الصفحة 8
الصفحة 8
Deep learning and computer vision in remote sensing-II
Computer vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing.
Deep eutectic polvents : Synthesis, properties, and applications
Deep Eutectic Solvents contains a comprehensive review of the use of deep eutectic solvents (DESs) as an environmentally benign alternative reaction media for chemical transformations and processes. The contributors cover a range of topics including synthesis, structure, properties, toxicity and biodegradability of DESs. The book also explores myriad applications in various disciplines, such as organic synthesis and (bio)catalysis, electrochemistry, extraction, analytical chemistry, polymerizations, (nano)materials preparation, biomass processing, and gas adsorption.
Death Threats and Violence : New Research and Clinical Perspectives
Threats of violence—and especially of homicide—are a too-familiar part of modern life, paralleling stressful conditions at home, on the job, on campus, and in relationships. Death Threats and Violence analyzes the meaning and impact of homicidal threats, the means by which they are communicated, and their development from infrequent private occurrence to ongoing social problem.
Datatype-Generic Programming ; International Spring School, SSDGP 2006, Nottingham, UK, April 24-27, 2006, Revised Lectures
A leitmotif in the evolution of programming paradigms has been the level and extent of parametrisation that is facilitated — the so-called genericity of the paradigm. The sorts of parameters that can be envisaged in a programming language range from simple values, like integers and fioating-point numbers, through structured values, types and classes, to kinds (the type of types and/or classes).Datatype-generic programming is about parametrising programsby the structure of the data that they manipulate. To appreciate the importance of data type genericity,one need look no further than the internet. The internet is a massive repository of structured data, but the structure is rarely exploited. For example, compression of data can be much more efiective if its structure is known, but most compression algorithms regard the input data as simply a string of bits, and take no account of its internal organisation. Datatype-generic programming is about exploiting the structure of data when it is relevant and ignoring it when it is not. Programming languages most c- monly used at the present time do not provide efiective mechanisms for do- menting and implementing datatype genericity.
Data Management. Data, Data Everywhere ; 24th British National Conference on Databases, BNCOD 24, Glasgow, UK, July 3-5, 2007, Proceedings
One of the most pressing challenges is to ?nd ways of evolving database technology to cope with its new role in underpinning the massively distributed and heterogeneous applications built on top of the Internet. This has afiected both the ways in which data has been accessed and the ways in which it is represented, with XML data management becoming an important issue and, as such, heavily represented at this conference. It has also brought back issues of performance that might have been considered largely solved by the improvements in hardware, since data now has to be managed on devices of low power and small memory as well as on standard client and powerful server machines. We therefore invited papers on all aspects of data management, particularly related to how dataisused in the ubiquitous environment of the modern Internet by complex distributed and scientific applications.
Damage and Cracking of Concrete Structures : From Theory to Practice
Understanding and managing damage and cracking in concrete is essential to ensuring the integrity and durability of civil engineering structures. This book also addresses many situations, such as monotonic or cyclic behavior, seismic responses, a description of fast dynamic situations and effects due to the maturation of concrete at an early age in massive structures. Numerous detailed exercises are provided to help students to understand modeling and calculation techniques.
Crowd investment platform
Investment platforms are challenging the grip of massive business on the venture sector and are providing new means of power to the crowds. It is of no surprise that new and interesting equity sharing platforms are now disrupting the convention practices of the market. There are a number of concerns that the user faces, including legal, commercial and security concerns, as well as concerns about trusting these platforms in investment operations, especially in the financial transfer process between the user and companies. We built a site that reduces the presence of these concerns and protects the user from fraud, as we store money transfers and investment operations between users and companies or users and other users within a smart contract that brings them together and the amount that will be invested in the blockchain that encodes this contract and makes it public only to its owners.
Crime detection camera
This paper presents a comprehensive crime detection system that uses a combination of hardware and software to monitor homes and communities in real time. The system consists of a Raspberry Pi 4B, a Raspberry Pi Camera V2, a flame sensor, an MQ-6 gas sensor, and a microphone, which are all connected to a database management system powered by MySQL. The data collected from these devices is analyzed by machine learning algorithms to detect crimes, such as theft or robbery, as well as fires and gas leaks. The system also includes a mobile app, ‘Safe Home’ which provides live video monitoring and real-time notifications to users, and an employee dashboard to monitor all statistics and manage all implemented systems.
Cosmic Ray Neutron Sensing : Estimation of Agricultural Crop Biomass Water Equivalent
Provides methods for the estimation of Biomass Water Equivalent (BEW), an essential step for improving the accuracy of area-wide soil moisture by cosmic-ray neutron sensors (CRNS). Three techniques are explained in detail: (i) traditional in-situ destructive sampling, (ii) satellite based remote sensing of plant surfaces, and (iii) biomass estimation via the use of the CRNS itself. The advantages and disadvantages of each method are discussed along with step by step instructions on proper procedures and implementation.
Cosmeceuticals as Game Changers in the Cosmetic Industry
Objectives of this work is to compare conventional cosmetics to biotechnology derived cosmeceuticals in terms of skin anti-aging, skin color modulation and hair growth, and to find out which is of greater overall performance. Research revealed superiority of cosmeceuticals to classical cosmetics as it was found that many classical cosmetic agents used for aesthetical purposes posed a certain level of either ineffectiveness, for the reason that the effect did not treat the cause of the problem and was merely temporary and external, or harmfulness because of proposed potential health risks and adverse effects. Whereas cosmeceuticals presented promising novel mechanisms and compounds for a deeper, more thorough remedy.
