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Air–ground integrated artificial intelligence of things with cognition-enhanced interference management
Integrated air–ground network enhances AIoT performance by improving spectral efficiency, achieving high-speed, stable network connectivity, and...
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Review of the Researches on Intelligent Situational Cognition
Situational cognition is the core link of combat command and decision-making. Presently, intelligent situational cognition technology has become the...
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Geometry and Cognition from the Foundations of Mathematics to Theories of Knowledge and Cognition
In 1999, in close collaboration with Jean Petitot and Bernard Teissier, the author of this text set up a scientific project titled Geometry and...
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Development of a human cognition inspired condition management system for equipment
Biomimicry is an approach for solving industrial challenges by studying similar cases in nature and emulating bio-organisms’ responses. Thus, it...
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Analysis of Heterogeneous Cooperative Unmanned System with System Engineering
The collaborative application of heterogeneous unmanned systems is one of the key development directions in the unmanned battlefield and civil field...
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GHQ: grouped hybrid Q-learning for cooperative heterogeneous multi-agent reinforcement learning
Previous deep multi-agent reinforcement learning (MARL) algorithms have achieved impressive results, typically in symmetric and homogeneous...
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Design Team Cognition Across Spaces and Cultures: An Exploratory Protocol Study
While historically the design team was almost always co-located, physically sharing the same space, tools, and systems, over the last few decades,...
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Why Abductive Cognition Goes Beyond Just Learning from Data
Abductive cognition refers to all kinds of reasoning to more or less deep hypotheses starting from data, both in humans and in AI machines, which are...
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Set-based visualization and enhancement of embedding results for heterogeneous multi-label networks
Heterogeneous networks are ubiquitous in the real-world, such as social networks and brain cell networks. Network embedding techniques have emerged...
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A Computational Intelligent Cognition System Under Uncertainty
It has been explored the conception of implementation the system of the most important systemic psychological function of the Computational Brain...
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Multiple heterogeneous network representation learning based on multi-granularity fusion
Heterogeneous network representation learning shows its superior capacity in complex network analysis. It aims to embed nodes into a low-dimensional...
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Communication-Aware Control of Large Data Transmissions via Centralized Cognition and 5G Networks for Multi-Robot Map merging
Multiple modern robotic applications benefit from centralized cognition and processing schemes. However, modern equipped robotic platforms can output...
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Distributed Formation Control and Collision Avoidance for Heterogeneous UAV Swarm
This paper proposes a formation and collision avoidance method for heterogeneous swarm consisting of Unmanned Aerial Vehicles (UAVs) with variable...
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Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum
A ball mill is a heavy mechanical device and its safe operation affects the entire grinding process. Mill load is a key index in the optimum...
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MGRL: attributed multiplex heterogeneous network representation learning based on multi-granularity information fusion
Nowadays, attributed multiplex heterogeneous network (AMHN) representation learning has shown superiority in many network analysis tasks due to its...
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Swarm Operation of Heterogeneous Electronic Countermeasure UAV in Denial Environment
In view of the demand of electronic countermeasures UAV swarm application in the rejection environment, this paper summarizes the progress of a...
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DIPy-AI: Brain-Cognition-Inspired DIKW Pyramid-Based Agile AI Architecture for Industrial Sensor Data Assimilation
The paper proposes DIPy-AI, an agile AI architecture based on the data-knowledge-information-wisdom (DIKW) pyramid, for processing sensor data in...
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Inclusion degree-based multigranulation rough fuzzy set over heterogeneous preference information and application to multiple attribute group decision making
The knowledge background and preference of decision-makers and interaction among criteria play an important role in actual multiple attribute group...
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Dynamical Systems Theory of Human Cognition and Theory of Situated Human Cognition
The author analyzes and evaluates, in the fifth chapter, the major criticism to the neo-mechanistic account presented by leading proponents of two...
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Example-Based Hybrid Higher-Order Neural Network Cognition Applied for Archive Translation
This paper constructs the basic principles and system structure of example-based hybrid higher-order neural network cognition for machine...