Gotowe bibliografie tematyczne / Bigroup

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  1. Artykuły w czasopismach
  2. Książki
  3. Części książek
  4. Streszczenia konferencji

Gotowa bibliografia na temat „Bigroup”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Bigroup"

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Dr., M. Mary Jansi Rani, and Kiruthika S. "INTUITIONISTIC ANTIFUZZY SUB-BIGROUP." International Journal of Computational Research and Development 3, no. 1 (2018): 64–67. https://doi.org/10.5281/zenodo.1196606.

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In this paper we made an attempt to study the algebraic nature of intuitionistic antifuzzy sub-bigroup and intuitionistic bi-lower level subset of the antifuzzy sub-bigroup of the bigroup and discussed some of its properties with theorems.
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K. P., Sheena, and K. Uma Devi. "Homomorphism on bipolar-valued fuzzy sub-bigroup of a bigroup for secured data transmission over WSN." Automatika 64, no. 4 (2023): 956–63. http://dx.doi.org/10.1080/00051144.2023.2226945.

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G. Nirmala, G. Nirmala, and S. Priyadarshini S. Priyadarshini. "P-Fuzzy Sub- Bigroup and its Properties." International Journal of Scientific Research 2, no. 9 (2012): 257–58. http://dx.doi.org/10.15373/22778179/sep2013/85.

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Muthuraj, R., M. Rajinikannan, and M. S. Muthuraman. "A Study on Anti Fuzzy Sub-Bigroup." International Journal of Computer Applications 2, no. 1 (2010): 31–35. http://dx.doi.org/10.5120/614-865.

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Prabu, T. Justin, and K. Arju nan. "Translations of Q-Intuitionistic Fuzzy Subbigroup of a Bigroup." International Journal of Mathematics Trends and Technology 64, no. 1 (2018): 1–5. http://dx.doi.org/10.14445/22315373/ijmtt-v64p501.

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Shao, Lushan, Bo Xu, Wen Ma, Jingyu Wang, Yanting Liu, and Lijun Qian. "Flame retardant application of a hypophosphite/cyclotetrasiloxane bigroup compound on polycarbonate." Journal of Applied Polymer Science 137, no. 14 (2019): 48699. http://dx.doi.org/10.1002/app.48699.

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Qiu, Yong, Lijun Qian, Haisheng Feng, Shanglin Jin, and Jianwei Hao. "Toughening Effect and Flame-Retardant Behaviors of Phosphaphenanthrene/Phenylsiloxane Bigroup Macromolecules in Epoxy Thermoset." Macromolecules 51, no. 23 (2018): 9992–10002. http://dx.doi.org/10.1021/acs.macromol.8b02090.

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Azhar, Aziz Sangoor. "Bigraph in GraphTheory." Journal of Progressive Research in Mathematics 15, no. 1 (2019): 2585–93. https://doi.org/10.5281/zenodo.3974094.

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In this paper we study bigraph in graph theory and discussed properties bigraph of some type graph, we study odd complete graph and even complete graph has bigraph such that when partition graph into two part 𝐺1 , 𝐺2 , if even complete graph such 𝐺1 is odd complete graph after partition and 𝐺2 is not complete graph, either if odd complete graph such 𝐺1 is even complete graph after partition and 𝐺2 is not complete graph, we study regular graph for me bigraph too we get after partition 𝐺1 either odd complete graph or even complete graph, will we discuss the status every bigraph is disconnected g
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N., Duraimanickam, and Deepica N. "ALGEBRAIC STRUCTURE OF UNION OF FUZZY SUBGROUPS AND FUZZY SUB-BIGROUPS." International Journal of Current Research and Modern Education, Special Issue (August 16, 2017): 95–99. https://doi.org/10.5281/zenodo.844069.

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Sita, Rani. "Lyrebird Optimization for Bidirectional Gated Recurrent Unit-Based Risk Prediction in Supply Chain Management." Journal of Advancement in Software Engineering and Testing 8, no. 1 (2024): 13–21. https://doi.org/10.5281/zenodo.13985908.

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<em>The interconnectivity and globalization of today's world have made supply chains more complex than ever. Production, delivery, and profitability are increasingly vulnerable to unforeseen disruptions. This study introduces a novel approach to proactive risk prediction in supply chains using deep learning techniques. Inspired by the Lyrebird Optimization Algorithm (LOA), our proposed method employs a Bidirectional Gated Recurrent Unit (BiGRU). BiGRUs excel at processing sequential data, such as supply chain metrics, due to their remarkable ability to capture temporal relationships within the
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Książki na temat "Bigroup"

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Smoot, Laura Marie. Molecular and genetic analysis of potential virulence determinants harbored by the Brazilian purpuric fever clone of H. influenzae bigroup aegyptius. 1999.

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Meadows, Daisy. Bertie Bigroar Finds His Voice. Hachette Children's Group, 2018.

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Części książek na temat "Bigroup"

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Malhotra, Ruchika, and Priya Singh. "CodeBERT-BiGRU for Software Defect Prediction." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91340-2_22.

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Wang, Jiaming, Kai Yang, Wei Cong, MinJing Li, Lihui Bai, and Xu An Wang. "Network Intrusion Detection Based on CNN-BiGRU." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87781-0_7.

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Yuan, Lijuan, Zhiyong Zeng, Yikang Lu, Xiaofeng Ou, and Tao Feng. "A Character-Level BiGRU-Attention for Phishing Classification." In Information and Communications Security. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41579-2_43.

