Artículos de revistas sobre el tema "VGG16 MODEL"
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Sukegawa, Shintaro, Kazumasa Yoshii, Takeshi Hara, Katsusuke Yamashita, Keisuke Nakano, Norio Yamamoto, Hitoshi Nagatsuka y Yoshihiko Furuki. "Deep Neural Networks for Dental Implant System Classification". Biomolecules 10, n.º 7 (1 de julio de 2020): 984. http://dx.doi.org/10.3390/biom10070984.
Texto completoKumar, Vijay, Anis Zarrad, Rahul Gupta y Omar Cheikhrouhou. "COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques". Journal of Healthcare Engineering 2022 (11 de abril de 2022): 1–13. http://dx.doi.org/10.1155/2022/6216273.
Texto completoLai, Ren Yu, Kim Gaik Tay, Audrey Huong, Chang Choon Chew y Shuhaida Ismail. "Dorsal hand Vein Authentication System Using Convolution Neural Network". International Journal of Emerging Technology and Advanced Engineering 12, n.º 8 (2 de agosto de 2022): 83–90. http://dx.doi.org/10.46338/ijetae0822_11.
Texto completoBodavarapu, Pavan Nageswar Reddy y P. V. V. S. Srinivas. "Facial expression recognition for low resolution images using convolutional neural networks and denoising techniques". Indian Journal of Science and Technology 14, n.º 12 (27 de marzo de 2021): 971–83. http://dx.doi.org/10.17485/ijst/v14i12.14.
Texto completoShinde, Krishna K. y C. N. Kayte. "Fingerprint Recognition Based on Deep Learning Pre-Train with Our Best CNN Model for Person Identification". ECS Transactions 107, n.º 1 (24 de abril de 2022): 2209–20. http://dx.doi.org/10.1149/10701.2209ecst.
Texto completoAthavale, Vijay Anant, Suresh Chand Gupta, Deepak Kumar y Savita. "Human Action Recognition Using CNN-SVM Model". Advances in Science and Technology 105 (abril de 2021): 282–90. http://dx.doi.org/10.4028/www.scientific.net/ast.105.282.
Texto completoKo, Kyung-Kyu y Eun-Sung Jung. "Improving Air Pollution Prediction System through Multimodal Deep Learning Model Optimization". Applied Sciences 12, n.º 20 (15 de octubre de 2022): 10405. http://dx.doi.org/10.3390/app122010405.
Texto completoHasan, Moh Arie, Yan Riyanto y Dwiza Riana. "Grape leaf image disease classification using CNN-VGG16 model". Jurnal Teknologi dan Sistem Komputer 9, n.º 4 (5 de julio de 2021): 218–23. http://dx.doi.org/10.14710/jtsiskom.2021.14013.
Texto completoSingh, Tajinder Pal, Sheifali Gupta, Meenu Garg, Amit Verma, V. V. Hung, H. H. Thien y Md Khairul Islam. "Transfer and Deep Learning-Based Gurmukhi Handwritten Word Classification Model". Mathematical Problems in Engineering 2023 (3 de mayo de 2023): 1–20. http://dx.doi.org/10.1155/2023/4768630.
Texto completoShakhovska, Nataliya y Pavlo Pukach. "Comparative Analysis of Backbone Networks for Deep Knee MRI Classification Models". Big Data and Cognitive Computing 6, n.º 3 (21 de junio de 2022): 69. http://dx.doi.org/10.3390/bdcc6030069.
Texto completoPriyatama, Adhigana, Zamah Sari y Yufis Azhar. "Deep Learning Implementation using Convolutional Neural Network for Alzheimer’s Classification". Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, n.º 2 (26 de marzo de 2023): 310–217. http://dx.doi.org/10.29207/resti.v7i2.4707.
Texto completoAytekin, Alper y Vasfiye Mençik. "Detection of Driver Dynamics with VGG16 Model". Applied Computer Systems 27, n.º 1 (1 de junio de 2022): 83–88. http://dx.doi.org/10.2478/acss-2022-0009.
Texto completoDesai, Chitra. "Image Classification Using Transfer Learning and Deep Learning". International Journal of Engineering and Computer Science 10, n.º 9 (23 de septiembre de 2021): 25394–98. http://dx.doi.org/10.18535/ijecs/v10i9.4622.
