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The crime of tampering with computer data is an incrimination that contains elements that are also found in the content of other crimes, which is why, in judicial practice, the issue of the correct delimitation of this crime from other similar ones has ...
Ruxandra Răducanu
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Computing on Authenticated Data [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jae Hyun Ahn +5 more
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An Extension in the Concept and Types of Property in the Cyberspace (A Comparative Study On the Proprietary Worth of Computer Data in Islam, Iran and Common Law) [PDF]
The increasing use of the Internet in human societies and the emergence and evolution of the term "virtual property" in the field of e-commerce has necessitated a review of the concept of property and the criteria of proprietary worth in things.
Ebrahim Abdipour fard, morteza vesali
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A Multimodel Fusion Method for Cardiovascular Disease Detection Using ECG
Objective. Electrocardiogram (ECG) is an important diagnostic tool that has been the subject of much research in recent years. Owing to a lack of well-labeled ECG record databases, most of this work has focused on heartbeat arrhythmia detection based on ...
Guanghui Song +4 more
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A Class of New Permutation Polynomials over F2n
In this paper, according to the known results of some normalized permutation polynomials with degree 5 over F2n, we determine sufficient and necessary conditions on the coefficients b1,b2∈F2n2 such that fx=x3x¯2+b1x2x¯+b2x permutes F2n.
Qian Liu, Ximeng Liu, Jian Zou
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Considerații tehnice și juridice privind reținerea infracțiunii de acces ilegal la un sistem informatic în situația interogării unei baze de date prin depășirea limitelor autorizării [PDF]
Along with the digitalisation within the public institutions and authorities, as well as within the organisations that process large quantities of electronic information (financial and banking institutions, insurance companies, providers of utilities or ...
Maxim Dobrinoiu
doaj
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing
Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excellent performance. But the adversarial attack and defense for them should be thoroughly studied before putting them into safety-sensitive use.
Jianfeng Yu +5 more
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NNNPE: non-neighbourhood and neighbourhood preserving embedding
Manifold learning is an important class of methods for nonlinear dimensionality reduction. Among them, the LLE optimisation goal is to maintain the relationship between local neighbourhoods in the original embedding manifold to reduce dimensionality, and
Kaizhi Chen +4 more
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Background The Alzheimer's Society wished to raise awareness that people with memory problems may benefit fromearly assessment and diagnosis, so that appropriate measures could be put in place and management improved. Objective To use routinely collected
Tom Chan +3 more
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Computing with Near Data [PDF]
One cost that plays a significant role in shaping the overall performance of both single-threaded and multi-thread applications in modern computing systems is the cost of moving data between compute elements and storage elements. Traditional approaches to address this cost are code and data layout reorganizations and various hardware enhancements. More
Tang, X. +4 more
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