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Arab world, third world, backward societies, under-developed countries, unchanging realities: a political status quo whose legitimacy few of us could question until very recently when the riots of the Arab spring broke out and took the world unawares. A migrant from Morocco describes where unrest takes root and what soil renders the growing of freedom inevitable. Hady Hayat, the major character of this novel, begins his struggle in Morocco, his native land, and when he fails, he turns to Europe but finds little to pin hopes upon.
"Morocco in the image of Allah" is a historical novel; it reveals why Morocco is still under French rule. Morocco has, in fact, never existed as a state; this statement might shock many people, but there is history and there are those who have made it; one of them is General Lyautey, first governor of modern Morocco; when he first set foot on the land of the Moors in 1912, he said, "I've come to invent Morocco." Sultans, wielding power, bow to the challenge, to the bon mot; Amazigh, the Berber natives, frown and disapprove; they are right. France has come to invent Morocco without them, without their consent. Troubles spark off all over the country and soon turn into rebellion and revolt. Am...
This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.
Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various mod...
This volume, which highlights recent advances in statistical methodology and applications, is divided into two main parts. The first part presents theoretical results on estimation techniques in functional statistics, while the second examines three key areas of application: estimation problems in queuing theory, an application in signal processing, and the copula approach to epidemiologic modelling. The book’s peer-reviewed contributions are based on papers originally presented at the Marrakesh International Conference on Probability and Statistics held in December 2013.
This text offers an open-learning approach to Raman spectroscopy providing detail on instrumentation, applications and discussions questions throughout the book. It provides a valuable guide to assist with teaching Raman spectroscopy which is gaining attention in (analytical) chemistry, and as a consequence, teaching programs have followed. Today, education in Raman spectroscopy is often limited to theoretical aspects (e.g. selection rules), but practical aspects are usually disregarded. With these course notes, the author hopes to fill this gap and include information about Raman instrumentation and how it is interpreted. Provides a user-friendly text that tackles the theoretical background...
This report, first published in 1985, written by a distinguished group of legal and public policy experts, documents the growing trade in hazardous industries and toxic products. Hazard export threatens the health and environment of workers and ordinary citizens the world over. It is carried out by transnational corporations, in order to locate their most dangerous industrial activities outside the US, in countries where regulatory controls may be less strict. The issues represented here include occupational safety, environmental protection, international relations and problems of legal control. Attention is focused on the political and economic impact of hazard export on the US, Europe and developing countries, and the book’s critical analysis is addressed directly to the institutional level best suited to constructive action. This title will be of interest to students of business studies.
This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.
This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target which could be known a priori or arise from a model. The goal is to construct estimators with improved statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and spherically symmetric distributions. Chapter 1 reviews the statistical and decision theoretic terminology and results that will be used throughout the book. Chapter 2 is concerned with estimating the mean vector of a multivariate normal distribution under quadratic loss from a frequentist pers...
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