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Số người truy cập: 112,298,152

TRONG NƯỚC:
[1]Bài báo: Một phương pháp khử nhiễu nhân trên ảnh số dựa trên biến phân tổng bậc cao có hướng và tăng cường biên. Tác giả: Phạm Công Thắng et al.. Hội thảo quốc gia lần thứ XXVII @ (VNICT 2024). Số: -. Trang: 392-397. Năm 2024. (Sep 13 2024 2:19PM)
[2]Bài báo: Mạng lưới Dual-AttUNeXt: Nâng cao chất lượng tái tạo ảnh CT với kỹ thuật học sâu. Tác giả: Phạm Công Thắng et al.. Hội thảo quốc gia lần thứ XXVII @ (VNICT 2024). Số: _. Trang: 346-351. Năm 2024. (Sep 13 2024 2:20PM)
[3]Bài báo: Một phương pháp khử nhiễu hình ảnh dựa trên biến phân tổng quát không lồi. Tác giả: Phạm Công Thắng, et al.. Tạp chí Khoa học và Công nghệ - Đại học Đà Nẵng. Số: VOL. 21, NO. 3. Trang: 80-84. Năm 2023. (Mar 16 2023 10:20AM)
QUỐC TẾ:
[1]Article: CT Image Reconstruction: Integrating Iterative Methods with ML-EM Algorithm and Deep Learning Models. Authors: Pham Cong Than et al.. Journal Cybernetics and Physics (CAP). No: Vol. 13 (2). Pages: 130-141. Year 2024. (Jun 25 2024 12:10AM)
[2]Article: Cauchy Noise Removal using High-Order Total Variation and Overlapping Group Sparsity. Authors: Pham Cong Thang et al.. Eurasian Journal of Mathematical and Computer Application. No: Vol. 12 (3). Pages: 117 – 134. Year 2024. (Jun 25 2024 12:13AM)
[3]Article: Deep learning-based IoT system for fruit and vegetable recognition. Authors: Pham Cong Thang et al.. Information and Control Systems. No: Vol. 2. Pages: 9-20. Year 2024. (Apr 27 2024 7:51PM)
[4]Article: Image Classification based on Deep Learning with Automatic Relevance Determination and Structured Bayesian Pruning. Authors: Pham C.T, et al.. Computer Research and Modeling. No: 16 (4). Pages: 927-938. Year 2024. (May 28 2024 5:51PM)
[5]Article: Dual-Domain Reconstruction Network for Enhancing Sparse-View and Low-Dose CT Imaging. Authors: Pham Cong Thang et al.. SOICT 2024. No: -. Pages: 12 pages. Year 2024. (Nov 9 2024 11:46PM)
[6]Article: DehazeCLNet: A Contrastive Learning Framework with Advanced Feature Extraction for Image Dehazing. Authors: Pham Cong Thang et al.. SOICT 2024. No: -. Pages: 11 pages. Year 2024. (Nov 9 2024 11:48PM)
[7]Article: Catadioptric image denoising: a spatially variant approach. Authors: Pham Cong Thang*, Phan Tran Dang Khoa. Eurasian Journal of Mathematical and Computer Applications. No: Vol. 11 (2). Pages: 82-98. DOI: 10.32523/2306-6172-2023-11-2-82-98. Year 2023. (Jan 28 2023 10:26PM)
[8]Article: Image noise removal method based on non-convex total generalized variation and primal-dual algorithm. Authors: Pham Cong Thang and et al.. Computer Research and Modeling. No: Vol.15. Pages: 1-15. Year 2023. (Mar 19 2023 10:25PM)
[9]Article: Non-convex hybrid total variation for restoring medical image corrupted by poisson noise. Authors: Pham C.T. et. al.. ISPRS International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives). No: XLVIII-2/W3-2023. Pages: 255-260. DOI: /10.5194/isprs-archives-XLVIII-2-W3-. Year 2023. (Mar 16 2023 10:29AM)
[10]Article: A non-convex total generalized variation model for image denoising. Authors: Pham Cong Thang et al.. Journal Cybernetics and Physics (CAP). No: Vol. 12 (1). Pages: 1-12. Year 2023. (Jun 9 2023 11:40PM)
[11]Article: An adaptive image restoration algorithm based on hybrid total variation regularization. Authors: Pham Cong Thang and et al.. Turkish Journal of Electrical Engineering and Computer Sciences. No: 31 (1). Pages: 1-16. DOI: 10.55730/1300-0632.3968. Year 2023. (Jan 25 2023 5:14PM)
