Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Library Philosophy and Practice (e-journal)

Engineering

Artificial Intelligence

Publication Year

Articles 1 - 10 of 10

Full-Text Articles in Social and Behavioral Sciences

Bibliometric Review Of Predictive Maintenance Using Vibration Analysis, Aashna Midha Ms., Ishita Maheshwari Ms., Kaushik Ojha Mr., Kritika Gupta Ms., Shripad V. Deshpande Mr. May 2021

Bibliometric Review Of Predictive Maintenance Using Vibration Analysis, Aashna Midha Ms., Ishita Maheshwari Ms., Kaushik Ojha Mr., Kritika Gupta Ms., Shripad V. Deshpande Mr.

Library Philosophy and Practice (e-journal)

Every day the world is depending more and more on machines in almost every aspect of life. With the increasing use of machines, there also needs to be an evolution in the maintenance of these machines. Predictive maintenance is a process used to monitor the equipment and machinery during its operation to detect any damages and/or deteriorations and enable the required maintenance plan in advance, resulting in reduced operational costs and full utilization of tools and parts. The fundamental goal of this bibliometric review paper is a comprehension of the extent and sources of the literature available for predictive maintenance …


Bibliometric Study On Analysing Impact Of Newly Launched Products Over Existing Ones Through Ai, Dipak Sharma, Vageesh Devrath, Abhinav Rajput, Gouranga Jyoti Kataky, Priyanka Tupe-Waghmare, Ismail Akbani May 2021

Bibliometric Study On Analysing Impact Of Newly Launched Products Over Existing Ones Through Ai, Dipak Sharma, Vageesh Devrath, Abhinav Rajput, Gouranga Jyoti Kataky, Priyanka Tupe-Waghmare, Ismail Akbani

Library Philosophy and Practice (e-journal)

Different analysis models like Conditional Mean Analysis, Trend Analysis, Correlation Analysis helps us to analyse the delicate equilibrium between businesses that gets impacted when a new product is launched in a cluster. This paper shows a statistical report of research done on the businesses in a cluster based on ongoing trends and current customer needs . There is surplus data present on various platforms related to every product following the ongoing trends in the form of customer reviews.The research mainly speculates mainly how the businesses get impacted with change in consumer needs, wants and demands. With the help of datasets …


A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Using Convolutional Neural Network, Sumit Kumar, Rutuja Rajendra Patil, Vasu Kumawat, Yashovardhan Rai, Navaneeth Krishnan, Shubham Kumar Singh May 2021

A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Using Convolutional Neural Network, Sumit Kumar, Rutuja Rajendra Patil, Vasu Kumawat, Yashovardhan Rai, Navaneeth Krishnan, Shubham Kumar Singh

Library Philosophy and Practice (e-journal)

In 2021 and the modern future which everyone is going to be a part of, Artificial intelligence is going to be the biggest part of our livelihood. In the future there is going to be a huge expansion of population especially at the rate right now which we are moving but the biggest problem which everyone should be concerned about is the food supply as many of the nations would not be able to feed and make survive their population as even now, there is scarcity of it. Currently in the world the people revolving around the artificial intelligence are …


Prediction Of Stocks And Stock Price Using Artificial Intelligence : A Bibliometric Study Using Scopus Database, Priyanka Tupe-Waghmare, Priyanka Tupe-Waghmare May 2021

Prediction Of Stocks And Stock Price Using Artificial Intelligence : A Bibliometric Study Using Scopus Database, Priyanka Tupe-Waghmare, Priyanka Tupe-Waghmare

Library Philosophy and Practice (e-journal)

Prediction of stocks and the prices of the stock is one of the most crucial points of discussion amongst the researchers and analysts in the financial domain to date. Every stakeholder and most importantly the investor desires to earn higher profit for his investment in the market and try to use several different strategies to invest their money. There are numerous methods to predict and analyse the movement of the stock prices. They are broadly divided into – statistical and artificial intelligence-based methods. Artificial intelligence is used to predict the futuristic prices of stocks and use wide range of algorithms …


Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil Jan 2021

Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil

Library Philosophy and Practice (e-journal)

