The Multilayer Perceptron produces the high level of accuracy i.e., 72.7% accuracy level. The Logistic approach produces the 81.45% of precision value. This is the highest precision value compare with other model. Rest of the algorithms namely Gaussian Processes, Linear Regression, Multilayer Perceptron and SGD have produce the precision values from 71 to 81%. The Multilayer Perceptron approach takes low time consumption like 0.09 s to build the model, the Next SGD approach takes 0.12 s to build the model, the Next Logistic approach takes the 0.18 s, the Next Gaussian Processes approach takes the 0.2 s and finally Linear Regression approach takes more time around 0.21 s to build the model. The Linear Regression, Multilayer Perceptron have produces the recall value most nearly with Gaussian Processes. Rest of the approaches like SGD results vast difference with our optimal results and Logistic has very low and vast difference with our optimal approaches. AI strategies are used in an ever-increasing number of true applications including limitations on computational spending plans, the precise incorporation of such imperatives into the cycle of model choice, and model improvement is needed to an expanding degree.

Enterprises are gathering and analyzing an increasing number of large amounts of facts to be able to derive enterprise insights. Two challenges to fulfill. First, in parallel programming is together time-consuming and error-susceptible. Second, the developing Cloud Computing paradigm executes the pr

In machine learning, recognition of human emotions by a machine is an important research area. It is informal to reason of emotions as a luxury, approximately that is needless for basic intelligent operative, and something that is problematic to encode in a computer program. Then giving expressiveca

This research work focuses on optimal solution for the image detection and segmentation. The prosthesis may – a few or numerous years after it was embedded – come needing fix or substitution. In a portion of these cases, the maker and the model of the prosthesis might be obscure to the patients and

The goal of Effective Web based E-Learning is to connection the space among the presentlygeneral technique to Web-based totally education, that is targeted on getting to know control systems (LMS) . The influential however underused technologies in smart teaching and adaptive hypermedia. Ontology ha

The twenty-first century has been witnessing much development in the technological aspect, particularly in optoelectronic device. In this continuation, we have prepared V2O5@WO3 nanocomposites for dielectric application. The proposed titled composites were prepared by a simple and cost-effective microwave-assisted wet chemical method. Subsequently, as-prepared composites were investigated by various characterization techniques. The structural and morphological analysis showed aggregated grain and rapid grain growth. The presence of functional group and elemental analysis were studied. The thermal analysis showed the thermal stability of as-prepared material. The dielectric studies demonstrated excellent dielectric behaviour with respect to temperature and frequency which would meet the required quality for optoelectronics application.

. In this technical international, Erudition comfort of E-Erudition . E-Erudition is prosperous a extensive in website results in treasured studying. It is stated the deliberate use of network material communication era coaching erudition . Web-primarily based E-Erudition gives teachers to elevate protection-associated understanding and competence. E-Erudition web sites indicates its wonderful evolution in instructive field and it need to please all of the pedagogical attributes. Pedagogy mentions to the precise use of informative techniques. The internet site that contents the Pedagogical attribute ought to measured groundbreaking E-Erudition website. The internet site has to be check in regards Erudition targets with the subject sorts as Knowledge, Attitude, and Skill, Meta-getting to know and Pedagogical strategies with the subject kinds as Drill, Presentation, Tutorials, Gaming, and Protest the usage of Pedagogical Attribute. Erudition objective and Pedagogical strategies of Pedagogical attribute are actual critical in the net doorway to offer the E-Erudition in extra powerful way. The fundamental goal of this rag is to make E-Erudition websites prosperous in studying. This paper has made a examine approximately the attribute of Pedagogical illustration and a case look at approximately how operative; the E-Erudition has been made with “Education” column of ‘W3school’ internet portal (online).

