- Table View
- List View
Deep Cognitive Networks: Enhance Deep Learning by Modeling Human Cognitive Mechanism (SpringerBriefs in Computer Science)
by Yan Huang Liang WangAlthough deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Many researchers argue that one of the major reasons accounting for the performance gap is that deep learning models and the human cognitive system process visual information in very different ways. To mimic the performance gap, since 2014, there has been a trend to model various cognitive mechanisms from cognitive neuroscience, e.g., attention, memory, reasoning, and decision, based on deep learning models. This book unifies these new kinds of deep learning models and calls them deep cognitive networks, which model various human cognitive mechanisms based on deep learning models. As a result, various cognitive functions are implemented, e.g., selective extraction, knowledge reuse, and problem solving, for more effective information processing. This book first summarizes existing evidence of human cognitive mechanism modeling from cognitive psychology and proposes a general framework of deep cognitive networks that jointly considers multiple cognitive mechanisms. Then, it analyzes related works and focuses primarily but not exclusively, on the taxonomy of four key cognitive mechanisms (i.e., attention, memory, reasoning, and decision) surrounding deep cognitive networks. Finally, this book studies two representative cases of applying deep cognitive networks to the task of image-text matching and discusses important future directions.
Deep Comprehension: Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension
by Keith K. Millis Debra Long Joseph Magliano Katja WiemerThis volume provides an overview of research from the learning sciences into understanding, enhancing, and measuring "deep comprehension" from a psychological, educational, and psychometric perspective. It describes the characteristics of deep comprehension, what techniques may be used to improve it, and how deep levels of comprehension may be distinguished from shallow ones. It includes research on personal-level variables; how intelligent tutors promote comprehension; and the latest developments in psychometrics. The volume will be of interest to senior undergraduate and graduate students of cognitive psychology, learning, cognition and instruction, and educational technology.
Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy (Series in BioEngineering)
by A. Shanthini Gunasekaran Manogaran G. VadivuThis book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.
Deep Dive
by Ron WaltersWhen your reality shatters, what will you do to put it back together again?Still reeling from the failure of his last project, videogame developer Peter Banuk is working hard to ensure his next game doesn&’t meet the same fate. He desperately needs a win, not only to save his struggling company, but to justify the time he&’s spent away from his wife and daughters.So when Peter&’s tech-genius partner offers him the chance to beta-test a new state-of-the-art virtual reality headset, he jumps at it. But something goes wrong during the trial, and Peter wakes to find himself trapped in an eerily familiar world where his children no longer exist.As the lines between the real and virtual worlds begin to blur, Peter is forced to reckon with what truly matters to him. But can he escape his virtual prison before he loses his family forever?File Under: Science Fiction [ Game Grumps | Whole New Virtual World | Headset Havoc | Lost and Found ]
Deep Down Dark: The Untold Stories of 33 Men Buried in a Chilean Mine, and the Miracle that Set Them Free
by Héctor TobarWhen the San José mine collapsed outside of Copiapó, Chile, in August 2010, it trapped thirty-three miners beneath thousands of feet of rock for a record-breaking sixty-nine days. The entire world watched what transpired above-ground during the grueling and protracted rescue, but the saga of the miners' experiences below the Earth's surface--and the lives that led them there--has never been heard until now. For Deep Down Dark, the Pulitzer Prize-winning journalist Héctor Tobar received exclusive access to the miners and their tales. These thirty-three men came to think of the mine, a cavern inflicting constant and thundering aural torment, as a kind of coffin, and as a church where they sought redemption through prayer. Even while still buried, they all agreed that if by some miracle any of them escaped alive, they would share their story only collectively. Héctor Tobar was the person they chose to hear, and now to tell, that story. The result is a masterwork of narrative journalism--a riveting, at times shocking, emotionally textured account of a singular human event. Deep Down Dark brings to haunting, tactile life the experience of being imprisoned inside a mountain of stone, the horror of being slowly consumed by hunger, and the spiritual and mystical elements that surrounded working in such a dangerous place. In its stirring final chapters, it captures the profound way in which the lives of everyone involved in the disaster were forever changed.
