Results 31 to 40 of about 297,292 (254)
Goal Recognition through Goal Graph Analysis
We present a novel approach to goal recognition based on a two-stage paradigm of graph construction and analysis. First, a graph structure called a Goal Graph is constructed to represent the observed actions, the state of the world, and the achieved goals as well as various connections between these nodes at consecutive time steps. Then,
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Neuronal chains for actions in the parietal lobe: a computational model. [PDF]
The inferior part of the parietal lobe (IPL) is known to play a very important role in sensorimotor integration. Neurons in this region code goal-related motor acts performed with the mouth, with the hand and with the arm.
Fabian Chersi +2 more
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The purpose of this paper is to enrich the decision preference information inconsistency check and adjustment method in the context of capacity-based multiple criteria decision making.
Jian-Zhang Wu +3 more
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The object of research is the methods of handwriting recognition. The article reviews the basic principles of optical recognition. The aim of the work is to present an algorithm for text recognition in the image, which has high accuracy with a small ...
О. Польшакова +1 more
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Deceptive Path Planning via Count-Based Reinforcement Learning under Specific Time Constraint
Deceptive path planning (DPP) aims to find a path that minimizes the probability of the observer identifying the real goal of the observed before it reaches.
Dejun Chen +5 more
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Near-miss recognition is an increasingly important area of research in safety management. Drawing on the self-determination theory, we ask whether and how safety-specific transformational leadership and safety-specific active transactional leadership ...
Hongxu Lu +4 more
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Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models
The advancements in neural networks and the on-demand need for accurate and near real-time Speech Emotion Recognition (SER) in human–computer interactions make it mandatory to compare available methods and databases in SER to achieve feasible solutions ...
Babak Joze Abbaschian +2 more
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Acoustic model topology optimization for large vocabulary speech recognition [PDF]
Acoustic model topology selection work in constructing large vocabulary speech recognition systems is being done empirically or heuristically. In this paper, we propose two improved algorithms, which are based on Genetic Algorithm (GA) and Particle Swarm
Bao Xirimo, Ning Chunmei
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Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
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Parsing-Based Recognition of Hierarchical Plans Using the Grammar Constraint
Plan recognition is the problem of recognizing a goal task and an agent’s plan based on the observed actions. Plan recognition techniques can be employed in multiagent systems, behaviour recognition, computer security, and other fields related to ...
Kristýna Pantůčková +2 more
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