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Negotiator Initiated Connectivity Restoration in Partitioned Wireless Sensor Networks
Wireless Sensor Networks (WSN) are groups of sensors, connected by communication links, spread over the area of interest, to perform a specific task. The network may get partitioned into clusters due to unanticipated ... -
Network Centrality Measures And Their Applications
(2014-03-03)Study of complex networks by researchers from many disciplines has provided penetrating insights on various complex systems. A study of the world wide web from a network theoretic perspective has led to the design of new ... -
Network Coding for Wirless Relaying and Wireline Networks
(2017-12-10)Network coding has emerged as an attractive alternative to routing because of the through put improvement it provides by reducing the number of channel uses. In a wireless scenario, in addition, further improvement can be ... -
Network Heterogeneities, Intrinsic Plasticity and Decorrelation in the Dentate Gyrus
A central premise for research in neuroscience is to mechanistically decipher the physiological roles of the brain in effectuating learning and memory. The tripartite framework that is at the core of learning and memory ... -
Network models uncover key molecular perturbations in complex human diseases
Biological systems are complex networks of molecular components that function in a tightly controlled manner. Any form of perturbation in these components or their associated interactions affects the normal physiology of ... -
A Networked Control Systems Framework for Smart Grids with Integrated Communication
(2018-02-28)Over the last decade, power systems have evolved dramatically around the world, owing to higher demand, stringent requirements on quality and environmental concerns that are becoming increasingly critical. With the ... -
Neural Approaches for Natural Language Query Answering over Source Code
During software development, developers need to ensure that the developed code is bug-free and the best coding practices are followed during the code development process. To guarantee this, the developers require answers ... -
Neural Architectures For Active Contour Modelling And For Pulse-Encoded Shape Recognition
(2014-09-12)An innate desire of many vision researchers IS to unravel the mystery of human visual perception Such an endeavor, even ~f it were not wholly successful, is expected to yield byproducts of considerable significance to ... -
Neural Correlates and Behavioral Underpinnings of Remote Memories during Systems Consolidation
Remote retrieval of declarative memories has been under investigation for a long time. After acquisition, long-term encoding of memories happens through crosstalk across multiple brain regions. Through systems consolidation, ... -
Neural Mechanisms underlying the planning of sequential saccades
Saccades are rapid eye movements that we continually make (about 2-3 times per second) to look around and scan our visual environment. Though we effortlessly execute saccadic eye movements all the time, they are not just ... -
Neural Models for Personalized Recommendation Systems with External Information
Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products ... -
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 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 ... -
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 ...