Relevant bibliographies by topics / Detector logic network

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

Academic literature on the topic 'Detector logic network'

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

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Journal articles on the topic "Detector logic network"

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Sarath kumar, A., M. Durga Kaveri, K. B.V Bhargavi, N. Naga Swetha, and K. Priyanka. "Efficient Routing In Wsn Using Enhanced Fuzzy Logic." International Journal of Engineering & Technology 7, no. 2.17 (2018): 108. http://dx.doi.org/10.14419/ijet.v7i2.17.11719.

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In order to gather info additional precisely, wireless detector networks (WSNs) square measure divided into clusters. The cluster provides a good merit to make longer the period of WSNs. Topical clump comes close to usually use 2 methods: choosing cluster heads with additional enduring energy, and turning cluster heads sporadically, to distribute the energy consumption among nodes in every cluster and extend the network period. However, most of the previous algorithms haven't thought of the expected residual energy, that is, that the predicated left behind energy for being hand-picked as a clu
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Tang, Xiaoyu, Sijia Xu, and Hui Ye. "Labeling Expert: A New Multi-Network Anomaly Detection Architecture Based on LNN-RLSTM." Applied Sciences 13, no. 1 (2022): 581. http://dx.doi.org/10.3390/app13010581.

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In network edge computing scenarios, close monitoring of network data and anomaly detection is critical for Internet services. Although a variety of anomaly detectors have been proposed by many scholars, few of these take into account the anomalies of the data in business logic. Expert labeling of business logic exceptions is also very important for detection. Most exception detection algorithms focus on problems, such as numerical exceptions, missed exceptions and false exceptions, but they ignore the existence of business logic exceptions, which brings a whole new challenge to exception dete
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Erdinç, Gizem, Chiara Colombaroni, and Gaetano Fusco. "Two-Stage Fuzzy Traffic Congestion Detector." Future Transportation 3, no. 3 (2023): 840–57. http://dx.doi.org/10.3390/futuretransp3030047.

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This paper presents a two-stage fuzzy-logic application based on the Mamdani inference method to classify the observed road traffic conditions. It was tested using real data extracted from the Padua–Venice motorway in Italy, which contains a dense monitoring network that provides continuous measurements of flow, occupancy, and speed. The data collected indicate that the traffic flow characteristics of the road network are highly perturbed in oversaturated conditions, suggesting that a fuzzy approach might be more convenient than a deterministic one. Furthermore, since drivers have a vague noti
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Villarreal Campos, Carlos Alberto, and Eduardo Caicedo Bravo. "Computational Intelligence Techniques Applied to Coagulant Estimation Models in Water Purification Process." Revista Facultad de Ingeniería Universidad de Antioquia, no. 69 (January 20, 2014): 205–15. http://dx.doi.org/10.17533/udea.redin.18150.

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Four coagulant estimation models in water purification process are presented. For its developing computational intelligence techniques are used, which include neural networks, fuzzy logic (Sugeno and Mamdani type) and ANFIS structures. The methodology described is based on the operator's experience extraction from operational historical data (in neural network, fuzzy logic Sugeno type and ANFIS case), and the linguistic information given by an experimented plant operator (in fuzzy logic Mamdani type case). According to the reached results, by applying some of this models in a control system st
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Chen, Xiyue, and Jianmin Pang. "Temporal Logic-Based Artificial Immune System for Intrusion Detection." Wireless Communications and Mobile Computing 2022 (March 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/4685754.

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Artificial immune system has made many contributions to network security areas, but there are still problems of insufficient detection range and high time cost. This paper presents a Hybrid Detector (HD) mechanism in which temporal logic antigens are proposed. The HD mechanism is constructed by using the advantage of temporal logic to describe time-varying behaviors in system. Finally, simulation experiments were carried out on KDD99 and NSL-KDD datasets. Experimental results show that the proposed method can extend the detection range and improve the detection rate. This work proves the possi
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Li, Jishuai, Tengfei Tu, Yongsheng Li, Sujuan Qin, Yijie Shi, and Qiaoyan Wen. "DoSGuard: Mitigating Denial-of-Service Attacks in Software-Defined Networks." Sensors 22, no. 3 (2022): 1061. http://dx.doi.org/10.3390/s22031061.

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Software-defined networking (SDN) is a new networking paradigm that realizes the fast management and optimal configuration of network resources by decoupling control logic and forwarding functions. However, centralized network architecture brings new security problems, and denial-of-service (DoS) attacks are among the most critical threats. Due to the lack of an effective message-verification mechanism in SDN, attackers can easily launch a DoS attack by faking the source address information. This paper presents DoSGuard, an efficient and protocol-independent defense framework for SDN networks
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Bai, Li Fang, and Jin Xue Xu. "Research on Urban Traffic Signal Control Method at Single Intersection." Advanced Materials Research 361-363 (October 2011): 1799–802. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1799.

