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21 results for “A.P.T. Attribution”

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InvestigationOpen accessEvery word in the titleA Proposal for Standardized Data Attribution and Ownership in the Cloud EnvironmentTalal Talib JameelSince the earliest days of cloud computing there has been a steady migration of data from local data stores to the cloud. As more and more cloud platforms become available, this inflow of data has only increased dramatically. By some estimates, "the cloud" will hold 50% of all data by 2020. Localized management of data is typically handled using tools, … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 27 Dec 2016 · 7,041 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCOVID-19 and Cause-Seeking. An Exploratory Study in ItalyMaurizio Norcia, Elisa ColìIn 2020, over 2 million Italian people contracted the SARS-CoV-2 virus. A pandemic of this magnitude and the very stringent countermeasures that have been adopted had a disruptive effect on people's lives, at a psychological, social, and economic levels. The exploratory study illustrated in this article focuses on the search for causes carried out by people and prompted by the … …Journal of Social Sciences, Vol. 18, Issue 1 · 10 Jan 2023 · 5,743 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMaking Sense of Industrial Accidents: The Role of Job SatisfactionSeth A. Gyekye, Simo SalminenThe study examined causality attributions made for workplace accidents and how these attributions may be influenced by job satisfaction. It was part of an extensive exploratory work on causal attributions for industrial accidents in Ghana's work environment. It was carried out in a field setting where the participants were actual accident victims (n=121), co-workers (n=117) and supervisors (n=82) at their … …Journal of Social Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 7,256 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 · 901 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomobile Spray Paint Dust and Human Health: A Multi-Site Environmental Health Risk Assessment of Carcinogenic and Non-Carcinogenic Effects in South-Eastern NigeriaAdindu Ihuoma Blossom, Ubouh Emmanuel Attah, Obasi Kalu Omokorie, Raimi Morufu OlalekanInformal automobile spray-painting operations release metal-laden dust, posing occupational and residential health risks. Seasonal variations, receptor-specific exposure, and metal composition influence non-carcinogenic and carcinogenic hazards, yet data from South-Eastern Nigeria remain limited. This study quantified heavy-metal exposure in automobile spray-paint dust, assessed receptor-specific non-carcinogenic (HI) and carcinogenic (ILCR) risks, examined seasonal and metal-specific trends, and evaluated source attribution to inform … …American Journal of Environmental Sciences, Vol. 22, Issue 1 · 22 Jun 2026 · 1,563 accessesView PDFCite
Review ArticleOpen accessIn the abstractBio-Inspired Materials: Exhibited Characteristics and Integration Degree in Bio-Printing OperationsAntreas KantarosIn the last decade, additive manufacturing techniques, commonly known under the term "3d printing" have seen constantly increasing use in various scientific fields. The nature of these fabrication techniques that operate under a layer-by-layer material deposition principle features several de facto advantages, compared to traditional manufacturing techniques. These advantages range from the precise attribution of pre-designed complex shapes to the … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 4 · 29 Nov 2022 · 7,185 accessesView PDFCite
Research ArticleOpen accessIn the abstractComprehensive Assessment of Spatial Distribution of Road-Network Vulnerability in South AsiaPan Yuqi, Jiang Penghui, Li Manchun, Chen DengshuaiUnexpected phenomena-natural disasters, accidents and wars-can disrupt regional traffic systems because of the incapacities of road networks to sustain inflicted impacts. Therefore, the assessment of road-network vulnerability becomes integral to traffic-safety-maintenance and accident-prevention procedures. This study demonstrates the development of a comprehensive network system based on suggested improvements in node extraction, road construction and network attribution. An indicator system for … …American Journal of Environmental Sciences, Vol. 17, Issue 6 · 24 Dec 2021 · 6,452 accessesView PDFCite
Review ArticleOpen accessIn the abstractDiagnosis of Pain in Small Companion AnimalsGiorgia della Rocca, Alice Catanzaro, Alessandra Di Salvo, Mary Ellen GoldbergIt is now widely accepted that animals are able to experience pain in a similar way to humans. Acute and/or chronic pain is associated not only with many surgical procedures, but also with various medical diseases, where pain may increase morbidity and mortality. Moreover, some types of pain (e.g., neuropathic pain) can be considered as an illness in themselves. Recognizing … …American Journal of Animal and Veterinary Sciences, Vol. 10, Issue 2 · 15 Jun 2015 · 8,003 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,042 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,351 accessesView PDFCite