Relevant bibliographies by topics / FNN Classifier

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'FNN Classifier'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "FNN Classifier"

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Njah, M., and R. El Hamdi. "A Constrained Multi-Objective Learning Algorithm for Feed-Forward Neural Network Classifiers." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1685–93. http://dx.doi.org/10.48084/etasr.968.

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This paper proposes a new approach to address the optimal design of a Feed-forward Neural Network (FNN) based classifier. The originality of the proposed methodology, called CMOA, lie in the use of a new constraint handling technique based on a self-adaptive penalty procedure in order to direct the entire search effort towards finding only Pareto optimal solutions that are acceptable. Neurons and connections of the FNN Classifier are dynamically built during the learning process. The approach includes differential evolution to create new individuals and then keeps only the non-dominated ones a
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Njah, M., and Hamdi R. El. "A Constrained Multi-Objective Learning Algorithm for Feed-Forward Neural Network Classifiers." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1685–93. https://doi.org/10.5281/zenodo.809269.

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This paper proposes a new approach to address the optimal design of a Feed-forward Neural Network (FNN) based classifier. The originality of the proposed methodology, called CMOA, lie in the use of a new constraint handling technique based on a self-adaptive penalty procedure in order to direct the entire search effort towards finding only Pareto optimal solutions that are acceptable. Neurons and connections of the FNN Classifier are dynamically built during the learning process. The approach includes differential evolution to create new individuals and then keeps only the non-dominated ones a
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Tomo, Tito Pradhono, Alexander Schmitz, Guillermo Enriquez, Shuji Hashimoto, and Shigeki Sugano. "Wayang Robot with Gamelan Music Pattern Recognition." Journal of Robotics and Mechatronics 29, no. 1 (2017): 137–45. http://dx.doi.org/10.20965/jrm.2017.p0137.

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[abstFig src='/00290001/13.jpg' width='245' text='Wayang robot' ] This paper proposes a way to protect endangered wayang puppet theater, an intangible cultural heritage from Indonesia, by turning a robot into a puppeteer successor. We developed a seven degrees-of-freedom (DOF) manipulator to actuate the sticks attached to the wayang puppet body and hands. The robot can imitate 8 distinct human puppeteer’s manipulations. Furthermore, we developed a gamelan music pattern recognition, towards a robot that can perform based on the gamelan music. In the offline experiment, we extracted energy (time
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Petrunina, E. V., S. A. Filist, L. V. Shulga, V. V. Pesok, Hayder Ali H. Alawsi, and A. V. Butusov. "Hybrid Neuro-Fuzzy Classifier for Monitoring the Effectiveness of Treatment of Diseases of the Respiratory System, Taking into Account Comorbidity." Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering 13, no. 4 (2024): 27–53. http://dx.doi.org/10.21869/2223-1536-2023-13-4-27-53.

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The purpose of research is to develop a hybrid neuro-fuzzy classifier for remote monitoring of the severity of community-acquired pneumonia, taking into account the risk of concomitant diseases.Methods. To assess the severity of community-acquired pneumonia and determine the effectiveness of its treatment plan, a hybrid neural network is included in the hybrid neuro-fuzzy classifier, which contains three macrolayers: PNNFNN-FNN*. The number of decisive blocks of the PNN macrolayer is equal to the number of segments allocated in the space of informative features, and the output of each PNN bloc
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Takke, Akshay. "Intrusion Detection System by using K-Means Clustering, C 4.5, FNN, SVM Classifier." International Journal for Research in Applied Science and Engineering Technology V, no. IV (2017): 636–38. http://dx.doi.org/10.22214/ijraset.2017.4113.

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AYO, F. E., O. FOLORUNSO, A. ABAYOMI-ALLI, and A. C. OLUBIYI. "PREDICTING SOCIAL NETWORK ADDICTION USING VARIANT SIGMOID TRANSFER FEED-FORWARD NEURAL NETWORKS (FNN-SNA)." Journal of Natural Sciences Engineering and Technology 19, no. 1 (2021): 131–48. http://dx.doi.org/10.51406/jnset.v19i1.2110.