Deep Energy Retrofit: A Guide to Achieving Significant Energy Use Reduction with Major Renovation Projects (Springerbriefs In Applied Sciences And Technology Ser.)
by Alexander Zhivov Rüdiger LohseThis book provides detailed information on how to set up Deep Energy Retrofits (DERs) in public buildings, and shares in-depth insights into the current status of the major technologies, strategies and best practice examples of how to cost-effectively combine them. Case studies from the U.S.A. and Europe show that that Deep Energy Retrofit can be achieved with a limited core technologies bundle readily available on the market. Characteristics of some of these core technology measures depend on the technologies available on an individual nation’s market, on the minimum requirements of national standards, and on economics (as determined by a life cycle cost analysis). Also, requirements to building envelope-related technologies (e.g., insulation levels, windows, vapor and water barriers, and requirements for building airtightness) depend on specific climate conditions. This Guide provides best practice examples of how to apply these technologies in different construction situations.High levels of energy use reduction using core technology bundles along with improvements in indoor climate and thermal comfort can be only achieved when a Deep Energy Retrofit adopts a quality assurance process. In addition to design, construction, commissioning, and post-occupancy phases of the quality assurance process, the Guide emphasizes the importance of clearly and concisely formulating and documenting the Owner’s goals, expectations, and requirements for the renovated building during development of the statement of work. Another important component of the quality assurance process is a procurement phase, during which bidders’ qualifications, their understanding of the scope of work and its requirements, and their previous experience are analyzed.The building sector holds the potential for tremendous improvements in terms of energy efficiency and reducing carbon emissions, and energy retrofits to the existing building stock represent a significant opportunity in the transition to a low-carbon future. Moreover, investing in highly efficient building materials and systems can replace long-term energy imports, contribute to cost cutting, and create a wealth of new jobs. Yet, while the technologies needed in order to improve energy efficiency are readily available, significant progress has not yet been made, and “best practices” for implementing building technologies and renewable energy sources are still relegated to small “niche” applications.Offering essential information on Deep Energy Retrofits, the book offers a valuable asset for architects, public authorities, project developers, and engineers alike.
Deep Energy Retrofit Guide for Public Buildings: Business and Financial Models (SpringerBriefs in Applied Sciences and Technology)
by Rüdiger Lohse Alexander ZhivovThis book provides detailed information on how to set up Deep Energy Retrofits (DERs) in public buildings, and shares in-depth insights into the current status of the major technologies, strategies and practical best practice examples of how to cost-effectively combine them. Case studies from Europe are analyzed with respect to energy use before and after renovation, reasons for undertaking the renovation, co-benefits achieved, resulting cost-effectiveness, and the business models employed. The building sector holds the potential for tremendous improvements in terms of energy efficiency and reducing carbon emissions, and energy retrofits to the existing building stock represent a significant opportunity in the transition to a low-carbon future. Moreover, investing in highly efficient building materials and systems can replace long-term energy imports, contribute to cost cutting, and create a wealth of new jobs. Yet, while the technologies needed in order to improve energy efficiency are readily available, significant progress has not yet been made, and “best practices” for implementing building technologies and renewable energy sources are still relegated to small “niche” applications. Offering essential information on Deep Energy Retrofits, the book offers a valuable asset for architects, public authorities, project developers, and engineers alike.
Deep Energy Retrofit—Case Studies: Business and Technical Concepts for Deep Energy Retrofit of Public Buildings; Energy in Buildings and Communities Programme; Annex 61, Subtask A
by Ruediger Lohse Ove C. Mørck Alexander ZhivovThis book describes results of research conducted with the goal of providing a framework, selected tools, and guidelines to significantly reduce energy use (by more than 50%) in government and public buildings. The scope of the book is limited to public buildings that were constructed before the 1980s with low internal loads (e.g., office buildings, dormitories, barracks, public housing, and educational buildings) and that were undergoing major renovation. The book contains description and analysis of 26 well-documented case studies from Europe (Austria, Denmark, Estonia, Germany, Ireland, Latvia, Montenegro, The Netherlands, and the UK) and the USA. After these data were collected, the case studies were analyzed with respect to energy use (before and after renovation), reasons for undertaking the renovation, co-benefits achieved, resulting cost-effectiveness, and the business models followed. Finally, “lessons learned” were compiled and compared.Deep Energy Retrofit (DER) is a major building renovation project in which site energy use intensity (including plug loads) has been reduced by at least 50% from the pre-renovation baseline with a corresponding improvement in indoor environmental quality and comfort. Lessons learned from the case studies and experiences of the team clearly indicate that DER can be achieved with the application of “bundles” of a limited number of core technologies readily available on the market. Specific characteristics of some of these core technology bundles generally depend on the technologies available on an individual nation’s market, on the minimum requirements of national standards, and on economics (as determined by a life cycle cost [LCC] analysis).
