Artigos de revistas sobre o tema "Deep-Fake detection"
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Doke, Yash. "Deep fake Detection Through Deep Learning". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de maio de 2023): 861–66. http://dx.doi.org/10.22214/ijraset.2023.51630.
Texto completo da fonteK, Mr Gopi. "Deep Fake Detection using Deep Learning". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 05 (6 de maio de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33196.
Texto completo da fonteD P, Gurukiran. "Deep Fake Detection System". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 04 (17 de abril de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem31014.
Texto completo da fonteHarsh Vardhan, Naman Varshney, Manoj Kiran R, Pradeep R e Dr. Latha N.R. "Deep Fake Video Detection". International Research Journal on Advanced Engineering Hub (IRJAEH) 2, n.º 04 (17 de abril de 2024): 830–35. http://dx.doi.org/10.47392/irjaeh.2024.0117.
Texto completo da fonteProf. Dikshendra Sarpate, Abrar Mungi, Shreyash Borkar, Shravani Mane e Kawnain Shaikh. "A Deep Approach to Deep Fake Detection". International Journal of Scientific Research in Science, Engineering and Technology 11, n.º 2 (30 de abril de 2024): 530–34. http://dx.doi.org/10.32628/ijsrset2411274.
Texto completo da fonteA. Sathiya Priya e T. Manisha. "CNN and RNN using Deepfake detection". International Journal of Science and Research Archive 11, n.º 2 (30 de março de 2024): 613–18. http://dx.doi.org/10.30574/ijsra.2024.11.2.0460.
Texto completo da fonteK. D.V.N.Vaishnavi, L. Hima Bindu, M. Sathvika, K. Udaya Lakshmi, M. Harini e N. Ashok. "Deep learning approaches for robust deep fake detection". World Journal of Advanced Research and Reviews 21, n.º 3 (30 de março de 2023): 2283–89. http://dx.doi.org/10.30574/wjarr.2024.21.3.0889.
Texto completo da fonteHande, Rutuja, Sneha Goon, Aaditi Gondhali e Navin Singhaniya. "A Novel Method of Deepfake Detection". ITM Web of Conferences 44 (2022): 03064. http://dx.doi.org/10.1051/itmconf/20224403064.
Texto completo da fonteArunkumar, P. M., Yalamanchili Sangeetha, P. Vishnu Raja e S. N. Sangeetha. "Deep Learning for Forgery Face Detection Using Fuzzy Fisher Capsule Dual Graph". Information Technology and Control 51, n.º 3 (23 de setembro de 2022): 563–74. http://dx.doi.org/10.5755/j01.itc.51.3.31510.
Texto completo da fonteST, Suganthi, Mohamed Uvaze Ahamed Ayoobkhan, Krishna Kumar V, Nebojsa Bacanin, Venkatachalam K, Hubálovský Štěpán e Trojovský Pavel. "Deep learning model for deep fake face recognition and detection". PeerJ Computer Science 8 (22 de fevereiro de 2022): e881. http://dx.doi.org/10.7717/peerj-cs.881.
Texto completo da fonteRai, Mr Yogesh. "Deepfake Detection System". International Journal for Research in Applied Science and Engineering Technology 12, n.º 5 (31 de maio de 2024): 2116–22. http://dx.doi.org/10.22214/ijraset.2024.62007.
Texto completo da fonteS., Gayathri, Santhiya S., Nowneesh T., Sanjana Shuruthy K. e Sakthi S. "Deep fake detection using deep learning techniques". Applied and Computational Engineering 2, n.º 1 (22 de março de 2023): 1010–19. http://dx.doi.org/10.54254/2755-2721/2/20220655.
Texto completo da fonteJournal, IJSREM. "Deep Fake Face Detection Using Deep Learning Tech with LSTM". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 02 (8 de fevereiro de 2024): 1–10. http://dx.doi.org/10.55041/ijsrem28624.
Texto completo da fonteJournal, IJSREM. "FAKE REVIEW DETECTION USING DEEP LEARNING". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 01 (4 de janeiro de 2024): 1–11. http://dx.doi.org/10.55041/ijsrem27893.
Texto completo da fonteSabah, Hanady. "Detection of Deep Fake in Face Images Using Deep Learning". Wasit Journal of Computer and Mathematics Science 1, n.º 4 (31 de dezembro de 2022): 94–111. http://dx.doi.org/10.31185/wjcm.92.
Texto completo da fonteBerrahal, Mohammed, Mohammed Boukabous, Mimoun Yandouzi, Mounir Grari e Idriss Idrissi. "Investigating the effectiveness of deep learning approaches for deep fake detection". Bulletin of Electrical Engineering and Informatics 12, n.º 6 (1 de dezembro de 2023): 3853–60. http://dx.doi.org/10.11591/eei.v12i6.6221.
Texto completo da fontePant, Shilpa, e Chhaya Gosavi. "Survey of Deep Fake Creation Technologies and Deep Fake Detection using LSTM". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 11s (7 de outubro de 2023): 377–84. http://dx.doi.org/10.17762/ijritcc.v11i11s.8165.