Texto completoSingh, Dilbag, Yavuz Selim Taspinar, Ramazan Kursun, Ilkay Cinar, Murat Koklu, Ilker Ali Ozkan y Heung-No Lee. "Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models". Electronics 11, n.º 7 (22 de marzo de 2022): 981. http://dx.doi.org/10.3390/electronics11070981.
Texto completoNoprisson, Handrie. "Fine-Tuning Model Transfer Learning VGG16 Untuk Klasifikasi Citra Penyakit Tanaman Padi". JSAI (Journal Scientific and Applied Informatics) 5, n.º 3 (26 de noviembre de 2022): 244–49. http://dx.doi.org/10.36085/jsai.v5i3.3609.
Texto completoHwang, Jung, Jae Seo, Jeong Kim, Suyoung Park, Young Kim y Kwang Kim. "Comparison between Deep Learning and Conventional Machine Learning in Classifying Iliofemoral Deep Venous Thrombosis upon CT Venography". Diagnostics 12, n.º 2 (21 de enero de 2022): 274. http://dx.doi.org/10.3390/diagnostics12020274.
Texto completoWu, Shengbin. "Expression Recognition Method Using Improved VGG16 Network Model in Robot Interaction". Journal of Robotics 2021 (20 de diciembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/9326695.
Texto completoKhan, Inam Ullah, Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Sami Azam, Rafi ur Rashid, Saddam Hossain Mukta, Mirjam Jonkman y Friso De Boer. "A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time". Biomedicines 11, n.º 6 (28 de mayo de 2023): 1566. http://dx.doi.org/10.3390/biomedicines11061566.
Texto completoJiang, Zhi-Peng, Yi-Yang Liu, Zhen-En Shao y Ko-Wei Huang. "An Improved VGG16 Model for Pneumonia Image Classification". Applied Sciences 11, n.º 23 (25 de noviembre de 2021): 11185. http://dx.doi.org/10.3390/app112311185.
Texto completoBuvana, M., K. Muthumayil, S. Senthil kumar, Jamel Nebhen, Sultan S. Alshamrani y Ihsan Ali. "Deep Optimal VGG16 Based COVID-19 Diagnosis Model". Computers, Materials & Continua 70, n.º 1 (2022): 43–58. http://dx.doi.org/10.32604/cmc.2022.019331.
Texto completoSalamah, Umniy, Anita Ratnasari y Sarwati Rahayu. "Automated Fruit Classification Menggunakan Model VGG16 dan MobileNetV2". JSAI (Journal Scientific and Applied Informatics) 5, n.º 3 (26 de noviembre de 2022): 176–81. http://dx.doi.org/10.36085/jsai.v5i3.3615.
Texto completoChoi, Wansuk y Seoyoon Heo. "Deep Learning Approaches to Automated Video Classification of Upper Limb Tension Test". Healthcare 9, n.º 11 (18 de noviembre de 2021): 1579. http://dx.doi.org/10.3390/healthcare9111579.
Texto completoKarac, Abdulkadir. "Predicting COVID-19 Cases on a Large Chest X-Ray Dataset Using Modified Pre-trained CNN Architectures". Applied Computer Systems 28, n.º 1 (1 de junio de 2023): 44–57. http://dx.doi.org/10.2478/acss-2023-0005.
Texto completoYoshimoto, Yuma y Hakaru Tamukoh. "FPGA Implementation of a Binarized Dual Stream Convolutional Neural Network for Service Robots". Journal of Robotics and Mechatronics 33, n.º 2 (20 de abril de 2021): 386–99. http://dx.doi.org/10.20965/jrm.2021.p0386.
Texto completoJahan, Israt, K. M. Aslam Uddin, Saydul Akbar Murad, M. Saef Ullah Miah, Tanvir Zaman Khan, Mehedi Masud, Sultan Aljahdali y Anupam Kumar Bairagi. "4D: A Real-Time Driver Drowsiness Detector Using Deep Learning". Electronics 12, n.º 1 (3 de enero de 2023): 235. http://dx.doi.org/10.3390/electronics12010235.
Texto completoTeimoor, Ramyar Abdulrahman y Mihran Abdulrahim Mohammed. "OVID-19 Disease Detection Based on Machine Learning and Chest X-Ray Images". UHD Journal of Science and Technology 6, n.º 2 (21 de noviembre de 2022): 126–34. http://dx.doi.org/10.21928/uhdjst.v6n2y2022.pp126-134.
Texto completoNoprisson, Handrie, Ida Nurhaida y Mariana Purba. "Perbandingan Algoritma Xception dan VGG16 Untuk Pengenalan Lebah Pollen-Bearing". JSAI (Journal Scientific and Applied Informatics) 5, n.º 3 (26 de noviembre de 2022): 223–27. http://dx.doi.org/10.36085/jsai.v5i3.3611.
Texto completoMontaha, Sidratul, Sami Azam, Abul Kalam Muhammad Rakibul Haque Rafid, Pronab Ghosh, Md Zahid Hasan, Mirjam Jonkman y Friso De Boer. "BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images". Biology 10, n.º 12 (17 de diciembre de 2021): 1347. http://dx.doi.org/10.3390/biology10121347.
Texto completoYin, Helin, Yeong Hyeon Gu, Chang-Jin Park, Jong-Han Park y Seong Joon Yoo. "Transfer Learning-Based Search Model for Hot Pepper Diseases and Pests". Agriculture 10, n.º 10 (28 de septiembre de 2020): 439. http://dx.doi.org/10.3390/agriculture10100439.
Texto completoPrasetyo, Simeon Yuda, Ghinaa Zain Nabiilah, Zahra Nabila Izdihar y Sani Muhamad Isa. "Pneumonia Detection on X-Ray Imaging using Softmax Output in Multilevel Meta Ensemble Algorithm of Deep Convolutional Neural Network Transfer Learning Models". International Journal of Advances in Intelligent Informatics 9, n.º 2 (8 de julio de 2023): 319. http://dx.doi.org/10.26555/ijain.v9i2.884.
Texto completoLim, Wee Sheng, Ahmad Fakhri Ab. Nasir, Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed, Nur Shazwani Kamarudin y M. Zulfahmi Toh. "Traffic Sign Classification Using Transfer Learning: An Investigation of Feature-Combining Model". MEKATRONIKA 3, n.º 2 (30 de julio de 2021): 37–41. http://dx.doi.org/10.15282/mekatronika.v3i2.7346.
Texto completoShukla, Ratnesh Kumar, Arvind Kumar Tiwari y Ashish Kumar Jha. "An Efficient Approach of Face Detection and Prediction of Drowsiness Using SVM". Mathematical Problems in Engineering 2023 (17 de abril de 2023): 1–12. http://dx.doi.org/10.1155/2023/2168361.
Texto completoDr. Sammulal P, Manju D, Dr Seetha M,. "EARLY ACTION PREDICTION USING VGG16 MODEL AND BIDIRECTIONAL LSTM". INFORMATION TECHNOLOGY IN INDUSTRY 9, n.º 1 (10 de marzo de 2021): 666–72. http://dx.doi.org/10.17762/itii.v9i1.185.
Texto completoDubey, Arun Kumar y Vanita Jain. "Automatic facial recognition using VGG16 based transfer learning model". Journal of Information and Optimization Sciences 41, n.º 7 (8 de septiembre de 2020): 1589–96. http://dx.doi.org/10.1080/02522667.2020.1809126.
Texto completoVelasco, Jessica S., Jomer V. Catipon, Edmund G. Monilar, Villamor M. Amon, Glenn C. Virrey y Lean Karlo S. Tolentino. "Classification of Skin Disease Using Transfer Learning in Convolutional Neural Networks". International Journal of Emerging Technology and Advanced Engineering 13, n.º 4 (5 de abril de 2023): 1–7. http://dx.doi.org/10.46338/ijetae0423_01.
Texto completoVerma, Yash, Madhulika Bhatia, Poonam Tanwar, Shaveta Bhatia y Mridula Batra. "Automatic video censoring system using deep learning". International Journal of Electrical and Computer Engineering (IJECE) 12, n.º 6 (1 de diciembre de 2022): 6744. http://dx.doi.org/10.11591/ijece.v12i6.pp6744-6755.
Texto completoNorelyaqine, Abderrahim, Rida Azmi y Abderrahim Saadane. "Architecture of Deep Convolutional Encoder-Decoder Networks for Building Footprint Semantic Segmentation". Scientific Programming 2023 (25 de abril de 2023): 1–15. http://dx.doi.org/10.1155/2023/8552624.
Texto completoOthman, Kamal y Ahmad Rad. "An Indoor Room Classification System for Social Robots via Integration of CNN and ECOC". Applied Sciences 9, n.º 3 (30 de enero de 2019): 470. http://dx.doi.org/10.3390/app9030470.
