AIMC Topic: Artificial Intelligence

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Locality Adaptive Discriminant Analysis Framework.

IEEE transactions on cybernetics
Linear discriminant analysis (LDA) is a well-known technique for supervised dimensionality reduction and has been extensively applied in many real-world applications. LDA assumes that the samples are Gaussian distributed, and the local data distribut...

Deep Learning Empowered Structural Health Monitoring and Damage Diagnostics for Structures with Weldment via Decoding Ultrasonic Guided Wave.

Sensors (Basel, Switzerland)
Welding is widely used in the connection of metallic structures, including welded joints in oil/gas metallic pipelines and other structures. The welding process is vulnerable to the inclusion of different types of welding defects, such as lack of pen...

Research on Architectural Planning and Landscape Design of Smart City Based on Computational Intelligence.

Computational intelligence and neuroscience
City brain is a complex system, including online center, server network, and system with given algorithm. The core of the city brain is the intelligent system. After putting the urban brain into the intelligent nerve center, on the basis of not chang...

Teaching Analysis for Visual Communication Design with the Perspective of Digital Technology.

Computational and mathematical methods in medicine
The turn of contemporary visual culture has led to the expansion of the connotation and scope of visual communication design (VCD) education, the generation of new artistic concepts and forms, and the great changes in the subject education system. VC...

Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection.

Computational and mathematical methods in medicine
OBJECTIVE: Measurement and monitoring of blood pressure are of great importance for preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore, there is a need for advanced artificial intelligence-based systolic and diast...

Application of multiple deep learning models for automatic burn wound assessment.

Burns : journal of the International Society for Burn Injuries
PURPOSE: Accurate assessment of the percentage of total body surface area (%TBSA) burned is crucial in managing burn injuries. It is difficult to estimate the size of an irregular shape by inspection. Many articles reported the discrepancy of estimat...

Flowing through laboratory clinical data: the role of artificial intelligence and big data.

Clinical chemistry and laboratory medicine
During the last few years, clinical laboratories have faced a sea change, from facilities producing a high volume of low-cost test results, toward a more integrated and patient-centered service. Parallel to this paradigm change, the digitalization of...

Social influences in the digital era: When do people conform more to a human being or an artificial intelligence?

Acta psychologica
The spread of artificial intelligence (AI) technologies in ever-widening domains (e.g., virtual assistants) increases the chances of daily interactions between humans and AI. But can non-human agents influence human beings and perhaps even surpass th...

Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology.

Sensors (Basel, Switzerland)
Digital histopathology poses several challenges such as label noise, class imbalance, limited availability of labelled data, and several latent biases to deep learning, negatively influencing transparency, reproducibility, and classification performa...