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A fuzzy logic controller is presented for a four-phase isolated signalized intersection on normal and abnormal conditions. It controls the traffic light timings to ensure smooth flow of traffic with minimal delay, according to the real-time traffic flow information detected by the vehicle detector. A new controller is proposed, in which the fuzzy membership functions are optimized by neural network and the control rules are optimized by genetic algorithm. Results show that the traditional fuzzy controller achieves good control effect and the performance of the controller optimized is better th
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Ammendola, R., A. Biagioni, A. Ciardiello, et al. "Progress report on the online processing upgrade at the NA62 experiment." Journal of Instrumentation 17, no. 04 (2022): C04002. http://dx.doi.org/10.1088/1748-0221/17/04/c04002.

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Abstract A new FPGA-based low-level trigger processor has been installed at the NA62 experiment. It is intended to extend the features of its predecessor due to a faster interconnection technology and additional logic resources available on the new platform. With the aim of improving trigger selectivity and exploring new architectures for complex trigger computation, a GPU system has been developed and a neural network on FPGA is in progress. They both process data streams from the ring imaging Cherenkov detector of the experiment to extract in real time high level features for the trigger log
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Pappachen James, Alex, Anusha Pachentavida, and Sherin Sugathan. "Edge detection using resistive threshold logic networks with CMOS flash memories." International Journal of Intelligent Computing and Cybernetics 7, no. 1 (2014): 79–94. http://dx.doi.org/10.1108/ijicc-06-2013-0032.

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Purpose – The purpose of this paper is to present a new approach to edge detection using semiconductor flash memory networks having scalable and parallel hardware architecture. Design/methodology/approach – A flash cell can store multiple states by controlling its voltage threshold. The equivalent resistance of the operation states controlled by threshold voltage of flash cell gives out different combinations of logic 0 and 1 states. The paper explores this basic feature of flash memory in designing a resistance change memory network for implementing novel edge detector hardware. This approach
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Ribeiro, Bendito Freitas, and Yasuhiro Takahashi. "Optimizing Energy/Current Fluctuation of RF-Powered Secure Adiabatic Logic for IoT Devices." Sensors 25, no. 14 (2025): 4419. https://doi.org/10.3390/s25144419.

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The advancement of Internet of Things (IoT) technology has enabled battery-powered devices to be deployed across a wide range of applications; however, it also introduces challenges such as high energy consumption and security vulnerabilities. To address these issues, adiabatic logic circuits offer a promising solution for achieving energy efficiency and enhancing the security of IoT devices. Adiabatic logic circuits are well suited for energy harvesting systems, especially in applications such as sensor nodes, RFID tags, and other IoT implementations. In these systems, the harvested bipolar s
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Dissertations / Theses on the topic "Detector logic network"

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Ahmed, Abdulbasit. "Online network intrusion detection system using temporal logic and stream data processing." Thesis, University of Liverpool, 2013. http://livrepository.liverpool.ac.uk/12153/.

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These days, the world is becoming more interconnected, and the Internet has dominated the ways to communicate or to do business. Network security measures must be taken to protect the organization environment. Among these security measures are the intrusion detection systems. These systems aim to detect the actions that attempt to compromise the confidentiality, availability, and integrity of a resource by monitoring the events occurring in computer systems and/or networks. The increasing amounts of data that are transmitted at higher and higher speed networks created a challenging problem for
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Wong, Alfred Ka Yiu Computer Science &amp Engineering Faculty of Engineering UNSW. "Ontology mapping: a logic-based approach with applications in selected domains." Publisher:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41103.

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In advent of the Semantic Web and recent standardization efforts, Ontology has quickly become a popular and core semantic technology. Ontology is seen as a solution provider to knowledge based systems. It facilitates tasks such as knowledge sharing, reuse and intelligent processing by computer agents. A key problem addressed by Ontology is the semantic interoperability problem. Interoperability in general is a common problem in different domain applications and semantic interoperability is the hardest and an ongoing research problem. It is required for systems to exchange knowledge and having
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Hessel, Günther, Frank-Peter Weiß, and Wilfried Schmitt. "Acoustic Leak Detection at Complicated Geometrical Structures Using Fuzzy Logic and Neural Networks." Forschungszentrum Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:d120-qucosa-32699.

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Methods of acoustic leak monitoring are of great practical interest for the safety of pressure vessels and pipe lines not only at the primary circuit of nuclear power plants. In this report some aspects of acoustic leak localization at complicated three-dimensional topologies for the case of leakage monitoring at the reactor vessel head of a VVER-440 are discussed. An acoustic method based on pattern recognition is being developed. During the learning phase, the localization classifier is trained with sound patterns that are generated with simulated leaks at all locations endangered by leak.
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Hessel, Günther, Frank-Peter Weiß, and Wilfried Schmitt. "Acoustic Leak Detection at Complicated Geometrical Structures Using Fuzzy Logic and Neural Networks." Forschungszentrum Rossendorf, 1993. https://hzdr.qucosa.de/id/qucosa%3A22096.

