AIMC Topic: Humans

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Application of artificial intelligence techniques for automated detection of myocardial infarction: a review.

Physiological measurement
Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals worldwide. To diagnose MI, clinicians need to interpret electrocardiog...

Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI.

IEEE transactions on neural networks and learning systems
Accurate prediction of clinical scores (of neuropsychological tests) based on noninvasive structural magnetic resonance imaging (MRI) helps understand the pathological stage of dementia (e.g., Alzheimer's disease (AD)) and forecast its progression. E...

Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems.

IEEE transactions on neural networks and learning systems
The human brain is the gold standard of adaptive learning. It not only can learn and benefit from experience, but also can adapt to new situations. In contrast, deep neural networks only learn one sophisticated but fixed mapping from inputs to output...

Massive-Scale Aerial Photo Categorization by Cross-Resolution Visual Perception Enhancement.

IEEE transactions on neural networks and learning systems
Categorizing aerial photographs with varied weather/lighting conditions and sophisticated geomorphic factors is a key module in autonomous navigation, environmental evaluation, and so on. Previous image recognizers cannot fulfill this task due to thr...

Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models.

IEEE transactions on neural networks and learning systems
Ensembles are a widely implemented approach in the machine learning community and their success is traditionally attributed to the diversity within the ensemble. Most of these approaches foster diversity in the ensemble by data sampling or by modifyi...

Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns.

IEEE transactions on neural networks and learning systems
Biological systems under a parallel and spike-based computation endow individuals with abilities to have prompt and reliable responses to different stimuli. Spiking neural networks (SNNs) have thus been developed to emulate their efficiency and to ex...

Enabling Artificial Intelligence of Things (AIoT) Healthcare Architectures and Listing Security Issues.

Computational intelligence and neuroscience
A significant study has been undertaken in the areas of health care and administration of cutting-edge artificial intelligence (AI) technologies throughout the previous decade. Healthcare professionals studied smart gadgets and other medical technolo...

Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia.

PeerJ
Assessing the numbers and distribution of at-risk megafauna such as the black rhino () is key to effective conservation, yet such data are difficult to obtain. Many current monitoring technologies are invasive to the target animals and expensive. Sat...