Tag: Aspect

Free Download Transactions on Aspect-Oriented Software Development VII: A Common Case Study for Aspect-Oriented Modeling by Shmuel Katz, Mira Mezini, Jörg Kienzle
English | PDF | 2010 | 436 Pages | ISBN : 3642160859 | 14.5 MB
– Those who want to learn about AOM ?nd in this special issue a concise collection of descriptions of solid and mature AOM approaches. They only have to take the time to understand one case study in order to appreciate the sample models shown in all papers. – Those who want to apply AOM for a particular purpose and are looking for the most appropriate AOM technique can use the papers presented in this specialissue to identify the mostpromisingapproach(es).By identifying similarities between their problem and the case study they should be able to determine candidate AOM approaches easily. – Those working on their own AOM approach can readily identify approaches that were able to handle concerns that their own approach is not able to handle elegantly. This stimulates cross-fertilization between approaches and collaborative research. – Thoseengineering researchersthat areworkingon enhancing softwaredev- opment processes can use the example models presented in this special issue to understand the potential bene?ts of using AOM techniques at di?erent phases of the software development life-cycle.

Free Download Recent Advances in Mathematical Aspect in Engineering by Rehmat Ellahi, Sadiq M. Sait and Huijin Xu
English | PDF | 2023 | 168 Pages | ISBN : 3036574905 | 5.6 MB
The present text is an edited Special Issue in reprint form. This Special Issue took the opportunity to invite researchers to contribute their latest original research findings, which were either advances in the state-of-the-art of mathematical methods, theoretical studies, or experimental studies that extend the bounds of existing methodologies to new contributions, addressing current challenges and engineering problems on "Recent Advances in Mathematical Aspect in Engineering". Although this reprint is not a formal textbook, it will definitely be useful for university teachers, research students and industrial researchers, and will assist in overcoming difficulties while dealing with the nonlinear governing equations of fluid mechanics, energy, heat transfer, steady and unsteady flow problems, nanofluids, thermodynamics, magnetohydrodynamics, peristaltic and blood flow. For nonlinear and coupled differential equations, it is often more difficult to achieve an analytic solution or even a numerical one. This reprint has successfully handled this challenging task with the techniques reported within. In addition, the findings of the simulations are logically realistic and meet the standard of sufficient scientific value.

Free Download Multi-aspect Learning: Methods and Applications
English | 2023 | ISBN: 3031335597 | 340 Pages | PDF EPUB (True) | 25 MB
This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field.

Free Download Ginny Smith, "Overloaded: How Every Aspect of Your Life is Influenced by Your Brain Chemicals "
English | ISBN: 1472969375 | 2023 | 336 pages | PDF | 17 MB
A NEW SCIENTIST BOOK OF THE YEAR