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Researchers have reflected on personal traits that may predict Social Networking Sites (SNS) addiction. However, most of the researchers involved in the findings of personality traits predictor for social networking addiction either postulate or based their conclusions on analytical tools. Moreso, a review of the literature reveals that the prediction of social networking addiction using classifiers have not been well researched. We examined the prediction of SNS addiction from a well-structured questionnaire consisting of sixteen (16) personality traits. The questionnaire was administered on
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Attestog, Sveinung, Jagath Sri Lal Senanayaka, Huynh Van Khang, and Kjell G. Robbersmyr. "Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors." Sensors 22, no. 3 (2022): 1216. http://dx.doi.org/10.3390/s22031216.

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This paper aims to classify local demagnetisation and inter-turn short-circuit (ITSC) on position sensorless permanent magnet synchronous motors (PMSM) in transient states based on external stray flux and learning classifier. Within the framework, four supervised machine learning tools were tested: ensemble decision tree (EDT), k-nearest neighbours (KNN), support vector machine (SVM), and feedforward neural network (FNN). All algorithms are trained on datasets from one operational profile but tested on other different operation profiles. Their input features or spectrograms are computed from r
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Patro, Pramoda, Krishna Kumar, and G. Suresh Kumar. "Optimized Hybridization of Ant Colony Optimization and Genetic Algorithm (HACOGA) Based Interpretable Intuitive and Correlated-Contours Fuzzy Neural Network Classifier for Abalone." Journal of Computational and Theoretical Nanoscience 17, no. 6 (2020): 2755–62. http://dx.doi.org/10.1166/jctn.2020.9117.

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Classification generally assigns objects to enormous predefined categories and it is pervasive crisis that covers various application. Preparing the data for Classification and Prediction is the major problem in classification. In order to rectify this issue, an approximate function is proposed using Interpretable intuitive and Correlated-contours Fuzzy Neural Network (IC-FNN). For acquiring cor- related fuzzy rules and non-separable rules that comes under proper optimization problem. The extracted fuzzy rule’s parameter was fine-tuned sourced on hierarchical Levenberg Marquardt (LM) learning
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BENALI, R., N. DIB, and F. REGUIG BEREKSI. "CARDIAC ARRHYTHMIA DIAGNOSIS USING A NEURO-FUZZY APPROACH." Journal of Mechanics in Medicine and Biology 10, no. 03 (2010): 417–29. http://dx.doi.org/10.1142/s021951941000354x.

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The ventricular premature contractions (VPC) are cardiac arrhythmias that are widely encountered in the cardiologic field. They can be detected using the electrocardiogram (ECG) signal parameters. A novel method for detecting VPC from the ECG signal is proposed using a new algorithm (Slope) combined with a fuzzy-neural network (FNN). To achieve this objective, an algorithm for QRS detection is first implemented, and then a neuro-fuzzy classifier is developed. Its performances are evaluated by computing the percentages of sensitivity (SE), specificity (SP), and correct classification (CC). This
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Ko, Jun-Hyun, Chan-Seok Song, and Sung-Kwun Oh. "Design of Meteorological Radar Echo Classifier Using Fuzzy Relation-based Neural Networks : A Comparative Studies of Echo Judgement Modules." Journal of Korean Institute of Intelligent Systems 24, no. 5 (2014): 562–68. http://dx.doi.org/10.5391/jkiis.2014.24.5.562.

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Dissertations / Theses on the topic "FNN Classifier"

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Jones, Ian. "Football fandom : football fan identity and identification at Luton Town Football Club." Thesis, University of Bedfordshire, 1998. http://hdl.handle.net/10547/275672.

