Log in

Relevant bibliographies by topics / Neural Network Architecture (NNA) / Journal articles

To see the other types of publications on this topic, follow the link: Neural Network Architecture (NNA).

Journal articles on the topic 'Neural Network Architecture (NNA)'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Neural Network Architecture (NNA).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Yildirim, Sahin, Asli Durmusoglu, Caglar Sevim, Mehmet Safa Bingol, and Menderes Kalkat. "Design of neural predictors for predicting and analysing COVID-19 cases in different regions." Neural Network World 32, no. 5 (2022): 233–51. http://dx.doi.org/10.14311/nnw.2022.32.014.

Full text

Abstract:

Nowadays, some unexpected viruses are affecting people with many troubles. COVID-19 virus is spread in the world very rapidly. However, it seems that predicting cases and death fatalities is not easy. Artificial neural networks are employed in many areas for predicting the systems parameters in simulation or real-time approaches. This paper presents the design of neural predictors for analysing the cases of COVID-19 in three countries. Three countries were selected because of their different regions. Especially, these major countries cases were selected for predicting future effects. Further

APA, Harvard, Vancouver, ISO, and other styles

2

Tolic, Antonio, Biljana Mileva Boshkoska, and Sandro Skansi. "Upgrading the JANET neural network by introducing a new storage buffer of working memory." Neural Network World 33, no. 6 (2023): 433–59. http://dx.doi.org/10.14311/nnw.2023.33.024.

Full text

Abstract:

Recurrent neural networks (RNNs), along with long short-term memory networks (LSTMs), have been successfully used on a wide range of sequential data problems and have been entitled as extraordinarily powerful tools for learning and processing such data. However, the search for a new or derived architecture that would model very long-term dependencies is still an active area of research. In this paper, a relatively psychologically plausible architecture named event buffering JANET (EB-JANET) is proposed. The architecture is derived from the forgetgate- only version of the LSTM, which is also ca

APA, Harvard, Vancouver, ISO, and other styles

3

Sarigül, Mehmet, and Mutlu Avci. "Q LEARNING REGRESSION NEURAL NETWORK." Neural Network World 28, no. 5 (2018): 415–31. http://dx.doi.org/10.14311/nnw.2018.28.023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Kaneko, Masanori, Ayane Suzaki, Azusa Muraoka, Kazuma Gotoh, and Koichi Yamashita. "Neural network to predict 23Na NMR spectra of Nan clusters." Journal of Materials Informatics 3, no. 2 (2023): 8. http://dx.doi.org/10.20517/jmi.2022.39.

Full text

Abstract:

In order to understand the charging and discharging processes of sodium-ion batteries, we are interested in the relationship between the size of sodium clusters inserted into the hard carbon anode and the solid-state 23Na NMR chemical shifts. In this study, we investigated the predictability of the size dependence of 23Na NMR shielding constants by SchNet, a deep learning model that uses the distance between Na atoms without graph connection information. The data set required for training the neural network was constructed by density functional theory (DFT) calculations. This study shows that

APA, Harvard, Vancouver, ISO, and other styles

5

Cheng, Yan, Z. Ye, M. Wang, and Q. Zhang. "DOCUMENT CLASSIFICATION BASED ON CONVOLUTIONAL NEURAL NETWORK AND HIERARCHICAL ATTENTION NETWORK." Neural Network World 29, no. 2 (2019): 83–98. http://dx.doi.org/10.14311/nnw.2019.29.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Saadi, Abdelhalim, and Hacene Belhadef. "Towards an optimal set of initial weights for a Deep Neural Network architecture." Neural Network World 29, no. 6 (2019): 403–26. http://dx.doi.org/10.14311/nnw.2019.29.025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Hamplová, Adéla, David Franc, and Arnošt Veselý. "An improved classifier and transliterator of hand-written Palmyrene letters to Latin." Neural Network World 32, no. 4 (2022): 181–95. http://dx.doi.org/10.14311/nnw.2022.32.011.

