In a series of exquisite close readings of Arabic and Arab Jewish writing, Jeffrey Sacks considers the relation of poetic statement to individual and collective loss, the dispossession of peoples and languages, and singular events of destruction in the nineteenth, twentieth, and twenty-first centuries. Addressing the work of Mahmoud Darwish, Ahmad Faris al-Shidyaq, Elias Khoury, Edmond Amran El Maleh, Shimon Ballas, and Taha Husayn, Sacks demonstrates the reiterated incursion of loss into the time of life—losses that language declines to mourn. Language occurs as the iteration of loss, confounding its domestication in the form of the monolingual state in the Arabic nineteenth century’s fallout. Reading the late lyric poetry of the Palestinian poet Mahmoud Darwish in relation to the destruction of Palestine in 1948, Sacks reconsiders the nineteenth century Arabic nahda and its relation to colonialism, philology, and the European Enlightenment. He argues that this event is one of catastrophic loss, wherein the past suddenly appears as if it belonged to another time. Reading al-Shidyaq’s al-Saq ‘ala al-saq (1855) and the legacies to which it points in post-1948 writing in Arabic, Hebrew, and French, Sacks underlines a displacement and relocation of the Arabic word adab and its practice, offering a novel contribution to Arabic and Middle East Studies, critical theory, poetics, aesthetics, and comparative literature. Drawing on writings of Jacques Derrida, Walter Benjamin, Avital Ronell, Judith Butler, Theodor Adorno, and Edward W. Said, Iterations of Loss shows that language interrupts its pacification as an event of aesthetic coherency, to suggest that literary comparison does not privilege a renewed giving of sense but gives place to a new sense of relation.

This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.

This book constitutes the refereed joint proceedings of the Third International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2018, the Fourth International Workshop on Breast Image Analysis, BIA 2018, and the First International Workshop on Thoracic Image Analysis, TIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers (out of 10 submissions) presented at RAMBO, the 9 full papers (out of 18 submissions) presented at BIA, and the 20 full papers (out of 21 submissions) presented at TIA were carefully reviewed and selected. The RAMBO papers cover aspects of medical imaging where motion plays a role in the image formation or analysis. The BIA papers deal with topics such as computer-aided detection and diagnosis of breast cancer, quantitative analysis of breast imaging modalities, and large scale breast image screening and analysis. The TIA papers cover aspects of image analysis research for lung and cardiac diseases including segmentation, registration, quantification, modeling of the image acquisition process, visualization, validation, statistical modeling, biophysical lung modeling (computational anatomy), deep learning and novel applications.

This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm.

Providing an all-encompassing self-contained treatment of Near-Capacity Multi-Functional MIMO Systems , the book starts by categorizing the family of Multiple-Input Multiple-Output (MIMO) schemes as diversity techniques, multiplexing schemes, multiple access arrangements and beam-forming techniques. Sophisticated coherent and low-complexity non-coherent MIMO receivers dispensing with channel estimation are considered in both classic and cooperation-aided scenarios. It is demonstrated that in the presence of correlated shadow-fading, cooperation-assisted systems may be expected to outperform their non-cooperative counterparts. The book contains a 100-page chapter on the unified treatment of all block codes in the context of high-flexibility, cutting-edge irregular Linear Dispersion Codes (LDC), which approach the MIMO-capacity. The majority of the book’s solutions are in the optimum sphere-packing frame-work. Sophisticated amalgam of five year’s near-capacity MIMO research Detailed examination of wireless landscape, including the fields of channel coding, spacetime coding and turbo detection techniques Novel tool of Extrinsic Information Transfer Charts (EXIT) used to address recent developments Material presented logically, allowing advanced readers to turn directly to any specific chapter of interest One of the only books to cover these subjects, giving equal weighting to each

A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice