Results 61 to 70 of about 117,332 (307)
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan+3 more
wiley +1 more source
Emotional Intelligence of Manageres
AbstractAppendix A. In the 21st century, it is insufficient to only possess high cognitive intelligence. More and more emphasis is put on the ability of managers to analyze their inner feelings, realize their own manifestation of emotions, as well as their strong will ability to have strong will.
Sedliacikova Mariana+2 more
openaire +2 more sources
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun+6 more
wiley +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar+10 more
wiley +1 more source
Emotions in Artificial Intelligence
This conceptual contribution offers a speculative account of how AI systems might emulate emotions as experienced by humans and animals. It presents a thought experiment grounded in the hypothesis that natural emotions evolved as heuristics for rapid situational appraisal and action selection, enabling biologically adaptive behaviour without requiring ...
openaire +2 more sources
Near‐infrared reservoir computing system has been realized by using α‐In2Se3 optoelectronic device with concise device and algorithm architecture, achieving high accuracy near 100% and noise robustness in face recognition tasks. These findings demonstrate 2D ferroelectric device‐based optoelectronic RC system as a compact and efficient computing ...
Wenyu Songlu+15 more
wiley +1 more source
CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng+4 more
wiley +1 more source
Inteligência emocional: da alexitimia ao controlo emocional.
The aim of the present study is to gain additional information about the relationship between emotional control and alexithymia, on one hand, and emotional intelligence on the other.
Ramiro Veríssimo
doaj +1 more source
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani+2 more
wiley +1 more source