Full text

Abstract:

This article presents the problem of improving the classifier of handwritten letters from historical alphabets, using letter classification algorithms and transliterating them to Latin. We apply it on Palmyrene alphabet, which is a complex alphabet with letters, some of which are very similar to each other. We created a mobile application for Palmyrene alphabet that is able to transliterate hand-written letters or letters that are given as photograph images. At first, the core of the application was based on MobileNet, but the classification results were not suitable enough. In this article, w

APA, Harvard, Vancouver, ISO, and other styles

8

Zhang, Xiliang, Na Zhao, Qinyuan Lv, et al. "Garbage classification based on a cascade neural network." Neural Network World 33, no. 2 (2023): 101–12. http://dx.doi.org/10.14311/nnw.2023.33.007.

Full text

Abstract:

Most existing methods of garbage classification utilize transfer learning to acquire acceptable performance. They focus on some smaller categories. For example, the number of the dataset is small or the number of categories is few. However, they are hardly implemented on small devices, such as a smart phone or a Raspberry Pi, because of the huge number of parameters. Moreover, those approaches have insufficient generalization capability. Based on the aforementioned reasons, a promising cascade approach is proposed. It has better performance than transfer learning in classifying garbage in a la

APA, Harvard, Vancouver, ISO, and other styles

9

Fuangkhon, Piyabute. "Normalized data barrier amplifier for feed-forward neural network." Neural Network World 31, no. 2 (2021): 125–57. http://dx.doi.org/10.14311/nnw.2021.31.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Xu, Yi, and Minghui He. "IMPROVED ARTIFICIAL NEURAL NETWORK BASED ON INTELLIGENT OPTIMIZATION ALGORITHM." Neural Network World 28, no. 4 (2018): 345–60. http://dx.doi.org/10.14311/nnw.2018.28.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Masoudi, Babak, and Sebelan Danishvar. "Deep multi-modal schizophrenia disorder diagnosis via a GRU-CNN architecture." Neural Network World 32, no. 3 (2022): 147–61. http://dx.doi.org/10.14311/nnw.2022.32.009.

Full text

Abstract:

Schizophrenia is a complex mental disorder associated with a change in the functional and structural of the brain. Accurate automatic diagnosis of schizophrenia is crucial and still a challenge. In this paper, we propose an automatic diagnosis of schizophrenia disorder method based on the fusion of different neuroimaging features and a deep learning architecture. We propose a deep-multimodal fusion (DMMF) architecture based on gated recurrent unit (GRU) network and 2D-3D convolutional neural networks (CNN). The DMMF model combines functional connectivity (FC) measures extracted from functional

APA, Harvard, Vancouver, ISO, and other styles

12

Qiao, Fengjuan, Bin Li, Mengqi Gao, and Jiangjiao Li. "ECG signal classification based on adaptive multi-channel weighted neural network." Neural Network World 32, no. 1 (2022): 55–72. http://dx.doi.org/10.14311/nnw.2022.32.004.

Full text

Abstract:

The intelligent diagnosis of cardiovascular diseases is a topic of great interest. Many electrocardiogram (ECG) recognition technologies have emerged, but most of them have low recognition accuracy and poor clinical application. To improve the accuracy of ECG classification, this paper proposes a multi-channel neural network framework. Concretely, a multi-channel feature extractor is constructed by using four types of filters, which are weighted according to their importance, as measured by kurtosis. A bidirectional long short-term memory (BLSTM) network structure based on attention mechanism