Nowadays, more research is directed towards the development of sustainable and eco-friendly technology for the bioethanol production using lignocellulosic biomass to address the global energy requirement. The present study was focused on evaluating the chemical composition and bioethanol production potential of four different lignocellulosic biomass viz., Typha angustifolia, Saccharum arundinaceum, Arundo donax, and Ipomoea carnea. The study exploits the application of ultrasound (US) assisted dilute acid pretreatment for delignification of lignocellulosic biomass. The compositional analysis of biomasses, before and after pretreatment, showed that lignin structure was degraded and more cellulose was exposed for enzymatic saccharification. During enzymatic hydrolysis, Saccharum arundinaceum yielded the highest value of 309.75 +/- 3.98 mg/g for total reducing sugar (TRS) among all the biomasses. Typha angustifolia yielded a higher percentage of ethanol of 81.91 +/- 8.17% when compared to other biomasses. After the pretreatment, the changes in the morphological features, functional groups, and cellulose crystallinity were examined using various characterization techniques. The variations in peak intensity of functional groups in FTIR and decrease in crystallinity index in XRD indicate that cellulose content was increased with a decrease in lignin content due to the synergistic effect of dilute acid and cavitational effect of US shock waves. Among the lignocellulosic biomass examined, Typha angustifolia resulted a maximum bioethanol production of 5.12 +/- 0.87% (w/v) during fermentation. The outputs of the present study showed that the four lignocellulosic perennial energy crops could be utilized as a potential feedstock for the production of bioethanol. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advances in Materials Research-2019.

The system focuses and produces the optimal solution. Such as the SGD Text approach gives the highest and optimal result such as 88.38% compare with other models. and Simple Linear Regression approach gives very lowest result compare with other models. SGD Text approach produces highest precision va

In the Internet of Things (IoT) vision, standard devices become adroit and self-administering. This vision is changing into a reality in view of advances in development, yet there are still challenges to address, especially in the security area e.g., information unwavering quality. Considering the anticipated development of the IoT in the coming years, it is important to give trust in this tremendous approaching data source. Blockchain has developed as a key innovation that will change the manner by which we share data. Building trust in passed on circumstances without the prerequisite for experts is a mechanical development that can change various endeavors, the IoT among them. Problematic headways, for example, enormous information and distributed computing have been utilized by IoT to beat its confinements since its origination, and we think Blockchain will be one of the following ones. This paper centers around this relationship, explores difficulties in Blockchain IoT applications, and outlines the most huge work in order to analyze how Blockchain could be utilized in real money coordination.

In this work, we have prepared WO3-CdS nanocomposites for supercapacitor electrode by Microwave-Assisted Method. The orthorhombic and monoclinic mixed structure of WO3 and hexagonal structure of CdS was observed by XRD pattern. The FESEM micrograph showed the irregular particle shape and HRTEM images demonstrated the small rod shape morphology with irregularity. The EDAX analysis confirmed the presence of W and Cd elements. From the electrochemical analysis, we have calculated the maximum capacitance as 650 F/g for WO3-CdS (6 wt%) electrode. The long cycle test showed 133% of capacitance retention with 100% Coulombic efficiency.

In this paper, pure (ZnO) and doped-zinc oxide (Mo- and Cr-ZnO) samples were prepared, characterized and investigated as sensing material with the main objective to develop a conductometric sensor platform that can detect hydrogen and ethanol, for application in fuel cell cars equipped with ethanol steam-reformer for on-board hydrogen production. ZnO-based nanomaterials were synthesized by a simple wet chemical method and characterized by X-ray diffraction, scanning electron microscopy, and transmission electron microscopy. ZnO sample was found to possess a well defined dumbbell-like morphology, while Mo- and Cr-ZnO samples showed non ordered structures at micrometric level. Sensing tests revealed that the sensor response to H-2 and ethanol is largely dependent on the temperature, nature and loading of dopant. ZnO-based sensor showed very good performance in terms of sensor response (R-0/R = 10-@2000 ppm of hydrogen), response and recovery time (5 and 7 s, respectively) at the operating temperature of 400 degrees C, which are promising characteristics for developing an hydrogen leak sensor. The ZnO sensor showed also good characteristics for detecting selectively ethanol when operating at lower temperature (250 degrees C). On the other hand, the detection of both gases can be also accomplished using two sensors, namely ZnO and Mo-ZnO, operating both at the same temperature of 250 degrees C. On the basis of the results reported, a single conductometric platform based on these sensors, can be proposed for detecting leak hydrogen as well as both ethanol fuel and hydrogen, for monitoring the steam reforming process efficiency in fuel cell cars.

Chromium doped ZnO nanostructures with various concentration has been prepared by microwave assisted wet chemical route. The synthesized nanostructures were investigated to know their structural and optical properties. The SEM examination of the prepared nano structures exposed that the pure ZnO exhibit the rod like surface morphology and Cr doped ZnO nanostructures disclosed the spherical shaped nano grains with the average crystallite size of about 11-20nm.The presence of Cr and ZnO compounds were confirmed by EDAX spectrum and it shows that the Cr content in the prepared nano structures were systematically increased by increasing the Cr concentration. UV – Vis analysis of the prepared samples was revealed that the band gap of ZnO nano scale structures have been varied with respect to the doping level of chromium. Photoluminescence (PL) studies of Cr doped ZnO nano structure describes the optical emission of ZnO nano rods interms of Cr concentration.

