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Full-Text Articles in Library and Information Science
A Bibliometric Survey Of Fashion Analysis Using Artificial Intelligence, Seema Wazarkar, Shruti Patil, Satish Kumar
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.
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
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
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.
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 …