Literature survey

About: Literature survey is a research topic. Over the lifetime, 15372 publications have been published within this topic receiving 459196 citations.

A framework for implementing TQM in higher education programs

Abstract: Purpose – This paper aims to provide a TQM framework that stresses continuous improvements in teaching as a plausible means of TQM implementation in higher education programs.Design/methodology/approach – The literature survey of the TQM philosophies and the comparative analysis of TQM adoption in industry versus higher education provide the theoretical and practical background for this work. The analysis of TQM in higher education was done considering various critical factors such as existing educational practices, the barriers of TQM and the return on investment (ROI) of TQM implementations. These explorations led to the development of a TQM framework that adopts Deming's wheel of Plan‐Do‐Check‐Act (PDCA) cycle for implementing continuous improvements in higher education programs.Findings – Unlike the scenario in industry, TQM philosophies have to be adapted suitably for a successful implementation in higher education. The proposed TQM framework with six core quality elements encompassing the seven‐step...

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Abstract: Since its renaissance, deep learning (DL) has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propelling us into the so-called artificial intelligence (AI) era. It is known that the success of AI is mostly attributed to the availability of big data with annotations for a single task and the advances in high-performance computing. However, medical imaging presents unique challenges that confront DL approaches. In this survey article, we first present traits of medical imaging, highlight both clinical needs and technical challenges in medical imaging, and describe how emerging trends in DL are addressing these issues. We cover the topics of network architecture, sparse and noisy labels, federating learning, interpretability, uncertainty quantification, and so on. Then, we present several case studies that are commonly found in clinical practice, including digital pathology and chest, brain, cardiovascular, and abdominal imaging. Rather than presenting an exhaustive literature survey, we instead describe some prominent research highlights related to these case study applications. We conclude with a discussion and presentation of promising future directions.

Chemically bonded phosphate ceramics: I, A dissolution model of formation

Abstract: This is the first of three papers in which the kinetics of formation of chemically bonded phosphate ceramics is discussed. A literature survey indicates that the formation of such ceramics is a three-step process. First, oxides dissolve in a phosphoric acid or an acid phosphate solution and metal ions are released into the solution. The aquoions formed from these cations then react with phosphate anions and form a gel of metal hydrophosphates. In the last step, the saturated gel crystallizes into a ceramic. In this paper, we have proposed that the dissolution is the controlling step and developed a general dissolution model of the kinetics of formation of these ceramics. As an example, the model is used to discuss the kinetics of formation of magnesium phosphate ceramics in detail. In the second and third papers, the model has been used to develop processes to form ceramics of alumina and iron oxides.