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Estimating Morphological Features of Plant Growth Using Machine Vision
Motivated by the fact that human visionary intelligence plays a vital role in guiding many of the agriculture practices, this article represents an effective use of machine vision technology for estimating plant morphological...
Segmenting Reviewers Based on Reviewer and Review Characteristics
Being experiential commodities, it becomes difficult to make any judgment about hotels or attractions before their utilization. This is where the reviews provided by guests/tourists play an influential role. Therefore, it...
Analyzing Dependence of Key Macroeconomic Variables on BSE Using Regression
This paper aims to analyze the dependence of key macroeconomic variables on Bombay Stock Exchange (BSE) Sensex using regression modelling technique in RStudio. Monthly data points spanning a period from 2012 to 2019 has been...
Trends in COVID-19 Publications
Background: Research publications related to the novel coronavirus disease COVID-19 are rapidly increasing. However, current online literature hubs, even with artificial intelligence, are limited in identifying the complexity of...
Tailoring Interleaflet Lipid Transfer with a DNA-based Synthetic Enzyme.
Lipid membranes, enveloping all living systems, are of crucial importance, and control over their structure and composition is a highly desirable functionality of artificial structures. However, the rational design of...
Direct pressure sensing with carbon nanotubes grown in a micro-cavity
We report on the growth of multiwall carbon nanotubes (CNTs) at the centre of a bow tie micro-cavity and describe the change in resistance of these CNTs under gas pressure loading (ΔR/R ≅ 16%/atm). By adapting the...
Noise-activated barrier crossing in multi-attractor spiking networks
Noise-activated transitions between coexisting attractors are investigated in a chaotic spiking network. At low noise level, attractor hopping consists of discrete bifurcation events that conserve the memory of initial...
A RNN-LSTM-Based Predictive Modelling Framework for Stock Market Prediction Using Technical Indicators
The successful prediction of the stocks’ future price would produce substantial profit to the investor. In this paper, we propose a framework with the help of various technical indicators of the stock market to predict the...
SDN-Based Traffic Monitoring in Data Center Network Using Floodlight Controller
Data center networks are the backbone of IT infrastructure and cloud services. According to traffic pattern research, a small group of flows transport the vast majority of the bytes and are referred to as elephant flows. Proper...
Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph
Social Big Data is generated by interactions of connected users on social network. Sharing of opinions and contents amongst users, reviews of users for products, result in social Big Data. If any user intends to select products...
Role of the Secondary Phase η During High-Temperature Compression of ATI 718Plus®
Abstract: High-temperature compression tests were performed on a Ni-base superalloy with a multi-phase microstructure. Particular attention was given on the influence of the η phase on recrystallization of ATI 718Plus®. The...
Role of the Secondary Phase η During High-Temperature Compression of ATI 718Plus®
Abstract: High-temperature compression tests were performed on a Ni-base superalloy with a multi-phase microstructure. Particular attention was given on the influence of the η phase on recrystallization of ATI 718Plus®. The...
Direct pressure sensing with carbon nanotubes grown in a micro-cavity
We report on the growth of multiwall carbon nanotubes (CNTs) at the centre of a bow tie micro-cavity and describe the change in resistance of these CNTs under gas pressure loading (ΔR/R ≅ 16%/atm). By adapting the...
Application of Machine Learning Models for Malware Classification With Real and Synthetic Datasets
Stacking of multiple Machine Learning (ML) classifiers have gained popularity in addressing anomalous data classification along with Deep Learning (DL) algorithms. This study compares traditional ML classifiers, multi-layer...
Correction
Correction for ‘Pyroelectric materials and devices for energy harvesting applications’ by C. R. Bowen et al., Energy Environ. Sci., 2014, 7, 3836–3856.
Anti-ferroelectric ceramics for high energy density capacitors

With an ever increasing dependence on electrical energy for powering modern equipment and electronics, research is focused on the development of efficient methods for the generation, storage and distribution of electrical...

Cations Regulate Membrane Attachment and Functionality of DNA Nanostructures.
The interplay between nucleic acids and lipids underpins several key processes in molecular biology, synthetic biotechnology, vaccine technology, and nanomedicine. These interactions are often electrostatic in nature, and much...
Adoption and Usage of Over-the-Top Entertainment Services
Over-the-top (OTT) is the name of media entertainment services delivered over the internet, bypassing traditional mediums. The consumer preference for OTT entertainment platforms is increasing at a fast rate and is showing...
Effect of Job Fulfillment Over Employee Performance Execution at the Workplace
Workplace performance is an outcome of workplace satisfaction. It is essential to comprehend how workers can be held through making their job-related needs fulfilled to let them spurred towards delivering an exemplary...
Anti-ferroelectric ceramics for high energy density capacitors

With an ever increasing dependence on electrical energy for powering modern equipment and electronics, research is focused on the development of efficient methods for the generation, storage and distribution of electrical...

Speculation of Stock Marketing Using Advanced Recursive Techniques
In the current scenario, the economic status of countries is dependent on stock markets. However, predicting the future prices of any stock is a multifaceted task, as the nature of data is complex and unstructured in nature...
Noise-activated barrier crossing in multi-attractor spiking networks
Noise-activated transitions between coexisting attractors are investigated in a chaotic spiking network. At low noise level, attractor hopping consists of discrete bifurcation events that conserve the memory of initial...

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