ABSTRACT A systematic literature review is a systematic method for identifying, evaluating,
and interpreting the work of scholars and practitioners in a chosen field. Its purpose is to …

Deep learning has become a popular tool for medical image analysis, but the limited
availability of training data remains a major challenge, particularly in the medical field where …

Research in the field of entrepreneurship has grown dramatically in the last decade and
currently covers a wide variety of topics and concerns. Development in the field of artificial …

Neural networks (NNs) are currently changing the computational paradigm on how to
combine data with mathematical laws in physics and engineering in a profound way …

Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …

Recent breakthroughs in natural language processing (NLP) have permitted the synthesis
and comprehension of coherent text in an open-ended way, therefore translating the …

Recent work in natural language processing (NLP) has yielded appealing results from
scaling model parameters and training data; however, using only scale to improve …

As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …