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Full-Text Articles in Social and Behavioral Sciences
A Bibliometric Survey On The Use Of Long Short-Term Memory Networks For Multivariate Time Series Forecasting, Vidur Sood Mr., Manobhav Mehta Mr., Vedansh Mishra Mr., Akash Upadhyay Mr., Shilpa Hudnurkar, Shilpa Gite Dr., Neela Rayavarapu Dr.
A Bibliometric Survey On The Use Of Long Short-Term Memory Networks For Multivariate Time Series Forecasting, Vidur Sood Mr., Manobhav Mehta Mr., Vedansh Mishra Mr., Akash Upadhyay Mr., Shilpa Hudnurkar, Shilpa Gite Dr., Neela Rayavarapu Dr.
Library Philosophy and Practice (e-journal)
In this paper, we aim to review and analyze the publications related to the utilization of Long Short-Term Memory (LSTM) networks for multivariate time series forecasting. The purpose of this bibliometric survey was to study how technology in the field of LSTM has evolved over the years. There were 242 research papers published, by over 50 researchers, over 6 years, on the topic of “Multivariate time series forecasting using LSTM”. The majority of these papers were published between the years 2018 and 2020. The Scopus database was utilized for analyzing recent trends in this area and to determine the …
Bibliometric Survey On Flood Prediction Using Machine Learning, Seema Patil Prof., Daksh Khurana Mr., Kartik Rao Mr, Priyanshu Meena Mr, Shivendra Singh Mr
Bibliometric Survey On Flood Prediction Using Machine Learning, Seema Patil Prof., Daksh Khurana Mr., Kartik Rao Mr, Priyanshu Meena Mr, Shivendra Singh Mr
Library Philosophy and Practice (e-journal)
Floods are one of the most devastating natural hazards, and modelling them is extremely difficult. Flood prediction model advancement study led to factors such as loss of human and animal life, property damage, and risk mitigation. The focus of this bibliometric survey is to recognise the few studies which have upheld on the factors affecting the floods. The analysis is done based on 254 documents such as articles, conference papers, article reviews and some reviews and notes. India contributes to the maximum number of documents followed by China and the United States of America. This bibliometric survey is conducted using …
Quantitative Analysis Of Research On Artificial Intelligence In Retinopathy Of Prematurity, Ranjana Agrawal, Manasi Anup Agrawal, Sucheta Kulkarni, Ketan Kotecha, Rahee Walambe
Quantitative Analysis Of Research On Artificial Intelligence In Retinopathy Of Prematurity, Ranjana Agrawal, Manasi Anup Agrawal, Sucheta Kulkarni, Ketan Kotecha, Rahee Walambe
Library Philosophy and Practice (e-journal)
Retinopathy of Prematurity (ROP) is a disease of the eye and a potential source of blindness in low birth weight preterm infants. It is preventable if diagnosed and treated on time. Artificial Intelligence (AI) has played an important role in developing automated screening systems to assist medical experts. There are many traditional literature review articles available that focus on the scientific content of ROP-AI. The researchers also require a bibliometric analysis to become acquainted with the competing groups and new trends in this field. This paper gives a brief overview of ROP and AI systems for ROP screening with a …
Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite
Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite
Library Philosophy and Practice (e-journal)
Background: Zero Knowledge Proof is a persuasive cryptographic protocol employed to provide data security by keeping the user's identity, using the services anonymously. Zero Knowledge Proof can be the preferred option to use in multiple circumstances. Instead of using the public key cryptographic protocols, the zero-knowledge proof usage does not expose or leak confidential data or information during the transmission. Zero Knowledge Proof protocols are comparatively lightweight; this results in making it efficient in terms of memory. Zero Knowledge Proof applications can reside in authentication, identity management, cryptocurrency transactions, and many more. Traditional authentication schemes are vulnerable to attacks …
Bibliometric Survey On Effect Of Climate Factors On Spread Of Coronavirus (Covid-19), Seema Patil, Jay Makwana, Manish Attri
Bibliometric Survey On Effect Of Climate Factors On Spread Of Coronavirus (Covid-19), Seema Patil, Jay Makwana, Manish Attri
Library Philosophy and Practice (e-journal)
The new SARS-CoV-2 COVID-19 has spread quickly around the globe since it was first reported in Wuhan city of China, in December 2019 subsequent to being contracted from a zoonotic source. The main focus of this bibliometric survey is to recognize the few studies which have upheld the epidemiological hypothesis that the effect of climatic factors is playing a crucial role in the spreading of COVID-19. The analysis is done on the basis of 412 documents such as journals, articles, editorials, short surveys and some review papers. The United States contributes to the maximum number of publications followed by the …
