The development of convolutional neural networks has promoted the progress of computer-aided
diagnostic systems. Details in medical image, such as the texture and tissue structure, …

In computer vision, the joint development of the algorithm and computing dimensions cannot
be separated. Models and algorithms are constantly evolving, while hardware designs must …

Interventions: The patient underwent resection of the pancreatic body and tail and splenectomy
via laparotomy to completely remove the tumor. Outcomes: The patient was discharged …

Accelerating Visual Neural Networks in Edge Computing environments is crucial for
processing image and video data. Visual Neural Networks, including Convolutional Neural …

We study fair multi-objective reinforcement learning in which an agent must learn a policy
that simultaneously achieves high reward on multiple dimensions of a vector-valued reward. …

Graph Neural Networks (GNNs) have seen considerable advancements across various
applications. However, the computationally and storage-intensive nature of GNNs presents …

Carbon aerogels (CAs) have garnered significant attention due to their multifunctional
applications. Biomass waste, abundantly generated by agriculture and industry, serves as a …

Solar-driven zero-liquid discharge (ZLD) is a promising wastewater management strategy for
freshwater recovery and solid waste harvesting. However, practical application of the solar-…

Since the convolutional neural network (CNN) was proposed, it has achieved remarkable
results in image recognition, and its accuracy rate surpasses other methods. In recent years, …

Accurate evaluation of the state of health (SOH) is crucial for ensuring the safe functioning
of lithium-ion batteries and maximizing their potential for usage and optimization. The deep …