Intelligent behavior modeling in virtual environments by Jain Manik

“…The author explores different scenarios and methods of implementing an AI system in an open-world sandbox game modeled on the popular imaginative game Minecraft.…”
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Bringing open educational practice to a research-intensive university: Prospects and challenges by Masterman, E

“…However, openness can enhance the specifics of that pedagogy; for example, through aligning research-informed teaching with emergent open practices in research and equipping students with the skills necessary for living and working in an open world. There is a closer alignment between releasing OER and an RIU’s strategic mission for outreach. …”

China’s Middle East Economic Diplomacy in the New Era by Shaobiao Wen, Yao Chen

“…China adjusts its economic diplomacy in the Middle East in the New Era considering multi-dimensional factors: First, to respond to both sides’ new demands for economic development, seek solutions to the sluggish growth of its traditional economic cooperation pattern with the Middle East, and enhance high-quality cooperation; second, to promote a peaceful and stable regional environment and consolidate Middle East countries’ diplomatic support to China, serving China’s increasing security interest and need for political influence in the Middle East; and third, to improve Middle East countries’ willingness and capacities to deepen their engagements in global economic governance and jointly build an open world economy to respond to mutual demands for international economic institutional reform. …”
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Survey of Cross-Modal Person Re-Identification from a Mathematical Perspective by Minghui Liu, Yafei Zhang, Huafeng Li

“…In recent years, researchers have begun to focus on open-world person Re-ID tasks based on non-ideal situations. …”
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Detecting Malware Activities With MalpMiner: A Dynamic Analysis Approach by Mustafa F. Abdelwahed, Mustafa M. Kamal, Samir G. Sayed

“…ASP is a nonmonotonic reasoning engine built on an open-world assumption, which allows MalpMiner to adopt commonsense reasoning when capturing malware activities of any given binary. …”
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Tor Anonymous Traffic Identification Based on Parallelizing Dilated Convolutional Network by Yunan Lu, Manchun Cai, Ce Zhao, Weiyi Zhao

“…Our experiment shows that the proposed Tor anonymous traffic recognition method achieves 94.37% accuracy and gains a significant drop in training time in both closed-world and open-world scenarios. At the same time, the enhanced traffic data enhance the robustness and generalization of our model. …”
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Risks and benefits of economy digitalization in the shadow labor market (case of Uzbekistan) by Amanova Maftuna

“…Study of a number of advantages and components of information technology and their development using macroeconomic indices for the period of 2000–2020 by means of OLS (Ordinary Least Squares) regression of the data obtained from the open World Bank database and calculated by the MIMIC (Multiple Indices Multiple Causes) model for Uzbekistan shows both favorable and negative effects on shadow labor employment; this in turn allows us to develop necessary legal and regulatory and technical recommendations to reduce shadow employment in the to subsequent parts of this study. …”
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A Practical Website Fingerprinting Attack via CNN-Based Transfer Learning by Tianyao Pan, Zejia Tang, Dawei Xu

“…The experimental results in closed-world and open-world settings show that the effectiveness of the CWFA scheme is better than previous researches, with the slowest performance degradation when the number of data decreases, and the FM-CWFA scheme can remain effective when the statistical features change.…”
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Towards Efficient Robotic Software Development by Reusing Behavior Tree Structures for Task Planning Paradigms by Shuo Yang, Qi Zhang

“…Nowadays, autonomous robots are expected to accomplish more complex tasks and operate in an open-world environment with uncertainties. Developing software for such robots involves the design of task planning paradigms and the implementation of robotic software architectures, making software development rather tricky and time-consuming. …”
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Resilient critical infrastructures: An innovative methodological perspective for critical infrastructure (CI) integrated assessment models by inducing digital technologies during m... by Ahmad Mohamad El‐Maissi, Moustafa Moufid Kassem, Fadzli Mohamed Nazri

“…. • Inducing Digital Technologies during Multi-Hazard Incidents for improving Natural hazard assessment models. • Developing an open-world gaming scenario that is considered with high visual motion pictures and scenes.…”
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A new periocular dataset collected by mobile devices in unconstrained scenarios by Luiz A. Zanlorensi, Rayson Laroca, Diego R. Lucio, Lucas R. Santos, Alceu S. Britto, David Menotti