Corticofugal Modulation of Sensory Information
Sensory signals reach the cerebral cortex after having made synapses in different relay stations along the sensory pathway. The flow of sensory information in subcortical relay stations is controlled by the action of precise topographic connections from the neocortex. Several lines of research indicate that the massive corticifugal system improves ongoing subcortical sensory processing and reorganizes the receptive fields in visual, auditory and somatosensory systems. In all these sensory systems cortical neurons mediate both the highly focused positive feedback to subcortical neurons with ove
Coronal Mass Ejections
This volume offers a comprehensive and integrated overview of our present knowledge and understanding of Coronal Mass Ejections (CMEs) and their descendants, Interplanetary CMEs (ICMEs). It results from a series of workshops held between 2000 and 2004. An international team of about sixty experimenters involved e.g. in the SOHO, ULYSSES, VOYAGER, PIONEER, HELIOS, WIND, IMP, and ACE missions, ground observers, and theoreticians worked jointly on interpreting the observations and developing new models for CME initiations, development, and interplanetary propagation. The book provides researchers active in space physics with an overview of the current understanding of CMEs and ICMEs, and their effects in the heliosphere. It also provides the advanced graduate student with introductory material on this active field of research.
Cores to Clusters : Star Formation with Next Generation Telescopes
Toward the second half of this decade, several major telescope facilities operating in the infrared, sub-millimeter, and millimeter wave bands will become operational. These missions are expected to throw much light on our understanding of the star formation phenomenon, which is one of the primary science goals in these wave bands. This book contains the proceedings of the "Cores to Clusters" workshop held at Centro de Astrofisica da Universidade do Porto. The mission of the workshop was to discuss current and future issues in star formation physics in the light of these Next Generation Telescopes. This book is comprised of a mixture of articles that provide a comprehensive coverage of current topics including both low and high mass star formation. It serves as a practical compendium for graduate students and young researchers working in the field of star formation.
Convective and Advective Heat Transfer in Geological Systems
This monograph aims to provide state-of-the-art theoretical results in a systematic treatment of convective and advective heat transfer during fluid flow in geological systems at the crustal scale. Although some numerical results are provided to complement theoretical ones, the main focus of this monograph is on theoretical aspects of the topic. The theoretical treatment contained in this monograph is also applicable to a wide range of problems of other length-scales such as engineering length-scales.
Control of cracking in reinforced concrete structures
Provides guidelines which can extend the existing standards and codes to cover these types of special works, especially those which are massive in nature, taking account of their specific behaviour in terms of cracking and shrinkage together with other important properties such as water/air leak tightness
Content based image retrieval systems
With an advent of technology, huge collection of digital images is formed as repositories on crime prevention, medical diagnosis, military, face finding, satellites and remote sensing. The task of searching for similar images in the repository is difficult. The data is growing enormously which makes it difficult to store and manage. The traditional image retrieval technique is inefficient in retrieving these images. Content-based image retrieval is an approach from data mining community, which provides the solution of managing this huge quantity of data. In this research, a Content-Based Image Retrieval (CBIR) system has been developed using color and texture as retrieval features from the image repository. The system allows the user to search for an image based on any of the two features alone or in combination by assigning weights to the features. The histogram and color moments approach is used to extract the color feature, texture feature is extracted using statistical moments and co-occurrence matrix method and the shape feature is extracted using the morphological operations. The images and the extracted feature vectors are stored in the Pickle file. The system is robust as it provides search based on the multiple features. The performance of the system was evaluated by analyzing the retrieval results using precision and recall.
Constitutionalism and Legal Reasoning
This book of legal philosophy contends that positive law is better understood if it is not too easily equated with power, force, or command.
Concentration inequalities and model selection ; Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003
An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, change points detection and statistical learning are discussed. This volume reflects the content of the course given by P. Massart in St. Flour in 2003.
Computational logic in multi-agent systems ; 4th International Workshop, CLIMA IV, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited Papers
Though multiagent systems (MASs) are being increasingly used, few methods exist to ensure survivability of MASs. All existing methods suffer from two flaws. First, a centralized survivability algorithm (CSA) ensures survivability of the MAS – unfortunately, if the node on which the CSA exists goes down, the survivability of the MAS is questionable. Second, no mechanism exists to change how the MAS is deployed when external factors trigger a re-evaluation of the survivability of the MAS. In this paper, we present three algorithms to address these two important problems. Our algorithms can be built on top of any CSA. Our algorithms are completely distributed and can handle external triggers to compute a new deployment. We report on experiments assessing the efficiency of these algorithms.
Combinatorial and algorithmic aspects of networking ; Vol.3405 ; 1st Workshop on combinatorial and algorithmic aspects of networking, CAAN 2004, Banff, Alberta, Canada, August 5-7, 2004, Revised Selected Papers
The Internet is a massive global network of over 700 million users and it is addingusers at the rate of 300,000 per day. This large, distributed, and everchangingnetwork poses a challenge to researchers: How does one study, model, or under-stand such a decentralized, constantly evolving entity? The workshop Combi-natorial and Algorithmic Aspects of Networking and the Internet (CAAN 2004)provided a forum for the exchange of ideas on these topics. and among thepapers were some new and surprising results as well as some introductions tothe foundations of the field.The workshop program featured 12 peer-reviewed papers bracketed by Topics covered by the talks ranged from the Web graph to game theoryto string matching, all in the context of large-scale networks. This volume collectstogether the talks delivered at the workshop along with a number of survey articlesto round out the presentation and give a comprehensive introduction to the topic.
