The computer vision (CV) is an emerging area with sundry promises. This communication
encompasses the past development, recent trends and future directions of the CV in the …

Face recognition has long been an active research area in the field of artificial intelligence,
particularly since the rise of deep learning in recent years. In some practical situations, each …

Abstract Self-Driving Vehicles or Autonomous Driving (AD) have emerged as the prime field
of research in Artificial Intelligence and Machine Learning of late. The indicated market …

Face palsy has adverse effects on the appearance of a person and has negative social and
functional consequences on the patient. Deep learning methods can improve face palsy …

Fine-grained change detection in sensor data is very challenging for artificial intelligence
though it is critically important in practice. It is the process of identifying differences in the …

Manual classification of functional resting state networks (RSNs) derived from Independent
Component Analysis (ICA) decomposition can be labor intensive and requires expertise …

Zero-shot image recognition (ZSIR) aims at empowering models to recognize and reason in
unseen domains via learning generalized knowledge from limited data in the seen domain …

Although several studies have focused on the application of deep-learning techniques in
manufacturing processes, the lack of relevant datasets remains a major challenge. Hence …

Especially in manufacturing systems with small batches or customized products, as well as
in remanufacturing and recycling facilities, there is a wide variety of part types that may be …

Openly available community science digital vouchers provide a wealth of data to study
phenotypic change across space and time. However, extracting phenotypic data from these …