Zaid Jaradat, Ahmad AL-Hawamleh, Marwan Altarawneh, Heba Hikal, Alya Elfedawy
{"title":"The Interplay between Intellectual Capital, Business\u0000Intelligence Adoption, and the Decision to Innovate: Evidence\u0000from Jordan","authors":"Zaid Jaradat, Ahmad AL-Hawamleh, Marwan Altarawneh, Heba Hikal, Alya Elfedawy","doi":"10.12785/ijcds/150197","DOIUrl":"https://doi.org/10.12785/ijcds/150197","url":null,"abstract":"","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"75 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140239583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Alpha-FedAvg: Safeguarding Privacy and Enhancing Forensic\u0000Analysis in Federated Learning on Edge Devices","authors":"Karam Muhammed Mahdi Salih, Najla Badie Ibraheem","doi":"10.12785/ijcds/150198","DOIUrl":"https://doi.org/10.12785/ijcds/150198","url":null,"abstract":"","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"94 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140237946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analyzing the Impact of Discretization Techniques on Real\u0000Time Simulation of DC Servo Motor Using FPGA","authors":"Mini K. Namboothiripad","doi":"10.12785/ijcds/1501103","DOIUrl":"https://doi.org/10.12785/ijcds/1501103","url":null,"abstract":"","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"58 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Detection of COVID-19 from Chest X-Ray Images\u0000Using EfficientNet-B7 CNN Model with Channel-wise Attention","authors":"Mohamed Rami Naidji, Zakaria Elberrichi","doi":"10.12785/ijcds/1501102","DOIUrl":"https://doi.org/10.12785/ijcds/1501102","url":null,"abstract":"","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"1 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140237597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mehdi AIT SAID, Abdellah Ezzati, Soukaina Mihi, Lahcen Belouaddane
{"title":"Microservices Adoption: An Industrial Inquiry into Factors\u0000Influencing Decisions and Implementation Strategies","authors":"Mehdi AIT SAID, Abdellah Ezzati, Soukaina Mihi, Lahcen Belouaddane","doi":"10.12785/ijcds/1501100","DOIUrl":"https://doi.org/10.12785/ijcds/1501100","url":null,"abstract":"","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"9 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Cervical cancer has under the top cancer found in women of developing countries since last many years. Classification of cervical cancer through a traditional microscopic approach is a monotonous and prolonged task. Most of the time hospital doctors cannot identify the cancer cells as sometimes the nucleus of a cell, which contains the genetic material (DNA), is typically very small and often not visible to the naked eye. Due to the di ff erent perspectives of doctors, cancer stages are classified falsely which leads to low recovery and late medication. The use of Image Processing and Machine Learning technologies can take o ff misclassification and inaccurate prediction. Although many deep learning techniques are available for cervical cancer cell detection and classification, the performance of such techniques for prediction and classification with real and sample datasets is the main challenge. In this paper, we did a thorough state-of-the-art review of the available current literature. The objective of this paper is to bring forth in-depth knowledge to novice researchers with a thorough understanding of the architecture of the computer-assisted classification process. The current literature is studied, analyzed, and discussed with their approaches, results, and methodologies.
{"title":"Meticulous Review: Cutting-Edge Cervix Cancer Stratification\u0000Using Image Processing And Machine Learning","authors":"Barkha Bhavsar, B. Shrimali","doi":"10.12785/ijcds/150195","DOIUrl":"https://doi.org/10.12785/ijcds/150195","url":null,"abstract":": Cervical cancer has under the top cancer found in women of developing countries since last many years. Classification of cervical cancer through a traditional microscopic approach is a monotonous and prolonged task. Most of the time hospital doctors cannot identify the cancer cells as sometimes the nucleus of a cell, which contains the genetic material (DNA), is typically very small and often not visible to the naked eye. Due to the di ff erent perspectives of doctors, cancer stages are classified falsely which leads to low recovery and late medication. The use of Image Processing and Machine Learning technologies can take o ff misclassification and inaccurate prediction. Although many deep learning techniques are available for cervical cancer cell detection and classification, the performance of such techniques for prediction and classification with real and sample datasets is the main challenge. In this paper, we did a thorough state-of-the-art review of the available current literature. The objective of this paper is to bring forth in-depth knowledge to novice researchers with a thorough understanding of the architecture of the computer-assisted classification process. The current literature is studied, analyzed, and discussed with their approaches, results, and methodologies.","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"53 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: The demand for improving e ffi ciency, productivity, and business processes through cloud-based enterprise resource planning (ERP) has grown substantially in recent decades. This study aimed to investigate the benefits and challenges of moving traditional ERP to the cloud, as well as the success factors that facilitate the transformation process. To the best of our knowledge, few studies have explored these areas in depth. To achieve the specified aims, semi-structured interviews were conducted with government, semi-government, and private companies that had moved their traditional ERP to the cloud. The data were analyzed using thematic analysis. It showed that the movement to the cloud would bring significant cost savings, standardization of business processes, improved accessibility, mobility, and usability and facilitate rapid implementations and upgrades and strict security standards. However, organizations may face challenges during the transformation process, such as customization limitations, organization, and user resistance, concerns about internet reliability and security issues. To ensure the success of the transformation process, the following typical success factors were identified: business process re-engineering, careful planning of the transformation approach, the quality of the project team, and e ff ective communication. This paper provides valuable insights for businesses considering implementing or migrating to cloud-based ERP.
