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Nicht erlaubt im Dokumente-Bereich sind:
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- extremistische Werke, Zeitschriften und Comics (egal, welche Richtung)
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Nutzt den "Bedanken"-Button, bei Sammelthreads führen jegliche Kommentare, positiv wie negativ, sehr schnell zu einer Unübersichtlichkeit des Threads. Downmeldungen sind an den Uploader zu richten
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- Threadtitel
Idealerweise ist sofort zu erkennen um was es sich handelt. Verseht euren Titel mit den relevanten Informationen, das hilft euch und damit auch uns und allen Suchenden erheblich weiter.
Beispiel: [Thriller] Dan Brown - Inferno oder bei Magazinen:
Computerbild - 14/2014 (es muss ersichtlich sein, um welche Ausgabe und welches Magazin es sich handelt)
Folgende Präfixe stehen im Unterforum "Unterhaltung" zur Verfügung:
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Achtet bitte bei der Konvertierung der Formate auf die Lesbarkeit, ein epub, was nur einfach durch Calibre gejagt wird um ein PDF zu erhalten, ist zu 99% eben nicht lesbar. Wenn ihr es nicht könnt, dann lasst es besser oder lest euch ein, wie man es richtig macht.
Unterforum Comics:
Threadtitel:
Ähnlich, wie bei Unterhaltung und Magazinen, sollte der Titel alle relevanten Informationen enthalten, hier bitte
- den Titel des Comics
- den Verlag (einige Comics sind in verschiedenen Verlagen erschienen)
- das Erscheinungsjahr
Erlaubt sind folgende Formate:
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Bei Unsicherheiten zur korrekten Benennung bitte die Informationen von www.comicguide.de nutzen.
Inhalt des Beitrags:
Pflichtangaben hier sind:
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- falls bekannt Releasenamen
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Collection Download Ebooks Best Seller Updated Daily
Multi-objective Optimization Techniques in Engineering Applications:
Advanced Methods for Solving Complex Engineering Problems
English | 2025 | ISBN: 3031812360 | 545 Pages | PDF (True) | 11 MB
This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide for engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios.
Multi-valued Logic for Decision-Making Under Uncertainty
English | 2025 | ISBN: 3031747615 | 300 Pages | PDF EPUB (True) | 26 MB
The suggested implementation of multi-valued logics is based on the uninorm and absorbing norm with generating functions defined by probability distributions. Natural extensions of these logics result in non-commutative and non-distributive logics. In addition to Boolean truth values, these logics handle subjective truth and false values and model irrational decisions. Dynamics of decision-making are specified by the subjective Markov process and learning - by neural network with extended Tsetlin neurons. Application of the suggested methods is illustrated by modelling of irrational economic decisions and biased reasoning in the wisdom-of-the-crowd method, and by control of mobile robots and navigation of their groups.
Brian M. Conners, "Multiculturalism and Diversity in Applied Behavior Analysis: Bridging Theory and Application Ed 2"
English | ISBN: 1032514051 | 2024 | 184 pages | PDF | 4 MB
This textbook provides a theoretical and clinical framework for addressing multiculturalism and diversity in the field of applied behavior analysis (ABA).
Featuring contributions from national experts, practicing clinicians, researchers, and academics which balance both a scholarly and practical perspective, this book guides the reader through theoretical foundations to clinical applications to help behavior analysts understand the impact of diversity in the ABA service delivery model. This fully updated second edition includes updates applicable to the new BACB® Ethics Code for Behavior Analysts. Chapters contain case studies, practice considerations, and discussion questions to aid further learning. Accompanying the book is an online test bank for students and instructors to assess the knowledge they have learned about various diversity topics.
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Multidimensional Signals Processing, AI Methods and Applications
English | 2025 | ISBN: 9819791235 | 571 Pages | PDF (True) | 27 MB
This book contains new research works presented at the Third World Conference on Intelligent and 3D Technologies (WCI3DT2024), organized by IRNet International Academic Communication Center, held in Shanghai, China during May 24-26, 2024. The main topics in this volume cover contemporary parts in the area of the multidimensional signal processing, based on deep learning and related applications. Special attention is given to neural networks, which make up the backbone of deep learning algorithms and their improvement, and research works aimed at the real-time interaction with unmanned vehicles, machine translation, cloud computing, personalized product recommendation model for autonomous robots, power production monitoring and control, optimization and acceleration of machine learning algorithms, pattern recognition, building crack detection and many others.
Multidisciplinary Approach to Ectodermal Dysplasia
English | 2025 | ISBN: 3031757890 | 225 Pages | PDF EPUB (True) | 51 MB
Ectodermal Dysplasias (ED) are a diverse group of genetic disorders characterized by congenital defects of two or more ectodermal structures (e.g., sweat gland, tooth, nail, hair), that count about 100 different manifestations. Therefore, the multidisciplinary aspect is a novel but crucial approach to correctly diagnose and treat this kind of diseases and eventually direct patients to specialized centers. A new classification has been proposed as well as new therapeutic options, such as the first prenatal protein replacement therapy for a genetic disease, X-linked hypohidrotic ectodermal dysplasia. The chapters of this book address all relevant topics, starting with epidemiology and embryology, disease classification, molecular biology, EDA1-associated ED, WNT10A-related ED, and p63-related ED. A chapter on ED caused by defects of structural proteins is included and one specifically devoted to differential diagnoses. Specific chapters describe diagnostic assessments and treatment: odontostomatological signs and therapy, ophthalmological or otorhinolaringoiatric signs, other organ involvement, neurological and neuropsychological issues. The final part is dedicated to the most recent developments in molecular therapy and the extremely important role of parents' and patients' associations.