APA, Harvard, Vancouver, ISO, and other styles

13

Hlavica, Jakub, Michal Prauzek, Tomáš Peterek, and Petr Musílek. "ASSESSMENT OF PARKINSON'S DISEASE PROGRESSION USING NEURAL NETWORK AND ANFIS MODELS." Neural Network World 26, no. 2 (2016): 111–28. http://dx.doi.org/10.14311/nnw.2016.26.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Doležel, Petr, and Jana Heckenbergerová. "COMPUTATIONALLY SIMPLE NEURAL NETWORK APPROACH TO DETERMINE PIECEWISE-LINEAR DYNAMICAL MODEL." Neural Network World 27, no. 4 (2017): 351–71. http://dx.doi.org/10.14311/nnw.2017.27.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Chatterjee, Sankhadeep, Bimal Datta, and Nilanjan Dey. "HYBRID NEURAL NETWORK BASED RAINFALL PREDICTION SUPPORTED BY FLOWER POLLINATION ALGORITHM." Neural Network World 28, no. 6 (2018): 497–510. http://dx.doi.org/10.14311/nnw.2018.28.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Li, Xingguo, and Junfeng Wang. "TRAFFIC DETECTION OF TRANSMISSION OF BOTNET THREAT USING BP NEURAL NETWORK." Neural Network World 28, no. 6 (2018): 511–21. http://dx.doi.org/10.14311/nnw.2018.28.028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Yudin, D., A. Ivanov, and M. Shchendrygin. "DETECTION OF A HUMAN HEAD ON A LOW-QUALITY IMAGE AND ITS SOFTWARE IMPLEMENTATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W12 (May 9, 2019): 237–41. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w12-237-2019.

Full text

Abstract:

<p><strong>Abstract.</strong> The paper considers the task solution of detection on two-dimensional images not only face, but head of a human regardless of the turn to the observer. Such task is also complicated by the fact that the image receiving at the input of the recognition algorithm may be noisy or captured in low light conditions. The minimum size of a person’s head in an image to be detected for is 10&amp;thinsp;&amp;times;&amp;thinsp;10 pixels. In the course of development, a dataset was prepared containing over 1000 labelled images of classrooms at BSTU

APA, Harvard, Vancouver, ISO, and other styles

18

Dlamini, Nkosikhona, and Terence L. van Zyl. "Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification." Sensors 21, no. 18 (2021): 6109. http://dx.doi.org/10.3390/s21186109.

Full text

Abstract:

Similarity learning using deep convolutional neural networks has been applied extensively in solving computer vision problems. This attraction is supported by its success in one-shot and zero-shot classification applications. The advances in similarity learning are essential for smaller datasets or datasets in which few class labels exist per class such as wildlife re-identification. Improving the performance of similarity learning models comes with developing new sampling techniques and designing loss functions better suited to training similarity in neural networks. However, the impact of th

APA, Harvard, Vancouver, ISO, and other styles

19

Khan, Shahid, Altaf Mukati, Syed Sajjad Hussain Rizvi, and Nazia Yazdanie. "Tooth segmentation in 3D cone-beam CT images using deep convolutional neural network." Neural Network World 32, no. 6 (2022): 301–18. http://dx.doi.org/10.14311/nnw.2022.32.018.

Full text

Abstract:

Segmentation of an individual tooth in dental radiographs has great significance in the process of orthodontics surgeries and dentistry. Machine learning techniques, especially deep convolutional neural networks can play a key role in revolutionizing the way orthodontics surgeons and dentists work. Lately, many researchers have been working on tooth segmentation in 3D volumetric dental scans with a great degree of success, but to the best of our knowledge, there is no pretrained neural network available publicly for performing tooth segmentation in 3D cone-beam dental CT scans. The methods whi

APA, Harvard, Vancouver, ISO, and other styles

20

Abeska, Yesim Yilmaz, and Levent Cavas. "Artificial neural network modelling of green synthesis of silver nanoparticles by honey." Neural Network World 32, no. 1 (2022): 1–14. http://dx.doi.org/10.14311/nnw.2022.32.001.

