  Nanoflares are impulsive energy releases by magnetic reconnection in the
braided coronal magnetic field, which is a potential mechanism for heating the
corona. However, there are still sporadic observations of the interchange of
braiding structure segments and footpoints inside coronal loops, which is
predicted to be the morphological evolution of the reconnecting magnetic
bundles in the nanoflare picture. This work aims to detect the evolutions of
the pairs of braiding strands within the apparent single coronal loops observed
in Atmospheric Imaging Assembly (AIA) images. The loop strands are detected on
two kinds of upsampled AIA 193 \AA\ images, which are obtained by upscaling the
Point Spread Function matched AIA images via Bicubic interpolation and are
generated using a super-resolution convolutional neural network, respectively.
The architecture of the network is designed to map the AIA images to
unprecedentedly high spatial resolution coronal images taken by High-resolution
Coronal Imager (Hi-C) during its brief flight. At times, pairs of separate
strands that appear braided together later evolved into pairs of almost
parallel strands with completely exchanged parts. These evolutions offer
morphological evidence that magnetic reconnections between the braiding strands
have taken place, which is further supported by the appearance of transient hot
emissions containing significant high-temperature components (T > 5MK) at the
footpoints of the braiding structures. The brief appearances of the two
rearranging strands support that magnetic reconnections have occurred within
what appears to be a single AIA loop.
