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Decision System in Agricultural Pest Management by Ali Rajabpour , Fatemeh Yarahmadi
English | EPUB (True) | 2024 | 360 Pages | ISBN : 9819715059 | 97.3 MB
This book covers the theoretical and practical aspects of pest population components, explaining the probable reasons for pest density fluctuations and outbreaks in agricultural or other ecosystems.

Agricultural pest management is a complex task that involves dealing with a variety of pests, including insects, diseases, and weeds. Decision systems can help farmers navigate this complexity by providing structured approaches to identify, monitor, and control pests. By making informed decisions based on data and models, farmers can reduce unnecessary pesticide applications, minimizing environmental impact and saving costs. This book aids in predicting pest outbreaks using population growth parameters and estimating economic crop losses through critical thresholds, illustrated with simple case studies. Additionally, the book covers image processing, remote sensing monitoring, and other novel methods for monitoring and quickly forecasting pest population outbreaks to developintegrated pest management (IPM) programs.
The book is valuable for agricultural and entomological students (graduates and postgraduates), researchers, as well as pest managers and farmers.
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[booksz]

Decolonizing Maasai History: A Path to Indigenous African Futures
by Meitamei Olol Dapash, Mary Poole
English | 2025 | ISBN: 1350427446 | 260 Pages | True PDF | 5.8 MB

In this book Maasai leader and activist Meitamei Dapash teams with historian Mary Poole to offer a new version of Maasai history based on Maasai memory and concerns. Through their rich and detailed narrative, we learn not only about the history of the Maasai as they understand it, but also about the relations between politics and Western history; about the untold history of Kenya both pre- and post-nationhood; about why the creation of nation-states is not synonymous with liberation; and about how and why Indigenous approaches to land obstruct global processes of resource extraction. All of this finds wider resonances that upend received narratives of post-"independence" Africa and offer new opportunities for the emancipation of Indigenous communities from neo-colonial regimes the world over.

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Deconstructing Your Faith without Losing Yourself By Angela J. Herrington
2024 | 196 Pages | ISBN: 0802883281 | EPUB | 1 MB
How to heal religious trauma by releasing harmful beliefs Have you experienced #ChurchHurt? Are you frustrated by judgmental church people supporting oppressive systems? Do you have doubts about the faith tradition you were raised in but are afraid of losing your community? Angela J. Herrington has been there. And with over a decade of experience as a life coach, she can teach you how to begin healing religious trauma through deconstruction. Lively and empathetic, Angela will gently guide you through deconstructing your faith. This concise and actionable handbook will * give you permission to trust yourself, * show you how to seek new perspectives and information, * teach you how to embrace vulnerable exploration and self-compassion, and * help you release unhealthy beliefs that are harming you and marginalized persons. Deconstructing your long-held beliefs can be isolating and overwhelming. But you don't have to do it alone. Begin your healing journey withDeconstructing Your Faith without Losing Yourself.

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Decoy: The gripping true crime story of one of Britain's most shocking and secretive historical undercover police operations
by Robert Murphy
English | 2024 | ISBN: 0008666814 | 304 Pages | True ePUB | 16.7 MB

The shocking true story of one of Britain's most secretive, groundbreaking and successful police covert operations
Bristol, 1979.
An attacker roams the streets...
Young women are warned not to go out alone...
Enter the Decoys.
For several years, a prolific predator haunted Bristol. Avon and Somerset Police had tried all their usual tactics to catch the 'Clifton Rapist', and public pressure was mounting.
In 1979, a daring new plan was introduced, unlike anything previously attempted by a UK police force. A small group of young female officers - some aged just 18 - put their lives on the line, walking the quiet residential roads late at night, acting as bait.
Drawing on in-depth research and first-hand interviews with the women at the heart of the operation, Decoy is a dramatic retelling of one of the most groundbreaking agent provocateur stings in British history.