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This study examines football fan identity and identification within the Nationwide football league in England. A preliminary examination of the literature concludes that research on fan identity with sports teams in general, focuses primarily upon the behavioural consequences of fan identification. More specific research on the football fan concentrates predominantly upon either the F.A. Premier League or the deviant fan. The research thus attempts to fill a void in knowledge by examining football fan identification of fans of less successful football teams, using a social identity theory fram
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Faria, Cl?udia Mezzarano. "Um estudo sobre as refer?ncias de Winnicott aos fen?menos psicossom?ticos." Pontif?cia Universidade Cat?lica de Campinas, 2012. http://tede.bibliotecadigital.puc-campinas.edu.br:8080/jspui/handle/tede/290.

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Made available in DSpace on 2016-04-04T18:28:03Z (GMT). No. of bitstreams: 1 Claudia Mezzarano Faria.pdf: 515723 bytes, checksum: 0a4f508dfa9e9c03f903b1a3eb2bac59 (MD5) Previous issue date: 2012-02-24<br>The aim of this study was to clarify Winnicott s understandings of the psychosomatic problems, especially those related to the genesis, dynamics and potential treatment, thus contributing to the development of his psychosomatic theory. Several cases and clinical vignettes with psychosomatic symptoms and references, scattered in his work, were gathered, organized and classified. Data analys
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Esteves, Cristiane Silva. "Avalia??o das fun??es executivas em idosos : evid?ncias de validade convergente e dados normativos do Teste Wisconsin de classifica??o de cartas vers?o reduzida de 64 cartas para idosos." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2015. http://tede2.pucrs.br/tede2/handle/tede/6489.

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Submitted by Setor de Tratamento da Informa??o - BC/PUCRS (tede2@pucrs.br) on 2016-02-11T09:50:56Z No. of bitstreams: 1 TES_CRISTIANE_SILVA_ESTEVES_PARCIAL.pdf: 2321110 bytes, checksum: 3899cd084d5d0d26904376ab1fa1ca7f (MD5)<br>Made available in DSpace on 2016-02-11T09:50:56Z (GMT). No. of bitstreams: 1 TES_CRISTIANE_SILVA_ESTEVES_PARCIAL.pdf: 2321110 bytes, checksum: 3899cd084d5d0d26904376ab1fa1ca7f (MD5) Previous issue date: 2015-09-01<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES<br>Technological advances and scientific developments have been generating a signific
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Pawlitko, David. "Návrh mlýnice s kroužkovými mlýny s recirkulací spalin a bez recirkulace spalin." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232168.

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This master’s thesis deals with the issue of recirculating of flue-gas of pulverized coal-fired boiler. Part of the thesis are thermal calculations of mills for operational status with and without flue-gas recirculation and design of routes of recirculated flue-gas into the mills at the level of feasibility study.
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Walton, Kelly Joel. "Influence of narrow inclined channels on fne particle separations." Thesis, 2012. http://hdl.handle.net/1959.13/932170.

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Research Doctorate - Doctor of Philosophy (PhD)<br>The Reflux Classifier is an industrial technology that separates particles on the basis of size and / or density. It consists of a conventional vertical fluidised bed with a section of parallel inclined channels positioned above. The research described in this thesis is an examination of the effects of using “narrow” inclined channels (with widths as fine as 1.77 mm) on the performance of a Reflux Classifier. The finest channels studied prior to this work were nominally 7 mm wide. The understanding of particle elutriation from these relatively
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"The future of the classified market over the uncertains caused by the internets growth." Tese, MAXWELL, 2005. http://www.maxwell.lambda.ele.puc-rio.br/cgi-bin/db2www/PRG_0991.D2W/SHOW?Cont=7154:pt&Mat=&Sys=&Nr=&Fun=&CdLinPrg=pt.

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"Call-center service for classified ads: a study of the defeat of expectation in institutional discourse." Tese, MAXWELL, 2004. http://www.maxwell.lambda.ele.puc-rio.br/cgi-bin/db2www/PRG_0991.D2W/SHOW?Cont=5962:pt&Mat=&Sys=&Nr=&Fun=&CdLinPrg=pt.

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(6596906), Lillian B. Feder. "Athlete Activism Online: An Examination of Subsequent Fan Engagement." Thesis, 2019.