Deep Energy Retrofit—A Guide for Decision Makers (SpringerBriefs in Applied Sciences and Technology)
by Alexander Zhivov Rüdiger LohseMany governments worldwide are setting more stringent targets for reductions in energy use in government/public buildings. Buildings constructed more than 10 years ago account for a major share of energy used by the building stock. However, the funding and “know-how” (applied knowledge) available for owner-directed energy retrofit projects has not kept pace with new requirements. With typical retrofit projects, reduction of energy use varies between 10 and 20%, while actual executed renovation projects show that energy use reduction can exceed 50%, and can cost-effectively achieve the Passive House standard or even approach net zero-energy status (EBC Annex 61 2017a, Hermelink and Müller 2010; NBI 2014; RICS 2013; Shonder and Nasseri 2015; Miller and Higgins 2015; Emmerich et al. 2011).Building energy efficiency (EE) ranks first in approaches with resource efficiency potential with a total resource benefit of approximately $700 billion until 2030. EE is by far the cheapest way to cut CO2 emissions (McKinsey 2011, IPCC 2007). However, according to an IEA study (IEA 2014a), more than 80% of savings potential in building sector remains untapped. Thus, the share of deployed EE in the building sector is lower than in the Industry, Transport, and Energy generation sectors. Estimates for the deep renovation potentials show: €600-900bn investment potential, €1000-1300bn savings potential, 70% energy-saving potential, and 90% CO2 reduction potential.
Deep Eutectic Solvents for Medicine, Gas Solubilization and Extraction of Natural Substances (Environmental Chemistry for a Sustainable World #56)
by Eric Lichtfouse Sophie Fourmentin Margarida Costa GomesInitially considered as a sub-class of ionic liquids, eutectic mixtures are formed by mixtures of low cost, often biodegradable Lewis or Bronsted acids and bases. Eutectic mixtures have gathered a growing scientific interest by the academic and industrial communities as they are interesting for many applications ranging from metal processing to biomass treatment or pharmaceuticals.This volume gathers contributions by some of the most active research groups in the world using eutectic mixtures for applications in separation, extraction or pharmaceutical and medical applications. The different contributions aim at a large overview of the field for these particular applications by reviewing literature data and presenting ground breaking research in the different fields.
Deep Eutectic Solvents in Liquid-Liquid Extraction: Correlation and Molecular Dynamics Simulation
by Papu Kumar Naik Nikhil Kumar Nabendu Paul Tamal BanerjeeDeep eutectic solvents (DESs) are a new class of green solvents that open a whole new world of opportunities for separation challenges. This book comprehensively provides a detailed discussion of their application as an extractive solvent in separation processes, adopting molecular dynamics (MD) simulations for atomistic insight into the solute transfer across bi-phasic systems. Furthermore, it explains ternary and quaternary mixtures, including MD simulation of relevant DES systems. Features in this volume include the following: Applications of DESs in the extraction of aromatics and polyaromatics from fuel oil by liquid–liquid extraction Eutectic behavior with respect to hydrocarbon and aqueous solutions MD insights on extraction using DESs Possible industrial applicability of potential DESs Results from Gaussian, NAMD, and PACKMOL software packages This book is aimed at researchers and graduate students working in the field of fuels and petrochemicals, separation science, chromatography, and chemical processing and design.
Deep Eutectic Solvents in the Textile Industry
by Hafeezullah Memon Amjad Farooq Aamir Farooq Zongqian WangThis book comprehensively explores the fascinating intersection of deep eutectic solvents (DES) and nanocellulose, focusing specifically on their extraction methods and textile applications. It delves into the revolutionary role of deep eutectic solvents in nanocellulose extraction. Deep eutectic solvents are a class of non-toxic, low-cost, and environmentally friendly solvents formed by combining hydrogen bond donors and acceptors. They possess unique properties that make them highly suitable for dissolving cellulose and facilitating nanocellulose extraction with enhanced efficiency and sustainability. The book begins by providing a thorough overview of nanocellulose, its types, properties, and potential applications in the textile industry. It then delves into the fundamentals of deep eutectic solvents, their composition, properties, and synthesis methods. The subsequent chapters focus on the extraction techniques and strategies employed to obtain nanocellulose using deep eutectic solvents, highlighting the advantages and challenges associated with each method. It also discusses the potential modifications and functionalizations of nanocellulose to enhance its compatibility with textile applications, such as surface grafting, blending, and composite formation. The last part of the book shifts its focus to the applications of deep eutectic solvents in the textile industries. It explores the textile materials fibers, yarns, fabrics, and modification and dyeing and highlights the resulting improvements in mechanical strength, moisture management, thermal insulation, and UV protection.