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Dedicated to the Soul: The Writings and Drawings of Emma Jung by Emma Jung, edited by Thomas Fischer, Ann Conrad Lammers, Medea Hoch, translated by Ann Conrad Lammers, Alison Kappes-Bates
English | January 14, 2025 | ISBN: 0691253277 | True PDF | 432 pages | 77.9 MB
A richly illustrated collection of never-before-seen writings and drawings from the notebooks, portfolios, and personal papers of C. G. Jung's wife and collaborator

Emma Jung (1882-1955) was the life and work partner of one of the great intellectual figures of the twentieth century, yet she kept most of her creative and personal life private. Dedicated to the Soul brings together previously unpublished materials from Jung's private archive, introducing her voice into the literature of the early psychoanalytical movement and revealing a vibrant inner life and a glowing presence that until now was known only to her family and a handful of patients, students, and friends.
This fully annotated collection features journal entries, dream accounts, drawings, paintings, and lectures. It sheds new light on Jung as an early collaborator in the creation of analytical psychology who may have originated the concept of the animus, one of C. G. Jung's central constructs. It paints a riveting portrait of a dynamic woman who, determined to break free of the conventional world of her upbringing, fearlessly interrogated her social environment and developed her own systems of meaning.
With introductory essays that chart Jung's personal, intellectual, and psychological development, Dedicated to the Soul brings the creative work of this boldly imaginative and irreverent spirit to a wider audience and offers new perspectives on the role of women in the early history of analytical psychology.

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[booksz]

Deep House: The Gayest Love Story Ever Told
by Jeremy Atherton Lin
English | 2025 | ISBN: 0316545791 | 416 Pages | ePUB | 1.68 MB

From the National Book Critics Circle Award-winning author of Gay Bar comes a rule-breaking, sweat-soaked, genre-busting story of outlaw love.
It's 1996, and Jeremy Atherton Lin has met the boy of his dreams - a mumbling, starry-eyed Brit - just as, amid a media frenzy, US Congress prepares the Defense of Marriage Act, denying same-sex couples federal rights including immigration. The pair steals away to remote forests and vast deserts, London fashion shows and Berlin sex clubs, dinner parties, back alleys, East Village hotel rooms, and San Francisco dives. Finding no other way to stay together, they shack up illicitly among unlikely allies in a "city of refuge."
With Atherton Lin's inimitable blend of tenderness and wicked humor, Deep House moves through the couple's string of rented apartments while unlocking doors to a lineage of gay men who have come before - smuggling a foreign partner through national checkpoints or going public to stand up for the right to get down in the privacy of their own homes. They include hapless criminals, sexpot bartenders, friars, pirates, government workers who subverted the system, activists who went all the way to the Supreme Court, and the celebrated artist Felix Gonzalez-Torres.
Following Gay Bar - called "a rich tapestry" by Vanity Fair and "an absolute tour de force" by Maggie Nelson - Deep House juxtaposes whispered disclosures of undocumented domesticity with courtroom drama and political stunts to explore myriad forms of intimacy while questioning the mechanisms that legitimize love. Deep House is at once a historical kaleidoscope and the innermost tale of two boyfriends who made a home in the shadows of a turbulent civil rights battle.

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Deep Learning and XAI Techniques for Anomaly Detection: Integrate the theory and practice of deep anomaly explainability by Cher Simon
English | January 31, 2023 | ISBN: 180461775X | True EPUB/PDF | 218 pages | 12.9/16.1 MB
Create interpretable AI models for transparent and explainable anomaly detection with this hands-on guide

Key Features:
Build auditable XAI models for replicability and regulatory complianceDerive critical insights from transparent anomaly detection modelsStrike the right balance between model accuracy and interpretability
Book Description:
Despite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance.
Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that'll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and deep learning techniques described in this book, you'll discover how to successfully extract business-critical insights while ensuring fair and ethical analysis.
This practical guide will provide you with tools and best practices to achieve transparency and interpretability with deep learning models, ultimately establishing trust in your anomaly detection applications. Throughout the chapters, you'll get equipped with XAI and anomaly detection knowledge that'll enable you to embark on a series of real-world projects. Whether you are building computer vision, natural language processing, or time series models, you'll learn how to quantify and assess their explainability.
By the end of this deep learning book, you'll be able to build a variety of deep learning XAI models and perform validation to assess their explainability.
What You Will Learn:
Explore deep learning frameworks for anomaly detectionMitigate bias to ensure unbiased and ethical analysisIncrease your privacy and regulatory compliance awarenessBuild deep learning anomaly detectors in several domainsCompare intrinsic and post hoc explainability methodsExamine backpropagation and perturbation methodsConduct model-agnostic and model-specific explainability techniquesEvaluate the explainability of your deep learning models
Who this book is for:
This book is for anyone who aspires to explore explainable deep learning anomaly detection, tenured data scientists or ML practitioners looking for Explainable AI (XAI) best practices, or business leaders looking to make decisions on trade-off between performance and interpretability of anomaly detection applications. A basic understanding of deep learning and anomaly detection-related topics using Python is recommended to get the most out of this book.

