Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks by Agung Wahyu Setiawan

“…Several studies have been conducted using a deep learning approach based on Convolutional Neural Networks (CNN) architecture. This study aims to classify the four classes using 21,165 chest X-ray images. …”
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Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study by Tongji Xie, Guangyu Fan, Le Tang, Puyuan Xing, Yuankai Shi

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Radial and Sigmoid Basis Function Neural Networks in Wireless Sensor Routing Topology Control in Underground Mine Rescue Operation Based on Particle Swarm Optimization by Mary Opokua Ansong, Hong-Xing Yao, Jun Steed Huang

“…Computer simulation results showed that the neural network learning algorithm minimized the error between the neural network output and the desired output such that final error values were either the same as the error goal or less than the error goal. …”
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Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to Differentiate Escherichia coli papG+/papG- Strains by Łukasz Lechowicz, Wioletta Adamus-Białek, Wiesław Kaca

“…We applied artificial neural networks to the analysis of the ATR FT-IR results. …”
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Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development by Anchal Dahiya, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Mohd Anul Haq, Mohammed A. Aleisa, Abdullah Alenizi

“…Further, in second phase, backpropagation neural network (BPNN) is used to improve the accuracy of parking space prediction by reducing number of errors. …”
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Towards the Prediction of the Remaining Lifetime of a Carbon Filter Bed on Hydrogen Cyanide Challenge Using in-Bed Sensors and a Neural Network: Preliminary Findings by P.J.C. Anstice, J.F. Alder

“…Twenty randomised neural networks for cyanogen breakthrough prediction were created. …”
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Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River by Manqi Wang, Caili Zhou, Jiaqi Shi, Fei Lin, Yucheng Li, Yimin Hu, Xuesheng Zhang

“…Again, based on the screened features, a back-propagation neural network (BPNN) model optimized using a mixture of the genetic algorithm (GA) and the particle swarm optimization (PSO) algorithm was established as a means of estimating water quality parameter concentrations. …”
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Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

“…Five advanced AI algorithms such as extreme learning machine (ELM), Bayesian regularized neural networks (BRNNs), Bayesian additive regression trees (BART), extreme gradient boosting (xgBoost), and hybrid neural fuzzy inference system (HNFIS) were used considering the complex relationship of rainfall with sea level pressure. …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

“…Comparisons were made between the proposed FWNN model and the fuzzy neural network (FNN), the wavelet neural network (WNN), and the neural network (ANN). …”
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Animal Species Identification in Historical Parchments by Continuous Wavelet Transform–Convolutional Neural Network Classifier Applied to Ultraviolet–Visible–Near-Infrared Spectroscopic Data by Nicolas Roy, Henry Pièrard, Julie Bouhy, Alexandre Mayer, Olivier Deparis, David Gravis

“…Then, a semisupervised neural network with a 2-component architecture was applied to the preprocessed data. …”
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Penerapan Algoritma Deep Learning Convolutional Neural Network Dalam Menentukan Kematangan Buah Jeruk Manis Berdasarkan Citra Red Green Blue (RGB) by Budi Yanto, Erni Rouza, Luth Fimawahib, B.Herawan Hayadi, Rinanda Rizki Pratama

“…For this reason, an algorithm is needed to determine sweet oranges with a computerized system created using the Convolutional Neural Network (CNN) algorithm, which is one of the deep learning algorithms, which is the development of Multilayer Perceptron (MLP), which is able to process data in two-dimensional form, for example. …”
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Convolutional Neural Network Classification using Three Cepstrums Combinations with Time, Time Derivative and Reassigned STFT of Doppler Signatures from Radar Human Locomotion by Dalila Yessad

“…The proposed CTDRCepstrum explores different window functions, transforming each echo signal into three forms of Short-Time Fourier Transform reassignments (RSTFT): time RSTFT (TSTFT), time derivative RSTFT (TDSTFT), and reassigned STFT (RSTFT). A convolutional neural network (CNN) model was then trained using the feature vector, which is generated by combining the cepstral analysis results of each RSTFT form. …”
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Lulu Filterized Lin’s correlative Theil-Sen regression-based fully connected deep multilayer perceptive neural network for eye gaze pattern recognition by Rathi K., Srinivasan K.

Subjects: “…fully connected deep multilayer perceptive neural network…”
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Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy by Tao Hai, Ali Basem, As’ad Alizadeh, Pradeep Kumar Singh, Husam Rajab, Chemseddine Maatki, Nidhal Becheikh, Lioua Kolsi, Narinderjit Singh Sawaran Singh, H. Maleki

“…Three machine learning techniques—GMDH-type neural network, gene expression programming, and combinatorial algorithm—are applied to model dynamic viscosity and thermal conductivity as functions of the input variables. …”
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Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance by Sarfaraz Natha, Fareed Ahmed, Mohammad Siraj, Mehwish Lagari, Majid Altamimi, Asghar Ali Chandio

Subjects: “…convolutional neural network…”
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Graph-Based Feature Crossing to Enhance Recommender Systems by Congyu Cai, Hong Chen, Yunxuan Liu, Daoquan Chen, Xiuze Zhou, Yuanguo Lin

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PyMem: A Graphical User Interface Tool for Neuromemristive Hardware–Software Co-Design by Aswani Radhakrishnan, Jushnah Palliyalil, Sreeja Babu, Anuar Dorzhigulov, Alex James

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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Approaches by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

“…Response Surface Methodology (RSM) and Artificial Neural Network (ANN)—Genetic Algorithm (GA) approaches were employed to model and optimize the process. …”
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Methylene Blue Adsorption BY UV-Treated Graphene Oxide Nanoparticles (UV/n-GO): Modeling and Optimization Using Response Surface Methodology and Artificial Neural Networks by M. Venkata Ratnam, Manikkampatti Palanisamy Murugesan, Srikanth Komarabathina, S. Samraj, Mohammedsani Abdulkadir, Muktar Abdu Kalifa

“…Furthermore, the batch adsorption studies were modelled using response surface modelling (RSM) and artificial neural networks (ANNs). Investigations employing FTIR, XRD, and SEM were carried out to characterize the adsorbent. …”
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Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique by R. Soundararajan, A. Ramesh, S. Sivasankaran, A. Sathishkumar

“…Artificial Neural Network (ANN) approach was used for predicting and analyzing the mechanical properties of A413 aluminum alloy produced by squeeze casting route. …”
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