Showing 337–348 of 2024 results
An unsupervised feature selection algorithm based on ant colony optimization Abstract?Feature selection is a combinatorial optimization problem that selects most relevant features from an original feature set to increase the performance of classification or clustering algorithms. Most feature selection methods are supervised methods and use the class labels as a guide. On the other hand,…
Analysis of Leakage Current and Leakage Power Reduction during Write operation in CMOS SRAM Cell Abstract?Leakage power is a major issue for short channel devices. As the technology is shrinking (i.e., 180nm, 90nm, 45nm. etc.) the leakage current is increasing very fast. < Final Year Projects > So, several methods and techniques have been proposed…
Analysis and design of a low-voltage low power Double-Tail Comparator Abstract? Analysis and design of a low-voltage low power Double-Tail Comparator. The need for ultra low-power, area efficient, and high speed analog-to-digital converters is pushing toward the use of dynamic regenerative comparators to maximize speed and power efficiency. In this paper, an analysis on the…
Analysis of feature selection stability on high dimension and small sample data. Abstract?Analysis of feature selection stability on high dimension and small sample data. Gene selection is a crucial step when building a classifier from microarray or metagenomic data. As the number of observations is small, the gene selection tends to be unstable. It is…
Analysis of T-Slot Loaded Disk Patch Antenna for Dual Band Operation with Small Frequency Ratio Abstract?A dual band patch antenna is achieved by introducing T- slot in circular disk with small frequency ratio. It is theoretically investigated using equivalent circuit theory concept idea. < Final Year Proejcts 2016 >The resonance frequency is found to be…
Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud Abstract?Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud. Understanding the characteristics and patterns of < Final Year Projects > workloads within a Cloud computing environment is critical in order to improve resource management and operational conditions while Quality of…
ANFIS based SHEPWM in Multilevel Inverter Using Generalized Hopfield Neural Network Abstract? ANFIS based SHEPWM in Multilevel Inverter Using Generalized Hopfield Neural Network. < Final Year Projects > Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons…
ANGEL: Agent-Based Scheduling for Real-Time Tasks in Virtualized Clouds Abstract?ANGEL: Agent-Based Scheduling for Real-Time Tasks in Virtualized Clouds. The Success of cloud computing makes an increasing number of real-time applications such as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for real-time tasks is playing an essential role for a cloud provider…
ANGEL: Agent-Based Scheduling for Real-Time Tasks in Virtualized Clouds Abstract? The success of cloud computing makes an increasing number of real-time applications such as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for real-time tasks is playing an essential role for a cloud provider to maintain its quality of service and enhance…
Annotating search result from web data bases Abstract? An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. < Final Year Projects >For the encoded data units to be machine processable, which…
Anomaly Detection in Extremely Crowded Scenes Using Spatio-Temporal Motion Pattern Models Abstract?Anomaly Detection in Extremely Crowded Scenes Using Spatio-Temporal Motion Pattern Models. Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling the local spatio-temporal motion pattern behavior of extremely crowded…
Anonymization of centralized and distributed social network by sequential clustering. We study the problem of privacy-preservation in social networks. We consider the distributed setting in which the network data is split between several data holders. The goal is to arrive at an anonymized view of the unified network without revealing to any of the data…
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