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Methods of acoustic leak monitoring are of great practical interest for the safety of pressure vessels and pipe lines not only at the primary circuit of nuclear power plants. In this report some aspects of acoustic leak localization at complicated three-dimensional topologies for the case of leakage monitoring at the reactor vessel head of a VVER-440 are discussed. An acoustic method based on pattern recognition is being developed. During the learning phase, the localization classifier is trained with sound patterns that are generated with simulated leaks at all locations endangered by leak.
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Hassanzadeh, Reza. "Anomaly detection in online social networks : using data-mining techniques and fuzzy logic." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/78679/1/Reza_Hassanzadeh_Thesis.pdf.

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This research is a step forward in improving the accuracy of detecting anomaly in a data graph representing connectivity between people in an online social network. The proposed hybrid methods are based on fuzzy machine learning techniques utilising different types of structural input features. The methods are presented within a multi-layered framework which provides the full requirements needed for finding anomalies in data graphs generated from online social networks, including data modelling and analysis, labelling, and evaluation.
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Neville, Stephen William. "Approaches for early fault detection in large-scale engineering plants." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0003/NQ34278.pdf.

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Lam, Chi-kan. "Detection of air leaks using pattern recognition techniques and neurofuzzy networks /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21981826.

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林智勤 and Chi-kan Lam. "Detection of air leaks using pattern recognition techniques and neurofuzzy networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222833.

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Silva, Henrique Ventura da. "Utilização de logica nebulosa na detecção de vazamentos em dutos." [s.n.], 2003. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263644.

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Orientadores: Celso Kazuyuki Morooka, Ivan Rizzo Guilherme<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica, Instituto de Geociencias<br>Made available in DSpace on 2018-08-03T22:11:53Z (GMT). No. of bitstreams: 1 Silva_HenriqueVenturada_M.pdf: 6776642 bytes, checksum: 0f63d0ee9cc11e83387d78ccd3d5500c (MD5) Previous issue date: 2003<br>Resumo: O meio mais eficiente e econômico para transportar derivados de petróleo são os dutos. Porém, o controle dos riscos associados a um vazamento acidental é fundamental. Esta questão tem motivado o desenvolvi
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Liu, Bin. "Channel aware distributed detection in wireless sensor networks." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2006. http://proquest.umi.com/login?COPT=REJTPTU0NWQmSU5UPTAmVkVSPTI=&clientId=3739.

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Books on the topic "Detector logic network"

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Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection. World Scientific Publishing Co Pte Ltd, 1997.

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Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection. World Scientific Publishing Co Pte Ltd, 1997.

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Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection. World Scientific, 1997.

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Lefroy, Ted, Allan Curtis, Anthony Jakeman, and James McKee, eds. Landscape Logic. CSIRO Publishing, 2012. http://dx.doi.org/10.1071/9780643103559.

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In 2005, researchers from four Australian universities and CSIRO joined forces with environmental managers from three state agencies and six regional catchment management authorities to answer the question: 'Can we detect the influence of public environmental programs on the condition of our natural resources?' This was prompted by a series of national audits of Australia's environmental programs that could find no evidence of public investment improving the condition of waterways, soils and native vegetation, despite major public programs investing more than $4.2 billion in environmental repa
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Paulo Guimarães, João. Experimental American Poetry and the New Organic Form. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350414914.

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Arguing that the 19th century concept of “living form” (the idea that, like an organism, a poem develops itself from within, according to an internal logic) is not, as some critics have argued, anathema to avant-garde writing, this book contends that the concept survived and flourished in the work of a number of contemporary experimental poets.Indebted to 19th century science, the notion of a “living form” endured throughout the 20th century and the poetic vanguard’s word games and collages mirrored the disjunctive frameworks that redefined how scientists made sense of life in the age of netwo
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Book chapters on the topic "Detector logic network"

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Roan, Huang-Chun, Chien-Min Ou, Wen-Jyi Hwang, and Chia-Tien Dan Lo. "Efficient Logic Circuit for Network Intrusion Detection." In Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802167_78.

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Gorodnichy, D. O., W. W. Armstrong, and X. Li. "Adaptive logic networks for facial feature detection." In Image Analysis and Processing. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63508-4_140.

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Rastogi, Nimish, Harshita Piyush, Siddhant Singh, Shrishti Jaiswal, and Monika Malik. "Fuzzy Logic Application for Early Landslide Detection." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0483-9_41.

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Alnuman, Rashed, Qusai Hasan, Sahar Abdelbasit, Ammar Albanna, and Huda Saadeh. "Detection of Rogue ICMP Traffic Using Fuzzy Logic." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-4892-1_37.

