Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …

Internet-enabled smartphones and ultra-wide displays are transforming a variety of visual
apps spanning from on-demand movies and 360° videos to video-conferencing and live …

The rapid worldwide spread of Coronavirus Disease 2019 (COVID-19) has resulted in a
global pandemic. Correct facemask wearing is valuable for infectious disease control, but …

Improvement of deep learning algorithms in smart agriculture is important to support the
early detection of plant diseases, thereby improving crop yields. Data acquisition for …

Inspection of insect sticky paper traps is an essential task for an effective integrated pest
management (IPM) programme. However, identification and counting of the insect pests …

Precision agriculture is considered to be a fundamental approach in pursuing a low-input,
high-efficiency, and sustainable kind of agriculture when performing site-specific …

In today's world, satellite images are being utilized for the identification of built-up area,
urban planning, disaster management, insurance & tax assessment in an area, and many …

Fine-grained visual classification can be addressed by deep representation learning under
supervision of manually pre-defined targets (eg, one-hot or the Hadamard codes). Such …

Deep neural networks are susceptible to adversarial attacks due to the accumulation of
perturbations in the feature level, and numerous works have boosted model robustness by …

This article proposes a new end-to-end deep super-resolution crack network (SrcNet) for
improving computer vision–based automated crack detectability. The digital images …