Results 31 to 40 of about 260,048 (97)

DP and DS-LCD: A New Lane Change Decision Model Coupling Driver’s Psychology and Driving Style

open access: yesIEEE Access, 2020
Lane-Changing Decision (LCD) behavior is complex, dangerous, and varied by the Driver's Psychology (DP) and Driving Style (DS). For lacking the consideration of DP and DS, the existing LCD models cannot predict the LCD process varying with the drivers ...
Zhihui Li   +4 more
doaj   +1 more source

Tracking Emotions Using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm

open access: yesIntelligent Computing
Owing to rapid advancements in artificial intelligence, the role of emotion recognition has become paramount in human–computer interaction. Traditional approaches often reduce this intricate task to a mere classification problem by relying heavily on ...
Fu-Ji Ren   +10 more
doaj   +1 more source

Marketing and Data Science: Together the Future is Ours

open access: yesGfK Marketing Intelligence Review, 2016
The synergistic use of computer science and marketing science techniques offers the best avenue for knowledge development and improved applications. A broad area of complementarity between the typical focus in statistics and computer science and that in ...
Chintagunta Pradeep   +2 more
doaj   +1 more source

Artificial Neural Network Based Optical Character Recognition [PDF]

open access: yes, 2012
Optical Character Recognition deals in recognition and classification of characters from an image. For the recognition to be accurate, certain topological and geometrical properties are calculated, based on which a character is classified and recognized.
arxiv   +1 more source

Grounding Psychological Shape Space in Convolutional Neural Networks [PDF]

open access: yesarXiv, 2021
Shape information is crucial for human perception and cognition, and should therefore also play a role in cognitive AI systems. We employ the interdisciplinary framework of conceptual spaces, which proposes a geometric representation of conceptual knowledge through low-dimensional interpretable similarity spaces. These similarity spaces are often based
arxiv  

BMI and WHR Are Reflected in Female Facial Shape and Texture: A Geometric Morphometric Image Analysis. [PDF]

open access: yesPLoS ONE, 2017
Facial markers of body composition are frequently studied in evolutionary psychology and are important in computational and forensic face recognition. We assessed the association of body mass index (BMI) and waist-to-hip ratio (WHR) with facial shape and
Christine Mayer   +3 more
doaj   +1 more source

Blind Image Deblurring: a Review [PDF]

open access: yesarXiv, 2022
This is a review on blind image deblurring. First, we formulate the blind image deblurring problem and explain why it is challenging. Next, we bring some psychological and cognitive studies on the way our human vision system deblurs. Then, relying on several previous reviews, we discuss the topic of metrics and datasets, which is non-trivial to blind ...
arxiv  

High-altitude cerebral oxygen saturation detection using wireless wearable cerebral oximeter

open access: yesFrontiers in Neurology
BackgroundHypobaric hypoxic conditions encountered at high altitudes can significantly impact the physiological functions of human body. Therefore, accurate and real-time monitoring of physiological characteristics is crucial for the prevention of brain ...
Juanning Si   +10 more
doaj   +1 more source

No Intentions in the Brain: A Wittgensteinian Perspective on the Science of Intention

open access: yesFrontiers in Psychology, 2019
In their paper “Why we may not find intentions in the brain,” Uithol et al. (2014) convincingly argue that “the processes underlying action initiation and control are considerably more dynamic and context sensitive than the concept of intention can allow
Annemarie Kalis
doaj   +1 more source

Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing [PDF]

open access: yesarXiv, 2022
Residual networks have shown great success and become indispensable in today's deep models. In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training strategy to strengthen the performance of residual networks.
arxiv  

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