Bibliometric Survey On Effects Of Climate Change On Incidences Of Infectious Diseases, Seema Harshad Patil, Yatharth Jain, Vedant Marathe
Bibliometric Survey On Effects Of Climate Change On Incidences Of Infectious Diseases, Seema Harshad Patil, Yatharth Jain, Vedant Marathe
Library Philosophy and Practice (e-journal)
For understanding the influx of Infectious Diseases, research of climate change and its effects pertaining to the diseases is important. The motive of this bibliometric survey is to understand the research which has been carried out regarding the aforementioned topics. This paper summarizes the research in the 21st Century from 2001 to present. We conducted this analysis using tools such as Gephi, Researchgate, Scopus, ScienceScape, Google Scholar and Mapchart. This Bibliometric Survey on “Effects of Climate Change on Infectious Diseases” showed that maximum publications are articles. These publications are from conferences and journals related to Environmental Science. The United States …
Bibliometric Survey On Biometric Iris Liveness Detection, Smita Khade, Dr.Swati Ahirrao, Dr. Sudeep Thepade
Bibliometric Survey On Biometric Iris Liveness Detection, Smita Khade, Dr.Swati Ahirrao, Dr. Sudeep Thepade
Library Philosophy and Practice (e-journal)
Authentication is an essential step for giving access to resources to authorized individuals and prevent leakage of confidential information. The traditional authentication systems like a pin, card, a password could not differentiate among the authorized users and fakers who have an illegal access to the system. Traditional authentication technique never alerts about the unwanted access to the system. The device that allows the automatic identification of an individual is known as a biometric system. It is not required to remember a password, card, and pin code in the Bio-metric system. Numerous biometric characteristics like the fingerprint, iris, palm print, face …
Bibliometric Study Of Bibliometric Papers About Clustering, Preeti Mulay, Rahul Raghvendra Joshi, Archana Chaudhari
Bibliometric Study Of Bibliometric Papers About Clustering, Preeti Mulay, Rahul Raghvendra Joshi, Archana Chaudhari
Library Philosophy and Practice (e-journal)
Bibliometric survey or bibliometric review papers generally analyses the work done previously by eminent personalities, authors, countries and various institutions which was published in giant databases like Scopus, Web of Science, Google Scholar, Research Gate and others. Bibliometric papers provide amalgamation of wide range of research papers from journals, conferences, reviews and other papers, which are working papers, papers with results, proposals and few of them are survey papers etc. Bibliometric papers are One-Stop-Solution for the readers and upcoming researchers to get acquainted entirely about the specific topic / domain. Bibliometric papers also help in smartly locating research-gaps for the …
A Bibliometric Survey On The Diagnosis Of Plant Leaf Diseases Using Artificial Intelligence, Rutuja Rajendra Patil, Sumit Kumar Dr
A Bibliometric Survey On The Diagnosis Of Plant Leaf Diseases Using Artificial Intelligence, Rutuja Rajendra Patil, Sumit Kumar Dr
Library Philosophy and Practice (e-journal)
Due to uncertain environmental conditions such as untimely rainfall, hailstorms, draught, fog the agriculture sector faces huge loss in crop yield. One of the biggest reason is plant leaf diseases. Therefore the need arises to diagnose the plant leaf diseases beforehand so that the diseases could be avoided and crop yield loss could be minimized. The paper represents the bibliometric study of plant leaf disease diagnosis using Artificial Intelligence. The study focuses on 472 scientific documents such as journals, articles, book chapters publicized in various journals. These documents are extracted from Scopus database after querying it with keywords related to …
Construction Labor Productivity Modeling And Use Of Neural Networks: A Bibliometric Survey, Shalaka Hire, Sayali Sandbhor
Construction Labor Productivity Modeling And Use Of Neural Networks: A Bibliometric Survey, Shalaka Hire, Sayali Sandbhor
Library Philosophy and Practice (e-journal)
Productivity of a project has a major impact on its cost and profitability. In spite of construction being labor intensive field with labor cost adding up to 30% to 50% of overall project cost, the productivity of labor is one of the least studied areas in the construction industry. It requires to be given due attention to the issues affecting labor productivity and design solution using soft computing techniques to improve the overall performance of the industry. This research paper aims to conduct a bibliographic survey of the literature available in the domain of Labor Productivity (LP) as well as …