Generative Reconstruction of Multimodal Cardiac Waveforms from a Single Vibrational Cardiography Sensor

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System, Life Sciences, Bioengineering,
cardiac monitoring   generative adversarial network   multimodal waveform   wearable sensor   vibrational cardiography   electrocardiography   non-invasive blood pressure  

Multimodal Cardiovascular Waveform Generation from a Single Vibrational Cardiography Sensor Background Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality worldwide, affecting hundreds of millions of patients each year and imposing a tremendous burden on global healthcare systems. According to literature, billions o...

Scaling of Hardware-Compatible Perturbative Training Algorithms

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
perturbative training   hardware compatibility   gradient estimation   stochastic gradient descent   neuromorphic hardware   machine learning   computational efficiency  

With the rapid development of artificial intelligence (AI) technology, artificial neural networks (ANNs) have achieved significant success in multiple fields. However, traditional neural network training methods—especially the backpropagation algorithm—face numerous challenges in hardware implementation. Although the backpropagation algorithm is ef...

2D Material Integrated Photonics: Toward Industrial Manufacturing and Commercialization

Physics, Optics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Semiconductors and Information Devices,
2D materials   integrated photonics   industrial manufacturing   commercialization   nanophotonics   optoelectronics   fabrication techniques  

Academic Background With the advent of the information age, integrated circuits (ICs) have become the driving force behind technological advancements. However, traditional integrated photonics platforms, such as silicon and silicon nitride, face numerous limitations in material properties. For instance, silicon’s indirect bandgap restricts its use ...

Fast Machine Learning for Building Management Systems

Engineering, Architecture and Civil Engineering, Electrical Engineering, Information Science, Artificial Intelligence,
Fast Machine Learning   Building Management Systems   Energy Forecasting   Hardware Accelerators   Building Automation  

Academic Background With the intensification of the global energy crisis and the increasing awareness of environmental protection, the intelligence and efficiency of Building Management Systems (BMS) have become a focal point in both academia and industry. Traditional BMS relies on rule-based control methods, which are unable to dynamically adapt t...

A Comprehensive Review of Machine Learning Applications for Internet of Nano Things: Challenges and Future Directions

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
Machine Learning   Internet of Nano Things   Data Security   Anomaly Detection   Nanoscale Communication  

Academic Background In recent years, the rapid development of nanotechnology and the Internet of Things (IoT) has given rise to a revolutionary field—the Internet of Nano Things (IoNT). The IoNT connects nanoscale devices to the internet, enabling them to play significant roles in areas such as agriculture, military, multimedia, and healthcare. How...