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Now showing items 343-362 of 578

Multi-level encoder-decoder architectures for image restoration

Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2019-05)

Many real-world solutions for image restoration are learning-free and based on handcrafted image priors such as self-similarity. Recently, deep-learning methods that use training data have achieved state-of-the-art results ...
Multi-level encoder-decoder architectures for image restoration

Mastan, Indra Deep; Raman, Shanmuganathan (2019-06)
Multi-stage scheduling for a smart home with solar PV and battery energy storage - a case study

Rajasekhar, Batchu; Pindoriya, Naran M. (Institute of Electrical and Electronics Engineers (IEEE), 2015-11)

In this paper, a multi-stage optimal scheduling and controlling approach has been studied which performs the scheduling of household appliances and management of local energy resources with respect to conflicting objectives. ...
Multidimensional reflection symmetry: theory, algorithms, and applications

Nagar, Rajendra (2019-02-20)
Multidimensional reflection symmetry: theory, algorithms, and applications

Nagar, Rajendra (Indian Institute of Technology Gandhinagar, 2019)
Multilayered aluminum plasmonic metasurfaces for ultraviolet bandpass filtering

Hegde, Ravi S.; Soni, Anurag; Purohit, Surabhi (IEEE, 2017-01)

Abstract: A multilayered aluminum based metasurface is proposed towards realization of compact bandpass transmission filters for the ultraviolet spectral region. A systematic numerical study is presented that can assist ...
Multiple stages of regression to improve accuracy in calibrated lithography process models

Kumar, Pardeep; Rosenbluth, Alan E.; Pusuluri, Ramana Murthy; Viswanathan, Ramya; Srinivasan, Babji; Mohapatra, Nihar Ranjan (Society of Photo-optical Instrumentation Engineers, 2018-04)

A two-stage approach is introduced to improve the accuracy of compact patterning models used in large-scale computational lithography. Each of the two stages uses a separate empirically calibrated regression model whose ...
Nanostructural coloration

Hegde, Ravi S. (Taylor and Francis, 2018)

This chapter will discuss the use of resonances on eigenmodes in coupled multi-particle systems for structural coloration applications. Section 5.1 will give a briefintroduction to Colorimetry. Section 5.2 will discuss the ...
Nearest Kronecker product decomposition based normalized least mean square algorithm

Bhattacharjee, Sankha Subhra; George, Nithin V. (2020-05-04)
Network on Chips: The Journey Overview

Mekie, Joycee; Ved, Sneha N. (Institute of Electrical and Electronics Engineers (IEEE), 2014-01-05)

Summary form only given. This tutorial aims at highlighting the NoC journey from its origins till date. We also aim at giving an insight into the different path choices faced at different times and the preferred paths ...
Neuro-Fuzzy-Based Control for Parallel Cascade Control

Karthikeyan, Rangaswamy; Manickavasagam, K.; Tripathi, Shikha; Murthy, K.V.V. (De Gruyter, 2013-06)

This paper discusses the application of adaptive neuro-fuzzy inference system (ANFIS) control for a parallel cascade control system. Parallel cascade controllers have two controllers, primary and secondary controllers in ...
New methods to assess and improve LIGO detector duty cycle

Biswas, Ayon; McIver, Jess; Mahabal, Ashish (Cornell University Library, 2019-10)

A network of three or more gravitational wave detectors simultaneously taking data is required to generate a well-localized sky map for gravitational wave sources, such as GW170817. Local seismic disturbances often cause ...
No-reference quality assessment of tone mapped high dynamic range (HDR) images using transfer learning

Kumar, Abhinau; Gupta, Shashank; Chandra, Sai Sheetal; Raman, Shanmuganathan; Channappayya, Sumohana S. (2017-05-31)
No-reference quality assessment of tone-mapped image using convolutional neural networks

Ravuri, Chandra Sekhar (Indian Institute of Technology Gandhinagar, 2018)
Nonlinear active noise control using spline adaptive filters

Patel, Vinal; George, Nithin V. (Elsevier, 2015-06)
Nonlinear PCA for source optimization in optical lithography

Kumar, Pardeep; Srinivasan, Babji; Mohapatra, Nihar Ranjan (2013-09-03)

- In this paper, we propose a Kernel PCA (KPCA) based light source optimization method for computation of the aerial image. The proposed approach is more general in nature and considers both continuous as well as discontinuous ...
Nonlinear system identification using a cuckoo search optimized adaptive Hammerstein model

Gotmare, Akhilesh; Patidar, Rohan; George, Nithin V. (Elsevier, 2015-04)

An attempt has been made in this paper to model a nonlinear system using a Hammerstein model. The Hammerstein model considered in this paper is a functional link artificial neural network (FLANN) in cascade with an adaptive ...
A novel active anti-islanding protection scheme for grid-interactive roof-top solar PV system

Varier, Rohith; Pindoriya, Naran M. (IIT Guwahati, 2014-12)
A Novel Active Anti-Islanding Protection Scheme for Grid-Interactive Roof-Top Solar PV Systems

Varier, Rohith (Indian Institute of Technology, Gandhinagar, 2014-06)

The rising popularity of renewable resources has resulted in increased penetration levels of Distributed Generation (DG) into the utility grid. Unintentional islanding is one of the most important safety concerns associated ...
A novel approach to the extraction of multiple salient objects in an image

Muralidharan, Srikanth; Vasudevan, Arun Balajee; Chintapalli, Shiva Pratheek; Raman, Shanmuganathan (National Institute of Technology Calicut, Kerala, 2015-02)

Now showing items 343-362 of 578

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