Browsing by Title
Now showing items 4870-4889 of 8778
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A Neural Network Approach to Modelling Hawkes Processes for Financial Applications
In 1971, Alan Hawkes introduced a set of stochastic point processes characterized by the unique feature that the incidence of an event heightened the likelihood of subsequent events, leading to the clustering of events. ... -
A Neural Network Approach To Rotorcraft Parameter Estimation
(2009-07-03)The present work focuses on the system identification method of aerodynamic parameter estimation which is used to calculate the stability and control derivatives required for aircraft flight mechanics. A new rotorcraft ... -
Neural networks for invariant recognition of 2-D objects
This thesis studies the problem of translation-, rotation- and size-invariant recognition of two-dimensional objects. This problem can be framed as follows: Given (i) a set of object descriptions in terms of either global ... -
Neural Representation Learning for Speech and Audio Signals
Representation learning is the branch of machine learning consisting of techniques that are capable of automatically discovering meaningful representations from raw data for efficient information extraction. In recent ... -
Neuro-electronic Hybrid Systems
Artificial neural networks have provided a powerful motif to implement extremely complex functions of high dimensional inputs like images and text. These are now being used to directly control robotic systems, to enable ... -
Neuroimmune Regulation in Caenorhabditis elegans: The Roles of the Amphid Sensory Neurons and Olfaction in Host Immune Responses
The ability of hosts to rapidly sense invading pathogens and mount an appropriate response is paramount for host survival. Pathogens, pervasive in the natural world, present a perpetual threat to host organisms. Examining ... -
Neuromorphic Silicon Retinas: Analog and Digital Models
Silicon retinas are artificial retinal devices designed to replicate the functionality of the biological retina using silicon-based technologies. These retinas aim to address visual impairment by capturing and processing ... -
Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data
Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ... -
Neuronal complex bursts and network information transfer in the hippocampus are robust to biophysical heterogeneities
Biological entities must adopt mechanisms to override the impact of external perturbations to achieve stability and robustness. A crucial feature of biological systems is that they exhibit several forms of heterogeneities ... -
Neuronal Correlations And Real-Time Implementation Of Spatio-Temporal Patterns Of Cultured Hippocampal Neural Networks in vitro
(2011-01-19)The study of cultured neuronal networks has opened up avenues for understanding the ion channels, receptor molecules, and synaptic plasticity that may form the basis of learning and memory. The hippocampal neurons prepared ... -
Neuronal Dissimilarity Indices that Predict Oddball Detection in Behaviour
(2017-09-23)Our vision is as yet unsurpassed by machines because of the sophisticated representations of objects in our brains. This representation is vastly different from a pixel-based representation used in machine storages. It is ... -
New Active Site Fold And The Role Of Metal Ions In Structure Function Relationship Of A Promiscuous Endonuclease - R.KpnI
(2010-07-08)Bacteria employ survival strategies to protect themselves against foreign invaders, including bacteriophages. The ‘immune system’ of bacteria relies mostly on restriction-modification (R-M) systems. The primary role of R-M ... -
A New Algorithm For Linear Tree Pattern Matching
(2012-05-03) -
New algorithm for linear tree pattern matching
Tree pattern matching is foundational to a wide variety of applications in Computer Science. We consider the problem of linear tree pattern matching and adopt a technique used for parsing context-free languages for this ... -
New Algorithmic and Hardness Results in Learning, Error Correcting Codes and Constraint Satisfaction Problems
Approximation algorithms are a natural way to deal with the intractability barrier that is inherent in many naturally arising computational problems. However, it is often the case that the task of solving the approximation ... -
New Algorithms for Some Economic Dispatch Problems
(2018-01-01)An electric power system consists of several generating stations which cater to the load demands of various regions. The prime function of any generating utility is to optimally schedule the real power output of its ... -
New Anions In The Assembly Of The Open-Framework Compounds : Synthesis, Structure And Properties
(2013-02-18)Open-framework inorganic materials constitute an important area of study in materials chemistry, because of their potential applications in areas such as sorption and catalysis. After the discovery of nanoporous aluminium ... -
New Anthraquinone & Xanthone based Ligands as Potential Anti Cancer Agents via Selective Stabilization of G Quadruplex DNA and Theoretical Insights into G Quadruplex RNA Binding with Certain Small Molecules
In recent years, different small molecules have been synthesized for selective stabilization of G-quadruplex DNA structures over the most abundant double-stranded duplex DNA. Stabilization of G-quadruplex DNA by small ...