With the development of intelligent networks such as the Internet of Things, network scales
are becoming increasingly larger, and network environments increasingly complex, which …

Recently, the advancements in the field of wireless technologies and micro-electro-
mechanical systems lead to the development of potential applications in wireless sensor …

Mapping a truncated optimization method into a deep neural network, deep proximal
unrolling network has attracted attention in compressive sensing due to its good …

Computer images consist of huge data and thus require more memory space. The
compressed image requires less memory space and less transmission time. Imaging and …

Incorporating deep neural networks in image compressive sensing (CS) receives intensive
attentions in multimedia technology and applications recently. As deep network approaches …

In many practical scenarios, image encryption should be implemented before image
compression. This leads to the requirement of compressing encrypted images. Compressed …

Approximate message passing-based compressive sensing reconstruction has received
increasing attention, the performance of which depends heavily on the ability of the …

Deep learning has recently been intensively studied in the context of image compressive
sensing (CS) to discover and represent complicated image structures. These approaches …

We present an end-to-end image compression system based on compressive sensing. The
presented system integrates the conventional scheme of compressive sampling (on the …

Underwater wireless sensor network (UWSN) comprises of large number of sensors and
underwater vehicles deployed collaboratively to perform data collection, interpretation and …