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142 results for “uncertainty”
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Research ArticleOpen accessIn the keywordsTen Theses in Search of a Thesis for Late Modern OrganizationsHooman AttarProblem statement: Organizational studies frequently fail to integrate major sociological treatments of the problematic nature of contemporary society into their routine investigations. Approach: This study used the idea of risk management as a lever for integrating sociological explorations of the risk society and reflexive modernization into organizational studies, opening up the question of the restricted nature of organizational considerations of … …Journal of Social Sciences, Vol. 6, Issue 1 · 31 Mar 2010 · 7,964 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Error Correction Intuitive Approach in Quantum Communications ProtocolsAris Skander, Merabtine Nadjim, Malek BenslamaQuantum Error Correction will be necessary for preserving coherent states against noise and other unwanted interactions in quantum computation and communication. We develop a general theory of quantum error correction based on encoding states into larger Hilbert spaces subject to known interactions. We obtain necessary and sufficient conditions for the perfect recovery of an encoded state after its degradation by … …American Journal of Applied Sciences, Vol. 4, Issue 8 · 31 Aug 2007 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Approach for Developing Uncertain Multi-perspective Expert System Using the Algebraic Sum MethodMusbah J. AqelA multi-perspective expert system approach based on algebraic sum method was developed to deal with uncertain knowledge and provides different perspectives for different experts while dealing with single knowledge base according to experts' interests. However, assertion value for each perspective is calculated and by using the algebraic summation method a conclusion can be determined. …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Feb 2006 · 6,734 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNew Trajectory Control Directional MWD Accuracy Prediction and Wellbore Positioning MethodAhmed Abd Elaziz Ibrahim, Tagwa Ahmed Musa, Tang FengLin, Yao AiGouThe deviation control is to restrict the drilling direction of the bit from time to time. The drilling direction is of course depending on the direction of the resultant forces acting on the bit. What is the relationship between these directions? Are there any other influential factors? Answers to such questions, different points of view were subjected to analysis. …American Journal of Applied Sciences, Vol. 2, Issue 3 · 31 Mar 2005 · 6,905 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 888 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Anomaly Detection Using Picture Fuzzy Clustering ApproachFehmin Nadira Laskar, Vijo Arul Selvi M., Fokrul Alom Mazarbhuiya et al.Improving the effectiveness of security systems without slowing them down is a major challenge in cybersecurity. Many methods have been explored for detecting anomalous behaviour in network data, with fuzzy set-based approaches standing out for their potential. The Internet of Things (IoT) consists of many connected devices that constantly generate large amounts of data and perform tasks in real time. … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,515 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistress About Covid-19 in Panama: Psychometric StructureEricka Matus, Lorena Matus, Ana Florez et al.The psychological impact of the pandemic has established the urgent need to respond to the needs of the population in each culture, region and context. Thus, in the Republic of Panama, the efforts of numerous specialists have combined actions to attend to the crisis. This study aims to obtain the factor structure and psychometric properties of the SARS-CoV-2 distress scale, … …Journal of Social Sciences, Vol. 17, Issue 1 · 24 Nov 2021 · 7,327 accessesView PDFCite
Review ArticleOpen accessIn the abstractStructural Barriers to the Deployment of AI Foundation ModelsHristo Hristov, Elena Somova, Emil FuchedzhievArtificial Intelligence (AI) foundation models excel at benchmarks but are not always cost-effective or successfully deployed in enterprise systems. This paper analyzes the failures in their deployment through interconnected structural components characterized by: Economic constraints (computational costs, memory, and latency that scale with increasing use of AI model services), cognitive constraints (related to training objectives that optimize plausibility rather than … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 808 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolar Disentangled Non-Local Convolutional Neural Network for Skin Cancer Classification Using Dermoscopy ImagesUsha Thirugnanam, Nalini JosephSkin cancer classification is the process of identifying and categorizing various types of skin lesions into cancerous and non-cancerous. This process is performed to achieve accurate detection, which minimizes the risk of severe health complications. However, classifying the severity of skin lesion images is a difficult task because of subtle and overlapping visual patterns, which could lead to inaccurate performance. … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,207 accessesView PDFCite