Full text

Abstract:

Nanomaterials draw attention because of their unique physical, chemical and biological properties in areas such as catalysis, electronic, optics, medicine, solar energy conversion and water treatment. Green synthesis of silver nanoparticles has many superiorities compared to physical and chemical methods such as lowcost, nontoxicity, eco-sensitive. In this paper, experimental conditions related togreen synthesis of silver nanoparticles by honey were modelled using artificial neural network (ANN). While agitation time, agitation rate, pH, temperature, honey concentration, AgNO3 concentration we

APA, Harvard, Vancouver, ISO, and other styles

21

Hlaváč, Vladimír. "Neural Network for the identification of a functional dependence using data preselection." Neural Network World 31, no. 2 (2021): 109–24. http://dx.doi.org/10.14311/nnw.2021.31.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Xia, Min, Mao Yang Shen, Jianfeng Wang, Ligou Weng, and Chen Yan. "ANTI-SPURIOUS-STATE NEURAL NETWORK USING NONLINEAR OUTER PRODUCT AND DYNAMIC SYNAPSES." Neural Network World 26, no. 4 (2016): 377–92. http://dx.doi.org/10.14311/nnw.2016.26.022.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Waqas, Muhammad, and Abdul Aziz Bhatti. "OPTIMIZATION OF N + 1 QUEENS PROBLEM USING DISCRETE NEURAL NETWORK." Neural Network World 27, no. 3 (2017): 295–308. http://dx.doi.org/10.14311/nnw.2017.27.016.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Huang, Jipan, Xin'an Wang, Yong Zhao, Chen Xin, and Han Xiang. "LARGE EARTHQUAKE MAGNITUDE PREDICTION IN TAIWAN BASED ON DEEP LEARNING NEURAL NETWORK." Neural Network World 28, no. 2 (2018): 149–60. http://dx.doi.org/10.14311/nnw.2018.28.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Abbas, Sagheer, Muhammad Adnan Khan, A. Ata, Gulzar Ahmad, Anwaar Saeed, and Nida Anwar. "Multi user detection using fuzzy logic empowered adaptive back propagation neural network." Neural Network World 29, no. 6 (2019): 381–401. http://dx.doi.org/10.14311/nnw.2019.29.024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Fathia Syahla Az Zahra, Bagus Sumargo, Dania Siregar, and Auria Yusrin Fathya. "THE APPLICATION OF THE ARTIFICIAL NEURAL NETWORK (ANN) METHOD FOR FORECASTING THE SOUTHERN OSCILATION INDEX (SOI)." Jurnal Statistika dan Aplikasinya 8, no. 2 (2024): 179–90. https://doi.org/10.21009/jsa.08205.

Full text

Abstract:

Indonesia's seasons are influenced by global phenomena such as ENSO. This phenomenon affects rainfall intensity in Indonesia through its two main phases: El Nino and La Nina. One method to detect these events is by analyzing the Southern Oscillation Index (SOI). A highly accurate SOI forecasting model is critical for both short-term and long-term development planning, particularly in anticipating future extreme seasons. One of the methods used for forecasting is the Artificial Neural Network (ANN). This study aims to develop an ANN model capable of predicting the SOI index. Based on forecastin

APA, Harvard, Vancouver, ISO, and other styles

27

Qais, Mohammed H., Hany M. Hasanien, Rania A. Turky, Saad Alghuwainem, Ka Hong Loo, and Mohmmed Elgendy. "Optimal PEM Fuel Cell Model Using a Novel Circle Search Algorithm." Electronics 11, no. 12 (2022): 1808. http://dx.doi.org/10.3390/electronics11121808.

Full text

Abstract:

The aim of this article is to introduce a novel Circle Search Algorithm (CSA) with the purpose of obtaining a precise electrical model of a proton exchange membrane fuel cell (PEMFC). Current-voltage and current-power curves are used to characterize the performance of PEMFCs. A nonlinear model with seven unknown parameters is used to describe these polarization curves. Estimating these unknown parameters is a critical issue because they influence the dynamic analysis of fuel cells in a variety of applications such as transportation and smart grids. The suggested method is based on minimizing t

APA, Harvard, Vancouver, ISO, and other styles

28

Upasani, Nilam, and Hari Om. "OPTIMIZED FUZZY MIN-MAX NEURAL NETWORK: AN EFFICIENT APPROACH FOR SUPERVISED OUTLIER DETECTION." Neural Network World 28, no. 4 (2018): 285–303. http://dx.doi.org/10.14311/nnw.2018.28.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Tonkal, Özgür, Hüseyin Polat, Erdal Başaran, Zafer Cömert, and Ramazan Kocaoğlu. "Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking." Electronics 10, no. 11 (2021): 1227. http://dx.doi.org/10.3390/electronics10111227.

Full text

Abstract:

The Software-Defined Network (SDN) is a new network paradigm that promises more dynamic and efficiently manageable network architecture for new-generation networks. With its programmable central controller approach, network operators can easily manage and control the whole network. However, at the same time, due to its centralized structure, it is the target of many attack vectors. Distributed Denial of Service (DDoS) attacks are the most effective attack vector to the SDN. The purpose of this study is to classify the SDN traffic as normal or attack traffic using machine learning algorithms eq

APA, Harvard, Vancouver, ISO, and other styles

30

Wang, Yi, Xiao Song, Guanghong Gong, and Ni Li. "A Multi-Scale Feature Extraction-Based Normalized Attention Neural Network for Image Denoising." Electronics 10, no. 3 (2021): 319. http://dx.doi.org/10.3390/electronics10030319.

Full text

Abstract:

Due to the rapid development of deep learning and artificial intelligence techniques, denoising via neural networks has drawn great attention due to their flexibility and excellent performances. However, for most convolutional network denoising methods, the convolution kernel is only one layer deep, and features of distinct scales are neglected. Moreover, in the convolution operation, all channels are treated equally; the relationships of channels are not considered. In this paper, we propose a multi-scale feature extraction-based normalized attention neural network (MFENANN) for image denoisi

APA, Harvard, Vancouver, ISO, and other styles

31

Divya, Jegatheesan, and Arumugam Chandrasekar. "DRGNN - Dilated recurrent graph neural network framework incorporating spatial and temporal features signifying social relationships in IoT network based traffic prediction." Neural Network World 33, no. 6 (2023): 481–99. http://dx.doi.org/10.14311/nnw.2023.33.026.

Full text

Abstract:

The intelligent transportation system seeks to reduce traffic and improve the driving experience. They give us a lot of data that we can use to improve services for both the public and transportation officials by feeding it into machine learning systems. Most importantly, Traffic environment refers to everything that might have an impact on how much traffic is moving down the road, including traffic signals, accidents, protests, and even road repairs that might result in a backup. A motorist or rider can make an informed choice if they have previous knowledge that is very close to approximate

APA, Harvard, Vancouver, ISO, and other styles

32

Usha, T. M., and S. Appavu alias Balamurugan. "COMPUTATIONAL MODELING OF ELECTRICITY CONSUMPTION USING ECONOMETRIC VARIABLES BASED ON NEURAL NETWORK TRAINING ALGORITHMS." Neural Network World 27, no. 1 (2017): 139–78. http://dx.doi.org/10.14311/nnw.2017.27.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Makhrus, Faizal. "The effect of amplitude modification in S-shaped activation functions on neural network regression." Neural Network World 33, no. 4 (2023): 245–69. http://dx.doi.org/10.14311/nnw.2023.33.015.

Full text

Abstract:

Time series forecasting using multilayer feed-forward neural networks (FNN) is potential to give high accuracy. Several factors influence the accuracy. One of them is the choice of activation functions (AFs). There are several AFs commonly used in FNN with their specific characteristics, such as bounded type AFs. They include sigmoid, softsign, arctan, and tanh. This paper investigates the effect of the amplitude in the bounded AFs on the FNNs accuracy. The theoretical investigations use simplified FNN models: linear equation and linear combination. The results show that the higher amplitudes

APA, Harvard, Vancouver, ISO, and other styles

34

Devi, Vandana, and Avinash Sharma. "Multi-Network Feature Fusion Facial Emotion Recognition using Nonparametric Method with Augmentation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (2023): 693–700. http://dx.doi.org/10.17762/ijritcc.v11i8s.7636.