{"title":"Exploring the Impact of Shifting ERP Systems to the Cloud","authors":"Zahyah H. Alharbi, Norah J. Almouteq","doi":"10.12785/ijcds/150192","DOIUrl":"https://doi.org/10.12785/ijcds/150192","url":null,"abstract":": The demand for improving e ffi ciency, productivity, and business processes through cloud-based enterprise resource planning (ERP) has grown substantially in recent decades. This study aimed to investigate the benefits and challenges of moving traditional ERP to the cloud, as well as the success factors that facilitate the transformation process. To the best of our knowledge, few studies have explored these areas in depth. To achieve the specified aims, semi-structured interviews were conducted with government, semi-government, and private companies that had moved their traditional ERP to the cloud. The data were analyzed using thematic analysis. It showed that the movement to the cloud would bring significant cost savings, standardization of business processes, improved accessibility, mobility, and usability and facilitate rapid implementations and upgrades and strict security standards. However, organizations may face challenges during the transformation process, such as customization limitations, organization, and user resistance, concerns about internet reliability and security issues. To ensure the success of the transformation process, the following typical success factors were identified: business process re-engineering, careful planning of the transformation approach, the quality of the project team, and e ff ective communication. This paper provides valuable insights for businesses considering implementing or migrating to cloud-based ERP.","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"62 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140254797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of YOLO (V3,V5) and MobileNet-SSD (V1,V2) for\u0000Person Identification Using Ear-Biometrics","authors":"Shahadat Hossain, Humaira Anzum, Shamim Akhter","doi":"10.12785/ijcds/150189","DOIUrl":"https://doi.org/10.12785/ijcds/150189","url":null,"abstract":"","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"28 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140254910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: This study presents a comprehensive Cybersecurity Resilience Framework designed to fortify organizational defenses against the evolving landscape of cyber threats while enhancing business continuity. The aim is to provide businesses with a robust and adaptive strategy that extends beyond traditional cybersecurity paradigms. This study employs a methodology grounded in an extensive cybersecurity literature review to inform the conceptualization and iterative development of a resilient framework, integrating key elements from established sources and aligning with industry wisdom. By integrating governance and leadership principles, collaboration with external stakeholders, and continuous monitoring, the framework fosters a holistic approach to cyber resilience. Leveraging a behavioral perspective, the study explores human factors, user awareness, and decision-making processes, recognizing the critical role of organizational culture in fostering a cybersecurity-aware ethos. Findings reveal a roadmap that includes technology resilience, regular audits, and assessments, emphasizing evidence-based improvements. The framework addresses resource constraints, regulatory variability, and the dynamic threat landscape, promoting adaptability in the face of diverse organizational contexts. The significance of this study lies in its contribution to the ongoing evolution of cyber resilience strategies, o ff ering organizations a practical guide to navigate the complexities of the digital realm. As businesses increasingly rely on interconnected technologies, this framework stands as a vital tool for enhancing security, safeguarding critical assets, and ensuring continuity in the face of an ever-changing cyber threat landscape.
{"title":"Cyber Resilience Framework: Strengthening Defenses and\u0000Enhancing Continuity in Business Security","authors":"Ahmad AL-Hawamleh","doi":"10.12785/ijcds/150193","DOIUrl":"https://doi.org/10.12785/ijcds/150193","url":null,"abstract":": This study presents a comprehensive Cybersecurity Resilience Framework designed to fortify organizational defenses against the evolving landscape of cyber threats while enhancing business continuity. The aim is to provide businesses with a robust and adaptive strategy that extends beyond traditional cybersecurity paradigms. This study employs a methodology grounded in an extensive cybersecurity literature review to inform the conceptualization and iterative development of a resilient framework, integrating key elements from established sources and aligning with industry wisdom. By integrating governance and leadership principles, collaboration with external stakeholders, and continuous monitoring, the framework fosters a holistic approach to cyber resilience. Leveraging a behavioral perspective, the study explores human factors, user awareness, and decision-making processes, recognizing the critical role of organizational culture in fostering a cybersecurity-aware ethos. Findings reveal a roadmap that includes technology resilience, regular audits, and assessments, emphasizing evidence-based improvements. The framework addresses resource constraints, regulatory variability, and the dynamic threat landscape, promoting adaptability in the face of diverse organizational contexts. The significance of this study lies in its contribution to the ongoing evolution of cyber resilience strategies, o ff ering organizations a practical guide to navigate the complexities of the digital realm. As businesses increasingly rely on interconnected technologies, this framework stands as a vital tool for enhancing security, safeguarding critical assets, and ensuring continuity in the face of an ever-changing cyber threat landscape.","PeriodicalId":37180,"journal":{"name":"International Journal of Computing and Digital Systems","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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