2 10 3575 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mohd Zaid, Norasykin Yaacob, Fatimah Sarah A Shukor, Nurbiha Mohd Said, Mohd Nihra Haruzuan Musta'amal, Aede Hatib Rahmatina, Desi Date A point or period of time associated with an event in the lifecycle of the resource 2018-12-24 Description An account of the resource Higher Order Thinking skills (HOTs) are important thinking skills for lifelong learners, active social responsibility and proactive employees in the 21st century. The rapid development of technology in education has made learning anywhere and anytime possible. This study was conducted to investigate the effect of the integration of peer instruction in online social network could on students ability to answer HOTs questions. Peer instruction is one of the learning techniques that promote HOTs in a cooperative learning setting. It promotes students’ participation in class and increasestheir learning engagement. This study applied repeated measures one group pre-post test design which was carried out among 20 students (purposive sampling technique) in higher education institution. It was carried out in 3 different sessions. Students have to answer HOTs questions in the form of multiple choices using an online quiz system, while peer instruction activities were carried out using and online social network app. Findings show that there is significant effect of peer instruction activities on students quiz scores and no significant difference of students peer instruction activities among the 3 learning sessions. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/9672 10.3991/ijim.v12i8.9672 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/9672/5362 Rights Information about rights held in and over the resource Copyright (c) 2018 Nurbiha A Shukor, Norasykin Mohd Zaid, Norasykin Mohd Zaid, Fatimah Sarah Yaacob, Fatimah Sarah Yaacob, Mohd Nihra Haruzuan Mohd Said, Mohd Nihra Haruzuan Mohd Said, Aede Hatib Musta'amal, Aede Hatib Musta'amal, Desi Rahmatina, Desi Rahmatina Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 8 (2018); pp. 30-40 1865-7923 Subject The topic of the resource Peer instruction Higher order thinking skills Online Social Learning Title A name given to the resource Integration of Peer Instruction in Online Social Network to Enhance Higher Order Thinking Skills Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The University of Queensland Law Journal Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource A Young, Margaret Date A point or period of time associated with an event in the lifecycle of the resource 2021-11-10 Description An account of the resource Climate change is a global problem. This characterisation has major consequences for international law, domestic law and legal education. Drawing on legal developments, scholarship and pedagogy, this article has three main claims. First, it argues that lawyers dealing with climate change require proficiency across different areas of law, not just the law that seeks to limit greenhouse gas emissions. Secondly, to better understand how these areas of law fit together, and how they should fit together, the article points to relevant theories, including ideas relating to fragmentation and regime interaction within international law. Thirdly, the article examines ways in which legal education can encourage ethical and moral evaluations as well as strategic awareness, especially to ensure that legal action to address climate change does not perpetuate inequalities and injustice within the community of states. Legal education and law have important roles in mitigating climate change and in fostering a sensibility that recognises the unequal burdens between and within countries. In training the arbiters of global destiny, today’s law schools must continue to critique the law’s relationship with modern production and consumption patterns.  Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://journal.law.uq.edu.au/index.php/uqlj/article/view/6045 10.38127/uqlj.v40i3.6045 Language A language of the resource eng Publisher An entity responsible for making the resource available The University of Queensland School of Law Relation A related resource https://journal.law.uq.edu.au/index.php/uqlj/article/view/6045/5027 Rights Information about rights held in and over the resource Copyright (c) 2021 The University of Queensland Law Journal Source A related resource from which the described resource is derived The University of Queensland Law Journal; Vol. 40 No. 3 (2021): The University of Queensland Law Journal; 351-370 1839-289X 0083-4041 Title A name given to the resource Climate Change and Law: A Global Challenge for Legal Education Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Zaqaibeh, Belal Mohammad Albalas, Firas Ali A, Awajan W Date A point or period of time associated with an event in the lifecycle of the resource 2012-04-11 Description An account of the resource In this paper a new assertion constraint model is proposed and implemented. The model is designed to enforce and maintain the integrity constraints in mobile database and object data model environments. It has an object assertion model for integrity constraints which it is used to create classes and collect attributes and their constraints that are derived from multiple composition or inheritance hierarchies. Also it has a compile-time model which keeps the derivation path along with the attributesâ?? relationships. Furthermore, the run-time model enforces integrity constraints, enforcing the logical integrity constraints during the run-time. And a new technique is designed to check the object metadata to detect the object violation before it occurs. However, the model is implemented and tested over set of definitions that check attribute values validity and objects for object-oriented and mobile databases. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/1836 10.3991/ijim.v6i2.1836 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/1836/2180 Rights Information about rights held in and over the resource Copyright (c) 2017 Belal Mohammad Zaqaibeh, Firas Ali Albalas, Awajan W A Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 6 No. 2 (2012); pp. 39-46 1865-7923 Subject The topic of the resource Constraints violation Mobile database Mobile database model Object data model Title A name given to the resource Designing a New Assertion Constraints Model for Mobile Databases Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artha Journal of Social Sciences Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource A, Malarkodi Date A point or period of time associated with an event in the lifecycle of the resource 2021-09-21 Description An account of the resource Self Help Groups (SHGs) of women in India have been recognized as an effective strategy for the empowerment of women in rural as well as urban areas. The study is quasi-experimental in nature, as it attempts to examine the impact of psychosocial intervention on the women self¬-help group. The Self-Esteem Inventory and the Rathus Assertiveness Scale was given to the group and pre-intervention and the post-intervention scores were obtained. Intervention consisted of teaching skills for assertiveness and self-esteem. The data collected during the pre-test and post-test were analysed using paired't' test. There was a significant difference in the self-esteem and assertiveness of the self-help group women after the psychosocial training. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://journals.christuniversity.in/index.php/artha/article/view/864 10.12724/ajss.10.10 Language A language of the resource eng Publisher An entity responsible for making the resource available Centre for Publications, CHRIST (Deemed to be University), Bangalore Relation A related resource https://journals.christuniversity.in/index.php/artha/article/view/864/811 Rights Information about rights held in and over the resource Copyright (c) 2017 Artha - Journal of Social Sciences http://creativecommons.org/licenses/by-nc/4.0 Source A related resource from which the described resource is derived Artha Journal of Social Sciences; Vol. 6 No. 1 (2007): Artha Journal of Social Sciences; 93 - 98 0000-0000 0975-329X Title A name given to the resource "Effect of Psychosocial Intervention on Women ""Self-Help Group"" " Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Benita K, Ruby Kumar S, Ganesh B, Murugamantham A, Murugan Date A point or period of time associated with an event in the lifecycle of the resource 2020-10-13 Description An account of the resource Tracking drugs became more difficult using the centralized architecture. Decentralized architecture using blockchain technology overcomes the difficulties faced by the centralized network like availability and recovery. Avoiding duplicate or fake drugs created by fake manufacturers is a big challenge in the centralized network. Authentic stock is managed and the supply chain is tracked efficiently using this blockchain technology. This is addressed by using the smart contract which helps to track the movement of drugs from manufacturer to supplier, supplier to the reseller, reseller to pharmacies and finally pharmacies to patient. By default, duplicate drugs or fake drugs are completely avoided by using the blockchain technology. Patients buy drugs without any prescription and it creates a lot of problems in real life. So, Patients cannot buy drugs without authenticated doctor’s prescriptions with the help of a QR Code scanner attached with the prescription which will be implemented using a mobile application and cannot buy excess drugs which might lose someone’s life. With the help of inventory management, the maximum limit of drugs to avoid overdose and pharmacies cannot sell those overdose drugs. Consulting a doctor before buying a drug for even a simple illness is important and it is tracked by using prescriptions provided by authentic doctors. In this project, these challenges are addressed using the smart contract which is written in solidity language and runs on a public ethereum network. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/16561 10.3991/ijim.v14i17.16561 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/16561/7999 Rights Information about rights held in and over the resource Copyright (c) 2020 Ruby Benita K, Ganesh Kumar S, Murugamantham B, Murugan A Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 20-32 1865-7923 Subject The topic of the resource Blockchain transactions decentralized architecture fake drugs smart contract ethereum. Title A name given to the resource Authentic Drug Usage and Tracking with Blockchain Using Mobile Apps Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource P, Rajesh A, Murugan B, Murugamantham S, Ganesh Kumar Date A point or period of time associated with an event in the lifecycle of the resource 2020-10-13 Description An account of the resource Cancer has become very common in this evolving world. Technology advancements, increased radiations have made cancer a common syndrome. Various types of cancers like Skin Cancer, Breast Cancer, Prostate Cancer, Blood Cancer, Colorectal cancer, Kidney Cancer and Lung Cancer exits. Among these various types of cancers, the mortality rate is high in lung cancer which is tough to diagnose and can be diagnosed only in advanced stages. Small cell lung cancer and non-small cell lung cancer are the two types in which non-small cell lung cancer (NSCLC) is the most common type which makes up to 80 to 85 percent of all cases [1]. Digital Image Processing and Artificial Intelligence advancements has helped a lot in medical image analysis and Computer Aided Diagnosis(CAD). Numerous research is carried out in this field to improve the detection and prediction of the cancerous tissues. In current methods, traditional image processing techniques is applied for image processing, noise removal and feature extraction. There are few good approaches that applies Artificial Intelligence and produce better results. However, no research has achieved 100% accuracy in nodule detection, early detection of cancerous nodules nor faster processing methods. Application of Artificial Intelligence techniques like Machine Learning, Deep Learning is very minimal and limited. In this paper [Figure 1], we have applied Artificial intelligence techniques to process CT (Computed Tomography) Scan image for data collection and data model training. The DICOM image data is saved as numpy file with all medical information extracted from the files for training. With the trained data we apply deep learning for noise removal and feature extraction. We can process huge volume of medical images for data collection, image processing, detection and prediction of nodules. The patient is made well aware of the disease and enabled with their health tracking using various mobile applications made available in the online stores for iOS and Android mobile devices. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/16607 10.3991/ijim.v14i17.16607 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/16607/8021 Rights Information about rights held in and over the resource Copyright (c) 2020 Rajesh P, Murugan A, Murugamantham B, Ganesh Kumar S Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 189-203 1865-7923 Subject The topic of the resource Lung Cancer CAD Artificial intelligence K-means CNN and CT scan. Title A name given to the resource Lung Cancer Diagnosis and Treatment Using AI and Mobile Applications Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artha Journal of Social Sciences Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource A, Raheena P Neena, Sara T T Date A point or period of time associated with an event in the lifecycle of the resource 2017-04-01 Description An account of the resource Political Participation and grass root democracy have been strengthened considerably by the 73rd and 74th Constitutional Amendments that have created new democratic institutions for local governance by giving the opportunity to women in the local administration. Indian Government raised reservation for women in all tiers of the panchayat raj system from 33 to 50 percent. An elected women representative needs the requisite social space in order to effect and experience the changes that she desires. The involvement of women in the development process is not merely a matter of equality but a necessity too. This study attempted to assess the involvement of women representatives to the development of weaker sections of society, especially women and children. This study was conducted in village panchayats under Cherpu and Ollukkara blocks in Thrissur district. Simple random sampling technique was adopted for selecting the sample of fifty elected women representatives and data collected through structured Questionnaire Method. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://journals.christuniversity.in/index.php/artha/article/view/1563 10.12724/ajss.41.2 Language A language of the resource eng Publisher An entity responsible for making the resource available Centre for Publications, CHRIST (Deemed to be University), Bangalore Relation A related resource https://journals.christuniversity.in/index.php/artha/article/view/1563/1308 Source A related resource from which the described resource is derived Artha Journal of Social Sciences; Vol. 16 No. 2 (2017): Artha Journal of Social Sciences; 23-38 0000-0000 0975-329X Title A name given to the resource Participation of Women for the Development of Civil Society: A Study among Women Representatives in Local Governance Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rao, Santhosha A, Smitha Kulkarni, Kunal Date A point or period of time associated with an event in the lifecycle of the resource 2018-10-29 Description An account of the resource In recent years, the proliferation of the Internet of Things (IoT) has kick started the home and office automation in a very rapid manner. The paper demonstrates a cost effective implementation of an IoT system for managing the visitors in an office environment. The automation system comprises low cost NodeMCU based Wireless Transmitter, NodeMCU based Wireless Display Unit and an android mobile phone. The mobile phone also serves as wireless Access Point to which the Wireless Transmitter and the Wireless Display Units are wirelessly connected for exchanging the messages using UDP protocol. The Wireless Transmitter and the Wireless Display Units are kept in the visitor’s waiting area. The consulting person possesses an android mobile phone in which the automation software is installed. The visitor enters a message using the Wireless Transmitter and notes down the acknowledgement token number sent by the automation software. When the consulting person checks this message, the same token number is sent to the Wireless Display Unit signaling the visitor to consult the person. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/9476 10.3991/ijim.v12i6.9476 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/9476/5253 Rights Information about rights held in and over the resource Copyright (c) 2018 Santhosha Rao, Smitha A, Kunal Kulkarni Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 6 (2018); pp. 112-123 1865-7923 Subject The topic of the resource Internet of Things (IoT) NodeMCU Office automation Title A name given to the resource Smart Phone based Cost Effective Visitor Management System for Smart Offices Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alnusyan, Ruba Almotairi , Ruba Almufadhi, Sarah A. Al-Shargabi, Amal F. Alshobaili, Jowharah Date A point or period of time associated with an event in the lifecycle of the resource 2022-04-26 Description An account of the resource Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, to make a decision. This study attempts to bridge this gap and proposes a hybrid approach of topic modeling that combines supervised and unsupervised learning. In particular, the study collected a massive amount of Amazon user reviews, analyzed the reviews' texts, and combined two approaches of topic modeling, which are unsupervised and supervised learning, i.e., semi-supervised learning. Besides, the study makes classification on reviews based on sentiment analysis. The resulting reviews' topics and their sentiment classifications are displayed on a visual dashboard. The proposed hybrid approach showed better performance in terms of text analysis and clearer representation of review topics. The outcome of this study helps customers make their decision on purchase products in a more effortless and clearer way. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30169 10.3991/ijim.v16i08.30169 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30169/11169 Rights Information about rights held in and over the resource Copyright (c) 2022 Ruba Alnusyan https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 79-93 1865-7923 Subject The topic of the resource user reviews sentiment analysis topic modeling visualisation Title A name given to the resource Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alrikabi, Haider Th.Salim A. Aljazaery, Ibtisam Qateef, Jaafar Sadiq Alaidi, Abdul Hadi M. Al_airaji, Roa'a M. Date A point or period of time associated with an event in the lifecycle of the resource 2022-04-26 Description An account of the resource The past few years have witnessed a huge increase in the application of facial recognition, detection, and analysis technology. However, face recognition systems remain the most popular among the general public. The facial recognition system can detect the presence of a face when exposed to one. The accuracy and fairness that can be derived from such systems necessitate their use, because humans, particularly security personnel can be tired and target the wrong person as a suspect. However, artificial intelligence systems that are properly trained are capable of efficiently identifying and classifying faces without errors. In this work, the use of Matlab language was employed in building a software system that is capable of recognizing and differentiating different face patterns. The proposed system is equipped with a camera that serves as the practical aspect of the software that captures different shots that are sent to the theoretical part of a special program that is designed to recognize faces by comparing them with a database stored within the program. The practical part of the work involved the use of Quantum Neural Network. In this work, the training dataset is made up of features vectors that were obtained from a well-known set of face images of different people. Here, Principle Component Analysis (PCA) was used for the extraction of feature vectors from images and then prepared for the next training step. The experimental results revealed that efficient face recognition can be achieved through the use of well-trained Quantum Network. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30107 10.3991/ijim.v16i08.30107 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30107/11163 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi, Ibtisam A. Aljazaery, Jaafar Sadiq Qateef, Abdul Hadi M. Alaidi, Roa'a M. Al_airaji https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 34-48 1865-7923 Subject The topic of the resource Artificial Intelligence, Facial Recognition, Feature Extraction, QNN, PCA. How to work with this template Title A name given to the resource Face Patterns Analysis and Recognition System Based on Quantum Neural Network QNN Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article