Credit card Fraud Detecction In GSM using Cryptography Abstract? Credit card Fraud Detecction In GSM using Cryptography. This study proposes an online fraud-resistant technology for credit card e-transactions, which provides three characteristics: cardholder-driven identification, merchant-driven verification, < Final Year Projects > and issuer-driven authorization. This paper also presents the resistant capability of credit card frauds…
Credit Card Fraud Detection Using Neural Network Abstract?Credit Card Fraud Detection Using Neural Network. Due to the rapid progress of the e-commerce and online banking, use of credit cards has increased considerably leading to a large number of fraud incidents. In this paper, we have proposed a novel approach towards credit card fraud detection in…
Credit card transaction fraud detection Markov model Abstract? The most accepted payment mode is credit card for both online and offline in today’s world, it provides cashless shopping at every shop in all countries. It will be the most convenient way to do online shopping, paying bills etc. < Final Year Projects >Hence, risks…
Crime Automation & Reporting System Abstract? Crime Automation & Reporting System. National surveys demonstrate that millions of crimes go Unreported. Several reasons may contribute to this lack of reporting. Also Crime reporting needs to be possible 24/7. Although several other options exist and there are most publicized reporting mechanisms. Internet-based crime reporting systems allow victims…
Critical-Path Analysis and Low-Complexity Implementation of the LMS Adaptive Algorithm Abstract?This paper presents a precise analysis of the critical path of the least-mean-square (LMS) adaptive filter for deriving its architectures for high-speed and low-complexity implementation. It is shown that the direct-form LMS adaptive filter has nearly the same critical path as its transpose-form counterpart, but…
CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction Abstract? CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction. High utility sequential pattern mining has been considered as an important research problem and a number of relevant algorithms have been proposed for this topic. The main challenge of high utility sequential…
Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs Abstract?Addresses a new person reidentification problem without label information of persons under nonoverlapping target cameras. Given the matched (positive) and unmatched (negative) image pairs from source domain cameras, as well as unmatched < Final Year Projects 2016 > and unlabeled image pairs from target domain cameras, we…
Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus Abstract? Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus. Automatic classification of sentiment is important for numerous applications such as opinion mining, opinion summarization, contextual advertising, and market analysis. Typically, sentiment classification has been modeled as the problem of training a binary classifier using reviews annotated for…
Cross-Layer Metrics for Reliable Routing in Wireless Mesh Networks.Wireless mesh networks (WMNs) have emerged as a flexible and low-cost network infrastructure, where heterogeneous mesh routers managed by different users collaborate to extend network coverage. This paper proposes a novel routing metric, Expected Forwarded Counter (EFW), and two further variants, to cope with the problem of…
CrowdOp: Query Optimization for Declarative Crowdsourcing Systems Abstract? CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. We study the query optimization problem in declarative crowdsourcing systems. Declarative crowdsourcing is designed to hide the complexities and relieve the user the burden of dealing with the crowd. The user is only required to submitan SQL-like query and the…
Crowdsourcing for Top-K Query Processing over Uncertain Data Abstract?Querying uncertain data has become a prominent application due to the proliferation of user-generated content from social media and of data streams from sensors. When data ambiguity cannot be reduced algorithmically, crowdsourcing proves a viable approach, which consists in posting tasks to < Final Year Projects 2016…
CURRENT-MODE BOOST CONVERTER BY ADAPTIVE FILTERING Abstract-CURRENT-MODE BOOST CONVERTER BY ADAPTIVE FILTERING. This paper presents a mixed-signal power-factor-correction (PFC) control IC for the single-phase critical-conduction-mode (CRM) boost AC/DC converters. The peak current mode control is applied and analyzed by using the analog circuit. The voltage control loop is implemented in digital approach. This paper analyzes…
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