Volume 10 | Issue 5 |

 Abstract

E-commerce websites are becoming extremely prevalent, with a significant volume of individuals embracing this medium. This seems to be due to the enhanced accessibility and simplicity of use that these networks provide when it start shopping for necessities as well as other things from the convenience of your own home. This has enabled many handicapped people and others with accessibility concerns to successfully remain at home and purchase different products that they require. This has resulted in a plethora of e-commerce companies fighting for consumers' focus and attempting to grow their customer base in order to deliver accurate alternatives with simplicity. The integration of speech and gesture-based searching for items on e-commerce platforms is one example of something like this. The paradigm of utilizing Convolution Neural Network for the recognition of the gestures is one of the most difficult approaches that require extensive computations along with the region of interest estimation. The obtained results are indicate better performance of the system through the use of Root mean square Error evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional Neural Network, Voice recognition and Gesture Recognition.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This semi classical style of singing is referred to as Tappa by the Hindi speaking region, pronounced as Toppa in Bengal and Tappe in Punjabi language. The word Tappa derived from the Punjabi word Tappana meaning bouncing, swinging, jumping and hopping etc. There is no dispute regarding its meaning because people are well acquainted with its leaping, hopping, bouncing and swinging or moving up and down style. In Punjab, songs sung by people while driving their camels or pulling them with jerks on uneven roads are called Tappe. There is sufficient reason to believe that Shori Miyan only improvised zamzama taans in Tappas after borrowing the same from the people carrying goods and chattels on their camels back. When the camel moves, the rider on its back is bound to face jerks and suppleness in his journey and while singing automatically these jerks and unsmooth pushes were naturally evident in their songs which formed an integral part of a Tappa as one of its main characteristics

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, SHA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Since last two years we are fighting with covid 19 pandemic. use of face mask became key equipment to protect people against the covid 19 pandemic. To overcome this problem we are going to use this surgical face mask for making a pavement blocks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

construction Block using used surgical face mask

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For the noise removal problem of noisy seismic data, an improved noise reduction technique based on feedforward denoising neural network (DnCNN) is proposed. The previous DnCNN, which was designed to minimise noise in seismic data, had an issue with a large network depth, which hampered training efficiency. The revised DnCNN technique was previously introduced for noise reduction in natural data sets, and after modifying the essential parameters, this study extends the algorithm to noise reduction in seismic data. The DUDnCNN algorithm can reduce noise with high efficiency, according to the analysis and comparison of the experimental findings, and the method has certain feasibility and significance for further seismic data noise reduction research.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Noise removal, deep learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper presents a methodology for social distancing detection using deep learning to evaluate the distance between people to mitigate the impact of this coronavirus pandemic. The detection tool was developed to alert people to maintain a safe distance with each other by evaluating a video feed. The video frame from the camera was used as input, and the open-source object detection pre-trained model based on the YOLOv3 algorithm was employed for pedestrian detection. Later, the video frame was transformed into a top-down view for distance measurement from the 2D plane. The distance between people can be estimated and any noncompliant pair of people in the display will be indicated with a red frame and red line. The proposed method was validated on a pre-recorded video of pedestrians walking on the street. In addition to the social distancing face mask detector also integrated. The face mask detector model is constructed using CNN and the accuracy of the face mask detector is 90%. The result shows that the proposed method is able to determine the social distancing measures between multiple people in the video. The developed technique can be further developed as a detection tool in real time application.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Python,OpenCV,YOLOv5, CNN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Short Message Service (SMS) has become one of the most important ways of communication in today's world, where digitization is ubiquitous. SMS does not require active participation, unlike other chatting-based messaging systems such as Facebook, WhatsApp and others. As we all know, hackers and spammers try to break into mobile computing devices, and SMS support for mobile devices has become vulnerable, as attackers try to break into the system by sending unwanted links into , the attacker can gain remote control of the mobile computing device by clicking those links. So, in order to identify those communications, this work created a system that will detect malicious messages and determine whether they are SPAM or HAM (malicious or not malicious) using deep learning VGG16 algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Short Message Service, Spam, Machine Learning, Deep Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper we outline the inherent strengths of biometrics-based authentication system, to identify the weak links in systems employing biometrics-based authentication also automated biometrics can provide the security advantages of long passwords while retaining the speed and characteristic simplicity of short passwords. Although, for illustration purposes, fingerprint authentication is used throughout, our analysis extends to other biometrics-based methods.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biometrics, password, accuracy, fingerprints

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Time Donation, Donation Recurrence, Web application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays, the margin of error for football is low, therefore the ultimate aim of the game is to win the match. The performance of the players in the match affects the results of the game. Due to this, it is very important to evaluate the player and know his weaknesses. Manual evaluation tends to generate many errors and take more time. In current research, a statistical model is proposed to predict the stats of the football player based on previous session data by considering various aspects of the game. Through literature reviews, it is observed that machine learning and deep learning algorithms can be used to predict the performance of football players. But which model would be more efficient considering the positions of the player is not considered in any article. The proposed model is designed a separate model as per the position of the player during the game. This can help to predict the player's performance as per their playing position. The current study has successfully implemented various machine learning and deep learning models and provided all comparative analysis of the same. Each position has considered different variables associated with that position. The performance of these models is compared for further clarification.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DEEP LEARNING, PLAYER PREDICTION

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Creative Commons Attribution 4.0 and The Open Definition