Now showing items 424-443 of 712
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Learning from Limited and Imperfect Data
Deep Neural Networks have demonstrated orders of magnitude improvement in capabilities over the years after AlexNet won the ImageNet challenge in 2012. One of the major reasons for this success is the availability of ... -
Learning Multiple Initial Conditions using Physics Informed Neural Networks
Physics-Informed Neural Networks (PINNs) and its variants have emerged as a tool for solving differential equations in the past few years. Although several variants of PINNs have been proposed, the majority of these ... -
Learning to Perceive Humans From Appearance and Pose
Analyzing humans and their activities takes a central role in computer vision. This requires machine learning models to encapsulate both the diverse poses and appearances exhibited by humans. Estimating the 3D poses of ... -
Lesion Synthesis using Physics-Based Noise Models for Low-Data Medical Imaging Regime applications
Lesion segmentation and their progression prediction in medical imaging relies critically on the availability of manually annotated, heterogeneous large pathological datasets. Acquiring such diverse large datasets is also ... -
Leveraging KG Embeddings for Knowledge Graph Question Answering
Knowledge graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. The goal of knowledge graph question answering (KGQA) is to answer natural language queries posed ... -
Leveraging Resources For Strategic Organizational Renewal A Co-Evolutionary Perspective
(2010-07-23)Multiple strategic discontinuities of the constantly changing business environment are driving organizations, both large and small to seek new ways of conducting business to create wealth. The only way organizations can ... -
Liquid jet injection into a supersonic crossflow: Influence of jet orifice shape on penetration and atomization
Liquid jet injection into supersonic crossflow is one of the conceptually simple ways of fuel atomization in SCRAMJET engines. The success of these engines demands the efficient mixing of incoming supersonic air and the ... -
Local area teacher groups : a new paradigm for human resource development in higher education
We would like to conclude the thesis by rigorously distinguishing among what we consider three major models of teacher improvement that have been or can be envisaged: training, development, and growth. As a transitive verb, ... -
Long-Running Multi-Component Climate Applications On Grids
(2013-10-04)Climate science or climatology is the scientific study of the earth’s climate, where climate is the term representing weather conditions averaged over a period of time. Climate models are mathematical models used to ... -
Low Overhead Soft Error Mitigation Methodologies
(2018-03-06)CMOS technology scaling is bringing new challenges to the designers in the form of new failure modes. The challenges include long term reliability failures and particle strike induced random failures. Studies have shown ... -
Malware Analysis using Profile Hidden Markov Models and Intrusion Detection in a Stream Learning Setting
(2018-02-18)In the last decade, a lot of machine learning and data mining based approaches have been used in the areas of intrusion detection, malware detection and classification and also traffic analysis. In the area of malware ... -
Materials, Processes and Device Design for High Performance, Sub-thermionic MoS2 FETs
The shrinking of the field-effect transistor (FET), commonly termed CMOS scaling, has revolutionised the semiconductor industry and impacted most aspects of human life. However, this decades-long successful trend of scaling ... -
Measurement of the viral phenomenon: New methodological exploration
Viral phenomenon in marketing refers to the rapid growth and adoption pattern of a product, akin to a biological virus. Viral phenomenon can be defined as “a word-of-mouth diffusion process wherein a message is actively ... -
Mechanistic insights into the effects and applications of shockwaves in prokaryotic and eukaryotic organisms
Shock waves are non-linear waves propagating at speeds greater than the speed of sound, with a unique characteristic of instantaneously increasing the pressure, temperature and density of the medium through which they ... -
Mechanobiology of Liver Fibrosis: Role of Hepatocytes in Fibrosis Progression
Liver fibrosis is characterized by liver scarring which disrupts the liver architecture and impairs hepatic function. Current diagnostic tools reveal that the stiffness of the liver tissue increases as one advances through ... -
Memory Efficient Regular Expression Pattern Matching Architecture For Network Intrusion Detection Systems
(2014-06-05)The rampant growth of the Internet has been coupled with an equivalent growth in cyber crime over the Internet. With our increased reliance on the Internet for commerce, social networking, information acquisition, and ...