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Iranian Journal of Information Processing & Management
Scopus
ISSN 2251-8223 · Iranian Research Institute for Information and Technology · 1.019 artikel di indeks
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Artikel Jurnal Teks lengkap
Metasynthesis of Quality Assessment Indicators of Studies Using the Grounded Theory Method
Grounded theory is a prominent research method in qualitative studies. This method enables researchers to conceptualize, identify problems, theorize about the studied phenomena, generalize findings, and disseminate knowledge. Despite its widespread acceptance, many researchers misunderstand and…
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Service Personalization in Digital Libraries: a Systematic Review of Research Trends, Techniques, and Future Directions
Delivering services in digital libraries must align with users’ preferences, needs, and feedback. In this context, service personalization plays a pivotal role in enhancing user satisfaction and maximizing the utilization of digital library capacities. This study aims to systematically review the…
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Cluster Analysis of Semantic Web Research in Knowledge and Information Science
This study aims to analyze the conceptual structure of the Semantic Web domain within Knowledge and Information Science (KIS) using data from the Web of Science (WoS) database spanning from 1995 to 2024. The study was conducted using quantitative content analysis and network analysis methods. The…
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A Study of the Alignment of Schema.org for Describing the Publishing Domain Based on SPAR Ontologies
The purpose of the research is to examine the compatibility of the Schema.org with the publishing domain based on SPAR Ontologies. This research is developmental-applied in terms of its type and employs content analysis as its method. Based on this method, the “units of record” examined are the…
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Prioritizing University Research Evaluation Criteria Using a Hybrid CRITIC and Ordinal Logistic Regression Approach: a Study Based on Real-World Data
In recent years, university evaluation and ranking have become primary concerns for higher education institutions and policymakers. Research criteria play a vital role in determining the academic standing of universities. However, one of the fundamental challenges in this area is determining the…
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Providing a Contingency and Conceptual Model of Content Marketing for Iranian Reading Applications
The aim of this study is to design a contingency and conceptual model of content marketing for Iranian reading applications utilizing two theoretical lenses: customer value theory and institutional theory.This study employed a qualitative approach using thematic analysis. Data were collected…
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Scholarly Reviewer Recommendation Systems: A Scoping Review and Conceptual Framework
Peer review process is a cornerstone of scholarly publishing, playing a pivotal role in ensuring the quality and credibility of academic articles. With the increasing volume of scientific publications and the growth of interdisciplinary research, identifying qualified reviewers has become a…
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Conversational Question Answering for Low-Resource Languages: A Novel Architecture Enhanced by Large Language Models
Conversational Question Answering (CQA) systems have evolved significantly with the advent of Large Language Models (LLMs). However, these advancements have predominantly favored high-resource languages, often overlooking low-resource ones. This paper introduces a novel LLM-enhanced framework…
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The Place of New Technologies and Information Systems in Teleworking Process
The aim of this study is to study the feasibility of a smart teleworking system implementation considering the role of technology and information systems in Iran Copper Industries National Company. The present study is applied in terms of its purpose and is survey-descriptive in nature. The…
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Designing an Artificial Intelligence-Based Knowledge Management Framework in Complex Organizations(Case Study: Social Security Organization)
Knowledge management is a process in which the knowledge available in the organization is identified, collected, organized, stored, and finally shared to help improve decision-making processes, increase productivity, and promote innovation. As one of the key concepts in the information age…
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Adaptive AI-Driven Network Slicing in 6G for Smart Cities: Enhancing Resource Management and Efficiency
ABSTRACT Background: Smart city evolution is fast-paced, and imposes severe demands on telecom infrastructures: it must be highly flexible and scalable for coping with bursty traffic loads and heterogeneous service needs. Legacy network systems are not well suited to handle the changing…
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AI-Powered Network Management with Enhancing Reliability and Security
AbstractBackground: Contemporary multi-protocol networks necessitate scalability, reliability, energy efficiency, and security due to the increasing number of devices and the diversification of network traffic. Conventional network management methods are inadequate to meet these demands…
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Low-Latency Communication with Drone-Assisted 5G Networks
ABSTRACTBackground: Unmanned Aerial Vehicles (UAVs) utilizing and active interface with 5G networks has become the new frontier to tackling problems of latency and energy efficiency, interference, and resource management. Although prior researches explained the benefits of UAV integrated networks…
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A Pathway to Ultra-Fast Data Transmission for Next-Generation Networks through Terahertz Communication in 6G
ABSTRACTBackground: As the demand for ultra-fast, low-latency communication continues to rise, Terahertz (THz) communication has emerged as a promising candidate for enabling next-generation 6G networks. However, environmental sensitivity and hardware challenges pose significant…
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The Future of Airborne Networks Through Integrating Drones into Next-Gen Telecom
ABSTRACT:Background: Unmanned aerial vehicle (UAV) networks as an important part of the modern telecommunication are gaining importance in various situations, including rural coverage, urban settings and emergency situations. However, Interference, scalability and energy efficiency still pose…
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Revolutionizing Telecom Latency with Edge Computing and 5G
ABSTRACTBackground: The telecommunications’ growth, especially with the emergence of 5G, has led to the requirement of low latency solutions. Current cloud computing models possess architectural flaws that prevent real-time service delivery, critical in applications of autonomous vehicles…
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Blockchain Technology and Its Impact on Transparency, Security, and Efficiency in Supply Chain Management
ABSTRACTBackground: The length and depth of global supply networks have been rising over time, causing permanent problems in visibility, protection, and performance. Blockchain technology has come out as a disruptive technology to tackle all these problems, by providing decentralized, safe and…
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Edge AI for Transforming Autonomous Systems and Telecommunications for Enhanced Efficiency and Responsiveness
ABSTRACTBackground: Enabling Edge Artificial Intelligence (Edge AI) to be implemented in autonomous systems and telecommunications can offer for improved real-time data, non-recurring latency, enhanced operational proficiency. Some empirical research suggests that Edge AI minimizes latency by 70%…
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Network Slicing for Customizing 5G Networks for Industry-Specific Needs
ABSTRACTBackground: Network slicing has turned out to be one of the key enablers in the 5G networks due to the ability to support the diverse applications such as ultra reliable and low latency communications for the self-driving cars or IoT-like massive machine type communications. Prior…
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Digital Transformation in Telecommunications from Legacy Systems to Modern Architectures
ABSTRACTBackground: Telecommunications has been rapidly moving from legacy systems to highly flexible modern architectures to accommodate the expanding demand on its services. This evolution is critical in providing the capacity needed for new technologies like 5G, IoT, and applications powered by…
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