• Identification of Stakeholders in Personal Health Records Using Blockchain Technology: A Comprehensive Review 

  Khajouei, Hamid؛ Taghavifard, Mohammad Taghi؛ Amiri, Maghsoud؛ Raeesi Vanani, Iman (Faculty of Management, University of Tehran, 2024-04-01)

  Leveraging supplementary technology such as Blockchain has the potential to alter the stakeholders involved in a system. Paying attention to stakeholders is one of the main pillars of developing a system. Evidence has shown ...

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• Establishing Criteria for an Optimal Online Learning Environment for Iranian University Students: A Qualitative Research Synthesis 

  Taghaddomi, Mohammad Shahin؛ Mazandarani, Amir Ali (Faculty of Management, University of Tehran, 2024-04-01)

  The adoption of E-learning in academic environments, particularly in Iran, has accelerated over the past decades. However, the lack of established guidelines for instructional design seems to have hindered the creation of ...

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• The evolution and trends in IT governance research: A bibliometric analysis 

  Zahiruddin, Haikal؛ Wijaya, Adi (Faculty of Management, University of Tehran, 2024-04-01)

  Information technology (IT) governance has become a crucial area of study because of the growing corpus of research in the area. This study aims to conduct both a literature review and bibliometric analysis focusing on ...

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• A Fuzzy Inference System to Evaluate Maturity of Green Information Technology 

  Khadivar, Ameneh؛ Mobini Kashe, Maryam؛ Basraei, Raha (Faculty of Management, University of Tehran, 2024-04-01)

  Green information technology is in the spotlight for organizations, helping them save money by using information technology (IT) to achieve the highest efficiency and thus reduce environmental impacts. One of the ways that ...

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• Performance Comparison of Different Digital and Analog Filters Used for Biomedical Signal and Image Processing 

  Duraivelu, Hemanand؛ Dhamodharan, Udaya Suriya Rajkumar؛ Udayaraju, Pamula؛ Prakash, S. Jaya؛ Murugesan, Sasikumar (Faculty of Management, University of Tehran, 2024-02-01)

  Getting highly accurate output in biomedical data processing concerning biomedical signals and images is impossible because biomedical data are generated from various electronic and electrical resources that can deliver ...

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• Chronic Kidney Disease Risk Prediction Using Machine Learning Techniques 

  D, Baswaraj؛ K, Chatrapathy؛ Prasad, Mudarakola Lakshmi؛ N, Pughazendi؛ Kiran, Ajmeera؛ N, Partheeban؛ Shaker Reddy, Pundru Chandra (Faculty of Management, University of Tehran, 2024-02-01)

  In healthcare, a diagnosis is reached after a thorough physical assessment and analysis of the patient's medicinal history, as well as the utilization of appropriate diagnostic tests and procedures. 1.7 million People ...

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• Brain Tumor Image Prediction from MR Images Using CNN Based Deep Learning Networks 

  Sudhakar, Bolleddu؛ Sikrant, Poornima A؛ Prasad, Mudarakola Lakshmi؛ Latha, S Bhargavi؛ Kumar, Golconda Ravi؛ Sarika, Sabavath؛ Shaker Reddy, Pundru Chandra (Faculty of Management, University of Tehran, 2024-02-01)

  Finding a brain tumor yourself by a human in this day and age by looking through a large quantity of magnetic-resonance-imaging (MRI) images is a procedure that is both exceedingly time consuming and prone to error. It may ...

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• Guest Editorial: Recent Advances, Challenges and Future Trends in EHealth Informatics 

  Ahmed, Syed Thouheed؛ Elngar, Ahmed A.؛ N, Thillaiarasu؛ Ravi, Logesh (Faculty of Management, University of Tehran, 2024-02-01)

  The Special Issue on “Recent Advances, Challenges and Future Trends in eHealth Informatics" of Journal of Information Technology Management (JITM) presents advancing research, technologies, and applications in this rapidly ...

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• Cucumber Leaf Disease Detection and Classification Using a Deep Convolutional Neural Network 

  Singh, Manish K.؛ Kumar, Avadhesh (Faculty of Management, University of Tehran, 2023-12-01)

  Due to obstruction in photosynthesis, the leaves of the plants get affected by the disease. Powdery mildew is the main disease in cucumber plants which generally occurs in the middle and late stages. Cucumber plant leaves ...