Full text

Abstract:

Facial expression emotion identification and prediction is one of the most difficult problems in computer science. Pre-processing and feature extraction are crucial components of the more conventional methods. For the purpose of emotion identification and prediction using 2D facial expressions, this study targets the Face Expression Recognition dataset and shows the real implementation or assessment of learning algorithms such as various CNNs. Due to its vast potential in areas like artificial intelligence, emotion detection from facial expressions has become an essential requirement. Many eff

APA, Harvard, Vancouver, ISO, and other styles

35

Malinovský, Vít. "Comparative analysis of freight transport prognoses results provided by transport system model and neural network." Neural Network World 31, no. 4 (2021): 239–59. http://dx.doi.org/10.14311/nnw.2021.31.013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Jha, Sunil Kr, and Jasmin Bilalovikj. "A COMPARATIVE APPROACH OF NEURAL NETWORK AND REGRESSION ANALYSIS IN VERY SHORT-TERM WIND SPEED PREDICTION." Neural Network World 29, no. 5 (2019): 285–300. http://dx.doi.org/10.14311/nnw.2019.29.018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Krishna, K. Phani Rama, and Ramakrishna Thirumuru. "Enhanced QOS energy-efficient routing algorithm using deep belief neural network in hybrid falcon-improved ACO nature-inspired optimization in wireless sensor networks." Neural Network World 33, no. 3 (2023): 113–41. http://dx.doi.org/10.14311/nnw.2023.33.008.

Full text

Abstract:

Wireless sensor networks (WSNs) have recently acquired prominence in a variety of applications such as remote monitoring and tracking. Since it is virtually hard to recharge the nodes in their remote deployment, also, the transmission of data from nodes to the base station requires a significant amount of energy. Thus, our research proposes a routing protocol, namely hybrid falcon-improved ACO Nature-Inspired Optimization using a deep learning model to reduce energy consumption while increases the network lifetime. In the developed model, initially, the falcon optimization technique is utilize

APA, Harvard, Vancouver, ISO, and other styles

38

Adam, Asrul, Zuwairie Ibrahim, Norrima Mokhtar, Mohd Ibrahim Shapiai, and Marizan Mubin. "EVALUATION OF DIFFERENT PEAK MODELS OF EYE BLINK EEG FOR SIGNAL PEAK DETECTION USING ARTIFICIAL NEURAL NETWORK." Neural Network World 26, no. 1 (2016): 67–89. http://dx.doi.org/10.14311/nnw.2016.26.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Mansouri, Taha, Ahad Zare Ravasan, and Mohammad Reza Gholamian. "A Novel Hybrid Algorithm Based on K-Means and Evolutionary Computations for Real Time Clustering." International Journal of Data Warehousing and Mining 10, no. 3 (2014): 1–14. http://dx.doi.org/10.4018/ijdwm.2014070101.

Full text

Abstract:

One of the most widely used algorithms to solve clustering problems is the K-means. Despite of the algorithm's timely performance to find a fairly good solution, it shows some drawbacks like its dependence on initial conditions and trapping in local minima. This paper proposes a novel hybrid algorithm, comprised of K-means and a variation operator inspired by mutation in evolutionary algorithms, called Noisy K-means Algorithm (NKA). Previous research used K-means as one of the genetic operators in Genetic Algorithms. However, the proposed NKA is a kind of individual based algorithm that combin

APA, Harvard, Vancouver, ISO, and other styles

40

Balal, Esmaeil, and Ruey Long Cheu. "COMPARATIVE EVALUATION OF FUZZY INFERENCE SYSTEM, SUPPORT VECTOR MACHINE AND MULTILAYER FEED-FORWARD NEURAL NETWORK IN MAKING DISCRETIONARY LANE CHANGING DECISIONS." Neural Network World 28, no. 4 (2018): 361–78. http://dx.doi.org/10.14311/nnw.2018.28.021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Deepak H. A. and Vijayakumar T. "Cardiac Arrhythmia, CHF, and NSR Classification With NCA-Based Feature Fusion and SVM Classifier." International Journal of Software Innovation 11, no. 1 (2023): 1–24. http://dx.doi.org/10.4018/ijsi.315659.

