Click secur
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Click the PC Security tab or click the Go to PC Security button. The PC Security panel displays. Click the PC that you want to modify. The Security panel for that computer displays. In the Security Setting line, click the Edit link. Click the
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1 Chapter Cancel anytime Subscribe now Buy Now Price excludes VAT (USA) Tax calculation will be finalised during checkout. Instant access to the full article PDF. Similar content being viewed by others ReferencesAmerini I, Ballan L, Caldelli R, Del Bimbo A, Serra G (2011) A sift-based forensic method for copy–move attack detection and transformation recovery. IEEE Trans. Inf. Forensics Secur. 6:1099–1110Article Google Scholar Amerini I, Ballan L, Caldelli R, Del Bimbo A, Del Tongo L, Serra G (2013) Copy-move forgery detection and localization by means of robust clustering with J-linkage. Signal Process Image Commun 28:659–669Article Google Scholar Amerini I, Uricchio T, Ballan L, Caldelli R (2017) Localization of JPEG double compression through multi-domain convolutional neural networks. In: 2017 IEEE Conf. Comput. Vis. Pattern Recognit. Work., IEEE, pp. 1865–1871Bay H, Ess A, Tuytelaars T, Van Gool L (2008) Speeded-up robust features (SURF). Comput Vis Image Underst 110:346–359Article Google Scholar Bayar B, Stamm MC (2016) A deep learning approach to universal image manipulation detection using a new convolutional layer. In: Proc. 4th ACM Work. Inf. Hiding Multimed. Secur., pp. 5–10Bi X, Wei Y, Xiao B, Li W (2019) Rru-net: The ringed residual u-net for image splicing forgery detection. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Work., p. 0Bo X, Junwen W, Guangjie L, Yuewei D (2010) Image copy-move forgery detection based on SURF. In: 2010 Int. Conf. Multimed. Inf. Netw. Secur., IEEE, pp. 889–892Bondi L, Lameri S, Güera D, Bestagini P, Delp EJ, Tubaro S (2017) Tampering detection and localization through clustering of camera-based CNN features. In: 2017 IEEE Conf. Comput. Vis. Pattern Recognit. Work., IEEE, pp. 1855–1864Chauhan D, Kasat D, Jain S, Thakare V (2016) Survey on keypoint based copy-move forgery detection methods on image. Procedia Comput Sci 85:206–212Article Google Scholar Chen J, Kang X, Liu Y, Wang ZJ (2015) Median filtering forensics based on convolutional neural networks. IEEE Signal Process Lett 22:1849–1853Article Google Scholar Christlein V, Riess C, Jordan J, Riess C, Angelopoulou E (2012) An evaluation of popular copy-move forgery detection approaches. IEEE Trans. Inf. Forensics Secur. 7:1841–1854Article Google Scholar Columbia Image Splicing Detection Evaluation Dataset, (n.d.) DVMM. Click the PC Security tab or click the Go to PC Security button. The PC Security panel displays. Click the PC that you want to modify. The Security panel for that computer displays. In the Security Setting line, click the Edit link. Click the Click the Update Security tab Click on the Windows Security tab Click the Open Windows Security Button Click the Virus Threat Protection tab Click Scan Disable Secure Boot by Default: By default, Secure Boot is enabled on Linux. To disable it, follow these steps: Click on the System menu and select Settings. Click on Advanced. Click on Security. Click on Secure Boot. Click on Turn off Secure Boot. Re-enable Secure Boot: To re-enable Secure Boot, follow these steps: Click the Security tab. Under the Security basics section, click the Advanced security options link. Under the Additional security section, click the Turn on link for the To change your Notes password. Click File Security User Security (Macintosh OS