Texto completoAl-Sarem, Mohammed, Mohammed Al-Asali, Ahmed Yaseen Alqutaibi y Faisal Saeed. "Enhanced Tooth Region Detection Using Pretrained Deep Learning Models". International Journal of Environmental Research and Public Health 19, n.º 22 (21 de noviembre de 2022): 15414. http://dx.doi.org/10.3390/ijerph192215414.
Texto completoSaikat Sundar Pal, Prithwish Raymahapatra, Soumyadeep Paul, Sajal Dolui, Avijit Kumar Chaudhuri y Sulekha Das. "A Novel Brain Tumor Classification Model Using Machine Learning Techniques". international journal of engineering technology and management sciences 7, n.º 2 (2023): 87–98. http://dx.doi.org/10.46647/ijetms.2023.v07i02.011.
Texto completoAdnan, Muhammad, Muhammad Sardaraz, Muhammad Tahir, Muhammad Najam Dar, Mona Alduailij y Mai Alduailij. "A Robust Framework for Real-Time Iris Landmarks Detection Using Deep Learning". Applied Sciences 12, n.º 11 (3 de junio de 2022): 5700. http://dx.doi.org/10.3390/app12115700.
Texto completoNazhirin, Ahmad Fudolizaenun, Muhammad Rafi Muttaqin y Teguh Iman Hermanto. "KLASIFIKASI KONDISI BAN KENDARAAN MENGGUNAKAN ARSITEKTUR VGG16". INTI Nusa Mandiri 18, n.º 1 (1 de agosto de 2023): 1–12. http://dx.doi.org/10.33480/inti.v18i1.4270.
Texto completoV., Upendra y Puviarasi R. "Pancreatic Cancer Prediction Using Hierarchical Convolutional Neural Network and Visual Geometry Group16 CNN Approach on Accuracy and Specificity Performance Measures". ECS Transactions 107, n.º 1 (24 de abril de 2022): 11927–36. http://dx.doi.org/10.1149/10701.11927ecst.
Texto completoAyumi, Vina. "Perbandingan Model Transfer Learning Untuk Klasifikasi Citra Agricultural Crop". JSAI (Journal Scientific and Applied Informatics) 5, n.º 3 (26 de noviembre de 2022): 214–22. http://dx.doi.org/10.36085/jsai.v5i3.3612.
Texto completoRamayanti, Desi, Sri Dianing Asri y Lionie Lionie. "Implementasi Model Arsitektur VGG16 dan MobileNetV2 Untuk Klasifikasi Citra Kupu-Kupu". JSAI (Journal Scientific and Applied Informatics) 5, n.º 3 (26 de noviembre de 2022): 182–87. http://dx.doi.org/10.36085/jsai.v5i3.2864.
Texto completoNillmani, Pankaj K. Jain, Neeraj Sharma, Mannudeep K. Kalra, Klaudija Viskovic, Luca Saba y Jasjit S. Suri. "Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models". Diagnostics 12, n.º 3 (7 de marzo de 2022): 652. http://dx.doi.org/10.3390/diagnostics12030652.
Texto completoAli, Abd-elmegeid Amin, Iman jebur Ali y Hassan Shaban Hassan. "Efficient Net: A Deep Learning Framework for Active Fire and Smoke Detection". Journal of Image Processing and Intelligent Remote Sensing, n.º 32 (1 de febrero de 2023): 1–10. http://dx.doi.org/10.55529/jipirs.32.1.10.
Texto completoRajasenbagam, T. y S. Jeyanthi. "Semantic Content-Based Image Retrieval System Using Deep Learning Model for Lung Cancer CT Images". Journal of Medical Imaging and Health Informatics 11, n.º 10 (1 de octubre de 2021): 2675–82. http://dx.doi.org/10.1166/jmihi.2021.3859.
Texto completoDzierżak, Róża y Zbigniew Omiotek. "Application of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis". Sensors 22, n.º 21 (26 de octubre de 2022): 8189. http://dx.doi.org/10.3390/s22218189.
Texto completoKrishnamoorthy, N., P. Jayanthi, T. Kumaravel, V. A. Sundareshwar y R. Syed Jamal Harris. "Scalp disease analysis using deep learning models". Applied and Computational Engineering 2, n.º 1 (22 de marzo de 2023): 1003–9. http://dx.doi.org/10.54254/2755-2721/2/20220654.
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