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Статті в журналах з теми "InceptionResNetV2"
Ullah, Naeem, Javed Ali Khan, Mohammad Sohail Khan, Wahab Khan, Izaz Hassan, Marwa Obayya, Noha Negm, and Ahmed S. Salama. "An Effective Approach to Detect and Identify Brain Tumors Using Transfer Learning." Applied Sciences 12, no. 11 (June 2, 2022): 5645. http://dx.doi.org/10.3390/app12115645.
Повний текст джерелаYazid Aufar, Muhammad Helmy Abdillah, and Jiki Romadoni. "Web-based CNN Application for Arabica Coffee Leaf Disease Prediction in Smart Agriculture." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, no. 1 (February 2, 2023): 71–79. http://dx.doi.org/10.29207/resti.v7i1.4622.
Повний текст джерелаJiang, Kaiyuan, Jiawei Zhang, Haibin Wu, Aili Wang, and Yuji Iwahori. "A Novel Digital Modulation Recognition Algorithm Based on Deep Convolutional Neural Network." Applied Sciences 10, no. 3 (February 9, 2020): 1166. http://dx.doi.org/10.3390/app10031166.
Повний текст джерелаFaruk, Omar, Eshan Ahmed, Sakil Ahmed, Anika Tabassum, Tahia Tazin, Sami Bourouis, and Mohammad Monirujjaman Khan. "A Novel and Robust Approach to Detect Tuberculosis Using Transfer Learning." Journal of Healthcare Engineering 2021 (November 25, 2021): 1–10. http://dx.doi.org/10.1155/2021/1002799.
Повний текст джерелаAl-Timemy, Ali H., Laith Alzubaidi, Zahraa M. Mosa, Hazem Abdelmotaal, Nebras H. Ghaeb, Alexandru Lavric, Rossen M. Hazarbassanov, Hidenori Takahashi, Yuantong Gu, and Siamak Yousefi. "A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning." Diagnostics 13, no. 10 (May 10, 2023): 1689. http://dx.doi.org/10.3390/diagnostics13101689.
Повний текст джерелаCheng, Wen-Chang, Hung-Chou Hsiao, Yung-Fa Huang, and Li-Hua Li. "Combining Classifiers for Deep Learning Mask Face Recognition." Information 14, no. 7 (July 21, 2023): 421. http://dx.doi.org/10.3390/info14070421.
Повний текст джерелаMahdianpari, Masoud, Bahram Salehi, Mohammad Rezaee, Fariba Mohammadimanesh, and Yun Zhang. "Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery." Remote Sensing 10, no. 7 (July 14, 2018): 1119. http://dx.doi.org/10.3390/rs10071119.
Повний текст джерелаPohtongkam, Somchai, and Jakkree Srinonchat. "Tactile Object Recognition for Humanoid Robots Using New Designed Piezoresistive Tactile Sensor and DCNN." Sensors 21, no. 18 (September 8, 2021): 6024. http://dx.doi.org/10.3390/s21186024.
Повний текст джерелаMondal, M. Rubaiyat Hossain, Subrato Bharati, and Prajoy Podder. "CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images." PLOS ONE 16, no. 10 (October 28, 2021): e0259179. http://dx.doi.org/10.1371/journal.pone.0259179.
Повний текст джерелаAngurala, Mohit. "Augmented MRI Images for Classification of Normal and Tumors Brain through Transfer Learning Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5s (June 10, 2023): 536–42. http://dx.doi.org/10.17762/ijritcc.v11i5s.7130.
Повний текст джерелаЧастини книг з теми "InceptionResNetV2"
Ganesh, Mukkesh, Sanjana Dulam, and Pattabiraman Venkatasubbu. "Diabetic Retinopathy Diagnosis with InceptionResNetV2, Xception, and EfficientNetB3." In Artificial Intelligence and Technologies, 405–13. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6448-9_41.
Повний текст джерелаSharma, Osho, Akashdeep Sharma, and Arvind Kalia. "Windows Malware Hunting with InceptionResNetv2 Assisted Malware Visualization Approach." In Proceedings of International Conference on Computational Intelligence and Data Engineering, 171–88. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0609-3_12.
Повний текст джерелаVodnala, Deepika, Konkathi Shreya, Maduru Sandhya, and Cholleti Varsha. "Skin Cancer Detection Using Convolutional Neural Networks and InceptionResNetV2." In Algorithms for Intelligent Systems, 595–604. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7041-2_50.