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Clark, Christopher R., and David E. Schimmel. "Efficient Reconfigurable Logic Circuits for Matching Complex Network Intrusion Detection Patterns." In Field Programmable Logic and Application. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45234-8_94.

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Bozdal, Mehmet. "Temporal Logic-Based Intrusion Detection for Securing Connected Vehicles." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73344-4_48.

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Jurcut, Anca D., Tom Coffey, and Reiner Dojen. "On the Prevention and Detection of Replay Attacks Using a Logic-Based Verification Tool." In Computer Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07941-7_13.

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Pomorova, Oksana, Oleg Savenko, Sergii Lysenko, and Andrii Kryshchuk. "Multi-agent Based Approach for Botnet Detection in a Corporate Area Network Using Fuzzy Logic." In Computer Networks. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38865-1_16.

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Chowdhury, Tanjia, Tanjim Mahmud, Ashif Bin Hossain, et al. "Utilizing Fuzzy Logic for Autism Detection: An Expert System Framework." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-50887-5_6.

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Vijayalakshmi, L., and M. Sornam. "Tomato Disease Detection Using Convolutional Neural Network and Fuzzy Logic." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2674-6_28.

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Conference papers on the topic "Detector logic network"

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Drexler, Dominik, Simon Ståhlberg, Blai Bonet, and Hector Geffner. "Symmetries and Expressive Requirements for Learning General Policies." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/79.

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State symmetries play an important role in planning and generalized planning. In the first case, state symmetries can be used to reduce the size of the search; in the second, to reduce the size of the training set. In the case of general planning, however, it is also critical to distinguish non-symmetric states, i.e., states that represent non-isomorphic relational structures. However, while the language of first-order logic distinguishes non-symmetric states, the languages and architectures used to represent and learn general policies do not. In particular, recent approaches for learning gene
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Reddy, Samreddy Pooja, and A. Praveen Kumar. "Optimizing Defect Detection in Elastic Optical Networks using a Deep Neural Network and Fuzzy Logic." In 2024 9th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10859759.

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Aknesil, Can, Elena Dubrova, Niklas Lindskog, Jakob Sternby, and Håkan Englund. "Hybrid Fingerprinting for Effective Detection of Cloned Neural Networks." In 2025 IEEE 55th International Symposium on Multiple-Valued Logic (ISMVL). IEEE, 2025. https://doi.org/10.1109/ismvl64713.2025.00033.

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Kutuzov, Denis, Alexey Osovsky, Nataliya Maltseva, Dmitriy Starov, and Vladimir Esaulenko. "Congestion Detection in Network-on-Chip Systems Based on Fuzzy Logic." In 2025 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF). IEEE, 2025. https://doi.org/10.1109/weconf65186.2025.11017059.

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Huang, Jinglian, and Xiujuan Yuan. "The e-derivative Boolean differential equation and logic circuit detection." In 2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT). IEEE, 2025. https://doi.org/10.1109/cniot65435.2025.11071012.

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Syamlan, Muhammad Ariq, Raihan Aria Muhamad Noor, Alif Syihabudin Fawwaz S., et al. "Fuzzy Logic-Based Fall Detection System for Elderly Using a Single Inertial Measurement Unit." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882737.

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Blemel, Ken G. "Reactive Prognostic Management of Corrosion with Autonomous Sensors." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00294.

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Abstract This paper presents a new technology that holds promise for use in idealized "futuristic" systems for in-situ corrosion detection and remediation. New technologies are needed as recent studies show the U.S. Government spends up to $125B per year to detect, protect, and repair damage caused by corrosion. This article is a report on how the US Naval Air Systems Command (NAVAIR) has initiated several Health Usage Monitoring (HUM) and Sentient Health Management (SHM) programs to study and combat chemical corrosion. Because of the corrosive nature of the naval environment, NAVAIR is pursui
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Wang, Fangfang, Hui Shu, Hao Zhao, and Fei Kang. "SLI-YOLO: A Lightweight Unauthorized Login Detection Model Based on Multiscale Convolutional Attention." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650043.

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Pratama, Ari, Rendy Munadi, and Ratna Mayasari. "Design and implementation of flood detector using wireless sensor network with mamdani's fuzzy logic method." In 2017 2nd International Conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2017. http://dx.doi.org/10.1109/icitisee.2017.8285493.

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Casolino, Marco, M. Candusso, M. P. DePascale, Aldo Morselli, Piergiorgio Picozza, and M. Ricci. "Study and optimization of a neural network with fuzzy logic preprocessing for particle identification on a cosmic ray detector." In SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, edited by Bruno Bosacchi and James C. Bezdek. SPIE, 1995. http://dx.doi.org/10.1117/12.211797.

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