jeffrey J. Pomerance

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Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network by Luxin Jiang, Xiaohui Wang

“…In the evaluation of teaching quality, aiming at the shortcomings of slow convergence of BP neural network and easy to fall into local optimum, an online teaching quality evaluation model based on analytic hierarchy process (AHP) and particle swarm optimization BP neural network (PSO-BP) is proposed. …”
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Subgaleal drainage with one burr-hole for chronic subdural hematomas: Our two-years’ experience by Franziska A. Schmidt, Victoria Schön, Ondra Petr, Christian F. Freyschlag, Claudius Thomé

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Valve Fault Diagnosis in Internal Combustion Engines Using Acoustic Emission and Artificial Neural Network by S. M. Jafari, H. Mehdigholi, M. Behzad

“…The experimental results showed that AE is an effective method to detect damage and the type of damage in valves in both of the time and frequency domains. An artificial neural network was trained based on time domain analysis using AE parametric features (AErms, count, absolute AE energy, maximum signal amplitude, and average signal level). …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

Subjects: “…radial basis function neural network (rbfnn)…”
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Antisynchronization and Generalized Pinning Control of Multiweighted Coupled Complex-Valued Delayed Memristive Neural Networks by Limei Su, Yanli Huang

“…In this article, antisynchronization problem of multiweighted coupled complex-valued delayed memristive neural networks (MWCCVDMNNs) with and without coupling delays are investigated. …”
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Sex Differences in Vascular Compliance in Normal-Weight but Not Obese Boys and Girls: The Effect of Body Composition by Jeanie B. Tryggestad, David M. Thompson, Kenneth C. Copeland, Kevin R. Short

“…Participants were 61 (30 boys) normal-weight (BMI 25–75% ile for age and sex) and 62 (30 boys) obese (BMI ≥ 95% ile) children of ages 8–18 years. …”
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Bridge Seismic Damage Assessment Model Applying Artificial Neural Networks and the Random Forest Algorithm by Hanxi Jia, Junqi Lin, Jinlong Liu

“…This paper proposed a rapid assessment method for bridge seismic damage based on the random forest algorithm (RF) and artificial neural networks (ANN). This method evaluated the relative importance of each uncertain influencing factor of the seismic damage to the girder bridges and arch bridges, respectively. …”
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