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• Prediction of Type - I and Type –II Diabetes: A Hybrid Approach using Fuzzy Logic and Machine Learning Algorithms 

  Pattun, Geeta؛ Afroaz, Khaleda؛ Siddiqui, Ahmad Talha؛ Ghazala, Shaheena (Faculty of Management, University of Tehran, 2023-12-01)

  Diseases like diabetes are chronic and require long-term management. Inadequate production of insulin results in high blood sugar levels. Such diseases lead to serious health issues such as heart ailments, blood vessel ...

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• Assessing the performance of Co-Saliency Detection method using various Deep Neural Networks 

  Mangal, Anuj؛ Garg, Hitendra؛ Bhatnagar, Charul (Faculty of Management, University of Tehran, 2023-12-01)

  Co-Saliency object detection is the process of identifying common and repetitive objects from the group of images. Earlier studies have looked over several state-of-art deep neural network methodologies for co-saliency ...

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• The Digital Transformation of Creative Industries as a Management Imperative of Information Security of Society on a Parity-Legal Basis 

  Prokhorova, Viktoriia؛ Chechetova, Natalia؛ Korzh, Roman؛ Orel, Oksana؛ Fedotova, Iryna؛ Lytvynenko, Kateryna (Faculty of Management, University of Tehran, 2023-11-01)

  The article defines that the composition and structure of creative industries, their branch specialization and cooperation, the scale and directions of development of industrial and other relations are determined by means ...

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• In-Depth Analysis of Various Artificial Intelligence Techniques in Software Engineering: Experimental Study 

  Mustaqeem, Mohd؛ Siddiqui, Tamanna؛ Ahmad Khan, Najeeb؛ Kumar, Deepak (Faculty of Management, University of Tehran, 2023-08-01)

  In this paper, we have extended our literature survey with experimental implementation. Analyzing numerous Artificial Intelligence (AI) techniques in software engineering (SE) can help understand the field better; the ...

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• Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network 

  Goyal, Nandita؛ Chandra Trivedi, Munesh (Faculty of Management, University of Tehran, 2023-08-01)

  Cloud Computing has drastically simplified the management of IT resources by introducing the concept of resource pooling. It has led to a tremendous improvement in infrastructure planning. The major goals of cloud computing ...

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• A New S-Box Design by Applying Bat Algorithm Based Technique 

  Din, Maiya؛ K. Pal, Saibal؛ Muttoo, S.K.؛ Madan, Sushila (Faculty of Management, University of Tehran, 2023-08-01)

  Substitution-boxes (S-boxes) are very important nonlinear components used for achieving strong confusion for enhancing cryptographic security in most of the block ciphers. Designing cryptographically strong S-boxes has ...

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• Brain Computer Interface using Genetic Algorithm with modified Genome and Phenotype Structures 

  Dhiman, Rohtash؛ Anshul, A (Faculty of Management, University of Tehran, 2023-08-01)

  The human machine interface research in the light of modern fast computers and advanced sensors is taking new heights. The classification and processing of neural activity in the brain accessed by Magnetic Resonance Imaging ...

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• Multi- Objective Fuzzy Software Release Problem with learning capacities for fault detection and correction processes 

  Kumar, Deepak؛ Gupta, Pankaj؛ Kapur, P. K. (Faculty of Management, University of Tehran, 2023-08-01)

  Without utilization of computer and its related technology, modern day's life cannot be headway. It has also transformed into an incredibly troublesome task. The genuine challenges included are shorter life cycles, cost ...

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• Application of Grouped MCDM Technique for Ranking and Selection of Laptops in the Current Scenario of COVID-19 

  Gaur, Avinash (Faculty of Management, University of Tehran, 2023-08-01)

  In the modern technological age, laptops are widely used for doing various day-to-day activities and getting updates all around us. The COVID-19 situation is playing a vital role in a dynamic shift in buyer behavior with ...

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• Range of Publications for E-Government Services: a Review and Bibliometric Analysis 

  Ibrahim, Adil Hassan؛ Nurmandi, Achmad (Faculty of Management, University of Tehran, 2023-04-01)

  With the rapid advancement of information and communication technology (ICT), public administration has adopted the concept of e-government. The academic literature produced many studies in the field of E-government (E-GOV) ...

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• Exploring the Perceived online Review Credibility and Management Response Influence on Purchase Intention 

  Djafarova, Elmira؛ Geere BA, Laura (Faculty of Management, University of Tehran, 2023-04-01)

  Online reviews play a crucial role in the consumer decision-making process in the glamping industry. Some reviews are misleading; therefore, users need to identify credible reviews to form objective opinions. This study ...

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