Deep Excavations in Soil
by John EndicottThe book describes the theory and current practices for design of earth lateral support for deep excavations in soil. It addresses basic principles of soil mechanics and explains how these principles are embodied in design methods including hand calculations. It then introduces the use of numerical methods including the fundamental “beam on springs” models, and then more sophisticated computer programmes which can model soil as a continuum in two or three dimensions. Constitutive relationships are introduced that are in use for representing the behaviour of soil including a strain hardening model, and a Cam Clay model including groundwater flow and coupled consolidation. These methods are illustrated by reference to practical applications and case histories from the author’s direct experience, and some of the pitfalls that can occur are discussed. Theory and design are strongly tied to construction practice, with emphasis on monitoring the retaining structures and movement of surrounding ground and structures, in the context of safety and the Observational Method. Examples are presented for conventional “Bottom-up” and “Top-down” sequences, along with hybrid sequences giving tips on how to optimise the design and effect economies of cost and time for construction. It is written for practising geotechnical, civil and structural engineers, and especially for senior and MSc students.
Deep Fire Rising
by Jack DubrulHired to lead the excavation of caverns deep beneath Area 51, Philip Mercer finds himself drilling straight into the epicenterof an age-old conspiracy.
Deep Foundations for Infrastructure Development in India: Proceedings of DFI-India 2021 Annual Conference (Lecture Notes in Civil Engineering #315)
by Boominathan Adimoolam Anirudhan I. V. Sunil S. Basarkar Amit PrashantThis book contains select proceedings of the 10th annual conference of Deep Foundations Institute of India, DFI India, 2021. It presents papers on 1) Geotechnical Investigation, Testing, Instrumentation, Monitoring, and Quality Management, 2) Ground Improvement Techniques, 3) Piling and Deep Foundation Techniques, 4) Earth Retention and Deep Excavation Support, 5) Research, Experimental and Numerical Methods in Deep Foundations and Deep Excavation Technologies, and 6) Safe and Efficient Geo-Construction. This book has seventeen articles, each with a specific field application value. The probabilistic approach in evaluating the field data, namely SPT N and pressure meter modulus for arriving at the geotechnical design parameters, multiphase site investigation program for complex underground construction activity, the safety of working platforms in foundation construction projects, usage of liner piles to support the reaction platform for static loading tests for piles, choice of foundation system for three bridges, emphasis on the importance of selecting an appropriate foundation system for the safe and timely completion of the project, challenges in deep excavations, constructions in confined spaces, groundwater level variations, and their influence on tunneling have been discussed. The usefulness of numerical analysis in the design of deep excavations and ground improvement projects is highlighted. The articles covered in this book are of immense value to professionals and academicians for improving their work practice.
Deep Foundations for Infrastructure Development in India: Proceedings of DFI-India 2022 Annual Conference (Lecture Notes in Civil Engineering #373)
by A. Murali Krishna Subhadeep Banerjee N. Kumar PitchumaniThis book comprises select proceedings of the 11th annual conference of Deep Foundations Institute of India, DFI India 2022, held during 15–17 September 2022 in Tirupati. The conference showcased advancements in deep foundation technologies through articles on research and case histories. The book presents papers on deep foundation and deep excavation technologies for metro and high-speed rail; innovative techniques and testing for geotechnical investigations; monitoring, performance, and the QA-QC of deep foundations; challenges to working and the impact of existing codes with respect to technical innovations in deep foundations; ground improvement techniques for mass stabilization; geotechnics for marine, near-shore, and coastal constructions; research, experimental and numerical methods in deep foundations and deep excavation technologies; mono-piles and other advanced deep foundation systems; deep foundations in coralline and carbonate rocks and other unique and interesting papers related to deep foundation themes.
Deep Foundations on Bored and Auger Piles - BAP III
by W.F. van Impe and W. HaegemanThis text presents findings from the 3rd International Geotechnical Seminar, held in Ghent, Belgium. Topics include: American experiences with large diameter bored piles; case histories; static, dynamic and pile integrity testing; and installation parameters and capacity of screwed piles.