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[booksz]

Deep Learning based Vehicle Detection in Aerial Imagery
by Lars Wilko Sommer
English | 2022 | ISBN: 3731511134 | 276 Pages | True PDF | 75 MB

This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.

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Deep Learning for Information Fusion and Pattern Recognition
by Yufeng Zheng, Erik Blasch
English | 2025 | ISBN: 3725830002 | 258 Pages | True PDF | 47 MB

There is a large amount of data from different types of sensors, for instance, multispectral electro-optical/infrared (EO/IR) and computed tomography/magnetic resonance (CT/MR) images, among others. How to take advantage of multimodal data for object detection and pattern recognition is an active field of research. Information fusion (IF) is used for enhancing the performance of pattern classification, while deep learning (DL) technologies, including convolutional neural networks (CNNs), are powerful tools for improving object detection, segmentation, and recognition. It is viable to combine DL and IF to boost the overall performance of pattern classification and target recognition. Such combinations of powerful techniques may exploit the deeply hidden features of the multimodal, spatial, or temporal data.This reprint presents cutting-edge research utilizing DL and IF techniques. Key research areas include image and video analysis, covering topics such as super-resolution, object detection, semantic segmentation, video captioning, and text processing, including labeling enhancement and screening misinformation. Biometric applications explore innovations in human identification using facial and finger vein recognition, facial micro-expression analysis, and fatigue detection. Advanced applications extend to handwritten recognition, tracking supermarket customer behavior, parcel sorting, predicting road surface conditions, and plastic waste classification.

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Deep Learning Technology and Image Sensing
by Sukho Lee, Dae-Ki Kang
English | 2024 | ISBN: 372582813X | 218 Pages | PDF | 31 MB

In this Special Issue, we explore the transformative power of deep learning-based computing technologies in improving the accuracy and reliability of image recognition systems. From advancing autonomous driving to enhancing object detection, deep learning continues to push the boundaries of what is achievable. Additionally, cutting-edge computer vision technologies enable precise medical imaging segmentation and improve image quality in challenging conditions, such as low-light environments and astronomical observations. Leading experts in the field present their latest research and innovations, offering a comprehensive view of the applications and future potential of deep learning in image and video sensing technologies. Together, we envision a future where artificial intelligence not only enhances our everyday devices but also redefines how we interact with technology and the world around us.

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J. Wolfgang Wägele, "Deep Metazoan Phylogeny: The Backbone of the Tree of Life: New insights from analyses of molecules, morphology, and theo"
English | ISBN: 3110277468 | 2014 | 761 pages | EPUB | 11 MB
The growing success of molecular methods has challenged traditional views of animal evolution and a large number of alternative hypotheses are hotly debated today. For the deep metazoan phylogeny project, data sets of hitherto unmatched quality and quantity were compiled and analysed with innovative bioinformatics tools. The book begins at the base of the tree of life to discuss the origin of animals and early branches of the phylogenetic tree. The following section presents special data sets gained from mitochondrial genomes and from morphology, with a focus on nervous systems. The final section is dedicated to theoretical aspects of data analysis and new bioinformatics tools. The book closes with a unique general discussion of all hypotheses contained in previous chapters. This work provides the most comprehensive overview available of the state of the art in this exciting field of evolutionary research.