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The impact of athlete activism online remains understudied in academic scholarship. To gain a better understanding for fan response to athlete activism online, this study examines the patterns in perception and response among sports fans with respect to politically-charged content posted online by professional athletes. The purpose of this study is to use this understanding of fan response to help athletes and their representatives manage fan reaction to athletes’ politically-charged content. By examining fan response to politically-charged content, this study suggests principles for eliciting
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(14010029), Lyall R. Ford. "Role of the road network in the development of Far North Queensland: 1860s to 1960s." Thesis, 2012. https://figshare.com/articles/thesis/Role_of_the_road_network_in_the_development_of_Far_North_Queensland_1860s_to_1960s/21397683.

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<p>Far North Queensland covers an area in the tropics that extends roughly from Cardwell on Australia's east coast to the tip of Cape York Peninsula. The city of Cairns is its administrative centre. Europeans first began moving into the inland parts of this reeion in the 1860s but the mountains and tablelands along the eastern hinterland were clothed in thick, tropical rainforest that defied efforts to develop transport routes between inland settlements and potential ports along the east coast. Colonisation could not have occurred without the provision of roads, and colonial and state governme
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Books on the topic "FNN Classifier"

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Zhou, Shu'an. Han Ying fu zhuang fen lei ci hui: Chinese-English classified clothing dictionary. Zhongguo fang zhi chu ban she, 2001.

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Zhicen, Lou, та Huang Hsiao-kʻai, ред. Classified dictionary of traditional Chinese medicine / Zhu-Fan Xie, Zhi-Cen Lou, Xiao-Kai Huang = [Han Ying Chung i yao fen lei tzʻu tien. New World Press, 1994.

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Zhou, Caiping, and Sanzhou Xing. Han yu Ying yu fen lei ci dian: Chinese-English dictionary of classified terms. Shang wu yin shu guan, 2015.

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China. Nong ye bu. Guo ji jiao liu fu wu zhong xin., ed. Han Ying nong ye fen lei ci dian: A Chinese-English classified dictionary of agriculture. Zhongguo nong ye chu ban she, 2004.

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Gu fu shu ju. Bian ji bu., ed. Zi xun shi quan guo tu shu fen lei mu lu: Computerized classified national bibliography. Guang fu shu ju, 1985.

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Zhong yang jing guan xue xiao (China), ed. Jing zheng xue wen xian fen lei mu lu: The Classified catalog of police science. Zhong yang jing guan xue xiao, 1986.

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Lu, Jianjun, and Mingxia He. Shi yong Han Ying bai ke fen lei ci ku: Practical Chinese-English lexicon classified encyclopedically. Shanghai jiao tong da xue chu ban she, 2004.

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Li, Jin. Xin si ji 710 fen ci hui ti xing fen lei su ji zhong ji tu po: Classified CET-4 vocabulary ultimate breakthrough. Shi you gong ye chu ban she, 2007.

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Chao, Yang, ed. The Mun language of Hainan Island: Its classified lexicon = Hainan Dao Men yu fen lei ci hui ji. Institute for the Study of Languages and Cultures of Asia and Africa (ILCAA), 1990.

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Wang, Richard T. Ming studies in Japan, 1961-1981: A classified bibliography = [Jih-pen Ming tai yen chiu fen lei mu lu]. Ming Studies, History Department, University of Minnesota, 1985.

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Book chapters on the topic "FNN Classifier"

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Yuan, Xin, Jun Yang, Fuxi Wang, Yongyong Xu, and Tao Gao. "Pruning Fuzzy Neural Network Using Group Sparsity Regularization." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. https://doi.org/10.3233/faia241409.

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As one interpretable technique, fuzzy neural network (FNN) can be equipped into any deep models, but it faces the problem of high dimension when FNN is used for designing deep networks. To break the curse of dimensionality, in this paper, we use regularization method to reduce the influence of dimensionality on FNN, and based on L2,1 norm (Group Lasso) two different regularizer terms are designed. Using the gradient method, FNN can learn to evaluate the importance of features and rules, respectively, and then realizes feature selection (FS) and rule generation (RG). By dint of the simulation r
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Sadoughi Farhnaz and Ghaderzadeh Mustafa. "A Hybrid Particle Swarm and Neural Network Approach for Detection of Prostate Cancer from Benign Hyperplasia of Prostate." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-432-9-481.

