Artificial Neural Network (ANN) Approach to Predict Tensile Properties of Longitudinally Placed Fiber Reinforced Polymeric Composites including Interphase by Sagar Chokshi, Piyush Gohil, Vijay Parmar, Vijaykumar Chaudhary

“…In the present study, Artificial Neural Network (ANN), a computational tool is used to predict the elastic modulus of a composite of longitudinally placed fiber-reinforced polymeric composite. …”
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Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter by S. N. Naikwad, S. V. Dudul

“…A focused time lagged recurrent neural network (FTLR NN) with gamma memory filter is designed to learn the subtle complex dynamics of a typical CSTR process. …”
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Performance evaluation and prediction of optimal operational conditions for a compact date seeds milling unit using feedforward neural networks by Khaled Abdeen Mousa Ali, Changyou Li, Wang Han, Sali Issa, Mohamed Hamdy Eid, Samy F. Mahmoud, Marwa Abd-Elnaby Mohammed

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Artificial Neural Network-Based Identification of Associations between UCP2 and UCP3 Gene Polymorphisms and Meat Quantity Traits by Javed Ahmed Ujjan, Sapna Waheed Memon, Majeeda Ruk, Zuneera Akram, Allahwadhayo Ghoto, Betty Nokobi Dugbakie

“…This research aimed to investigate if any mutation in the UCP 2 and UCP 3 genes are related to many characteristics in Pakistan’s three indigenous cattle breeds using artificial neural network (ANN). For better analysis, the output of the ANN model is loaded into the Primer Premier 3 software. …”
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Design of Ice Tolerance Flight Envelope Protection Control System for UAV Based on LSTM Neural Network for Detecting Icing Severity by Ting Yue, Xianlong Wang, Bo Wang, Shang Tai, Hailiang Liu, Lixin Wang, Feihong Jiang

“…To address this issue, this paper innovatively proposes a design method of an ice tolerance flight envelope protection control system for a UAV on the base of icing severity detection using a long short-term memory (LSTM) neural network. First, the icing severity is detected using an LSTM neural network without requiring control surface excitation. …”
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Artificial neural network with incompressible smoothed particle hydrodynamics for exothermic chemical reaction on heat and mass transfer in a rectangular annulus by Alaa Allakany, Noura Alsedias, Abdelraheem M. Aly

“…The fractional-time derivative of the governing systems is solved numerically based on the ISPH method. The artificial neural network (ANN) is combined with the ISPH results to predict the average Nusselt number $$\overline{Nu }$$ Nu ¯ and Sherwood number $$\overline{Sh }$$ Sh ¯ . …”
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Sistem Pendeteksi Central Sleep Apnea Menggunakan Metode Neural Network dengan Fitur RR Interval dan Durasi QRS by Dittha Ratanasari, Edita Rosana Widasari, Rizal Maulana

“…Kedua fitur pada 18 set data uji diklasifikasi dengan metode Neural network, keluarannya berupa kelas Normal atau Apnea ditampilkan pada smartphone dengan konektivitas Bluetooth. …”
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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

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A Navier–Stokes-Informed Neural Network for Simulating the Flow Behavior of Flowable Cement Paste in 3D Concrete Printing by Tianjie Zhang, Donglei Wang, Yang Lu

Subjects: “…physics-informed neural network…”
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Diffusion Tensor Imaging Evaluation of Neural Network Development in Patients Undergoing Therapeutic Repetitive Transcranial Magnetic Stimulation following Stroke by Naoki Yamada, Ryo Ueda, Wataru Kakuda, Ryo Momosaki, Takahiro Kondo, Takuya Hada, Nobuyuki Sasaki, Takatoshi Hara, Atsushi Senoo, Masahiro Abo

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Homeomorphism Mapping Based Neural Networks for Finite Time Constraint Control of a Class of Nonaffine Pure-Feedback Nonlinear Systems by Jianhua Zhang, Quanmin Zhu, Yang Li, Xueli Wu

“…This paper proposes a new scheme for solving finite time neural networks adaptive tracking control issue for the nonaffine pure-feedback nonlinear system. …”
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ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal by Hnin Thiri Chaw, Thossaporn Kamolphiwong, Sinchai Kamolphiwong, Krongthong Tawaranurak, Rattachai Wongtanawijit

“…In this paper, we propose a deep convolutional neural network (CNN) model based on the oxygen saturation (SpO2) signal from a smart sensor. …”
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A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification by Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao

“…To better identify user intents, this paper proposes a BERT-Cap hybrid neural network model with focal loss for user intent classification to capture user intents in dialogue. …”
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Construction of a rodent neural network-skeletal muscle assembloid that simulate the postnatal development of spinal cord motor neuronal network by Haiyang Yu, Shangbin Yang, Yuanfeng Chen, Chuangran Wu, Jing Xu, Yue Yang, Rongjie Wu, Yinan Guo, Zhen Chen, Ying Ding, Xiang Zeng, Ge Li, Yuanhuan Ma, Qiujian Zheng, Yuanshan Zeng, Biqin Lai

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Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks by Hanae Loutfi, Ahmed Bernatchou, Younès Raoui, Rachid Tadili

“…This paper presents three different topologies of feed forward neural network (FFNN) models for generating global, direct, and diffuse hourly solar irradiance in the city of Fez (Morocco). …”
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Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory by Mumtaz Ali, Jesu Vedha Nayahi, Erfan Abdi, Mohammad Ali Ghorbani, Farzan Mohajeri, Aitazaz Ahsan Farooque, Salman Alamery

“…The modeling approach encompassed the implementation of Neural Network (NN), Deep Learning (DL), Recurrent Neural Networks (RNN), RNN based Long Short-Term Memory (RNN-LSTM), and Convolutional Neural Network based LSTM (CNN-LSTM) to forecast daily ETo using historical meteorology data. …”
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Performance Evaluation of 3-D Convolutional Neural Network for Multitemporal Flood Classification Framework With Synthetic Aperture Radar Image Data by Dodi Sudiana, Indra Riyanto, Mia Rizkinia, Rahmat Arief, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo, Ketut Wikantika

Subjects: “…3-D convolutional neural network (3-D CNN)…”
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Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention by Fawaz Khaled Alarfaj, Shabnam Shahzadi

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Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

“…A Temporal Convolutional Neural Network (TempCNN), which excels in handling temporal data and adapting to complex patterns, was constructed using TensorFlow with 133.8k parameters. …”
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