Vishali Sivalenka | JNTU , hyderabad (original) (raw)

Uploads

Papers by Vishali Sivalenka

Research paper thumbnail of Conscience principles of ontology for computing perspective

AIP Conference Proceedings, 2022

Research paper thumbnail of Concurrences of deep learning arise in analysis of bigdata

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of Quantum computing: A contemporary computing technique with coalescence of science and engineering

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

In this busy world, there is an estimation of 3.5 exabytes of information data been generated in ... more In this busy world, there is an estimation of 3.5 exabytes of information data been generated in a single day and the data is shared on more than 10 million computing devices. As We, human beings are wholeheartedly dependent on the digital based computing devices for knowledge sharing by means of text and image information for each and every commotion of the day. Now, the sustenance of life without computing is considered as perplexed. As per a report submitted by association of semiconductor industries which states that by 2040, it is not possible to provide power to computer machine which is available in good running conditions present throughout the globe. It’s a known fact that the fundamental functionality of a computer system to modify and save the information data. Presently all the computer systems are using the classical technique to manipulate the data using single bits that stores the information data in form of 0’s and 1’s. [1To overcome the inability stated by semiconductor industry, the quantum physics has come up with a new concept which specifies that the quantum elements have the tendency to move in both directions i.e. fore and rear directions and its presence can be felt in both places at same time and travel itself instantly]1. This peculiar tendency of quantum particles had lead to quantum computing. The most critical property of quantum computing is its enhanced asset for characterization and construction of information data. A mechanism is developed to work on various operations for computation of information data. Qubits i.e quantum bits are used in Quantum computing, it consist of a third state excluding the traditional data states 0 and 1.Hence the time duration taken by quantum computing to modify the information data is much lesser than that of traditional computing. In this paper, we try to explore the concepts of quantum computing, how it is related to physics, how it can be used and implemented

Research paper thumbnail of Concurrences of deep learning arise in analysis of bigdata

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of An empirical study of various face recognition and face liveness detection techniques and algorithms

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of An empirical study of various face recognition and face liveness detection techniques and algorithms

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of Recognizing Stress Based On Social Interactions In Social Networks

Mental pressure is turning into a danger to individuals' wellbeing these days. Research has d... more Mental pressure is turning into a danger to individuals' wellbeing these days. Research has demonstrated that pressure diminishes personal satisfaction and causes numerous maladies. In this paper, we find that clients stress state is intently identified with that of his/her companions in web based life, and we utilize an enormous scale dataset from genuine social stages to efficiently study the relationship of clients' pressure states and social communications.Another purpose behind thinking about social collaborations in stress discovery depends on our experimental discoveries on a enormous scale dataset crept from Sina Weibo that the social structures of focused on clients are less associated and along these lines less convoluted than those of non-focused on clients. We found that the quantity of social structures of scanty association (for example with no delta associations) of focused on clients is around 14% higher than that of nonstressed clients, showing that the soci...

Research paper thumbnail of Exploiting Artificial Intelligence to Enhance Healthcare Sector

IOP Conference Series: Materials Science and Engineering, 2020

The resonance of the Artificial Intelligence (AI) makes it familiar in the lives of current gener... more The resonance of the Artificial Intelligence (AI) makes it familiar in the lives of current generation. Artificial Intelligence is concerned to build smart machines possessing capability to perform different tasks without any human interaction. So, these machines are considered as a replica of human intelligence. The predictions and processing of large amount of data performed by artificial intelligence can be faster and more accurate compared to human beings whereas humans take a lot of time to analyse the huge volume of data. As the technology is upgrading gradually in the present generation, artificial intelligence created its own significance in the market through its emerging technologies such as machine learning and deep learning. Many small and large sector enterprises have been started utilizing the artificial intelligence. It is existing in many forms such as SIRI, ALEXA etc. and also been implementing in many areas such as healthcare, education, business, finance, manufact...

