Titlebook: Applied Cognitive Science and Technology; Implications of Inte Sumitava Mukherjee,Varun Dutt,Narayanan Srinivasan Book 2023 The Editor(s) (

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書目名稱Applied Cognitive Science and Technology影響因子(影響力)




書目名稱Applied Cognitive Science and Technology影響因子(影響力)學(xué)科排名




書目名稱Applied Cognitive Science and Technology網(wǎng)絡(luò)公開度




書目名稱Applied Cognitive Science and Technology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Cognitive Science and Technology被引頻次




書目名稱Applied Cognitive Science and Technology被引頻次學(xué)科排名




書目名稱Applied Cognitive Science and Technology年度引用




書目名稱Applied Cognitive Science and Technology年度引用學(xué)科排名




書目名稱Applied Cognitive Science and Technology讀者反饋




書目名稱Applied Cognitive Science and Technology讀者反饋學(xué)科排名

PRISE

Defining the Relationship Between the Level of Autonomy in a Computer and the Cognitive Workload of en the computer and the user is complicated. The challenge in defining the correlation between an increase in the level of autonomy (LOA) of a computer and a corresponding decrease in the cognitive workload of the user makes it difficult to identify the return on investment for an implemented techno

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Exploring Cybercriminal Activities, Behaviors, and Profiles affect all areas of life including business, government, and individuals. To complement technology solutions to this problem, it is crucial to understand more about cybercriminal perpetrators themselves, their use of technology, psychological aspects, and profiles. This is a topic that has received

BRUNT

Computer Vision Technology: Do Deep Neural Networks Model Nonlinear Compositionality in?the?Brain’s the extent to which these models also capture relevant aspects of biological vision. It is notable that while the most prominent computer vision applications have involved recognizing individual objects in images, ecological visual scene understanding often requires the holistic processing of multip

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Assessment of Various Deep Reinforcement Learning Techniques in Complex Virtual Search-and-Retrieve here remains a dearth of understanding about how cutting-edge DRL algorithms, such as Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC), match up against human proficiency in demanding search-and-retrieve operations. Furthermore, there is a scarcity of structured assessments of the effi

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