Showing 49–60 of 1910 results
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data. Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and…
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data.Feature selection involvesidentifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points…
A fault-tolerant scheduling system for computational grids Abstract? Fault-tolerant scheduling is an important issue for computational grid systems, as grids typically consist of strongly varying and geographically distributed resources. The main scheduling strategy of most fault-tolerant scheduling systems depends on the response time and fault index when selecting a resource to execute a certain job.<...
A Flexible Fully Hardwired CABAC Encoderfor UHDTV H.264/AVC High Profile Video Abstract– A Flexible Fully Hardwired CABAC Encoderfor UHDTV H.264/AVC High Profile Video. In this paper, a flexible CABAC encoder architecture for H.264/AVC encoder applications up to UHDTV (7680?4320) resolution is proposed. Stages of CABAC encoding are analyzed and a generalized CABAC architecture is designed….
A Flexible Low Power DSP With a Programmable Truncated Multiplier Abstract? A Flexible Low Power DSP With a Programmable Truncated Multiplier. Truncated multiplication reduces part of the power required by multipliers by only computing the most-significant bits of the product. The most common approach to truncation includes physical reduction of the partial product matrix and…
A Framework for Personal Mobile Commerce Pattern Mining and Prediction Abstract? A Framework for Personal Mobile Commerce Pattern Mining and Prediction. Due to a wide range of potential applications, research on mobile commerce has received a lot of interests from both of the industry and academia. Among them, one of the active topic areas is…
A Framework to Eliminate Backdoors from Response-Computable Authentication Abstract?A Framework to Eliminate Backdoors from Response-Computable AuthenticationResponse-computable authentication (RCA) is a two-party authentication model widely adopted by authentication systems, where an authentication system independently computes the expected user response and authenticates a user if the actual user response matches the expected value. Such authentication systems have…
A Frequency-Domain Adaptive Filter (FDAF) Prediction Error Method (PEM) Framework for Double-Talk-Robust Acoustic Echo Cancellation Abstract?A Frequency-Domain Adaptive Filter (FDAF) Prediction Error Method (PEM) Framework for Double-Talk-Robust Acoustic Echo Cancellation. A new framework to tackle the double-talk (DT) problem in acoustic echo cancellation (AEC). It is based on a frequency-domain adaptive filter (FDAF) implementation of…
A Fuzzy Inference System Combined with Wavelet Transform for Breast Mass Classification Abstract? a combination of the Fast Wavelet Transform (FWT) and Adaptive Neuro-fuzzy Inference System (ANFIS) methods. The goal is classification of breast masses as benign or malignant by applying< Final Year Projects > this method consecutively to the extracted features of the Region…
A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services Abstract?A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services. The Web creates excellent opportunities for businesses to provide personalized online services to their customers. Recommender systems aim to automatically generate personalized suggestions of products/services to customers (businesses or individuals). Although recommender systems have been…
A General Technique for Top-k Geometric Intersection Query Problems Abstract? A General Technique for Top-k Geometric Intersection Query Problems. In a top-k Geometric Intersection Query (top-k GIQ) problem, a set of n weighted, geometric objects in Rd is to be preprocessed into a compact data structure so that for any query geometric object, q, and…
A General Technique for Top-k Geometric Intersection Query Problems Abstract?A General Technique for Top-k Geometric Intersection Query Problems. In a top-k Geometric Intersection Query (top-k GIQ) problem, a set of n weighted, geometric objects in Rd is to be preprocessed into a compact data structure so that for any < Final Year Projects > query…
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