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Abstract: This journal paper deals with data-Mining striving as emerging technique which plays the vital role in digging out the significant appropriate information from the vast stream of data collection. The present research focusses on the diagnosis of the brain tumours and the predictions of disease distinguishing the healthy individuals and the patients. To accomplish this predictions, machine learning algorithm Multinomial-Naive-Bayes algorithm in the classification technique to prediction of the results in relevance with the brain tumors disease. The proposed research consists of Collection of dataset, pre-processing technique, Feature-selection method, and organisation of the data in the normalised form, classification implementation and in the generation of the predicted results. These depicted results were subjected to the comparative analysis of the existing previous predictive models with the present proposed work which is superior to them. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 0-0 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.352848 Issue No:Vol. 16, No. 1 (2024)
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Authors:Abed; Ali Mohammed, Hermassi, Houcemeddine, Barhoumi, Walid Pages: 1 - 28 Abstract: This journal paper deals with Steganography technique which is a method for hiding secret communications inside a cover object during sender-receiver communication. From ancient times to the present, the security of secret information has been a key concern. It has long been an area of interest for researchers to create mechanisms for sending data without disclosing it to anybody other than the intended receiver. To facilitate the safe transport of data, researchers have periodically created a variety of approaches, including steganography. Using the synergies that may be obtained by combining cryptography with steganography. This paper's work seeks to improve an innovative approach for hiding a hidden message inside an image. This study developed a new encryption-based method for embedded image steganography, LSB with the RSA algorithm, to upsurge data security. These depicted results were subjected to the comparative analysis of the existing previous predictive models with the present proposed work which is superior to them. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 1-28 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.349224 Issue No:Vol. 16, No. 1 (2024)
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Authors:Masenya; Tlou Maggie Pages: 1 - 19 Abstract: In an increasingly globalized and knowledge-based economy, this study aimed to investigate the adoption of modern technologies for effective knowledge sharing and enhancing knowledge access in academic libraries. The study was underpinned by the organizational knowledge creation theory (OKCT) and knowledge sharing model. The findings reveal that although modern technologies, such as the internet of things (IoT) and blockchain technologies, have been seen as suitable knowledge sharing strategies by many institutions, the level of their adoption is still low in academic libraries in South Africa, especially in the area of knowledge management. Several recommendations are thus made, and among others are the improvement of technology infrastructure and the enactment of policies for promoting knowledge management and sharing. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 1-19 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.347380 Issue No:Vol. 16, No. 1 (2024)
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Authors:Ilollari; Orkida, Papajorgji, Petraq, Civici, Ardian Pages: 1 - 14 Abstract: This study presents a simulation of economic scenarios using Mind Genomics to evaluate the maturity and ability of students involved in the master's and bachelor's programs to make sound decisions. A third group of specialists in economics is added to the study to evaluate differences among these groups. A comprehensive investigation of the current literature is undertaken to comprehend how different studies have dealt with the issue of the post-COVID-19 recovery process. Literature findings are used to design the Mind Genomics experiment and enable comparisons of student responses with literature findings. The study shows that, in general, master students converge with specialists in economics. The study shows some discrepancies in the scenario-evaluation process between master's and bachelor's students. Finally, recommendations for program examination and potential improvements are suggested to further align the teaching process to market scenarios. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 1-14 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.343633 Issue No:Vol. 16, No. 1 (2024)
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Authors:Yang; Huiyun Pages: 1 - 16 Abstract: In the context of the “double reduction” policy, using big data to carry out precision teaching is an effective way to improve the quality of teaching in schools and reduce the burden on teachers and students and increase efficiency. The formal implementation of the “double reduction” policy has not only reduced students' academic burden, but also increased students' spare time. However, according to relevant data, the current level of anxiety among parents about their children's education is still high, and different parents have different levels of education anxiety. In order to study the impact of the “double reduction” policy on the educational anxiety of parents of primary and secondary school students in the context of big data, this article puts forward some suggestions related to eliminating the educational anxiety of primary school parents based on the existing problems and their causes, so as to create a good educational atmosphere. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 1-16 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.342131 Issue No:Vol. 16, No. 1 (2024)
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Authors:Darwish; Haytham Youssef, Farouk, Mahmoud, Abdelsalam, Mohammed Pages: 1 - 18 Abstract: The purpose of this paper is to explore the influence of education technology antecedents and perceptions of usefulness and ease of use of educational technology systems on attitudes towards computer-based teaching in Egyptian universities. The study is built upon on deductive quantitative approach where structured questionnaires were designed and distributed to the students in Egyptian universities. Results based on SEM analysis identify that the technology dimension partially affects the design dimension, as well there is a partially significant association between the technology dimension and attitude towards technology-based teaching. While the design dimension does not have a significant association with attitude towards technology-based teaching, attitude towards technology-based teaching does not have a significant relationship with student satisfaction. Furthermore, there is a partially significant association between course dimensions and student satisfaction. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 1-18 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.339566 Issue No:Vol. 16, No. 1 (2024)
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Authors:Albakjaji; Mohamad, Almarzouqi, Reem Pages: 1 - 15 Abstract: Artificial intelligence (AI) and intellectual property (IP) share some key similarities, such as uncertainty in predictions, processing a massive amount of data, and machine learning. Yet, they also differ from each other. This paper provides background information on how these two domains have evolved over time. It also highlights how Saudi Arabia's IP system differs from those of other countries. Furthermore, this article explores the relationship between AI and IP and their application in copyright. This study is significant as it helps identify the challenges and opportunities that AI presents with respect to IP in terms of copyright. Finally, this article makes recommendations that will help protect both AI and IP. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 1-15 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.336920 Issue No:Vol. 16, No. 1 (2024)
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Authors:Arokiasamy; Lawrence, Fujikawa, Takemi, Piaralal, Shishi Kumar, Arumugam, Thilageswary Pages: 1 - 32 Abstract: In recent years, HRM has received a lot of traction. Human resource management is essential for all types of enterprises. The bulk of research indicates that HRM and organizational performance have a positive link. Each organization's main goal is to attain high levels of performance in its goals and objectives. In this paper, HRM and practices were investigated. What part do human resources play in achieving organizational objectives' This survey will also evaluate HRM practices by analyzing the 40 papers that have been submitted. In addition, this article offers a thorough examination of the chronological assessment based on each publication. In addition, the results of each research paper's analysis are displayed. A review of the literature was utilized to focus on and review the issue knowledge in this study. Finally, it expands on many research concerns that may be useful to researchers in doing more studies on HRM practices. Keywords: Sociology; Social Sciences & Humanities; Knowledge Society Citation: International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume: 16, Issue: 1 (2024) Pages: 1-32 PubDate: 2024-01-01T05:00:00Z DOI: 10.4018/IJSKD.334555 Issue No:Vol. 16, No. 1 (2024)
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