AIMC Topic: Artificial Intelligence

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An Optical Fiber Sensing Method for Measuring the Surface Flatness of an Object.

Computational intelligence and neuroscience
Sensing of data or object is a mature research domain where intelligent devices, may possibly be embedded with the artificial intelligence-based techniques, are placed in the closed vicinity of the object or phenomenon. This sensing activity becomes ...

A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level.

Journal of dentistry
OBJECTIVES: Bone level as measured by clinical attachment levels (CAL) are critical findings that determine the diagnosis of periodontal disease. Deep learning algorithms are being used to determine CAL which aid in the diagnosis of periodontal disea...

Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.

BMC medical informatics and decision making
BACKGROUND: A disease severity classification system is widely used to predict the survival of patients admitted to the intensive care unit with different diagnoses. In the present study, conventional severity classification systems were compared wit...

Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning.

Computational intelligence and neuroscience
In many living phenomena, the behavior of social animals (such as ants, fish stocks, and birds) has attracted great attention, and many theories and models have emerged to simulate the behavior of biological communities. These studies are important i...

Cognitive Analysis of Pragmatic Functions of Discourse Markers in Spoken English in the Context of Computational Intelligence.

Journal of environmental and public health
To improve the level of oral English teaching, improve students' oral communicative competence (OCA), and promote successful communication with native English speakers, this study studies the pragmatic function of dialogue markers and constructs the ...

Object recognition in medical images via anatomy-guided deep learning.

Medical image analysis
PURPOSE: Despite advances in deep learning, robust medical image segmentation in the presence of artifacts, pathology, and other imaging shortcomings has remained a challenge. In this paper, we demonstrate that by synergistically marrying the unmatch...

Revealing the real-time diversity and abundance of small mammals by using an Intelligent Animal Monitoring System (IAMS).

Integrative zoology
It is challenging to reveal the real-time spatio-temporal change of diversity and abundance of animals in natural systems by using traditional methods. The rapid advancement of new technologies such as the Internet of Things, artificial intelligence,...

Artificial Intelligence in Meta-optics.

Chemical reviews
Recent years have witnessed promising artificial intelligence (AI) applications in many disciplines, including optics, engineering, medicine, economics, and education. In particular, the synergy of AI and meta-optics has greatly benefited both fields...

Sharing Rewards Undermines Coordinated Hunting.

Journal of computational biology : a journal of computational molecular cell biology
Coordinated hunting is widely observed in animals, and sharing rewards is often considered a major incentive for its success. While current theories about the role played by sharing in coordinated hunting are based on correlational evidence, we revea...