SnO2 is synthesized by microwave assisted technique. Crystal structure and particle size is studied by XRD. Particle size of synthesized sample is investigated by TEM, FE-SEM and Scherrer formula. Crystalline nature is observed by SAED. FE-SEM of sample is carried out for knowing surface morphology and particle size. Energy dispersive analysis by X-ray (EDAX) is done for studying elemental composition and their mass percentage in the sample. The thick film of SnO2 is fabricated by screen printing technique for exploring V-I characteristics and conductivity. The gas sensing response of SnO2 thick film sensor towards H2S, LPG, NH3 and CO2 is studied

A modified cascaded filter (MCF) for the restoration of color pictures that are extremely corrupted by salt and pepper noise and random valued impulse noise are projected in this article. MCF algorithm restores the noisy pixel by trimmed median value while other pixel values, 0's and 255's are present in the selected window using decision based median filter (DMF) and when the pixel values are 0's and 255's then the noise pixel is replaced by mean value of all the elements present in the selected window using unsymmetrical trimmed mean filtering. This modified cascaded filter proves better results than the standard median filter, DMF, and alpha trimmed median filter, UTMF. The MCF is analyzed against various color images and it provides superior peak signal-to-noise ratio and image enhancement factor.

The great challenge in front of the twenty-first century is steady and smooth green energy supply for automobiles, optoelectronics, and recently invented IoT devices. To overcome these challenges, different kinds of energy storage mechanisms were propounded. The fuel cells, electrochemical supercapacitors, and Li-ion batteries were investigated extensively for high energy and power density. Various nanostructures have been reported with several merits. But still, no metal oxide has attained the required characteristics. Among them, Tungsten trioxide (WO3) has fascinated the research people due to its excellent novel properties such as tunable optical band gap and interesting structures and morphology. Indeed, the electrochemical performance of hybrid nanocomposites of WO3 reveals the practical application of supercapacitor. In this chapter, we briefly introduced the general synthesizing methods and recent developments in WO3 based supercapacitor electrode materials have been discussed.

In this study, a new approach for glucose sensing emphasizing on cost-effectivity and simplicity while sensitivity of sensor remains high enough, is proposed. In this respect, we prepared CuO nanodisks having an ellipsoidal form without using any template or surfactants just by using microwave irradiation for 5min and used it to modify disposable commercial screen printed carbon electrodes(SPCE) without using any kind of binders like nafion. The synthesized CuO nanostructure has been thoroughly characterized using various complementary techniques (SEM, TEM, FT-IR, XRD) while the performance of proposed electrochemical sensor was investigated as for glucose sensing. Different effective parameters on performance of the electrochemical sensor, including KOH concentration, applied potential, repeatability, stability and selectivity, were investigated and discussed. The linear dynamic range, from 2.0μM to 2.5mM, with detection limit of 0.2μM (at signal to noise ratio of 3) and sensitivity of 627.3μAmM−1cm−2, are comparable or better than many of more sophisticated glucose sensors. Therefore, this simple and sensitive sensor can offer a cost-effective and high-performance glucose sensor with respect to previously reported copper oxide based glucose sensors. Capability of proposed sensor for measurement of glucose was evaluated in human urine sample.

The Molybdenum doped zinc oxide nanostructures (Mo-x = 1 wt%, 3 wt%, 5 wt% and 7 wt%) were synthesized by wet chemical synthesis method by using microwave irradiation for 15 minutes. The present work focuses on the effect of molybdenum doping on microstructural and magnetic properties of the ZnO nanomaterials. The prepared samples were investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and vibrational sample magnetic spectroscopy (VSM). The XRD pattern reveals that Mo is substituted in the ZnO lattice. The SEM micrograph of pure ZnO shows the presence of dumbbell-shaped nanostructures and it's having average length 4.75 mu m and diameter 2.65 mu m which is well matched with TEM results. The SEM and TEM micrographs of Mo-doped ZnO samples reveal that the presence of a spherical shaped particle with an average size of 29nm. The presence of Mo and ZnO compounds were confirmed by EDAX spectrum. The magnetic properties of prepared samples were carried out by VSM studies and Mo-doped ZnO nanostructures exhibit the ferromagnetic behaviour at room temperature.