Gaining knowledge and actionable insights from complex, high-dimensional and
heterogeneous biomedical data remains a key challenge in transforming health care …

Fiber‐based structures are highly desirable for wearable electronics that are expected to be
light‐weight, long‐lasting, flexible, and conformable. Many fibrous structures have been …

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

Accurate and timely traffic flow information is important for the successful deployment of
intelligent transportation systems. Over the last few years, traffic data have been exploding …

In this work, we propose" Residual Attention Network", a convolutional neural network using
attention mechanism which can incorporate with state-of-art feed forward network …

Abstract The Human Metabolome Database or HMDB (https://hmdb. ca) has been providing
comprehensive reference information about human metabolites and their associated …

For the last two decades, intelligent transportation systems (ITS) have emerged as an
efficient way of improving the performance of transportation systems, enhancing travel …

Some patients with positive chest CT findings may present with negative results of real-time
reverse-transcription polymerase chain reaction (RT-PCR) tests for coronavirus disease …

Metallic zinc (Zn) has been regarded as an ideal anode material for aqueous batteries
because of its high theoretical capacity (820 mA hg–1), low potential (− 0.762 V versus the …

Rechargeable aqueous Zn/MnO2 battery chemistry in a neutral or mildly acidic electrolyte
has attracted extensive attention recently because all the components (anode, cathode, and …