[12]Article: Second-order total generalized variation based model for restoring images with mixed Poisson-Gaussian noise. Authors: Pham Cong Thang et al. Information and Control Systems. No: Vol. 2 (111). Pages: 20-32, DOI: 10.31799/1684-8853-2021-2-20-32. Year 2021. (Sep 17 2021 12:54PM)
[13]Article: A hybrid regularizers approach based model for restoring image corrupted by Poisson noise. Authors: Pham Cong Thang et al. Computer Research and Modeling. No: Vol. 13 (5). Pages: 1-15. DOI: 10.20537/2076-7633-2021-13-5-1-15. Year 2021. (Sep 17 2021 12:55PM)
[14]Article: A hybrid regularizers model for multiplicative noise removal. Authors: Pham Cong Thang et al. Cybernetics and Physics Journal (CAP). International Physics and Control Society (IPACS). No: Vol. 10 (1). Pages: 40-50. DOI: 10.35470/2226-4116-2021-10-1-40-50. Year 2021. (Sep 17 2021 12:57PM)
[15]Article: Combined first order and fractional order total variation for Poisson noise removal on digital images. Authors: Pham Cong Thang, et al. Information and Control Systems. No: Vol. 5 (114). Pages: 1-21. DOI: 10.31799/1684-8853-2021-5-1-21. Year 2021. (Sep 17 2021 1:00PM)
[16]Article: An Algorithm for Hybrid Regularizers Based Image Restoration with Poisson Noise. Authors: Pham Cong Thang*, et. al. Kybernetika - International journal of Institute of Information Theory and Automation, The Czech Academy of Sciences. No: Vol. 57 (3). Pages: 447-473. DOI: 10.20537/2076-7633-2021-13-5-1-15. Year 2021. (Feb 25 2021 9:42AM)
[17]Article: Human action recognition method based on conformal geometric algebra and recurrent neural network. Authors: Nguyen N. H. V., Pham M. T., Do P. H., Pham C. T., Tachibana K.. Information and Control Systems. No: Vol. 5, DOI: 10.31799/1684-8853-2020-5-2-11. Pages: 2-11. Year 2020. (Dec 1 2020 9:40PM)
[18]Article: An efficient total variation minimization method for image restoration. Authors: Pham Cong Thang*, Tran Thi Thu Thao, Guilhem Gamard. INFORMATICA - An International Journal, Vilnius University Institute of Data Science and Digital Technologies, Lithuanian Academy of Sciences. No: Informatica, Volume 31, Issue 3, September 2020. Pages: 539–560, DOI 10.15388/20-INFOR407. Year 2020. (Dec 1 2020 9:44PM)
[19]Article: An adaptive algorithm for restoring image corrupted by mixed noise. Authors: Pham Cong Thang et al. Cybernetics and Physics Journal (CAP), International Physics and Control Society (IPACS). No: Vol. 8 (2). Pages: 73–82. DOI: 10.35470/2226-4116-2019-8-2-73-82. Year 2019. (Aug 8 2021 11:58PM)
[20]Article: An adaptive variational model for medical images restoration. Authors: Pham Cong Thang, et al.. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. No: Vol. XLII-2/W12. Pages: pp. 219-224. Year 2019. (Jun 8 2019 6:10PM)
[21]Article: Tree-serial parametric dynamic programming with flexible prior model for image denoising. Authors: Pham Cong Thang, Andrei V. Kopylov. Computer Optics. No: 42 (5). Pages: 838-845. DOI: 10.18287/2412-6179-2018- 42-5-838-84. Year 2018. (Nov 1 2018 10:35PM)
[22]Article: An Algorithm for Image Restoration with Mixed Noise Using Total Variation Regularization. Authors: Pham Cong Thang*, Guilhem Garmard, Kopylov, Tran T.T. Thao. Turkish Journal of Electrical Engineering & Computer Sciences. No: Vol. 26 (6). Pages: 2831-2845. Year 2018. (Nov 29 2018 9:46PM)
