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Papers by waqas malik
2018 19th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 2018
Simulation of sensor readings is important within the field of advanced driver-assistance systems... more Simulation of sensor readings is important within the field of advanced driver-assistance systems, specifically with respect to feasibility studies of high-risk scenarios, where carrying out such test drives in the real world is expensive. Automotive radar signals are multi-dimensional and their data sizes are large, due to multiple measurements being taken within a short time frame in order to resolve ambiguities. Analyzing such signals and generating models from them is therefore no easy task. This paper presents an approach to generate models from data using neural networks. Conditional variational auto-encoders are used for their ability to learn complex distributions and can easily be trained via gradient descent-type algorithms. Our method is able to handle big data sizes and generate synthetic data of high accuracy.
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Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 2011
Gauguin (Grouping And Using Glyphs Uncovering Individual Nuances) is statistical data visualizati... more Gauguin (Grouping And Using Glyphs Uncovering Individual Nuances) is statistical data visualization software for the interactive graphical exploration of multivariate data using glyph representations. Glyphs are defined as geometric shapes scaled by the values of multivariate data. Each glyph represents one high-dimensional data point or the prototype (average) of a group or cluster of data points. This paper reviews the capabilities, functionality, and interactive properties of this software package. Key features of Gauguin are illustrated with data from the Programme for International Student Assessment.
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Frontiers in Psychology, 2011
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Plant physiology, Jan 16, 2015
A high resolution proteome and phosphoproteome atlas of four maize primary root tissues including... more A high resolution proteome and phosphoproteome atlas of four maize primary root tissues including cortex, stele, meristematic and elongation zone was generated. High performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS) identified 11,552 distinct nonmodified and 2,852 phosphorylated proteins across the four root tissues. Two gradients reflecting the abundance of functional protein classes along the longitudinal root axis were observed. While the classes "RNA", "DNA" and "protein" peaked in the meristematic zone, "cell wall", "lipid metabolism", "stress", "transport", and "secondary metabolism" culminated in the differentiation zone. Functional specialization of tissues is underscored by six of ten cortex-specific proteins involved in flavonoid biosynthesis. Comparison of the present dataset with high resolution seed and leaf proteome studies revealed 13% (1,504/11,552) root...
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2018 19th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 2018
Simulation of sensor readings is important within the field of advanced driver-assistance systems... more Simulation of sensor readings is important within the field of advanced driver-assistance systems, specifically with respect to feasibility studies of high-risk scenarios, where carrying out such test drives in the real world is expensive. Automotive radar signals are multi-dimensional and their data sizes are large, due to multiple measurements being taken within a short time frame in order to resolve ambiguities. Analyzing such signals and generating models from them is therefore no easy task. This paper presents an approach to generate models from data using neural networks. Conditional variational auto-encoders are used for their ability to learn complex distributions and can easily be trained via gradient descent-type algorithms. Our method is able to handle big data sizes and generate synthetic data of high accuracy.
Bookmarks Related papers MentionsView impact
Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 2011
Gauguin (Grouping And Using Glyphs Uncovering Individual Nuances) is statistical data visualizati... more Gauguin (Grouping And Using Glyphs Uncovering Individual Nuances) is statistical data visualization software for the interactive graphical exploration of multivariate data using glyph representations. Glyphs are defined as geometric shapes scaled by the values of multivariate data. Each glyph represents one high-dimensional data point or the prototype (average) of a group or cluster of data points. This paper reviews the capabilities, functionality, and interactive properties of this software package. Key features of Gauguin are illustrated with data from the Programme for International Student Assessment.
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Frontiers in Psychology, 2011
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Plant physiology, Jan 16, 2015
A high resolution proteome and phosphoproteome atlas of four maize primary root tissues including... more A high resolution proteome and phosphoproteome atlas of four maize primary root tissues including cortex, stele, meristematic and elongation zone was generated. High performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS) identified 11,552 distinct nonmodified and 2,852 phosphorylated proteins across the four root tissues. Two gradients reflecting the abundance of functional protein classes along the longitudinal root axis were observed. While the classes "RNA", "DNA" and "protein" peaked in the meristematic zone, "cell wall", "lipid metabolism", "stress", "transport", and "secondary metabolism" culminated in the differentiation zone. Functional specialization of tissues is underscored by six of ten cortex-specific proteins involved in flavonoid biosynthesis. Comparison of the present dataset with high resolution seed and leaf proteome studies revealed 13% (1,504/11,552) root...
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