Full text

Abstract:

An arrhythmia is an irregular heartbeat that causes abnormal heart rhythms. Manual analysis of electrocardiogram (ECG) signals is not sufficient to quickly detect cardiac arrhythmias. This study proposes a deep learning approach based on a convolutional neural network (CNN) architecture for the classification of cardiac arrhythmias (ARR), congestive heart failure (CHF), and normal sinus rhythm (NSR). First, the ECG signal is converted into a 2D image using time-frequency conversion. The scalogram is constructed using a continuous wavelet transform to extract dynamic features. With CNN, each EC

APA, Harvard, Vancouver, ISO, and other styles

42

Eristi, Belkis, and Huseyin Eristi. "Classification of Power Quality Disturbances in Solar PV Integrated Power System Based on a Hybrid Deep Learning Approach." International Transactions on Electrical Energy Systems 2022 (June 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/8519379.

Full text

Abstract:

Nowadays, due to the increase in the demand for electrical energy and the development of technology, the electrical devices have a more complex structure. This situation has increased the importance of concept of the power quality in the electrical power system. This paper presents a deep learning-based system to recognize the power quality disturbances (PQDs) in the solar photovoltaic (SPV) plant integrated with power system networks. The PQDs are analyzed using continuous wavelet transform (CWT) and image files are obtained from scalograms of CWT. Then, these image files are used to recogniz

APA, Harvard, Vancouver, ISO, and other styles

43

Li, Qiang, Yan Qiang, De-jin Kong, and Xiao-feng Liu. "A model based on SVM-GDPSO for the voltage stability forecasting of large power system." Neural Network World 32, no. 3 (2022): 131–46. http://dx.doi.org/10.14311/nnw.2022.32.008.

Full text

Abstract:

The stability assessment of a large power system in real-time is very necessary after it encounters fault. The paper proposes a new model (SVM-GDPSO) for assessing the large power system. In order to enhance SVM, taking tangent vector of power flow Jacobian (PFJ) as the goal of machine learning was used for improving the precision. Besides, particle swarm optimization (PSO) with Gaussian disturbance (GD) is taken for setting the key parameters of SVM, and metalearning was utilized to decrease the search space of PSO. The experiment on the standard test system of IEEE 118-bus demonstrated that

APA, Harvard, Vancouver, ISO, and other styles

44

Vivek, Veeman, Jeyaprakash Hemalatha, Thamarai Pugazhendhi Latchoumi, and Sekar Mohan. "Towards the development of obstacle detection in railway tracks using thermal imaging." Neural Network World 33, no. 5 (2023): 337–55. http://dx.doi.org/10.14311/nnw.2023.33.019.

Full text

Abstract:

To prevent collisions between trains and objects on the railway line, rugged trains require an intelligent rail protection system. To improve railway safety and reduce the number of accidents, studies are underway. Machine learning (ML) had progressed rapidly, creating new perspectives on the subject. A technique called speed up robust features (SURF) is proposed by researchers to collect regionally and globally relevant information. In addition, taking advantage of the Ohio State University (OSU) heat walker benchmarking dataset, the effectiveness of this technique was examined under various

APA, Harvard, Vancouver, ISO, and other styles

45

Turk, Fuat, Erkan Akkur, and Osman Erogul. "BI-RADS categories and breast lesions classification of mammographic images using artificial intelligence diagnostic model." Neural Network World 33, no. 6 (2023): 413–32. http://dx.doi.org/10.14311/nnw.2023.33.023.

Full text

Abstract:

According to BI-RADS criteria, radiologists evaluate mammography images, and breast lesions are classified as malignant or benign. In this retrospective study, an evaluation was made on 264 mammogram images of 139 patients. First, data augmentation was applied, and then the total number of images was increased to 565. Two computer-aided models were then designed to classify breast lesions and BI-RADS categories. The first of these models is the support vector machine (SVM) based model, and the second is the convolutional neural network (CNN) based model. The SVM-based model could classify BI-R

APA, Harvard, Vancouver, ISO, and other styles

46

Bandi, Sudheer Reddy, M. Anbarasan, and D. Sheela. "Fusion of SAR and optical images using pixel-based CNN." Neural Network World 32, no. 4 (2022): 197–213. http://dx.doi.org/10.14311/nnw.2022.27.012.