X users: Notes Security User Security). Click Security Basics, and then click Change Password To view the password checking dialog boxes, click File Security User Security (Macintosh OS X users: Lotus Notes Security User Security), click Security Basics, and then click Click My Drives in the Command panel. Select your drive. Click Security in the Command panel to open the Security window. The Security window opens. Click Encryption in the Security Click on Start: Click on the Start menu and select Settings .; Click on Update Security: Click on Update Security.; Click on Troubleshoot: Click on Troubleshoot.; Select Lippi G, Henry BM. Chronic obstructive pulmonary disease is associated with severe coronavirus disease 2019 (COVID-19). Respir Med. 2020;167:105941. PubMed PubMed Central Google Scholar Hirsch JS, Ng JH, Ross DW, Sharma P, Shah HH, Barnett RL, et al. Acute kidney injury in patients hospitalized with COVID-19. Kidney Int. 2020;98(1):209–18. CAS PubMed PubMed Central Google Scholar Moon AM, Webb GJ, Aloman C, Armstrong MJ, Cargill T, Dhanasekaran R, et al. High mortality rates for SARS-CoV-2 infection in patients with pre- existing chronic liver disease and cirrhosis: preliminary results from an international registry. J Hepatol. 2020;73(3):705–8. CAS PubMed PubMed Central Google Scholar Fadini GP, Morieri ML, Longato E, Avogaro A. Prevalence and impact of diabetes among people infected with SARS-CoV-2. J Endocrinol Investig. 2020;43(6):867–9. CAS Google Scholar Gao Y, Chen Y, Liu M, Shi S, Tian J. Impacts of immunosuppression and immunodeficiency on COVID-19: a systematic review and meta-analysis. J Inf Secur. 2020;81(2):e93–5. CAS Google Scholar Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–5. CAS PubMed PubMed Central Google Scholar Zheng Z, Peng F, Xu B, Zhao J, Liu H, Peng J, et al. Risk factors of critical & mortal COVID-19 cases: a systematic literature review and meta-analysis. J Inf Secur. 2020;81(2):e16–25. CAS Google Scholar Zhang H, Han H, He T, Labbe KE, Hernandez AV, Chen H et al. Clinical Characteristics and Outcomes of COVID-19-Infected Cancer Patients: A Systematic Review and Meta-Analysis. J Natl Cancer Inst. 2020;Online ahead of print.Pranata R, Huang I, Lim MA, Wahjoepramono EJ, July J. Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19-systematic review, meta-analysis, and meta- regression. J Stroke Cerebrovasc Dis. 2020;29(8):104949. PubMed PubMed Central Google Scholar Aziz F, Mandelbrot D, Singh T, Parajuli S, Garg N, Mohamed M, et al. Early report on published outcomes in kidney transplant recipients compared to nontransplant patients infected with coronavirus disease 2019. Transplant Proc. 2020;52(9):2659–62. CAS PubMed PubMed Central Google Scholar Aziz H, Lashkari N, Yoon YC, Kim J,Comments
1 Chapter Cancel anytime Subscribe now Buy Now Price excludes VAT (USA) Tax calculation will be finalised during checkout. Instant access to the full article PDF. Similar content being viewed by others ReferencesAmerini I, Ballan L, Caldelli R, Del Bimbo A, Serra G (2011) A sift-based forensic method for copy–move attack detection and transformation recovery. IEEE Trans. Inf. Forensics Secur. 6:1099–1110Article Google Scholar Amerini I, Ballan L, Caldelli R, Del Bimbo A, Del Tongo L, Serra G (2013) Copy-move forgery detection and localization by means of robust clustering with J-linkage. Signal Process Image Commun 28:659–669Article Google Scholar Amerini I, Uricchio T, Ballan L, Caldelli R (2017) Localization of JPEG double compression through multi-domain convolutional neural networks. In: 2017 IEEE Conf. Comput. Vis. Pattern Recognit. Work., IEEE, pp. 1865–1871Bay H, Ess A, Tuytelaars T, Van Gool L (2008) Speeded-up robust features (SURF). Comput Vis Image Underst 110:346–359Article Google Scholar Bayar B, Stamm MC (2016) A deep learning approach to universal image manipulation detection using a new convolutional layer. In: Proc. 4th ACM Work. Inf. Hiding Multimed. Secur., pp. 5–10Bi X, Wei Y, Xiao B, Li W (2019) Rru-net: The ringed residual u-net for image splicing forgery detection. