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008			230128s2022 si | s |1|| 0|eng d
020			_a9789811653018
024	7		_a10.1007/978-981-16-5301-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.S63 _b2022 EB
245	0	0	_aSoft Computing for Security Applications : _bProceedings of ICSCS 2021 _cedited by G. Ranganathan, Xavier Fernando, Fuqian Shi, Youssouf El Allioui
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVIII, 972 páginas) _b478 ilustraciones, 341 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1397
505	0		_aFacial Image Denoising and Reconstruction -- One Method for RC5 Algorithm's Cryptographic Strength Improving -- Multiclass Classification of Firewall Log Files Using Shallow Neural Network for Network Security Applications -- On the Possibility of Evasion Attacks with Macro Malware -- IoT-Based Smart Crop Field Monitoring and Protection System from Heavy Rainfall Utilizing Raspberry Pi.
520			_aThis book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.
988			_aSpringer_Robotics_2022
650		7	_2embne _9166276 _aSoft Computing _vCongresos y asambleas
650		7	_2embne _9158200 _aSeguridad informática _vCongresos y asambleas
776	0	8	_iPrinted edition: _z9789811653001
776	0	8	_iPrinted edition: _z9789811653025
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5301-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI