Recently, the entropic based multilevel threshold selection methods use 2D histogram,
which is constructed using the local averages, leading to a loss of edges. Further, the …

Micro-milling is an extensively used micro-machining process for producing high precision
3D components from varied materials. However, tool wear in micro-tools is a big concern, as …

It is a challenging task to devise an effective model for object segmentation considering
numerous classes because different classes might have different features and different …

In recent years, deep neural networks (DNNs) have provided high performances for various
tasks, such as human activity recognition (HAR), in view of their end-to-end training process …

Accepted: 25 May 2020 The brain MR image analysis is a primary non-invasive component
to detect any abnormality in the brain. It is a very important application in the field of medical …

Predicting 3D rotations from a single image presents a significant challenge, primarily due to
the inherent uncertainty arising from factors such as high symmetry, self-obscuration, and …

In graph embedding protection, deleting the embedding vector of a node does not
completely disrupt its structural relationships. The embedding model must be retrained over …

Water resource ecological safety is a key factor in regional economic and social
development. The comprehensive evaluation of water resource ecological safety is an …

In recent years, object detection in drone videos has garnered widespread attention.
Conventional image-based detectors have encountered a performance bottleneck for drone …

Traditional multislice iterative phase retrieval (MIPR) from snapshot two-dimensional
measurements suffers from the two limitations of pre-defined support and iterative …