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Predictors of obesity among post graduate trainee doctors working in a tertiary care hospital of public sector in Karachi, Pakistan.
OBJECTIVES To identify the predictors of obesity among post graduate trainee doctors working in a tertiary care hospital of public sector at Karachi, Pakistan. METHODS A cross sectional analyticalExpand
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Machine Learning Techniques for Intrusion Detection: A Comparative Analysis
With the growth of internet world has transformed into a global market with all monetary and business exercises being carried online. Being the most imperative resource of the developing scene, it isExpand
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Wavelet neural network model for network intrusion detection system
Network Intrusion Detection is the process of analyzing the network traffic so as to unearth any unsafe and possibly disastrous exchanges happening over the network. In the nature of guaranteeing theExpand
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Benchmark Datasets for Network Intrusion Detection: A Review
Network Intrusion Detection is the process of monitoring the events occurring in a computer system or the network and analyzing them for the signs of possible intrusions. An intrusion is aExpand
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Feature selection techniques for intrusion detection using non-bio-inspired and bio-inspired optimization algorithms
As Internet access widens, IDS (Intrusion Detection System) is becoming a very important component of network security to prevent unauthorized use and misuse of data. An IDS routinely handles massiveExpand
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A Fusion of Feature Extraction and Feature Selection Technique for Network Intrusion Detection
With varied and widespread attacks on information systems, intrusion detection systems (IDS) have become an indispensable part of security policy for protecting data. IDS monitor event logs andExpand
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Peri-Urbanism in Globalizing India: A Study of Pollution, Health and Community Awareness
This paper examines the intersection between environmental pollution and people’s acknowledgements of, and responses to, health issues in Karhera, a former agricultural village situated between theExpand
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An Improvised k-NN Respecting Diversity of Data for Network Intrusion Detection
Network Intrusion Detection is a complex classification problem aimed at discriminating the legitimate from illegitimate and potentially harmful network connections over the communication network.Expand
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Large-scale nonlinear dimensionality reduction for network intrusion detection
Network intrusion detection (NID) is a complex classification problem. In this paper, we combine classification with recent and scalable nonlinear dimensionality reduction (NLDR) methods.Expand