Texto completo da fonteSamkeerthana, Pasam. "Deepfake Face Detection Using Machine Learning with LSTM". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 04 (28 de abril de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem31975.
Texto completo da fonteSindhu, Medarametla Durga. "Fake Currency Detection Using Deep Learning". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 04 (27 de abril de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem31943.
Texto completo da fontePote, Asst Prof Rajashri. "Deep Fake Detecting System". International Journal for Research in Applied Science and Engineering Technology 12, n.º 4 (30 de abril de 2024): 1579–82. http://dx.doi.org/10.22214/ijraset.2024.59748.
Texto completo da fonteKhan, Nazakat Farooq, e Ankur Gupta. "Fake News Detection Using Deep Learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 9 (30 de setembro de 2022): 1353–60. http://dx.doi.org/10.22214/ijraset.2022.46838.
Texto completo da fonteTyshchenko, Vitalii. "ANALYSIS OF TRAINING METHODS AND NEURAL NETWORK TOOLS FOR FAKE NEWS DETECTION". Cybersecurity: Education, Science, Technique 4, n.º 20 (2023): 20–34. http://dx.doi.org/10.28925/2663-4023.2023.20.2034.
Texto completo da fonteUrane, Kimaya, e Arati Deshpande. "Deep Learning Based Fake News Detection". International Journal on Recent and Innovation Trends in Computing and Communication 10, n.º 7 (31 de julho de 2022): 94–99. http://dx.doi.org/10.17762/ijritcc.v10i7.5578.
Texto completo da fontePandey, Mansi, Mayank Kumar, Dhananjay Singh, Anshuman Singh, Pavan Kumar Shukla e Vinod M. Kapse. "Fake News Detection Using Deep Learning". NIET Journal of Engineering and Technology 10, n.º 02S (2022): 18–23. http://dx.doi.org/10.62797/njet.vol.10.issue.02s.004.
Texto completo da fonteBalasubramanian, Saravana Balaji, Jagadeesh Kannan R, Prabu P, Venkatachalam K e Pavel Trojovský. "Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection". PeerJ Computer Science 8 (13 de julho de 2022): e1040. http://dx.doi.org/10.7717/peerj-cs.1040.
Texto completo da fonteNAGAGOPIRAJU, Dr V., Kancharla Ayyappa, Pallabothula Anshulalitha, Jillalamudi Srikanth e Kakumanu Tharun Teja. "A EFFCIET DEEP FAKE FACE DETECTION USING DEEP INCEPTION NET LEARNING ALGORITHM". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 15, n.º 1 (4 de março de 2024): 138–41. http://dx.doi.org/10.61841/turcomat.v15i1.14555.
Texto completo da fonteFang, Kairui. "Deep Learning Techniques for Fake News Detection". Highlights in Science, Engineering and Technology 16 (10 de novembro de 2022): 511–18. http://dx.doi.org/10.54097/hset.v16i.2638.
Texto completo da fonteMeenakshi A Thalor e Mayuri Garad. "Fake News Detection Using MultiChannel Deep Neural Networks". International Journal of Integrated Science and Technology 1, n.º 5 (22 de novembro de 2023): 585–94. http://dx.doi.org/10.59890/ijist.v1i5.684.
Texto completo da fonteHsu, Chih-Chung, Yi-Xiu Zhuang e Chia-Yen Lee. "Deep Fake Image Detection Based on Pairwise Learning". Applied Sciences 10, n.º 1 (3 de janeiro de 2020): 370. http://dx.doi.org/10.3390/app10010370.
Texto completo da fonteFeng, Yuran. "Misreporting and Fake News Detection Techniques on the Social Media Platform". Highlights in Science, Engineering and Technology 12 (26 de agosto de 2022): 142–52. http://dx.doi.org/10.54097/hset.v12i.1417.
Texto completo da fonteAslam, Nida, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej e Asma Khaled Aldubaikil. "Fake Detect: A Deep Learning Ensemble Model for Fake News Detection". Complexity 2021 (14 de abril de 2021): 1–8. http://dx.doi.org/10.1155/2021/5557784.
Texto completo da fonteLi, Jun, Wentao Jiang, Jianyi Zhang, Yanhua Shao e Wei Zhu. "Fake User Detection Based on Multi-Model Joint Representation". Information 15, n.º 5 (9 de maio de 2024): 266. http://dx.doi.org/10.3390/info15050266.
Texto completo da fonteShahar, Hadas, e Hagit Hel-Or. "Fake Video Detection Using Facial Color". Color and Imaging Conference 2020, n.º 28 (4 de novembro de 2020): 175–80. http://dx.doi.org/10.2352/issn.2169-2629.2020.28.27.
Texto completo da fonteHaqi Al-Tai, Mohammed, Bashar M. Nema e Ali Al-Sherbaz. "Deep Learning for Fake News Detection: Literature Review". Al-Mustansiriyah Journal of Science 34, n.º 2 (30 de junho de 2023): 70–81. http://dx.doi.org/10.23851/mjs.v34i2.1292.