“…The results achieved in the closed- and open-world protocol, considering the identification and verification tasks, show that this area still needs research and development.…”
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Continuous Knowledge Graph Refinement With Confidence Propagation by Alisettar Huseynli, M. Ali Akcayol

“…The proposed methods can be grouped as closed-world approaches that take into account the KG itself or open-world approaches using external resources. The recent studies also considered the confidence of triples in the refinement process. …”
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Tactile Resilience of Sensory Whisker by Adaptive Morphology by Nhan Huu Nguyen, Helmut Hauser, Perla Maiolino, Van Anh Ho

“…This work is expected to shed a light on a new generation of robots that automatically work in the open world where self-maintenance against uncertainties is needed.…”
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Grand Theft Auto-Based Cycling Simulator for Cognitive Enhancement Technologies in Dangerous Traffic Situations by Julius Schöning, Jan Kettler, Milena I. Jäger, Artur Gunia

“…This paper introduces a way to use the video game <i>Grand Theft Auto V</i> (GTA V) and its sophisticated traffic system as a base to create such a simulator, allowing for the safe and realistic testing of dangerous traffic situations involving cyclists, cars, and trucks. The open world of GTA V, which can be explored on foot and via various vehicles, serves as an immersive stand-in for the real world. …”
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Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning by Bhat, Sanjit, Lu, David, Kwon, Albert Hyukjae, Devadas, Srinivas

“…In this work, we propose Var-CNN, a website fingerprinting attack that leverages deep learning techniques along with novel insights specific to packet sequence classification. In open-world settings with large amounts of data, Var-CNN attains over 1% higher true positive rate (TPR) than state-of-the-art attacks while achieving 4× lower false positive rate (FPR). …”
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Evolutionary rule learning in knowledge graphs with industry applications by Wu, L

“…Rule evaluation is extended from the restrictive closed world assumption (CWA) to a more practical open world assumption (OWA). Experimental results, assessed using various evaluation metrics on multiple real-world knowledge graphs, underscore Evoda's proficiency in mining superior quality rules, its enhanced precision in predictions within the enlarged rule space, and its significant strides in efficiency and scalability, handling up to 22 million facts within mere seconds. …”

Designing a Virtual Arboretum as an Immersive, Multimodal, Interactive, Data Visualization Virtual Field Trip by Maria C. R. Harrington, Zack Bledsoe, Chris Jones, James Miller, Thomas Pring

“…Deployed in a game engine, it is a large, open-world simulation, representing 100 hectares and ideal for use when free choice in navigation and high fidelity are required. …”
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Deep Learning for Daily Monitoring of Parkinson’s Disease Outside the Clinic Using Wearable Sensors by Roozbeh Atri, Kevin Urban, Barbara Marebwa, Tanya Simuni, Caroline Tanner, Andrew Siderowf, Mark Frasier, Magali Haas, Lee Lancashire

“…However, the unsupervised and “open world” nature of this type of data collection make such applications difficult to develop. …”
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Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosystems by Sébastien Villon, Corina Iovan, Morgan Mangeas, Laurent Vigliola

“…Yet, these rules imply three issues for deep learning applications: the imbalance of long-tail datasets biases the training of DL models; scarce data greatly lessens the performances of DL models for classes with few data. Finally, the open-world issue implies that objects that are absent from the training dataset are incorrectly classified in the application dataset. …”
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تفعيل الاستثمار الأجنبي المباشر في الجزائر باتجاه التنمية المستدامة by رسلان خضور, ناديا شبانة

“…Given the growing interest and the race between countries to foreign direct investment, especially after the financial policies and recent developments and global economic crisis in the Arab region, and the crisis in the euro zone and the recession in the global investment market, with the moderns developments in foreign investment trends, all countries and especially developing countries seek to provide favorable conditions for attracting foreign direct investment, and Algeria, like other developing countries, are not immune to these changes, which calls for the adoption of policies and reforms that create the appropriate economic environment and adopt a policy of open door to foreign investment so that it matches these developments in order to benefit from its advantages and strengthen their competitiveness in an open world trade and foreign investment and at the end engage in the circle of economic growth and achieve sustainable development in general. …”
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