Full text

Abstract:

Sensors of different wavelengths in remote sensing field capture data. Each and every sensor has its own capabilities and limitations. Synthetic aperture radar (SAR) collects data that has a high spatial and radiometric resolution. The optical remote sensors capture images with good spectral information. Fused images from these sensors will have high information when implemented with a better algorithm resulting in the proper collection of data to predict weather forecasting, soil exploration, and crop classification. This work encompasses a fusion of optical and radar data of Sentinel series

APA, Harvard, Vancouver, ISO, and other styles

47

Bandi, Sudheer Reddy, M. Anbarasan, and D. Sheela. "Fusion of SAR and optical images using pixel-based CNN." Neural Network World 32, no. 4 (2022): 197–213. http://dx.doi.org/10.14311/nnw.2022.32.012.

Full text

Abstract:

Sensors of different wavelengths in remote sensing field capture data. Each and every sensor has its own capabilities and limitations. Synthetic aperture radar (SAR) collects data that has a high spatial and radiometric resolution. The optical remote sensors capture images with good spectral information. Fused images from these sensors will have high information when implemented with a better algorithm resulting in the proper collection of data to predict weather forecasting, soil exploration, and crop classification. This work encompasses a fusion of optical and radar data of Sentinel series

APA, Harvard, Vancouver, ISO, and other styles

48

Sumathi, K., and Viji Vinod. "Classification of fruits ripeness using CNN with multivariate analysis by SGD." Neural Network World 32, no. 6 (2022): 319–32. http://dx.doi.org/10.14311/nnw.2022.32.019.

Full text

Abstract:

Ripeness estimation of fruits is an essential process that impact the quality of fruits and its marketing. Nearly 30% to 35% get wasted from the harvested fruits due to lack of skilled workers in classification and fruit grading. Although it can be executed by human assessment, it is time consuming, costlier and error prone. Lot of research is carried to automate the quality assessment of fruits. Several hyper-parameters have been considered which have liven up by providing robust convolutional neural network (CNN). This paper has focused on image resizer stochastic gradient descent (SGD) algo

APA, Harvard, Vancouver, ISO, and other styles

49

Aravind, Thangavel, and Paramasivam Suresh. "Development of an efficient deep learning system for automatic prediction of power demand based on the forecasting of power distribution." Neural Network World 33, no. 6 (2023): 461–79. http://dx.doi.org/10.14311/nnw.2023.33.025.

Full text

Abstract:

Electrical load prediction aids electrical producing and allocation firms in planning capacity and management to ensure that all customers get the energy they need on a consistent basis. Despite the fact that numerous prediction models have been created, none of them can be applied to all market trends. As a result, this article provides a practical technique for predicting customer power usage. To address the troubles of power utilization surveying, CRF-based energy utilization choosing strategy conditional random field based powered consumption prediction (CRF-PCP) is proposed. A convolution

APA, Harvard, Vancouver, ISO, and other styles

50

Kongnoo, Somchai, Kawin Sonthipermpoon, and Kielarova Wannarumon. "Springback optimization for CNC tube bending machine based on an artificial neural networks (ANNs)." FME Transactions 51, no. 3 (2023): 405–14. http://dx.doi.org/10.5937/fme2303405k.

Full text

Abstract:

Predicting the springback angle has become the major production problem among tube benders. Springback is where the tube on a mandrel-less rotary draw bending tends to bounce back after being bent when the clamps are released. Accurately predicting the springback angle is crucial for effective tube bending. Machine learning (ML), a popular prediction approach, was applied to functions such as prediction or function approximation, pattern classification, clustering, and forecasting. To achieve this, the springback angle values from 27 experiments were collected and used as input into artificial

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!