Research paper thumbnail of An analysis on prediction of breast cancer using radius Nearest Neighbor algorithm over other classification algorithms

Breast cancer is the subsequent leading and high mortality rated disease among women worldwide in... more Breast cancer is the subsequent leading and high mortality rated disease among women worldwide in both developed and undeveloped countries. Breast cancer is categorized as benign and malignant with the symptoms of changes in size, skin textures of breasts, continuous pain in breasts, change of color into red etc. At the present time, machine learning algorithms are used for classifying breast cancer either malignant or benign. In this paper, we used Radius Nearest Neighbor classifier which is an extension of k-Nearest Neighbor algorithm to classify breast cancer and to calculate its accuracy, specificity and sensitivity. This algorithm performance metrics are compared with Decision Tree, k-Nearest Neighbor and Support Vector Machine algorithms and resulted that Radius Nearest Neighbor algorithm gives high performance metrics among all the compared algorithms with 98.8% accuracy, sensitivity 98.8% and specificity 97.9%.

Research paper thumbnail of Big Data in Heterogeneous Cyber Physical Systems: A Review

JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES

Research paper thumbnail of Key business drivers for IoT development and security principles

IOP Conference Series: Materials Science and Engineering

Research paper thumbnail of RECOGNIZING STRESS BASED ON SOCIAL INTERACTIONS IN SOCIAL NETWORKS

Mental pressure is compromising individuals' wellbeing. It is non-unimportant to recognize pressu... more Mental pressure is compromising individuals' wellbeing. It is non-unimportant to recognize pressure opportune for proactive consideration. With the prominence of online life, individuals are accustomed to sharing their every day exercises and communicating with companions via web-based networking media stages, making it plausible to use online interpersonal organization information for stress recognition. In this paper, we find that clients stress state is intently identified with that of his/her companions in web based life, and we utilize an enormous scale dataset from genuine social stages to efficiently study the relationship of clients' pressure states and social communications. We initially characterize a lot of pressure related printed, visual, and social properties from different perspectives, and after that propose a novel cross breed model -a factor chart model joined with Convolutional Neural System to use tweet substance and social connection data for stress discovery. Test results demonstrate that the proposed model can improve the discovery execution by 6-9% in F1-score. By further examining the social cooperation information, we likewise find a few interesting wonders, for example the quantity of social structures of meager associations (for example with no delta associations) of pushed clients is around 14% higher than that of non-focused on clients, demonstrating that the social structure of focused on clients' companions will in general be less associated and less entangled than that of non-focused on clients.

Research paper thumbnail of An Epic technic paper

Research paper thumbnail of Conscience principles of ontology for computing perspective

AIP Conference Proceedings, 2022

Research paper thumbnail of Concurrences of deep learning arise in analysis of bigdata

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of Quantum computing: A contemporary computing technique with coalescence of science and engineering

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

In this busy world, there is an estimation of 3.5 exabytes of information data been generated in ... more In this busy world, there is an estimation of 3.5 exabytes of information data been generated in a single day and the data is shared on more than 10 million computing devices. As We, human beings are wholeheartedly dependent on the digital based computing devices for knowledge sharing by means of text and image information for each and every commotion of the day. Now, the sustenance of life without computing is considered as perplexed. As per a report submitted by association of semiconductor industries which states that by 2040, it is not possible to provide power to computer machine which is available in good running conditions present throughout the globe. It’s a known fact that the fundamental functionality of a computer system to modify and save the information data. Presently all the computer systems are using the classical technique to manipulate the data using single bits that stores the information data in form of 0’s and 1’s. [1To overcome the inability stated by semiconductor industry, the quantum physics has come up with a new concept which specifies that the quantum elements have the tendency to move in both directions i.e. fore and rear directions and its presence can be felt in both places at same time and travel itself instantly]1. This peculiar tendency of quantum particles had lead to quantum computing. The most critical property of quantum computing is its enhanced asset for characterization and construction of information data. A mechanism is developed to work on various operations for computation of information data. Qubits i.e quantum bits are used in Quantum computing, it consist of a third state excluding the traditional data states 0 and 1.Hence the time duration taken by quantum computing to modify the information data is much lesser than that of traditional computing. In this paper, we try to explore the concepts of quantum computing, how it is related to physics, how it can be used and implemented

Research paper thumbnail of Concurrences of deep learning arise in analysis of bigdata

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of An empirical study of various face recognition and face liveness detection techniques and algorithms

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of An empirical study of various face recognition and face liveness detection techniques and algorithms

INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY

Research paper thumbnail of Recognizing Stress Based On Social Interactions In Social Networks

