Academic literature on the topic 'Hybrid deep-STTF feature learning'
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Journal articles on the topic "Hybrid deep-STTF feature learning"
Margesh, Keskar, and D. Maktedar Dhananjay. "Hybrid deep-spatio textural feature model for medicinal plant disease classification." Hybrid deep-spatio textural feature model for medicinal plant disease classification 30, no. 1 (2023): 356–65. https://doi.org/10.11591/ijeecs.v30.i1.pp356-365.
Full textKeskar, Margesh, and Dhananjay D. Maktedar. "Hybrid deep-spatio textural feature model for medicinal plant disease classification." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 1 (2023): 356. http://dx.doi.org/10.11591/ijeecs.v30.i1.pp356-365.
Full textDr.Devaraj Verma C, Shruthishree S. H, Dr Harshvardhan Tiwari,. "AlexResNet+: A Deep Hybrid Featured Machine Learning Model for Breast Cancer Tissue Classification." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 2420–38. http://dx.doi.org/10.17762/turcomat.v12i6.5686.
Full textSetiadi, De Rosal Ignatius Moses, Ajib Susanto, Kristiawan Nugroho, Ahmad Rofiqul Muslikh, Arnold Adimabua Ojugo, and Hong-Seng Gan. "Rice Yield Forecasting Using Hybrid Quantum Deep Learning Model." Computers 13, no. 8 (2024): 191. http://dx.doi.org/10.3390/computers13080191.
Full textYogesh, N., Purohit Shrinivasacharya, Nagaraj Naik, and B. M. Vikranth. "Chronic kidney Disease Classification through Hybrid Feature Selection and Ensemble Deep Learning." International Journal of Statistics in Medical Research 14 (March 3, 2025): 109–17. https://doi.org/10.6000/1929-6029.2025.14.11.
Full textSudeep K. Hase, Rashmi Soni. "Hybrid Feature Selection on Social Media Dataset for Sentiment Classification using Deep Learning Techniques." Communications on Applied Nonlinear Analysis 32, no. 9s (2025): 1899–918. https://doi.org/10.52783/cana.v32.4362.
Full textSaproo, Dimple, Aparna N. Mahajan, Seema Narwal, and Niranjan Yadav. "Deep Feature Extraction and Classification of Diabetic Retinopathy Images using a Hybrid Approach." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 21475–81. https://doi.org/10.48084/etasr.10188.
Full textChu, Yinghao, Chen Huang, Xiaodan Xie, Bohai Tan, Shyam Kamal, and Xiaogang Xiong. "Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling." Computational Intelligence and Neuroscience 2018 (November 1, 2018): 1–9. http://dx.doi.org/10.1155/2018/5060857.
Full textAtteia, Ghada, Michael J. Collins, Abeer D. Algarni, and Nagwan Abdel Samee. "Deep-Learning-Based Feature Extraction Approach for Significant Wave Height Prediction in SAR Mode Altimeter Data." Remote Sensing 14, no. 21 (2022): 5569. http://dx.doi.org/10.3390/rs14215569.
Full textKanyal, Hoshiyar Singh, Prakash Joshi, Jitendra Kumar Seth, Arnika, and Tarun Kumar Sharma. "A Hybrid Deep Learning Framework for MRI-Based Brain Tumor Classification Processing." International Journal of Experimental Research and Review 46 (December 30, 2024): 165–76. https://doi.org/10.52756/ijerr.2024.v46.013.
Full textDissertations / Theses on the topic "Hybrid deep-STTF feature learning"
Nassar, Alaa S. N. "A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/16917.
Full textPan, Hsiang-Hua, and 潘香樺. "A Deep Learning Framework with Region Features and Hybrid Regression for Age Estimation." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/dazdp6.
Full textBook chapters on the topic "Hybrid deep-STTF feature learning"
Jena, Pradeep Kumar, Bonomali Khuntia, Sarbajit Mohanty, and Charulata Palai. "Multimodal Face Recognition System Using Hybrid Deep Learning Feature." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-4359-9_19.
Full textKadhar, S. A. Abdul, and S. Brintha Rajakumari. "Fake News Classification Using Feature Based Hybrid Deep Learning." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86293-9_21.
Full textKhaire, Utkarsh Mahadeo, R. Dhanalakshmi, and K. Balakrishnan. "Hybrid Marine Predator Algorithm with Simulated Annealing for Feature Selection." In Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications. CRC Press, 2022. http://dx.doi.org/10.1201/9781003226147-7.
Full textVerma, Jyoti, Isha Kansal, Renu Popli, et al. "A Hybrid Images Deep Trained Feature Extraction and Ensemble Learning Models for Classification of Multi Disease in Fundus Images." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59091-7_14.
Full textLiu, Siqi, Daguang Xu, S. Kevin Zhou, Sasa Grbic, Weidong Cai, and Dorin Comaniciu. "Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images." In Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13969-8_10.