Повний текст джерелаAkhand, Md Nafis Tahmid, Sunanda Das, and Mahmudul Hasan. "Traffic Density Estimation Using Transfer Learning with Pre-trained InceptionResNetV2 Network." In Machine Intelligence and Data Science Applications, 363–75. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2347-0_28.
Повний текст джерелаSimon, Philomina, and V. Uma. "Integrating InceptionResNetv2 Model and Machine Learning Classifiers for Food Texture Classification." In Advances in Cognitive Science and Communications, 531–39. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8086-2_51.
Повний текст джерелаSingh, Rahul, Avinash Sharma, Neha Sharma, Kulbhushan Sharma, and Rupesh Gupta. "A Deep Learning-Based InceptionResNet V2 Model for Cassava Leaf Disease Detection." In Emerging Trends in Expert Applications and Security, 423–32. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1946-8_38.
Повний текст джерелаMuralikrishnan, Madhuvanti, and R. Anitha. "Comparison of Breast Cancer Multi-class Classification Accuracy Based on Inception and InceptionResNet Architecture." In Emerging Trends in Computing and Expert Technology, 1155–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32150-5_118.
Повний текст джерелаSharma, Aditya, Arshdeep Singh Chudey, and Mrityunjay Singh. "COVID-19 Detection Using Chest X-Ray and Transfer Learning." In Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security, 171–86. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3299-7.ch011.
Повний текст джерелаKalinathan, Lekshmi, Deepika Sivasankaran, Janet Reshma Jeyasingh, Amritha Sennappa Sudharsan, and Hareni Marimuthu. "Classification of Hepatocellular Carcinoma Using Machine Learning." In Hepatocellular Carcinoma - Challenges and Opportunities of a Multidisciplinary Approach [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99841.
Повний текст джерелаТези доповідей конференцій з теми "InceptionResNetV2"
Guefrechi, Sarra, Marwa Ben Jabra, and Habib Hamam. "Deepfake video detection using InceptionResnetV2." In 2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2022. http://dx.doi.org/10.1109/atsip55956.2022.9805902.
Повний текст джерелаNaveenkumar, M., S. Srithar, B. Rajesh Kumar, S. Alagumuthukrishnan, and P. Baskaran. "InceptionResNetV2 for Plant Leaf Disease Classification." In 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2021. http://dx.doi.org/10.1109/i-smac52330.2021.9641025.
Повний текст джерелаKesiman, Made Windu Antara, Kadek Teguh Dermawan, and I. Gede Mahendra Darmawiguna. "Balinese Carving Ornaments Classification Using InceptionResnetV2 Architecture." In 2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2022. http://dx.doi.org/10.1109/cenim56801.2022.10037265.
Повний текст джерелаJethwa, Nishant, Hamza Gabajiwala, Arundhati Mishra, Parth Joshi, and Prachi Natu. "Comparative Analysis between InceptionResnetV2 and InceptionV3 for Attention based Image Captioning." In 2021 2nd Global Conference for Advancement in Technology (GCAT). IEEE, 2021. http://dx.doi.org/10.1109/gcat52182.2021.9587514.
Повний текст джерелаGhadiri, Ali, Afrooz Sheikholeslami, and Asiyeh Bahaloo. "Multi-label detection of ophthalmic disorders using InceptionResNetV2 on multiple datasets." In 2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS). IEEE, 2022. http://dx.doi.org/10.1109/icspis56952.2022.10043998.
Повний текст джерелаSouza, Victor, Luan Silva, Adam Santos, and Leandro Araújo. "Análise Comparativa de Redes Neurais Convolucionais no Reconhecimento de Cenas." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p419-426.
Повний текст джерелаRandellini, Enrico, Leonardo Rigutini, and Claudio Saccà. "Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition." In 2nd International Conference on NLP Techniques and Applications (NLPTA 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111912.
Повний текст джерелаChichanoski, Gustavo, and Maria Bernadete de Morais França. "System for Assistance in Diagnosis of Diseases Pulmonary." In 9th International Conference on Computer Science and Information Technology (CSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121408.
Повний текст джерелаZeiser, Felipe, Cristiano da Costa, and Gabriel Ramos. "Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs." In LatinX in AI at International Conference on Machine Learning 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai2021072418.
Повний текст джерелаZeiser, Felipe, Cristiano da Costa, and Gabriel de Oliveira. "Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs." In LatinX in AI at International Conference on Machine Learning 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai2021072412.
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