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Learning a Meta-Ensemble technique for skin lesion classification and novel class detection

Bagchi, S.; Banerjee, A.; Bathula, D. R. (2021-06-24)

The frequency and fatality rates associated with skin Melanoma requires an accurate and efficient detection methodology to enable early medical diagnosis. Artificial Intelligence (AI) augmented detection methods aim ...

Role of grain Size on the effective resistivity of Cu-Graphene hybrid interconnects

Kumar, R.; Pathania, S.; Guglani, S.; Kumar, A.; Kumar, S.; Roy, S.; Kaushik, B. K.; Sharma, R. (2021-06-24)

At sub-22nm technology nodes, size effects play a prominent role in the performance degradation of Cu interconnects. Several scattering mechanisms contribute to size effects, including surface roughness and grain ...

First principle analysis of Li-Doped armchair graphene nanoribbons for nanoscale metal interconnect applications

Nishad, V. K.; Sharma, R. (2021-06-24)

In this paper, the effect of alkali metal, Li, as substitutional doping in armchair Graphene Nanoribbons (AGNRs) is investigated. Electronic and transport properties and structural stability of Li-doped AGNRs are ...

Towards the prediction of intergranular fatigue crack initiation in metals due to hydrogen

Arora, A.; Singh, H.; Mahajan, D. K. (2021-06-24)

Hydrogen deteriorates the fatigue behaviour of metals by attacking their microstructure in different ways. For better clarity about hydrogen-based degradation of metals, it is vital to identify the microstructural ...

An Open-Loop fundamental and harmonic phasor estimator for Single-Phase voltage signals

Reddy, M. V.; Sodhi, R. (2021-06-24)

his article proposes a novel technique for fundamental and selective harmonic phasor estimation of a single-phase voltage signal based on open-loop voltage signal processing approach, under adverse distorted conditions. ...

Blind cancellation in Radar-Based self driving vehicles

Singh, R.; Saluja, D.; Kumar, S. (2021-06-24)

Mutual interference among the radar sensors has become a serious concern due to the extensive growth of self driving vehicles (SDV) equipped with such sensors. The problem becomes more severe with the increase in traffic ...

ACA-CSU: a carry selection based accuracy configurable approximate adder design

Kanani, A.; Mehta, J.; Goel, N. (2021-06-24)

Approximate arithmetic circuits can be more effective if their accuracy can be controlled. In this paper, we propose a carry selection based accuracy configurable approximate adder. In the proposed design, longer carry ...

ReARM: a reconfigurable approximate Rounding-Based multiplier for image processing

Bhattacharjya, R.; Kanani, A.; Goel, N. (2021-06-24)

This paper aims to present a reconfigurable rounding based multiplier with different accuracy levels. It is based on a divide and conquer approach for applications in image processing. Our proposed approach divides the ...

Scale invariant fast PHT based Copy-Move forgery detection

Aimen, A.; Kaur, A.; Sidheekh, S. (2021-06-24)

Copy-Move forgery is a type of image forgery wherein a patch from the image is copied and pasted on the same image either to increase the occurrence of a particular object or to conceal some important detail in the ...

An adaptive class topper optimization algorithm to solve ecological emission economic load dispatch problem

Gupta, P. K.; Das, D. K.; Srivastava, A. (2021-06-24)

In this paper, an improved version of class topper optimization algorithm with adaptive improvement factor is proposed to solve a multi-objective ecological emission economic load dispatch (EELD) problems. The proposed ...

Visible-Light-Driven selective oxidation of Biomass-Derived HMF to DFF coupled with H2 generation by noble Metal-Free Zn0.5Cd0.5S/ MnO2 heterostructures

Dhingra, S.; Chhabra, T.; Krishnan, V.; Nagaraja, C. M. (2021-06-24)

The development of efficient photocatalysts for utilization of solar energy for water splitting coupled with oxidation of biomass-derivatives is of utmost importance for the simultaneous production of clean fuel (H2) and ...

WiTPy: a toolkit to parse and analyse wikipedia talk pages

Verma, A. A.; Iyengar, S.R.S.; Gandhi, N. (2021-06-22)

In this article, we propose an opensource toolkit to extract, parse, and analyze the Wikipedia talk pages. The core parser uses a tree-based approach to parse the unstructured comments and a JSON(JavaScript Object ...

A novel power quality enhancement strategy for single phase islanded microgrid

Reddy, M. V.; Sodhi, R. (2021-06-22)

The aim of the present work is to improve the Power Quality (PQ) under the islanded mode of operation for single phase MicroGrid (MG). For this purpose, a novel voltagesensorless, selective harmonic compensation scheme ...

Effect of device dimensions, layout and Pre-Gate carbon implant on hot carrier induced degradation in HKMG nMOS transistors

Duhan, P.; Rao, V. R.; Mohapatra, N. R. (2021-06-22)

The hot carrier (HC) induced degradation has become a major concern in advanced CMOS technologies because of non-scalable VDD. In this work, we have shown that the HC induced degradation in gate-first HKMG nMOS transistors ...

Thermal sensitivity of dielectric materials in High-Speed designs

Pathania, S.; Mutnury, B.; Vasa, M.; Kumar, V.; Muthusamy, S.; Seema, P. K.; Sharma, R. (2021-06-22)

At high-speeds, careful analysis is required at the design stage to ensure robust signal integrity (SI) in high-speed printed circuit boards (PCBs). Signal loss in PCBs is predominantly due to conductor loss, dielectric ...

Investigation on transformer oil parameters using support vector machine

Singh, B.; Kumar, A. H.; Reddy, C. C. (2021-06-22)

Machine Learning has been used to predict the transformer oil parameters by using data obtained from Megger tests and transformer oil test. The relationship among the measured insulation resistance (among distribution ...

Machine learning-based acoustic repellent system for protecting crops against wild animal attacks

Ranparia, D.; Singh, G.; Rattan, A.; Singh, H.; Auluck, N. (2021-06-22)

In this paper, we present some insights on the issue of crop destruction by wild animals. This is a serious concern for the affected farmers throughout the world and leads to significant social and financial distress among ...

Identification of brand logos from video feed

Garg, P.; Tripathi, A.; Sahani, A. K. (2021-06-22)

In this paper we have made an attempt to build a Machine Learning model based on Yolo algorithm to calculate the brand visibility of sponsored advertisements during live sports events such as cricket matches and based on ...

Comparison of neural networks for foreign exchange rate prediction

Agarwal, P.; Sahani, A. K. (2021-06-22)

The paper incorporates a comparison between long short term memory (LSTM), simple recurrent neural networks (SRNN), and gated recurrent unit (GRU) to predict currency exchange rate for 22 countries-currencies against United ...

Effect of surface resistance on the surface voltage in an insulated overhead conductor

Thomas, A. J.; Reddy, E. V.; Reddy, C. C. (2021-06-22)

Recently, insulated covered overhead conductors are gaining momentum instead of bare overhead conductor due to several advantages associated with them like improved power system reliability and other environmental aspects. ...

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