The aim of the study – to identify the system of factors and criteria as well as indices of cryptoassets, to develop a model of
cryptoassets viability assessment on their basis. A qualimetric approach for developing a ...
Non-linear power-voltage characteristics of Solar cell and frequently changing output power due to variation in solar
irradiance caused by movement of clouds are the major issues need to be considered in photovoltaic ...
At present, the whole world is infected by COVID-19. It targets affecting the respiratory system and worsens for people
with other health complications like diabetes, cardiovascular diseases, cancer, lung disorder, and ...
Al-Nabhi, Hashem; Krishna, K.Lokesh; Shareef, d Ahmed Abdullah A.(2022-12-06)
Defective Characters exist frequently and broadly in images such as license plates, electricity, water meters, street boards, etc.
Thus, building robust recognition systems or enhancing the accuracy and robustness of the ...
Over the last fifteen years, ”Writing on walls” has been dramatically used by kreen (tow truck) owners to distribute their
contact information (phone numbers) in all cities around Iraq. This phenomenon has severely distorted ...
Near duplicate videos (NDVs) are the primary concern for cloud storage and web search. Similar video-sharing triggers
issues related to copyright and financial loss to the maker of the video. We propose a near-duplicate ...
The increasingly widespread use of the internet allows companies to gain insights regarding product development. Online
reviews can provide an overview of how customers need a product, and this can help companies to ...
Though biometric-based authentication systems have inherent advantages over conventional authentication systems, which
use passwords and ID cards, these systems cannot ensure the security and privacy of biometric data ...
Image classification is an essential and widely used area where deep learning is applied. The deep learning approach has
been extensively applied in the area of image classification and provides very good classification ...
Hossain, Mohammad Raquibul; Ismail, Mohd Tahir; Hossain, Md. Jamal(2022-12-06)
Data analytics especially predictive analytics is very important research domain which includes time series forecasting.
Nonlinear nonstationary time series are challenging to predict. This paper presents the outcome of ...
Dadhirao, Chandrika; Sangam, Ravi Sankar(2022-12-06)
The Wireless Sensor Networks is the collection of sensor nodes that can sense the environment and send it to the sink or access
point for further processing based on the requirement. It works on the principle of ”less ...
The world is full of digital data disseminated everywhere for creating, accessing, and storing information among the people’s
communication through media with network devices. The huge volume of data stored as a repository ...
Various types of security attacks are normal in vehicular communication networks. The current study uses a support vector
machine to implement a Point to Point Critical Path Monitoring (P2PCPM) based Denial of Service ...
The presence of fault(s) in any web services-based system threatens its performability and dependability at large. To ensure dependability in the presence of faults or failure, service-oriented systems are implemented on ...
Internet of Things (IoT) systems have gained huge popularity in the past decade. This technology is developing as a back boon from the day-to-day utility in smart homes to intelligent power grids. It has become ubiquitous ...
A great role played by the robots during the current pandemic. So far, they contributed a large effect on the medical sector. However, their valuable uses could be developed in many endeavors. Thus, this work involves the ...
Though the machine learning techniques were being used in Assamese Language Automatic Speech Recognition (ALASR) system over the last five years, but the applications of Convolutional Neural Network (CNN) are very limited ...
Abhulimen, V. Osekhonmen; Ogunti, O. Erastus(2022-10-31)
Age estimation has become very important for many organizations and human endeavour. Traditional machine learning methods have previously been deployed in previous times by many researchers to solve this problem automatically. ...
Ali, Saqib; Anwar, Waseem; Salem, Basim Juma; Al Dhuhlia, Mohammed(2022-10-31)
In recent years, blockchain technology has emerged and gained considerable attention due to its reliability and secure data sharing capabilities in various domains such as supply chain management, finance, the internet of ...
Deep learning techniques, particularly convolutional neural networks (CNNs), have led to an enormous breakthrough in the field of medical imaging. Since the onset of the COVID-19 pandemic, studies based on deep learning ...