Mental pressure is turning into a danger to individuals' wellbeing these days. Research has d... more Mental pressure is turning into a danger to individuals' wellbeing these days. Research has demonstrated that pressure diminishes personal satisfaction and causes numerous maladies. In this paper, we find that clients stress state is intently identified with that of his/her companions in web based life, and we utilize an enormous scale dataset from genuine social stages to efficiently study the relationship of clients' pressure states and social communications.Another purpose behind thinking about social collaborations in stress discovery depends on our experimental discoveries on a enormous scale dataset crept from Sina Weibo that the social structures of focused on clients are less associated and along these lines less convoluted than those of non-focused on clients. We found that the quantity of social structures of scanty association (for example with no delta associations) of focused on clients is around 14% higher than that of nonstressed clients, showing that the soci...

Research paper thumbnail of Exploiting Artificial Intelligence to Enhance Healthcare Sector

IOP Conference Series: Materials Science and Engineering, 2020

The resonance of the Artificial Intelligence (AI) makes it familiar in the lives of current gener... more The resonance of the Artificial Intelligence (AI) makes it familiar in the lives of current generation. Artificial Intelligence is concerned to build smart machines possessing capability to perform different tasks without any human interaction. So, these machines are considered as a replica of human intelligence. The predictions and processing of large amount of data performed by artificial intelligence can be faster and more accurate compared to human beings whereas humans take a lot of time to analyse the huge volume of data. As the technology is upgrading gradually in the present generation, artificial intelligence created its own significance in the market through its emerging technologies such as machine learning and deep learning. Many small and large sector enterprises have been started utilizing the artificial intelligence. It is existing in many forms such as SIRI, ALEXA etc. and also been implementing in many areas such as healthcare, education, business, finance, manufact...

Research paper thumbnail of An analysis on prediction of breast cancer using radius Nearest Neighbor algorithm over other classification algorithms

Breast cancer is the subsequent leading and high mortality rated disease among women worldwide in... more Breast cancer is the subsequent leading and high mortality rated disease among women worldwide in both developed and undeveloped countries. Breast cancer is categorized as benign and malignant with the symptoms of changes in size, skin textures of breasts, continuous pain in breasts, change of color into red etc. At the present time, machine learning algorithms are used for classifying breast cancer either malignant or benign. In this paper, we used Radius Nearest Neighbor classifier which is an extension of k-Nearest Neighbor algorithm to classify breast cancer and to calculate its accuracy, specificity and sensitivity. This algorithm performance metrics are compared with Decision Tree, k-Nearest Neighbor and Support Vector Machine algorithms and resulted that Radius Nearest Neighbor algorithm gives high performance metrics among all the compared algorithms with 98.8% accuracy, sensitivity 98.8% and specificity 97.9%.

Research paper thumbnail of Big Data in Heterogeneous Cyber Physical Systems: A Review

JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES

Research paper thumbnail of Key business drivers for IoT development and security principles

IOP Conference Series: Materials Science and Engineering

Research paper thumbnail of RECOGNIZING STRESS BASED ON SOCIAL INTERACTIONS IN SOCIAL NETWORKS

Mental pressure is compromising individuals' wellbeing. It is non-unimportant to recognize pressu... more Mental pressure is compromising individuals' wellbeing. It is non-unimportant to recognize pressure opportune for proactive consideration. With the prominence of online life, individuals are accustomed to sharing their every day exercises and communicating with companions via web-based networking media stages, making it plausible to use online interpersonal organization information for stress recognition. In this paper, we find that clients stress state is intently identified with that of his/her companions in web based life, and we utilize an enormous scale dataset from genuine social stages to efficiently study the relationship of clients' pressure states and social communications. We initially characterize a lot of pressure related printed, visual, and social properties from different perspectives, and after that propose a novel cross breed model -a factor chart model joined with Convolutional Neural System to use tweet substance and social connection data for stress discovery. Test results demonstrate that the proposed model can improve the discovery execution by 6-9% in F1-score. By further examining the social cooperation information, we likewise find a few interesting wonders, for example the quantity of social structures of meager associations (for example with no delta associations) of pushed clients is around 14% higher than that of non-focused on clients, demonstrating that the social structure of focused on clients' companions will in general be less associated and less entangled than that of non-focused on clients.

Research paper thumbnail of An Epic technic paper