Results 31 to 40 of about 943,897 (165)
With the continuous expansion of the scale of cloud datacenters, high energy consumption has become a problem. Virtual machine (VM) consolidation is an effective method of energy management, but overly aggressive consolidation has caused issues such as ...
Yifan Shao +5 more
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Innovating for Society: Foundations in Computer and Information Science and Engineering [PDF]
Comment: 50 ...
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Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation
In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exercise recognition using sensor data. It consists of two novel components: a dynamic convolutional neural network (D-CNN) and a state transition probability
Zheng-An Zhu +3 more
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Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
Neural backdoors represent insidious cybersecurity loopholes that render learning machinery vulnerable to unauthorised manipulations, potentially enabling the weaponisation of artificial intelligence with catastrophic consequences.
Ching-Chun Chang +5 more
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Layer-Level Knowledge Distillation for Deep Neural Network Learning
Motivated by the recently developed distillation approaches that aim to obtain small and fast-to-execute models, in this paper a novel Layer Selectivity Learning (LSL) framework is proposed for learning deep models.
Hao-Ting Li +3 more
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The role of information in science and society
When the Akademische Verlagsgesellschaft was founded in Leipzig a hundred years ago today, on 4 April 1906, all was still right with the world as seen by publishers. The role of information for science and society was firmly established: the key medium was the book; the circle of buyers and users was clearly defined, and the market was undergoing ...
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Netizens' demand for popular science could be seen as one important social representation of the public demand for science popularization in the information age.
Liming Wang, Qi Zhong
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YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories
Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications including transportation modeling, disaster management, and urban planning.
Takahiro Yabe +6 more
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The aim of this article is to develop an interdisciplinary approach to knowledge domains through dialogues between domain analysis, the sociology of knowledge and the socio-anthropological approach to information.
Regina Maria Marteleto
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Information Society, E-Records and the New Archival Science
The study shows how information society is reflected in e-records (volatility, dynamism, mixed private and public spheres), how it transformed the records themselves (no physical aspect, complicated structure, separated elements), and how it conquered the human memory.
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