![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Geochemical Evaluation of Groundwater Quality in the Coastal Aquifers of Kujang Block, Jagatsinghpur District, Eastern Odisha, India
With increased population, demand of groundwater for drinking and irrigation is on an exponential rise. The problem of groundwater in the coastal area has a substantial impact on the inhabitants of the area. T...
-
Article
Investigation of the structural, electrical, and magnetic behavior of Co3+-Ti4+ doped strontium hexaferrite: validation of measured and theoretical models
We report the effect of Co3+-Ti4+ doped SrFe12-(x–y)CoxTiyO19 (x = y = 0.0, x = 0.225, y = 0.1125) hexaferrite successfully prepared using the conventional ceramic route. The structural, optical, electrical, and ...
-
Chapter
Underlying the Impact of Economic, Social, and Governance Adaptation on Poverty Reduction Under the Shadow of External Financial Inflows—Panel Estimation from the Sub-Saharan Region
Social sustainability contributes to sustainable development in multiple ways. Providing justice in society encourages the distribution of economic resources equally. Currently, more than 700 million people li...
-
Article
Phase Evolution and Soft Magnetic Behavior of Mechanically Alloyed Fe–Co–Ni Medium Entropy Alloy at Different Disk Angular Velocity
FeCoNi medium entropy alloy was mechanically alloyed at two angular velocities, i.e., 500 and 300 rpm, utilizing a high-energy planetary ball mill. The energy transfer criteria, phase, and microstructural evol...
-
Article
Microstructure, Non-isothermal Crystallization Kinetics and Magnetic Behaviour Study of [FeCoNi100-x(SiMn)x] High Entropy Amorphous Alloys Synthesized by Mechanical Alloying
In this study, FeCoNi100-x(SiMn)x high entropy amorphous alloys (HEAAs) were successfully synthesized by mechanical alloying. The structural, non-isothermal crystallization kinetics and magnetic characteristics w...
-
Article
Classification of crop leaf diseases using image to image translation with deep-dream
Crop diseases are one of the primary triggers of yield devastation. As a result, early detection of crop diseases is critical to avert crop losses. In this study, a Deep-Dream (DD) based crop leaf disease dete...
-
Article
Influence of Si and Mn on the Phase Formation, Crystallization Kinetics, and Enhanced Magnetic Properties of Mechanically Alloyed NiCoFe(SiMn)x High Entropy Amorphous Alloys
NiCoFe(SiMn)x high entropy amorphous alloys (HEAAs) were successfully prepared via mechanical alloying. The structural and magnetic properties were investigated by X-ray diffraction, scanning electron microscopy,...
-
Chapter and Conference Paper
Plant Disease Classification Using Siamese Convolutional Neural Network
Through the years, plant diseases have been a consistent risk to food security. Hence, their rapid identification could significantly mitigate the economic losses around the world, also reducing the harmful ef...
-
Chapter and Conference Paper
TLDC: Tomato Leaf Disease Classification Using Deep Learning and Image Segmentation
Deep learning (DL) has made significant progress in identifying and classifying plant diseases. The convolutional neural network (CNN) model was utilized to classify diseased and healthy tomato plant leaves fo...
-
Chapter
An Analysis of Consumer Expectations, Nature and Economic Implications of Smart Banking System in India
The growing pace of smart banking adoption has helped to reduce manual activities while making transactions relatively cheaper and increasing the flow of money. The aim of this study was to critically analyze ...
-
Chapter and Conference Paper
Classification and Activation Map Visualization of Banana Diseases Using Deep Learning Models
Machine learning, especially deep learning (DL), comprises a modern, recent technique to process the images and data, with promising outcomes and enormous potential. DL is acquiring prevalence as it proves its...
-
Chapter
Understanding the Performance of Core Inflation in India
The present study aims to empirically understand the behaviour of core inflation in India. A measure of core inflation is developed, and it is empirically estimated for the time period of January 2012–December...
-
Chapter and Conference Paper
Deep Learning Models for Crop Quality and Diseases Detection
Deep Learning is acquiring momentum in the agricultural field for crop disease detection using image processing due to its computational power. Several deep learning techniques have been implemented in differe...
-
Article
Impact of Si and Mg on Microstructural and Magnetic Behavior of Fe-Co-Ni (Mg-Si)x (x = 0.00,0.1,0.2) Multicomponent Alloys
The multicomponent alloys, namely FeCoNi(Mg-Si)x (x = 0.00,0.1,0.2) were prepared by mechanical alloying (MA) followed by conventional sintering at 900 °C. The impact of magnesium (Mg) and silicon (Si) on the mic...
-
Article
Microstructure and magnetic behavior of FeCoNi(Mn—Si)x (x = 0.5, 0.75, 1.0) high-entropy alloys
FeCoNi(Mn—Si)x (x = 0.5, 0.75, 1.0) high-entropy alloys (HEAs) were successfully synthesized by mechanical alloying (MA), and the effect of Mn and Si in the ferromagnetic alloys on crystal structure and magnetic ...
-
Chapter and Conference Paper
Challenges and Issues in Adopting Speech Recognition
The area of automatic speech recognition is being discussed from past few decades, and significant advancement is being observed periodically on the automatic speech recognition (ASR) and language spoken syst...
-
Chapter and Conference Paper
Core Inflation Dynamics and Impact of Demand and Supply Shocks: Evidence from India
This paper attempts to investigate the impact of and supply side factors on in . First, we empirically calculate through conventional exclusion based measure (excluding food, excluding energy and exclud...
-
Chapter and Conference Paper
A Quinphone-Based Context-Dependent Acoustic Modeling for LVCSR
Automatic speech recognition (ASR) is used for accurate and efficient conversion of speech signal into a text message. Generally, speech signal is taken as input and it is processed at front end to extract fea...
-
Article
Effect of grain size on electric transport and magnetic behavior of strontium hexaferrite (SrFe12O19)
Polycrystalline M-type hexagonal strontium hexaferrite (SrFe12O19) was prepared by conventional ceramic route (LG SrM) and auto combustion (SG SrM) method. The single-phase pattern and well grain growth was confi...
-
Article
Extraction of Nattokinase Enzyme from Bacillus cereus Isolated from Rust
Nattokinase (NK) is widely used as the thrombolytic agent due to its low cost as compared to several other thrombolytic agents. In the present study rust samples from iron rod was collected and subjected to is...