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Work., p. 0Bo X, Junwen W, Guangjie L, Yuewei D (2010) Image copy-move forgery detection based on SURF. In: 2010 Int. Conf. Multimed. Inf. Netw. Secur., IEEE, pp. 889–892Bondi L, Lameri S, Güera D, Bestagini P, Delp EJ, Tubaro S (2017) Tampering detection and localization through clustering of camera-based CNN features. In: 2017 IEEE Conf. Comput. Vis. Pattern Recognit. Work., IEEE, pp. 1855–1864Chauhan D, Kasat D, Jain S, Thakare V (2016) Survey on keypoint based copy-move forgery detection methods on image. Procedia Comput Sci 85:206–212Article Google Scholar Chen J, Kang X, Liu Y, Wang ZJ (2015) Median filtering forensics based on convolutional neural networks. IEEE Signal Process Lett 22:1849–1853Article Google Scholar Christlein V, Riess C, Jordan J, Riess C, Angelopoulou E (2012) An evaluation of popular copy-move forgery detection approaches. IEEE Trans. Inf. Forensics Secur. 7:1841–1854Article Google Scholar Columbia Image Splicing Detection Evaluation Dataset, (n.d.) DVMM
2025-03-25Lippi G, Henry BM. Chronic obstructive pulmonary disease is associated with severe coronavirus disease 2019 (COVID-19). Respir Med. 2020;167:105941. PubMed PubMed Central Google Scholar Hirsch JS, Ng JH, Ross DW, Sharma P, Shah HH, Barnett RL, et al. Acute kidney injury in patients hospitalized with COVID-19. Kidney Int. 2020;98(1):209–18. CAS PubMed PubMed Central Google Scholar Moon AM, Webb GJ, Aloman C, Armstrong MJ, Cargill T, Dhanasekaran R, et al. High mortality rates for SARS-CoV-2 infection in patients with pre- existing chronic liver disease and cirrhosis: preliminary results from an international registry. J Hepatol. 2020;73(3):705–8. CAS PubMed PubMed Central Google Scholar Fadini GP, Morieri ML, Longato E, Avogaro A. Prevalence and impact of diabetes among people infected with SARS-CoV-2. J Endocrinol Investig. 2020;43(6):867–9. CAS Google Scholar Gao Y, Chen Y, Liu M, Shi S, Tian J. Impacts of immunosuppression and immunodeficiency on COVID-19: a systematic review and meta-analysis. J Inf Secur. 2020;81(2):e93–5. CAS Google Scholar Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–5. CAS PubMed PubMed Central Google Scholar Zheng Z, Peng F, Xu B, Zhao J, Liu H, Peng J, et al. Risk factors of critical & mortal COVID-19 cases: a systematic literature review and meta-analysis. J Inf Secur. 2020;81(2):e16–25. CAS Google Scholar Zhang H, Han H, He T, Labbe KE, Hernandez AV, Chen H et al. Clinical Characteristics and Outcomes of COVID-19-Infected Cancer Patients: A Systematic Review and Meta-Analysis. J Natl Cancer Inst. 2020;Online ahead of print.Pranata R, Huang I, Lim MA, Wahjoepramono EJ, July J. Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19-systematic review, meta-analysis, and meta- regression. J Stroke Cerebrovasc Dis. 2020;29(8):104949. PubMed PubMed Central Google Scholar Aziz F, Mandelbrot D, Singh T, Parajuli S, Garg N, Mohamed M, et al. Early report on published outcomes in kidney transplant recipients compared to nontransplant patients infected with coronavirus disease 2019. Transplant Proc. 2020;52(9):2659–62. CAS PubMed PubMed Central Google Scholar Aziz H, Lashkari N, Yoon YC, Kim J,
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