Deep Foundations on Bored and Auger Piles - BAP V: 5th International Symposium on Deep Foundations on Bored and Auger Piles (BAP V), 8-10 September 2008, Ghent, Belgium, Book + CD-ROM
by W.F. Van Impe P.O. Van ImpeAlthough progressing very well over the last years, the design criteria for bored and auger piles are still not fully under control and in acceptable synergism with the real pile foundation behaviour. Although there has been a lot of research in the past years worldwide on deep foundation engineering, the strong and competitive market ha
Deep Freeze: A Novel (The Revival Series #1)
by Michael C. GrumleyFrom the bestselling author of the Breakthrough series: In his next near-future thriller, Michael C. Grumley explores humanity’s thirst for immortality—at any cost... “A fast-paced juggernaut of a story, where revelations pile upon revelations, building to a stunning conclusion that will leave readers clamoring for more.” —James Rollins, #1 New York Times bestselling author of the Sigma Force series The accident came quickly. With no warning. In the dead of night, a precipitous plunge into a freezing river trapped everyone inside the bus. It was then that Army veteran John Reiff’s life came to an end. Extinguished in the sudden rush of frigid water. There was no expectation of survival. None. Let alone waking up beneath blinding hospital lights. Struggling to move, or see, or even breathe. But the doctors assure him that everything is normal. That things will improve. And yet, he has a strange feeling that there's something they're not telling him. As Reiff's mind and body gradually recover, he becomes certain that the doctors are lying to him. One by one, puzzle pieces are slowly falling into place, and he soon realizes that things are not at all what they seem. Critical information is being kept from him. Secrets. Supposedly for his own good. But who is doing this? Why? And the most important question: can he keep himself alive long enough to uncover the truth?At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.
Deep Generative Models: 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings (Lecture Notes in Computer Science #15224)
by Anirban Mukhopadhyay Ilkay Oksuz Sandy Engelhardt Dorit Mehrof Yixuan YuanThis book constitutes the proceedings of the 4th workshop on Deep Generative Models for Medical Image Computing and Computer Assisted Intervention, DGM4MICCAI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 21 papers presented here were carefully reviewed and selected from 40 submissions. These papers deal with a broad range of topics, ranging from methodology (such as Causal inference, Latent interpretation, Generative factor analysis) to Applications (such as Mammography, Vessel imaging, Surgical videos and more).
Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science #13609)
by Anirban Mukhopadhyay Ilkay Oksuz Sandy Engelhardt Dajiang Zhu Yixuan YuanThis book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore. DG4MICCAI 2022 accepted 12 papers from the 15 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.
Deep Generative Models: Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings (Lecture Notes in Computer Science #14533)
by Anirban Mukhopadhyay Ilkay Oksuz Sandy Engelhardt Dajiang Zhu Yixuan YuanThis LNCS conference volume constitutes the proceedings of the third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2023. The 23 full papers included in this volume were carefully reviewed and selected from 38 submissions.The conference presents topics ranging from methodology, causal inference, latent interpretation, generative factor analysis to applications such as mammography, vessel imaging, and surgical Videos.
Deep In-memory Architectures for Machine Learning
by Mingu Kang Sujan Gonugondla Naresh R. ShanbhagThis book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.
Deep Jungle: Journey To The Heart Of The Rainforest
by Fred PearceDEEP JUNGLE is an exploration of the most alien and feared habitat on Earth. Starting with man's earliest recorded adventures, Fred Pearce journeys high into the canopy - home to two-thirds of all the creatures on our planet, many of whom never come down to earth. During his travels he encounters all manner of fantastic flora and fauna, including a frog that can glide from tree to tree, a spider that can drag live chickens into its burrow and a flower that smells of decaying flesh.It is in the jungle that Pearce discovers secrets about how evolution works, the intricate links that connect us all, and maybe even clues to where humans came from - here is the key to our future foods and medicines, our climate and our understanding of how life works. At the start of a new millennium Pearce asks why we continue to waste precious time - and billions of dollars - looking for signs of life elsewhere in our universe when the greatest range of life-forms that have ever existed lies right here on our doorstep. Today environmentalists say we are on the verge of destroying the last rainforests, and with them the planet's evolutionary crucible, and maybe even its ability to maintain life on Earth. But nature has a way of getting its own back. The Mayans and the people of Angkor went too far in manipulating nature and paid the ultimate price. Their civilisations died and the jungle returned. Nature reclaimed it's own and it may do so again ...
Deep Learners and Deep Learner Descriptors for Medical Applications (Intelligent Systems Reference Library #186)
by Loris Nanni Sheryl Brahnam Rick Brattin Stefano Ghidoni Lakhmi C. JainThis book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) by fusing different deep learner architectures; and 5) by combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects.