Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Achieving Multimodal Networks PDF full book. Access full book title Achieving Multimodal Networks by U.s. Department of Transportation. Download full books in PDF and EPUB format.
Author: U.s. Department of Transportation Publisher: Createspace Independent Publishing Platform ISBN: 9781723439285 Category : Languages : en Pages : 122
Book Description
Achieving multimodal networks : applying design flexibility and reducing conflicts /
Author: U.s. Department of Transportation Publisher: Createspace Independent Publishing Platform ISBN: 9781723439285 Category : Languages : en Pages : 122
Book Description
Achieving multimodal networks : applying design flexibility and reducing conflicts /
Author: Federal Highway Administration (U S ) Publisher: Government Printing Office ISBN: 9780160937064 Category : Languages : en Pages : 544
Book Description
This publication is intended to provide decision makers with an objective appraisal of the physical conditions, operational performance, and financing mechanisms of highways, bridges, and transit systems based on both their current state and their projected future state under a set of alternative future investment scenarios.
Author: Jun Wang Publisher: Springer ISBN: 3642313620 Category : Computers Languages : en Pages : 669
Book Description
The two-volume set LNCS 7367 and 7368 constitutes the refereed proceedings of the 9th International Symposium on Neural Networks, ISNN 2012, held in Shenyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recognition; vision; image processing; information processing; neurocontrol; and novel applications.
Author: Leonard Barolli Publisher: Springer Nature ISBN: 3031357345 Category : Technology & Engineering Languages : en Pages : 432
Book Description
This book aims to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: software intensive systems, complex systems and intelligent systems. Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important factor for the future development and innovation of software intensive and complex systems.
Author: David Liddle Publisher: Kogan Page Publishers ISBN: 0749480890 Category : Business & Economics Languages : en Pages : 321
Book Description
Conflict in the workplace is a perennial problem for organizations. Whether it's a disagreement between colleagues, a dispute with management or large-scale industrial action, conflict negatively affects both people and profits as employee morale and productivity fall. Endorsed by the CIPD, Managing Conflict is an essential guide for HR professionals needing to tackle these problems by not only resolving current issues, but also preventing future instances of conflict. Going beyond interpersonal conflict, the book also looks at resolving board room disputes, disputes with shareholders, in the supply chain, commercial disputes and customer complaints. The first part of Managing Conflict covers the causes and costs of conflict, the impact of the psychological contract and the legal framework for managing workplace disputes both in the UK and internationally. The second part of the book provides a blueprint for redefining resolution and building a culture of constructive conflict management, from designing a conflict management strategy and developing a formal resolution process to embedding mediation, engaging stakeholders and training managers in resolution and mediation skills. This book also includes conflict resolution toolkits for managers, HR teams, employees and unions to help tackle conflict and bullying at work. Packed with best practice case studies from major UK and global organizations, this is an indispensable guide for all HR professionals looking to resolve conflict in the workplace. Online supporting resources include a conflict health check tool, conflict cost calculator, and checklist for developing an internal mediation scheme.
Author: Suneeta Satpathy Publisher: CRC Press ISBN: 1000894932 Category : Computers Languages : en Pages : 292
Book Description
The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.
Author: Andreas K. Maier Publisher: Springer Nature ISBN: 3031476794 Category : Medical Languages : en Pages : 200
Book Description
This book constitutes the proceedings of the First International Workshop on Machine Learning for Multimodal Healthcare Date, ML4MHD 2023, held in Honolulu, Hawaii, USA, in July 2023. The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop's primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data.
Author: U.s. Department of Transportation
Author: U.s. Department of Transportation
Author: Federal Highway Administration (U S )
Author: Jun Wang
Author: Leonard Barolli
Author: David Liddle
Author: De-Nian Yang
Author: Anandakumar Haldorai
Author: Suneeta Satpathy
Author: Andreas K. Maier
Author: Jingchao Li