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[booksz]

Deep Neural Networks in Medical Imaging
by Lucian Mihai Itu, Constantin Suciu
English | 2024 | ISBN: 3725825254 | 252 Pages | PDF | 28 MB

Medical Imaging plays a key role in disease management, starting from baseline risk assessment, diagnosis, staging, therapy planning, therapy delivery, and follow-up. Each type of disease has led to the development of more advanced imaging methods and modalities to help clinicians address the specific challenges in analyzing the underlying disease mechanisms. Researchers have been actively pursuing the development of advanced image analysis algorithms. These developments were driven by the need for a comprehensive quantification of structure and function across several imaging modalities such as Computed Tomography (CT), X-ray Radiography, Magnetic Resonance Imaging (MRI), Ultrasound, Nuclear Medicine Imaging, and Digital Pathology. Currently, deep learning has become the state-of-the-art machine learning technique, providing unprecedented performance for learning patterns in medical images and great promise for helping physicians during clinical decision-making processes. The aim of this work is to present and highlight novel methods, architectures, techniques, and applications of deep learning in medical imaging related to, but not limited to, the following topics: image reconstruction; image enhancement; segmentation; registration; computer-aided detection; image or view recognition; multi-task learning; transfer learning; generative learning; self-supervised learning; semi-supervised learning; weakly supervised learning; unsupervised learning; privacy preserving learning; explainability and interpretability; and robustness and out-of-distribution detection.

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Deep-Sea Mining and the Water Column: Advances, Monitoring and Related Issues by Rahul Sharma
English | EPUB (True) | 2024 | 600 Pages | ISBN : 3031590597 | 138 MB
This book focuses on general issues of deep-sea mining for seafloor mineral deposits, as well as the scientific, technical, legal and policy issues related to impacts on the water column. The topic is a growing area of significance due to the ongoing conversations on this issue in the world community, in view of the large-scale consequences resulting from operations of different components of deep-sea mining systems. The chapters are divided in five sections, and are contributed by highly acclaimed scientists, technologists, lawyers and administrators who have decades of experience working on these topics. The information compiled in the book is expected to serve as an important reference for all stakeholders including researchers, contractors, mining companies, regulators and NGOs involved in deep-sea mining and marine environmental conservation.

Section 1 provides an overall view of the current status of deep-sea mining and issues related to the water column. Section 2 looks at the engineering considerations for technology related to mining, handling of bulk solids in the marine environment, transporting the ores from seabed to shore as well as processing of deep-sea minerals. Section 3 discusses various approaches for assessment of impacts of deep-sea mining on the water column. Section 4 assesses the chemical, physical and biological characteristics of the water column in different oceans of the world. Finally, section 5 deals with legal, policy and economic aspects of deep-sea mining.
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deepfake by Alex Schuler, Leigh Ritter
English | January 7, 2025 | ISBN: 1646307879, 164630537X | True EPUB | 356 pages | 1.6 MB
A thriller about the power of technology to weaponize our darkest instincts.

A brilliant loner, Etta Baldwin, 17, has been surviving in the underground of Berlin since she fled from foster care four years ago, using her self-taught computer skills to support herself. She has a favorite café where she works, and she sleeps in abandoned buildings throughout the city.
When the charismatic Lulu walks into her life, Etta lets her guard down and goes with Lulu to meet her "family." The V live in a derelict amusement park, where father-figure Milan provides all the guidance and care his followers need. Etta finds acceptance and love, and lends her hacking skills and deepfake manipulations to the group's subversive activities.
But as violence and chaos spread because of the manufactured reality created by her videos, she starts to question Milan's true intentions, and the allure of the V begins to wear off.
With the world tumbling toward war, Etta tries to stop the juggernaut she has created . . . and finds herself in the crosshairs of the people she had come to think of as family.

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Deepwater Geohazards in the South China Sea by Shiguo Wu , Yunbao Sun , Qingping Li , Jiliang Wang , Dawei Wang , Qiliang Sun , Chuanxu Chen , Yangbing Xie
English | EPUB (True) | 2024 | 306 Pages | ISBN : 9819996910 | 157 MB
This book comprehensively analyzes and summarizes the types, characteristics and prevention of deep-sea geological disasters in the South China Sea based on the research progress of global background. It also brings attention to the general public and stakeholders the risks of deep-sea geological disasters.

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