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检索条件"机构=School of Engineering in Computing and Informatics"
4441 条 记 录,以下是211-220 订阅
"Socially Assistive Robot Privacy Model": A Multi-model Approach to Evaluating Socially Assistive Robot Privacy Concerns  16th
"Socially Assistive Robot Privacy Model": A Multi-model Appr...
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16th International Conference on Social Robotics, ICSR + AI 2024
作者: Collins, Sawyer Stanojević, Čedomir Bennett, Casey Henkel, Zachary Henkel, Kenna Baugus Abbott, Nikki M. Bethel, Cindy L. Śabanović, Selma Luddy School of Informatics Computing and Engineering Indiana University Bloomington BloomingtonIN United States College of Behavioral Social and Health Sciences Clemson University ClemsonSC United States College of Computing and Digital Media DePaul University ChicagoIL United States Department of Computer Science and Engineering Mississippi State University StarkvilleMS United States
As socially assistive robots (SARs) enter more diverse care settings, including users’ homes, it is critical to identify the shifting privacy risks and dimensions of privacy this technology and its data collection ca... 详细信息
来源: 评论
Tangles in IOTA to make crypto currency transactions free and secure
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International Journal of Cloud computing 2022年 第1期11卷 1-13页
作者: Anakath, A.S. Kannadasan, R. Prabakaran, N. Basha, M.S. Saleem Department of MCA EGS Pillai Engineering College Nagapattinam 611002 India School Computer Science and Engineering Vellore Institute of Technology Vellore632014 India Department of Computing and Informatics Mazoon College Muscat133 Oman
Blockchain introduction has made a revolutionary change in the crypto currency around the world but it has not delivered on its promises of free and faster transaction confirmation. Serguei Popov's proposal of usi... 详细信息
来源: 评论
Autonomous Mapless Navigation on Uneven Terrains
arXiv
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arXiv 2024年
作者: Jardali, Hassan Ali, Mahmoud Liu, Lantao Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States
We propose a new method for autonomous navigation in uneven terrains by utilizing a sparse Gaussian Process (SGP) based local perception model. The SGP local perception model is trained on local ranging observation (p... 详细信息
来源: 评论
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
arXiv
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arXiv 2024年
作者: Chen, Weizhe Liu, Lantao Khardon, Roni Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States
Gaussian Process (GP) models are widely used for Robotic Information Gathering (RIG) in exploring unknown environments due to their ability to model complex phenomena with non-parametric flexibility and accurately qua... 详细信息
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A Feasible Compression Scheme for Bangla Natural Text
A Feasible Compression Scheme for Bangla Natural Text
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2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023
作者: Mahmood, Md. Ashiq Amin, Md Ashiqul Nandi, Pallab Kumar Mondal, Bishwajit Kumar Institute of Information and Communication Technology Khulna University of Engineering & Technology Khulna Bangladesh School of Informatics Computing and Cyber System Northern Arizona University AZ United States
The most significant zone of study for Natural Language Processing (NLP) is text compression. Since the number of characters in Unicode are many, 16 bits are needed to process the entire code. This study suggests a us... 详细信息
来源: 评论
Context-Generative Default Policy for Bounded Rational Agent
arXiv
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arXiv 2024年
作者: Pushp, Durgakant Xu, Junhong Chen, Zheng Liu, Lantao The Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States
Bounded rational agents often make decisions by evaluating a finite selection of choices, typically derived from a reference point termed the ‘default policy,’ based on previous experience. However, the inherent rig...
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C2DA: Contrastive and Context-aware Domain Adaptive Semantic Segmentation
arXiv
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arXiv 2024年
作者: Khan, Md Al-Masrur Chen, Zheng Liu, Lantao Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States
Unsupervised domain adaptive semantic segmentation (UDA-SS) aims to train a model on the source domain data (e.g., synthetic) and adapt the model to predict target domain data (e.g. real-world) without accessing targe... 详细信息
来源: 评论
CORRECTIVE MAINTENANCE TIME MODEL OF THE 2-PARALLEL CONFIGURATION OF THE EARTH STATION SYSTEM USING CURVE FITTING  51
CORRECTIVE MAINTENANCE TIME MODEL OF THE 2-PARALLEL CONFIGUR...
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51st International Conference on Computers and Industrial engineering, CIE 2024
作者: Kamaruddin, Nur Fatin Syamimi Rahim, Nadirah Abdul Mansor, Mahayaudin M. Department of Electrical and Computer Engineering International Islamic University Malaysia Jalan Gombak Kuala Lumpur Malaysia School of Mathematical Sciences College of Computing Informatics and Mathematics Universiti Teknologi MARA Shah Alam Malaysia
An Earth station system serves as a key hub in the ever-changing environment of satellite communication technology, allowing uninterrupted data interchange between the Earth and orbiting satellites. These systems are ... 详细信息
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Visual-Geometry GP-based Navigable Space for Autonomous Navigation
arXiv
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arXiv 2024年
作者: Ali, Mahmoud Pushp, Durgkant Chen, Zheng Liu, Lantao The Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States
Autonomous navigation in unknown environments is challenging and demands the consideration of both geometric and semantic information in order to parse the navigability of the environment. In this work, we propose a n... 详细信息
来源: 评论
Generating Descriptive Explanations of Machine Learning Models Using LLM
Generating Descriptive Explanations of Machine Learning Mode...
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IEEE International Conference on Big Data
作者: Andrew Pang Hyeju Jang Shiaofen Fang Horace Greeley High School NY Luddy School of Informatics Computing and Engineering Indiana University Indianapolis
Machine learning algorithms play a pivotal role in a wide range of Artificial Intelligence (AI) applications. Explaining the results and behavior of a machine learning model, however, remains a challenge. In this pape... 详细信息
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