On abstract intelligence: Toward a unifying theory of natural, artificial, machinable, and computational intelligence
Y Wang - International Journal of Software Science and …, 2009 - igi-global.com
Abstract intelligence is a human enquiry of both natural and artificial intelligence at the
reductive embodying levels of neural, cognitive, functional, and logical from the bottom up …
reductive embodying levels of neural, cognitive, functional, and logical from the bottom up …
Using vehicles as fog infrastructures for transportation cyber-physical systems (T-CPS): Fog computing for vehicular networks
MDM Hussain, MMS Beg - International Journal of Software Science …, 2019 - igi-global.com
The advent of intelligent vehicular applications and IoT technologies gives rise to data-
intensive challenges across different architectural layers of an intelligent transportation …
intensive challenges across different architectural layers of an intelligent transportation …
Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering
Basic studies in denotational mathematics and mathematical engineering have led to the
theory of abstract intelligence (aI), which is a set of mathematical models of natural and …
theory of abstract intelligence (aI), which is a set of mathematical models of natural and …
Cognitive visual analytics of multi-dimensional cloud system monitoring data
Hardware virtualization has enabled large scale computational service delivery models with
high cost leverage and improved resource utilization on cloud computing platforms. This has …
high cost leverage and improved resource utilization on cloud computing platforms. This has …
A new MapReduce approach with dynamic fuzzy inference for big data classification problems
S Jin, J Peng, D Xie - … Journal of Cognitive Informatics and Natural …, 2018 - igi-global.com
Currently, big data and its applications have become one of the emergent topics. In practice,
MapReduce framework and its different extensions are the most popular approaches for big …
MapReduce framework and its different extensions are the most popular approaches for big …
IEEE ICCI* CC Series in Year 20: Latest Advances in Cognitive Computing (Plenary Panel Report-II)
Cognitive Computing (CC) is a contemporary field of fundamental intelligence theories and
general AI technologies triggered by the transdisciplinary development in intelligence …
general AI technologies triggered by the transdisciplinary development in intelligence …
Cognitive computing: Methodologies for neural computing and semantic computing in brain-inspired systems
Cognitive Computing (CC) is a contemporary field of studies on intelligent computing
methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine …
methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine …
Cognitive computing: Methodologies for neural computing and semantic computing in brain-inspired systems
Cognitive Computing (CC) is a contemporary field of studies on intelligent computing
methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine …
methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine …
Visualization of dynamic graphs
Y Wang - 2020 - theses.lib.polyu.edu.hk
A dynamic graph is built from a Cartesian set V (t)× E (t) where V (t) and E (t) denote the set
of vertices and edges at time t, respectively. Since changes often happen at massive local …
of vertices and edges at time t, respectively. Since changes often happen at massive local …
A Novel Approach With Dynamic Fuzzy Inference for Big Data Classification Problems
S Jin, J Peng - Innovations, Algorithms, and Applications in Cognitive …, 2020 - igi-global.com
Currently, big data and its applications have become emergent topics. To deal with the
uncertainty in data sets, fuzzy system-based models were explored and stand out for many …
uncertainty in data sets, fuzzy system-based models were explored and stand out for many …