Multimodal and Tensor Data Analytics for Industrial Systems Improvement by Nathan Gaw, Panos M. Pardalos, Mostafa Reisi Gahrooei
English | May 17, 2024 | ISBN: 3031530918 | 404 pages | MOBI | 30 Mb
This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. The curated content presents recent developments and challenges in multimodal data analytics and shines a light on a pathway toward new research developments. Chapters are composed by eminent researchers and practitioners who present their research results and ideas based on their expertise. As data collection instruments have improved in quality and quantity for many applications, there has been an unprecedented increase in the availability of data from multiple sources, known as modalities. Modalities express a large degree of heterogeneity in their form, scale, resolution, and accuracy. Determining how to optimally combine the data for prediction and characterization is becoming increasingly important. Several research studies have investigated integrating multimodality data and discussed the challenges and limitations of multimodal data fusion. This volume provides a topical overview of various methods in multimodal data fusion for industrial engineering and operations research applications, such as manufacturing and healthcare.
Advancements in sensing technologies and the shift toward the Internet of Things (IoT) has transformed and will continue to transform data analytics by producing new requirements and more complex forms of data. The abundance of data creates an unprecedented opportunity to design more efficient systems and make near-optimal operational decisions. On the other hand, the structural complexity and heterogeneity of the generated data pose a significant challenge to extracting useful features and patterns for making use of the data and facilitating decision-making. Therefore, continual research is needed to develop new statistical and analytical methodologies that overcome these data challenges and turn them into opportunities.
Multimodal Data Fusion for Bioinformatics Artificial Intelligence
English | 2025 | ISBN: 1394269935 | 396 Pages | PDF | 16 MB
Multimodal Data Fusion for Bioinformatics Artificial Intelligence is an indispensable resource for those exploring how cutting-edge data fusion methods interact with the rapidly developing field of bioinformatics. Beginning with the basics of integrating different data types, this book delves into the use of AI for processing and understanding complex "omics" data, ranging from genomics to metabolomics. The revolutionary potential of AI techniques in bioinformatics is thoroughly explored, including the use of neural networks, graph-based algorithms, single-cell RNA sequencing, and other cutting-edge topics.
Multimodal Learning toward Recommendation
English | 2025 | ISBN: 303183187X | 163 Pages | PDF (True) | 13 MB
First, it presents a semantic-guided feature distillation method which employs a teacher-student framework to robustly extract effective recommendation-oriented features from generic multimodal features. Next, it introduces a novel multimodal attentive metric learning method to model user diverse preferences for various items. Then it proposes a disentangled multimodal representation learning recommendation model, which can capture users' fine-grained attention to different modalities on each factor in user preference modeling. Furthermore, a meta-learning-based multimodal fusion framework is developed to model the various relationships among multimodal information. Building on the success of disentangled representation learning, it further proposes an attribute-driven disentangled representation learning method, which uses attributes to guide the disentanglement process in order to improve the interpretability and controllability of conventional recommendation methods. Finally, the book concludes with future research directions in multimodal learning toward recommendation.
Multiparameter Flow Cytometry in the Diagnosis of Hematologic Malignancies
English | 2025 | ISBN: 1009419099 | 189 Pages | PDF | 14 MB
Master the implementation of flow cytometry techniques in diagnosing complex hematologic diseases and malignancies in patients with this comprehensive and practical guide. Featuring updated recommendations on pre-analytical steps, instrument settings and panel construction, this manual offers invaluable support for those diagnosing, treating and researching hematologic malignancies. Written by leading experts in the field, this book puts flow cytometry into everyday context. Through engaging with differential diagnoses, the manual offers an accurate description of specific features of malignancies and mimicking conditions. It also places flow cytometry in the scope of integrated diagnosis according to WHO and ICC classifications. Fully updated throughout, this second edition provides new literature and concepts, and presents new AI-based analytical methods. Richly illustrated and in full colour, this book is an ideal resource for those working in flow cytometry laboratories.
Michal Pavelka, "Multiscale Thermo-Dynamics: Introduction to GENERIC"
English | ISBN: 3110350947 | 2018 | 292 pages | EPUB, PDF | 20 MB + 2 MB
One common feature of new emerging technologies is the fusion of the very small (nano) scale and the large scale engineering. The classical environment provided by single scale theories, as for instance by the classical hydrodynamics, is not anymore satisfactory. The main challenge is to keep the important details while still be able to keep the overall picture and simplicity. It is the thermodynamics that addresses this challenge. Our main reason for writing this book is to explain such general viewpoint of thermodynamics and to illustrate it on a very wide range of examples.
Contents
Levels of description
Hamiltonian mechanics
Irreversible evolution
Reversible and irreversible evolution
Multicomponent systems
Contact geometry
Appendix: Mathematical aspects
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Multivariate Statistics: Classical Foundations and ModernMachine Learning
English | 2025 | ISBN: 1032758791 | 486 Pages | PDF EPUB (True) | 65 MB
This book explores multivariate statistics from both traditional and modern perspectives. The first section covers core topics like multivariate normality, MANOVA, discrimination, PCA, and canonical correlation analysis. The second section includes modern concepts such as gradient boosting, random forests, variable importance, and causal inference.
< Maciej Mikua, i>, Jagiellonian University<, "Municipal Magdeburg Law (Ius municipale Magdeburgense) in Late Medieval Poland A Study on the Evolution and Adaptation of Law"
English | 2021 | ISBN: 9004429670 | PDF | pages: 492 | 6.8 mb
Maciej Mikua analyses the Ius municipale Magdeburgense<\/i>, the most important collection of Magdeburg Law in late medieval Poland, and shows that the adaptation of Magdeburg Law was a complex process.