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In present paper, we propose a Hybrid classifier based particle swarm optimization (PSO) and Neural Network method for supporting the diagnosis of prostate cancer. algorithm combining particle swarm optimization algorithm with back propagation neural network (BPNN) algorithm, also referred to as BPNN&amp;ndash;PSO algorithm, is proposed to train the feed forward neural network (FNN). The results show that the proposed BP based PSO algorithm can achieve very high diagnosis accuracy (98%) and it proving its usefulness in support of clinical decision process of prostate cancer.
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Das, Hem Chandra. "PHONOTACTIC AND PROSODIC FEATURES IN NEURAL NETWORK CLASSIFIERS FOR ASSAMESE DIALECT IDENTIFICATION." In Futuristic Trends in Artificial Intelligence Volume 2 Book 16. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2bs16ch4.

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In this study, we investigate phonotactic and prosodic features for dialect identification derived from the voice signal and its transcription. Feedforward Neural Network (FFNN) classifiers are trained to distinguish between dialects using the phonotactic and prosodic features at the trisyllabic level as a representation of dialect characteristics. We show that these traits do indeed include information specific to dialects. We also demonstrate the sufficiency of phonotactic features in terms of broad phonetic categories to express the phonotactic regularities/constraints dialects. For four As
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Bai, Junjie, Kan Luo, Jun Peng, et al. "Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies." In Cognitive Analytics. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch052.

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Music emotions recognition (MER) is a challenging field of studies addressed in multiple disciplines such as musicology, cognitive science, physiology, psychology, arts and affective computing. In this article, music emotions are classified into four types known as those of pleasing, angry, sad and relaxing. MER is formulated as a classification problem in cognitive computing where 548 dimensions of music features are extracted and modeled. A set of classifications and machine learning algorithms are explored and comparatively studied for MER, which includes Support Vector Machine (SVM), k-Nea
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Wu, Ruijuan, Cheng Lu Wang, and Andy Hao. "What Makes a Fan a Fan?" In Handbook of Research on the Impact of Fandom in Society and Consumerism. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1048-3.ch018.

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The objective of this chapter is to examine how consumers become fans of Apple products through hero worship of Steve Jobs. To bolster the understanding of this interesting phenomenon regarding how consumers establish psychological connection with Steve Jobs, the psychological continuum model (PCM) and social identity theory are applied as frameworks to assess the evolvement process of Steve Jobs' fans across four progressive stages. To allocate these fans into distinct stages that represent an increased psychological connection, the authors conducted a content analysis of web reviews based on
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Shukla, Praveen Kumar, Rahul Kumar Chaurasiya, and Shrish Verma. "Single-Channel Region-Based Speller for Controlling Home Appliances." In Research Anthology on Artificial Neural Network Applications. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch025.

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The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does not require any muscle action; hence, it can be controlled with the help of brain activities only. Therefore, this kind of system is helpful for patients, who are completely paralyzed or suffering from diseases like ALS (Amyotrophic Lateral Sclerosis), and spinal cord injury, etc., but having a normal functioning brain. A region-based P300 speller system for controlling home electronic appliances is proposed in this a
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Verma, Atul Kumar, Indu Saini, and Barjinder Singh Saini. "Electrocardiogram Beat Classification Using BAT-Optimized Fuzzy KNN Classifier." In Medical Data Security for Bioengineers. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7952-6.ch007.

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In this chapter, the BAT-optimized fuzzy k-nearest neighbor (FKNN-BAT) algorithm is proposed for discrimination of the electrocardiogram (ECG) beats. The five types of beats (i.e., normal [N], right bundle block branch [RBBB], left bundle block branch [LBBB], atrial premature contraction [APC], and premature ventricular contraction [PVC]) are taken from MIT-BIH arrhythmia database for the experimentation. Thereafter, the features are extracted from five type of beats and fed to the proposed BAT-tuned fuzzy KNN classifier. The proposed classifier achieves the overall accuracy of 99.88%.
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Jacinth Poornima, J., J. Anitha, Asha Priya Henry, and D. Jude Hemanth. "Melanoma Classification Using Machine Learning Techniques." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia220712.

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Melanoma is the most deadly form of cancer which is easily curable if detected at the earlier stage. The main objective of this paper is to classify the Melanoma and Non-melanoma using dermoscopy images from the Med Node Dataset. The images are enhanced by bottomhat filter, and then segmentation is done by two methods 1. Morphological Operations, 2. Otsu Thresholding. The features extracted from the segmented lesions are ABCD features, Statistical features and is given to the classifier. The classification is done by Machine Learning Algorithms (FFNN, SVM, KNN). The performance is analysed by
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Ponticelli, Claudio, and Richard Glassock. "Other primary glomerular diseases." In Treatment of Primary Glomerulonephritis. Oxford University Press, 2009. http://dx.doi.org/10.1093/med/9780199552887.003.0011.

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Fibrillary glomerulonephritis (FGN) and immunotactoid glomerulopathy (ITG) are both glomerular diseases characterized histologically by a diffuse increase in mesangial matrix due to deposits having a fibrillary structure by electron microscopy, which are negative for Congo-red stains but positive for immunoglobulin deposition. Most patients present with proteinuria, often in a nephrotic range, microhematuria, and hypertension. Almost half of patients have a reduced renal function at presentation. Although FGN and ITG have quite similar light microscopical and clinical features the current opin
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Cavicchi, Daniel. "Does anybody Have any Faith out there tonight?" In Tramps Like Us. Oxford University PressNew York, NY, 1998. http://dx.doi.org/10.1093/oso/9780195118339.003.0003.

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Abstract “Fan” is a confusing word. Although it is regularly classified as slang, it has been used in English for almost three hundred years and has appeared in a variety of historical and social contexts.1 Most scholars trace the origin of “fan” to late- seventeenth-century England, where it was used as a colloquial abbreviation for “fanatic.” “Fanatic” connoted religious zealotry and was widely used at the time to refer to those who were mad, frenzied, or possessed (Oxford English Dictionary 1989, pp. 711, 712—713). “Fan,” however, became obsolete and did not reappear until the late 1800s in
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Conference papers on the topic "FNN Classifier"

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Ahmad Altounji, Nizar, Mohammad Anwar Assaad, and Ahmad Younso. "A Study on Flexible Bayes Classifier Using K-Nearest Neighbor Density Estimator." In 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE (CIC-COCOS'24). Cihan University-Erbil, 2024. http://dx.doi.org/10.24086/cocos2024/paper.1478.

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Naïve Bayes (NB) Classifier is considered one of the most widely used algorithms to solve classification problems due to its simplicity, high performance and fast computational process, which assumes that feature variables are independent and continuous variables follow gaussian distribution. Due to that most real-life applications may have feature variables that can’t be modeled by gaussian distribution, or may violate the independence assumption, Flexible Naïve Bayes (FNB) Classifier becomes more suitable, which estimates the densities using a non-parametric Kernel Density Estimator (KDE). I
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Pamu, Kunal, and Allam Mohan. "Whale Species Classifier Using Dorsal Fin And Lateral Body Characteristic." In 2023 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2023. http://dx.doi.org/10.1109/iccci56745.2023.10128494.

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Alrikabi, Hanan Ali, Wessam Annajjar, Ahmed Muqdad Alnasrallah, S. T. Mustafa, and Mohd Shafry Mohd Rahim. "Using FFNN Classifier with HOS-WPD Method for Epileptic Seizure Detection." In 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET). IEEE, 2019. http://dx.doi.org/10.1109/icsengt.2019.8906408.