[23]Article: Image Processing Procedures Based on Multi-Quadratic Dynamic Programming. Authors: Pham Cong Thang . Informatica (Ljubljana), Slovenian Society Informatika. No: 41. Pages: 255-256. Year 2017. (Jul 23 2017 9:33PM)
[24]Article: Edge-Preserving Denoising Based on Dynamic Programming on the Full Set of Adjacency Graphs. Authors: P. C. Thang, A. V. Kopylov, and S. D. Dvoenko. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. No: XLII-2/W4. Pages: 55-60. Year 2017. (May 19 2017 6:15PM)
[25]Article: Parametric Procedures For Image Denoising With Flexible Prior Model. Authors: Pham Cong Thang and Kopylov A V. Proceedings of the Seventh Symposium on Information and Communication Technology 2016. No: doi: 10.1145/3011077.3011099. Pages: 294-301. Year 2016. (Oct 13 2016 10:39PM)
[26]Presentations: Сглаживание изображений на основе мультиквадратичной процедуры динамического программирования. Authors: Фам Конг Тханг, Копылов А.В.. Сборник тезисов научно-технической конференции «Техническое Зрение в Системах Управления» -ТЗСУ 2015, Москва. ИКИ РАН. Pages: 122-123. Year 2015. (Oct 7 2016 10:00PM)
[27]Article: Multi-quadratic dynamic programming procedure of edge–preserving denoising for medical images. Authors: Pham Cong Thang, Kopylov A. V. . International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. No: doi:10.5194/isprsarchives-XL-5-W6-101-2015. Pages: 101-106. Year 2015. (Oct 7 2016 9:29PM)
[28]Article: Mathematical Description of Multi-Quadratic Dynamic Programming for Image Smoothing Preserving Local Features. Authors: Pham Cong Thang, Kopylov A. V.. Izvestiya TSU. Natural Sciences. No: vol. 4. Pages: 79-90. Year 2015. (Oct 7 2016 9:33PM)
[29]Article: Analysis of pairwise potential functions for bayesian image restoration . Authors: Pham Cong Thang, Kopylov A. V.. Izvestiya TSU. Natural Sciences. No: Vol. 3. Pages: 105—116. Year 2015. (Oct 7 2016 9:36PM)
[30]Article: Selection of quadratic functions in the procedure multi-quadratic dynamic programming for the analysis of signals and images. Authors: Pham Cong Thang, Kopylov A. V.. Izvestiya TSU. Technical Sciences. No: Vol. 5(2). Pages: 304–312. Year 2015. (Oct 7 2016 9:44PM)
[31]Article: Nonconvex minimization method for image denoising. Authors: Pham Cong Thang, Kopylov A. V.. Izvestiya TSU. Technical Sciences. No: Vol. 5(2). Pages: 290–303. Year 2015. (Oct 7 2016 9:56PM)
[32]Article: Multi-Quadratic Dynamic Programming Procedure for Image Restoration Preserving Local Features. Authors: Pham Cong Thang, Kopylov A. V.. Izvestiya TSU. Natural Sciences. No: Vol. 4. Pages: 143–157. Year 2014. (Oct 7 2016 9:57PM)
[33]Presentations: Development of classroom management software with remote access. Authors: Фам Конг Тханг. Сборник трудов Всероссийской конференции с международным участием «Иннформационно-телекоммуникационные технологии и матаматическое моделирование высокотехнологичныхт систем, Москва, РУДН. Pages:. 71-73. Year 2014. (Oct 7 2016 10:10PM)
[34]Article: Математический подход к отслеживанию объектов на цифровом видео. Authors: Фам К.Т., Есиков Д.О.. Известия ТулГУ. Технические науки. Вып. 1. Тула: Изд-во ТулГУ. No: 1. Pages: 37-43. Year 2014. (Dec 16 2016 10:55PM)
[35]Article: Комбинирование методов для отслеживания объектов на цифровом видео. Authors: Фам К.Т.. Известия ТулГУ. Технические науки. Вып. 1. Тула: Изд-во ТулГУ. No: 1. Pages: 51-56. Year 2014. (Dec 16 2016 10:58PM)
  
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