Advanced artificial intelligence models and its applications
The field of artificial intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more.
Capital project management ; Vol.2 : Capital project finance
Describes the strategic challenge of adding real economic value, properly and rigorously defined. The author explains how this is accomplished through the capital budgeting process; discusses the importance of free cash flow and finally, capital projects, as financial options, are discussed, as a way to manage risk while enhancing the likelihood of project approval.
Capital project management ; Vol.1 : Capital project strategy
Tells the Tesla story and then presents chapters that address, in order: corporate governance and project stakeholder or communication management, project portfolios as strategic corporate portfolios, and an executive-level review of the best-practice project management paradigm, as applied to capital projects.
Asset Sales : Their Role in Restructuring and Financing Firms
Examines the corporate asset market and the mechanisms of asset sale transactions. The book then focuses on the theory of finance in asset sales (the efficiency and financing theory) and the extensive empirical literature now available. In light of recent and rapid technological and digital advances, the last section presents new perspectives on analyzing asset sales transactions. Chiefly intended as a primer for PhD students and academics, the book offers a road map of the empirical research landscape and suggests future research directions.