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Wei, Kai, Qing Li, Yi Yao, and Yeqing Sun. "Use of Temporal Convolutional Network with an Attention Mechanism and a Bidirectional Gated Recurrent Unit to Capture and Predict Slope Debris Flow Risk." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4355-1_6.

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AbstractA novel approach for predicting slope debris flow risk is proposed to address the issue of single-factor data modeling in current slope debris flow risk prediction. The DA-TCN-BiGRU approach combines the dual attention mechanism, temporal convolutional network, and bidirectional gated recurrent unit. Based on the slope debris flow simulation platform, rainfall, soil shear wave velocity, surface displacement, soil pressure and soil moisture data are collected. The data warning features of debris flow risk are captured using the TOSIS entropy method, and the risk level of the slope debri
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Fan, Xiangyu, Jilong Yang, Wei Zhao, Jincheng Deng, and Fangming Liu. "Webpage Tampering Detection Method Based on BiGRU-CRF-RCNN." In Communications in Computer and Information Science. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8285-9_8.

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AbstractWith the development of the Internet, cyber security events occur frequently, especially webpage tampering events account for a high proportion. In response to this phenomenon, this paper constructs a webpage tampering detection framework BCR. Based on the webpage to be detected, the webpage text data is segmented and extracted according to the webpage structure, the text features are extracted by using BiGRU model combined with context dependence, and then combined with the CRF to learn sequence state labeling named entities, the word vector is constructed by the extracted named entit
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Bappi, Md Basitur Rahman, S. M. Masfequier Rahman Swapno, Sumiya Akhter, and M. M. Fazle Rabbi. "Deploying Hybrid VGG19-BiGRU Model for Kidney Disease Segmentation." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66336-9_4.

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Song, Shuxiao, Xiao Yu, Yuexuan Ma, Jiale Li, and Jie Yu. "Multi-model Smart Contract Vulnerability Detection Based on BiGRU." In Communications in Computer and Information Science. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8132-8_1.

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Zeng, Weidong, Hongshan Yang, and Yong Wang. "Intrusion Detection Based on Feature Selection and Transformer BiGRU." In Communications in Computer and Information Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8743-2_10.

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Gupta, Ayush, Jitendra Patil, Somesh Soni, and Alpana Rajan. "Email Spam Detection Using Multi-head CNN-BiGRU Network." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28180-8_3.

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Lv, Da, Chao Zhang, Hongbo Fei, Wentao Zhao, Changhao Dong, and Yongzhi Pang. "Life Prediction of Wind Turbine Based on Attention-BiGRU." In Mechanisms and Machine Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26193-0_31.

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Streszczenia konferencji na temat "Bigroup"

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Zhang, Shixiong, Hao Li, Cunzheng Fan, Baoqiang Yan, Zhijun Yan, and Qizhen Sun. "An Anti-interference network of CNN-BiGRU for Pipeline Corrosion Recognition with Fiber Optic DAS System." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.am2a.1.

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An anti-interference network of CNN-BiGRU for pipeline corrosion recognition assisted with fiber optic DAS system is proposed. For the recognition of seven corrosion degrees in high-interference environment, the proposed model trained on data from one pipeline, can achieve the average accuracy of 83.4% for other pipelines.
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Shu, Xin, Xinping Long, and Ying Ma. "BiGRU Based Text Intent Recognition." In 2024 6th International Workshop on Artificial Intelligence and Education (WAIE). IEEE, 2024. https://doi.org/10.1109/waie63876.2024.00068.

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Wu, Yue, Yingjun Chen, and Wei Yao. "Traffic Speed Forecasting using GCN and BiGRU." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696740.

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Xiong, Rongling. "BiGRU-Attention-Based Specific Emitter Identification Method." In 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI). IEEE, 2024. https://doi.org/10.1109/ricai64321.2024.10911833.

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Zhang, Jiajing, Yunli Zhang, Jinlan Chen, and Shufeng Chen. "CRDB: Commodity Recommendation Model Combining DGNN and BiGRU." In 2024 17th International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2024. https://doi.org/10.1109/icacte62428.2024.10871901.

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Zhou, Xiaomin, Junpo Liu, and Muzhuang Guo. "Target Ship Trajectory Prediction Based on WOA-BIGRU." In 2024 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC). IEEE, 2024. https://doi.org/10.1109/csis-iac63491.2024.10919445.

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Priya, K., K. Yashwanth, A. Bhuvaneshwar, and P. Veeresh. "Enhancing Speech Emotion Recognition Accuracy using BiGRU Network." In 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2025. https://doi.org/10.1109/icssas66150.2025.11081375.

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Wang, Kailong. "Attention-based BiGRU-CNN for system log anomaly detection." In 2024 4th International Symposium on Computer Technology and Information Science (ISCTIS). IEEE, 2024. http://dx.doi.org/10.1109/isctis63324.2024.10698966.

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He, Yongqiang, Letai Shi, Huiqin Wang, Bincan Liu, and Xiaojuan Li. "Dynamic Displacement Response TCN-BiGRU Prediction of Isolation Bearings." In 2024 IEEE 12th International Conference on Information, Communication and Networks (ICICN). IEEE, 2024. https://doi.org/10.1109/icicn62625.2024.10761810.

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Lu, Bo, Guoqing Yang, Jinglong Jia, Ke Li, Kai Wang, and Long Yang. "Transformer Data Correction Approaches Based on GMM and BiGRU." In 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2024. https://doi.org/10.1109/appeec61255.2024.10922574.

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