The remaining useful life (RUL) estimations become one of the most essential aspects of predictive maintenance (PdM) in the era of industry 4.0. Predictive maintenance aims to minimize the downtime of machines or process, decreases maintenance costs, and increases the productivity of industries. The primary objective of this bibliometric paper is to understand the scope of literature available related to RUL prediction. Scopus database is used to perform the analysis of 1673 extracted scientific literature from the year 1985 to 2020. Based on available published documents, analysis is done on the year-wise publication data, document types, language-wise distribution of documents, …


A Bibliometric Survey Of Fashion Analysis Using Artificial Intelligence, Seema Wazarkar, Shruti Patil, Satish Kumar Nov 2020

A Bibliometric Survey Of Fashion Analysis Using Artificial Intelligence, Seema Wazarkar, Shruti Patil, Satish Kumar

Library Philosophy and Practice (e-journal)

In the 21st century, clothing fashion has become an inevitable part of every individual human as it is considered a way to express their personality to the outside world. Currently the traditional fashion business models are experiencing a paradigm shift from being an experience-based business strategy implementation to a data driven intelligent business improvisation. Artificial Intelligence is acting as a catalyst to achieve the infusion of data intelligence into the fashion industry which aims at fostering all the business brackets such as supply chain management, trend analysis, fashion recommendation, sales forecasting, digitized shopping experience etc. The field of “Fashion …


Bibliometric Survey On Supply Chain In Healthcare Using Artificial Intelligence, Shruti Maheshwari, Gagandeep Kaur, Ketan Kotecha, Pramod Kumar Jain Dr. Nov 2020

Bibliometric Survey On Supply Chain In Healthcare Using Artificial Intelligence, Shruti Maheshwari, Gagandeep Kaur, Ketan Kotecha, Pramod Kumar Jain Dr.

Library Philosophy and Practice (e-journal)

With the increasing demand for the supply chain in the service sector, new techniques have become essential. With the latest emerging technologies, it has become crucial to have a bibliometric analysis of supply chain management (SCM) in the healthcare sector. The paper represents the analysis of research supply chain in the service sector using artificial intelligence techniques. The main aim of the analysis is to accomplish the technology in healthcare supply chain management using SCOPUS, Google Scholar, Research Gate, etc. and the various softwares like Gephi, GSP Visualizer, etc. The bibliometric analysis shows that India has ranked 4th in publishing …


A Bibliometric Survey On The Diagnosis Of Plant Leaf Diseases Using Artificial Intelligence, Rutuja Rajendra Patil, Sumit Kumar Dr Feb 2020

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 …


Implementation Of Uhf-Rfid Technology In An Academic Library Of Pakistan; A Case Study, Attya Shahid Ms, Naveed Sehar Jan 2020

Implementation Of Uhf-Rfid Technology In An Academic Library Of Pakistan; A Case Study, Attya Shahid Ms, Naveed Sehar

Library Philosophy and Practice (e-journal)

There are numerous libraries in Pakistan that cannot afford RFID technology because of the limited budget and resources and confronted book theft, low security, and delay services. This paper base an experiment that how libraries can adopt this technology effectively and productively with a lower budget and higher outcomes. The FAST-National University of Computer and Emerging Sciences Library Karachi campuses is the principal library in Pakistan which has adopted UHF-RFID technology with the integration of ILS insignia; SIP II compliance that jointly works with library integrated system and numerous activities can be made through this. An exploratory study conducted in …


Bibliometric Analysis Of Bearing Fault Detection Using Artificial Intelligence, Pooja Kamat, Rekha Sugandhi Dr. Jan 2020

Bibliometric Analysis Of Bearing Fault Detection Using Artificial Intelligence, Pooja Kamat, Rekha Sugandhi Dr.

Library Philosophy and Practice (e-journal)

The new industrial revolution called Industry 4.0 is proliferating at its peak. The time is no longer away when the human race is going to witness a huge paradigm shift. Intelligent machines empowered by Artificial Intelligence (AI)will take over the presence of human workers in the industrial manufacturing sector with the target of achieving 100% automation. With the emergence of cut-throat price competition in the product market, it has become equally important to manufacture goods at minimal costs and with the highest quality. Predicting the decrease in machinery efficiency at an earlier stage to accomplish this objective helps to reduce …