Texto completo da fontePatil, Priyadarshini, Vipul Deshpande, Vishal Malge e Abhishek Bevinmanchi. "Fake Face Detection Using CNN". International Journal for Research in Applied Science and Engineering Technology 10, n.º 9 (30 de setembro de 2022): 519–22. http://dx.doi.org/10.22214/ijraset.2022.45829.
Texto completo da fonteAli, Abdullah Marish, Fuad A. Ghaleb, Bander Ali Saleh Al-Rimy, Fawaz Jaber Alsolami e Asif Irshad Khan. "Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique". Sensors 22, n.º 18 (15 de setembro de 2022): 6970. http://dx.doi.org/10.3390/s22186970.
Texto completo da fonteAlkishri, Wasin, Dr Setyawan Widyarto e Dr Jabar H. Yousif. "Evaluating the Effectiveness of a Gan Fingerprint Removal Approach in Fooling Deepfake Face Detection". Journal of Internet Services and Information Security 14, n.º 1 (2 de março de 2024): 85–103. http://dx.doi.org/10.58346/jisis.2024.i1.006.
Texto completo da fonteKale, Prachi. "Forensic Verification and Detection of Fake Video using Deep Fake Algorithm". International Journal for Research in Applied Science and Engineering Technology 9, n.º VI (30 de junho de 2021): 2789–94. http://dx.doi.org/10.22214/ijraset.2021.35599.
Texto completo da fonteLin, Yih-Kai, e Hao-Lun Sun. "Few-Shot Training GAN for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach". Electronics 12, n.º 6 (16 de março de 2023): 1417. http://dx.doi.org/10.3390/electronics12061417.
Texto completo da fonteM. Fouad, Khaled, Sahar F. Sabbeh e Walaa Medhat. "Arabic Fake News Detection Using Deep Learning". Computers, Materials & Continua 71, n.º 2 (2022): 3647–65. http://dx.doi.org/10.32604/cmc.2022.021449.
Texto completo da fonteDcruz, Juliet, Mariya Eldhose, Mariya Jose e Bonia Jose. "FAKE INDIAN CURRENCY DETECTION USING DEEP LEARNING". International Journal of Engineering Applied Sciences and Technology 5, n.º 1 (31 de maio de 2020): 720–24. http://dx.doi.org/10.33564/ijeast.2020.v05i01.127.
Texto completo da fonteWang, Rong. "Fake News Detection based on Deep Learning". Frontiers in Computing and Intelligent Systems 4, n.º 1 (6 de junho de 2023): 105–8. http://dx.doi.org/10.54097/fcis.v4i1.9479.
Texto completo da fonteSaeed, Ramsha, Hammad Afzal, Haider Abbas e Maheen Fatima. "Enriching Conventional Ensemble Learner with Deep Contextual Semantics to Detect Fake News in Urdu". ACM Transactions on Asian and Low-Resource Language Information Processing 21, n.º 1 (31 de janeiro de 2022): 1–19. http://dx.doi.org/10.1145/3461614.
Texto completo da fonteHuang, Qiaoyi. "Detecting fake news with deep neural networks". Applied and Computational Engineering 5, n.º 1 (14 de junho de 2023): 457–63. http://dx.doi.org/10.54254/2755-2721/5/20230619.
Texto completo da fonteFang, Baozhi, e Haotian Zhou. "Fake news text detection based on convolutional neural network". Applied and Computational Engineering 41, n.º 1 (22 de fevereiro de 2024): 202–9. http://dx.doi.org/10.54254/2755-2721/41/20230744.
Texto completo da fonteBerrondo-Otermin, Maialen, e Antonio Sarasa-Cabezuelo. "Application of Artificial Intelligence Techniques to Detect Fake News: A Review". Electronics 12, n.º 24 (18 de dezembro de 2023): 5041. http://dx.doi.org/10.3390/electronics12245041.
Texto completo da fonteRamya, S. P., e R. Eswari. "Attention-Based Deep Learning Models for Detection of Fake News in Social Networks". International Journal of Cognitive Informatics and Natural Intelligence 15, n.º 4 (outubro de 2021): 1–25. http://dx.doi.org/10.4018/ijcini.295809.
Texto completo da fonteGhimire, Niroj, e Surendra Shrestha. "Fake News Stance Detection using Deep Neural Network". Journal of Lumbini Engineering College 4, n.º 1 (7 de dezembro de 2022): 49–53. http://dx.doi.org/10.3126/lecj.v4i1.49366.
Texto completo da fonteDeng, Liwei, Hongfei Suo e Dongjie Li. "Deepfake Video Detection Based on EfficientNet-V2 Network". Computational Intelligence and Neuroscience 2022 (15 de abril de 2022): 1–13. http://dx.doi.org/10.1155/2022/3441549.
Texto completo da fonteAlyoubi, Shatha, Manal Kalkatawi e Felwa Abukhodair. "The Detection of Fake News in Arabic Tweets Using Deep Learning". Applied Sciences 13, n.º 14 (14 de julho de 2023): 8209. http://dx.doi.org/10.3390/app13148209.
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