Full textMuduli, Debendra, Santosh Kumar Sharma, Debasish Pradhan, Madhusmita Das, Suryakanta Mahapatra, and Saroj Kumar sahoo. "A Hybrid Deep Learning Approach for COVID-19 Detection: Feature Fusion and SVM Classification." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8093-8_8.
Full textKrishnachalitha, K. C., and C. Priya. "Wireless Sensor Network-Based Hybrid Intrusion Detection System on Feature Extraction Deep Learning and Reinforcement Learning Techniques." In Intelligent Computing and Innovation on Data Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3284-9_38.
Full textAkanksha, Akanksha. "Tamil Language Automatic Speech Recognition Based on Integrated Feature Extraction and Hybrid Deep Learning Model." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9719-8_23.
Full textKaur, Jasleen, and Jatinderkumar Saini. "Deep Learning and Super-Hybrid Textual Feature Based Multi-category Thematic Classifier for Punjabi Poetry." In Applied Computational Technologies. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2719-5_5.
Full textWei, Xiongfei, Jing Wang, Yi Ruan, and Yuanjie Fang. "Wind Power Forecasting Model Based on Feature Processing and Deep Hybrid Kernel Extreme Learning Machine." In Communications in Computer and Information Science. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-96-0232-2_8.
Full textConference papers on the topic "Hybrid deep-STTF feature learning"
Sreepadh, A. S., P. Sheshu, R. G. Reshiha, T. Vinay Kumar, and Gurusamy Jeyakumar. "A Hybrid Feature Selection Model for Early Prediction of Metabolic Syndrome." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933207.
Full textYuvalatha, S., S. Nithyapriya, R. Tamizh Kuzhali, S. Savitha, S. K. Muthusundar, and Antonidoss A. "Capsule-Infused Vision Transformer: A Hybrid Deep Learning for Hierarchical Feature Learning." In 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG). IEEE, 2024. https://doi.org/10.1109/icstsdg61998.2024.11026478.
Full textYue, Yuan, Jeremiah D. Deng, Tapabrata Chakraborti, Dirk De Ridder, and Patrick Manning. "Unsupervised Hybrid Deep Feature Encoder for Robust Feature Learning from Resting-State EEG Data." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10781741.
Full textZaman, Wasim, Muhammad Farooq Siddique, and Jong-Myon Kim. "Centrifugal Pump Fault Detection with Hybrid Feature Pool and Deep Learning." In 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE, 2023. http://dx.doi.org/10.1109/ibcast59916.2023.10712967.
Full textShyamala, N., and S. Mahaboob Basha. "Hybrid Deep Learning Model for Robust Brain Tumor Detection: Integrating Filtering and Feature Extraction." In 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2025. https://doi.org/10.1109/icoei65986.2025.11013737.
Full textDongre, Aditya Kumar, and G. Kalaiarasi. "A Survey on Fake News Detection Using Multivariate Feature Selection and Hybrid Deep Learning Approach." In 2025 1st International Conference on AIML-Applications for Engineering & Technology (ICAET). IEEE, 2025. https://doi.org/10.1109/icaet63349.2025.10932142.
Full textGowthamy, J., C. Suleka, W. Kenitawin Helena Pereira, and P. Monish Kumar. "Towards Smart Hybrid Feature Analysis and Deep neuroevolutionary Brain Tumour Prediction based on Transfer Learning." In 2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024. https://doi.org/10.1109/iconat61936.2024.10774740.
Full textPonemash, Oleksandr, A. A. M. Muzahid, Reda Lamtoueh, Hua Han, Yujin Zhang, and Ferdous Sohel. "Hybrid Feature Extraction for 12-Lead Ecg Classification by Integrating Handcrafted and Deep Learning Techniques." In 2025 17th International Conference on Computer and Automation Engineering (ICCAE). IEEE, 2025. https://doi.org/10.1109/iccae64891.2025.10980605.
Full textMahendra, Wahyu Nata, and Erwin Budi Setiawan. "Detection of Depression on Social Media X With FastText Feature Expansion Using Hybrid Deep Learning CNN-GRU." In 2025 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS). IEEE, 2025. https://doi.org/10.1109/icadeis65852.2025.10933068.
Full textBunterngchit, Chayut, Thanaphon Chearanai, and Yuthachai Bunterngchit. "Towards Robust Cross-Subject EEG-fNIRS Classification: A Hybrid Deep Learning Model with Optimized Feature Selection." In 2024 22nd International Conference on Research and Education in Mechatronics (REM). IEEE, 2024. http://dx.doi.org/10.1109/rem63063.2024.10735694.
Full textReports on the topic "Hybrid deep-STTF feature learning"
Pasupuleti, Murali Krishna. Quantum-Enhanced Machine Learning: Harnessing Quantum Computing for Next-Generation AI Systems. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv125.
Full textFerdaus, Md Meftahul, Mahdi Abdelguerfi, Elias Ioup, et al. KANICE : Kolmogorov-Arnold networks with interactive convolutional elements. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49791.
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