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Dekhane, Azzeddine, Adel Djellal, Fouaz Boutebbakh, and Rabah Lakel. "Cooling Fan Combined Fault Vibration Analysis Using Convolutional Neural Network Classifier." In NISS2020: The 3rd International Conference on Networking, Information Systems & Security. ACM, 2020. http://dx.doi.org/10.1145/3386723.3387898.

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Li, Yao-lin, Jun Feng, Yan Ren, Qiu-ping Wang, and Bao-ying Chen. "Breast cancer detection based on mixture membership function with MFSVM-FKNN ensemble classifier." In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6234161.

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Padala, Manisha, and Sujit Gujar. "FNNC: Achieving Fairness through Neural Networks." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/315.

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In classification models, fairness can be ensured by solving a constrained optimization problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and Equalized Odds, which are non-decomposable and non-convex. Researchers define convex surrogates of the constraints and then apply convex optimization frameworks to obtain fair classifiers. Surrogates serve as an upper bound to the actual constraints, and convexifying fairness constraints is challenging. We propose a neural network-based framework, \emph{FNNC}, to achieve fairness while maintaining high accuracy in class
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Krishnamurthy, Santosh, and Yoav Peles. "Cross Flow Boiling in Micro-Pin Fin Heat Sinks." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42866.

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Flow boiling of water across a bank of circular staggered micro pin fins, 250 μm long and 100 μm diameter with pitch-to-diameter ratio of 1.5, was experimentally studied for mass fluxes ranging from 346 kg/m2s to 794 kg/m2s and surface heat fluxes ranging from 20 W/cm2 to 350 W/cm2. The local two-phase heat transfer coefficients were measured using thermistors located along the flow path of the channel. The flow was visualized and classified as vapor slug and annular flow patterns. Based on the observed flow patterns, the dominant heat transfer mechanism during boiling process was assumed to b
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Fukuta, Yuichi, Yuichiro Nomura, Toshiya Saruwatari, and Seiji Asada. "High Strain Rate Effects on Environment Assisted Fatigue for Austenitic Stainless Steels in PWR Environment." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97158.

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Current Japanese fatigue evaluations in the PWR environment are conducted using JSME S NF1 in which some parameters (temperature, strain rate, dissolved oxygen, etc.) are evaluated as influencing factors. However, it is assumed that the JSME Code would be conservative in high-strain-rate regions because the environmental factor (Fen) is evaluated by extrapolating experimental test results from a low strain rate (up to 0.4%/sec). In this study, experimental data are obtained additionally and Fen for high-strain-rate regions are reevaluated. As a result, it is confirmed that Fen at a strain rate
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Xu, F., J. C. Patterson, and C. Lei. "Visualization of the Thermal Flow Around a Thin Fin on the Hot Wall of a Differentially Heated Rectangular Cavity." In ASME 2006 2nd Joint U.S.-European Fluids Engineering Summer Meeting Collocated With the 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/fedsm2006-98206.

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The transient flow around a thin fin on the sidewall in a differentially heated cavity is visualized using a shadowgraph technique. The transition of the flow from sudden heating to a quasi-steady state may be classified into three stages: an early stage, a transitional stage and a quasi-steady stage. Such classifications are similar to those in the case with a smaller square fin on the sidewall (Xu et al., 2006). However, there are distinct differences of the flow features between the cases with a small square fin and a larger thin fin. In the early stage, a lower intrusion front forms below
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Liu, Zihao, and Xiang Wang. "Fast Solution of Schrödinger Equation Based on Complex One-Dimensional Potential Wells." In 2024 31st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/icone31-137072.

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Abstract The Schrödinger equation (SE) is a fundamental equation in quantum mechanics that describes the behavior of quantum systems. Solving the SE is crucial for understanding quantum phenomena, but it is a challenging task, particularly for complex potential wells, which require significant computational resources to obtain high accuracy by using traditional numerical methods. Recently, deep neural networks, such as Fourier neural operator (FNO), have made significant breakthroughs in solving partial differential equations. This paper explores solving the one-dimensional SE with diversified
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