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21 articles for “Unique Risk”
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Research ArticleOpen accessIn the keywordsAnalyzing and Estimating Portfolio Performance of Bangladesh Stock MarketMd. Zobaer Hasan, Anton Abdulbasah Kamil, Adli Mustafa, Md. Azizul BatenCapital Asset Pricing Model (CAPM) is one of the most important developments in the finance literature. Simply, CAPM is a model that describes the relationship between risk and expected return. The theoretical validity of CAPM is well tested and accepted but the practical validity of CAPM is in questioned. This study is designed to analyze and estimate the portfolio performance … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 6 Feb 2013 · 8,010 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetecting Novelty in Indonesian Research Grant Proposals Using Machine Learning and Natural Language ProcessingWalanstar Alimcan Sitorus, Evaristus Didik MadyatmadjaAssessing the novelty of research proposals represents a critical challenge in large-scale research grant management, particularly when the number of submitted proposals is substantial and topic diversity continues to increase. This study proposes an analytical approach to detect the novelty of Indonesian academic research proposal titles by leveraging semantic similarity based on Natural Language Processing (NLP). The CRISP-DM framework is … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Aug 2026 · 1,067 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdaptive Security for Facilities in High-Risk Cities: A Case Study ApproachPuya PakshadEstablishing a facility in a high-crime urban area with complex security challenges necessitates strategic foresight and innovative approaches. This study investigates the range of risks confronting such facilities, including criminal activity, civil unrest, and cyber threats, and presents practical, evidence-based solutions to mitigate them. A central focus is placed on the collaborative engagement of key stakeholders-such as local authorities, community … …Journal of Computer Science, Vol. 21, Issue 6 · 23 May 2025 · 5,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,649 accessesView PDFCite
Case ReportOpen accessIn the abstractIdentification and Management Implications of Fusobacterium Nucleatum PylephlebitisShoja Rahimian, Maria Labra, Ian Garrahy et al.Suppurativethrombophlebitis of the portal vein, or pylephlebitis, is a rare infectious manifestation. Only few casesresulting from Fusobacterium species have been reported, demonstratingthe disease that is in some ways analogous to Lemierre’s syndrome, orsuppurative thrombophlebitis of the internal jugular vein. Of these, Fusobacteriumnucleatum represents an important subtype with unique colon cancer risk.With high mortality rates up to 32% being described in … …American Journal of Infectious Diseases, Vol. 18, Issue 3 · 26 Sep 2022 · 5,689 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of an Automatic Umbrella Actuated through Water and Temperature SensorsMeher Dev Gudela, Atharv Kulkarni, Abhishek Dhotre, Kshitiz ShrimaliThe aim of this thesis is to make a smart umbrella which can reduce human effort due to its functionality and can target the market due to its unique design, is really important in modern society at risk of rainfall and wind without coverage in place. The purpose of this project is to make such an umbrella that is really … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 29 Sep 2020 · 17,494 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 accessesView PDFCite
EditorialOpen accessIn the abstractWhere the Future is Being Made TodayMark A. Brown, Joachim Storsberg, Christian SchmidtGrowing up, I was fascinated by The Muppet Show and the adventures of Dr. Bunsen Honeydew and his assistant Beaker. Apparently, my feelings were not unique because Muppet characters are used to ease tensions associated with education about clinical interventions (Ramsay, 2014; Rohn, 2007). Yet the opening phrase 'Where the future is being made today' has, in my opinion, summed … …American Journal of Immunology, Vol. 12, Issue 2 · 28 Jun 2016 · 7,425 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstruction Risk Taxonomy: An International Convergence of Academic and Industry PerspectivesKristen Barlish, Alberto De Marco, Muhammad Jamaluddin ThaheemRisk management is a topic heavily researched and important for industry professionals. Both academic and industry perspectives are critical to advancing this field, especially in risk identification and taxonomy. A unique comparison and convergence of these perspectives is developed in order to understand the most relevant risks for projects and to ensure they are addressed in the risk management process. … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 24 Jun 2013 · 7,331 accessesView PDFCite