125 research outputs found
Can AI democratize healthcare? TEDxUTN
From his own experience in musing on data (and life) and pondering how human intelligence can make artificial intelligence work to improve healthcare, Parag Chatterjee shares his views on the power of AI in democratizing healthcare. Graduated with a master’s degree in computer science from University of Calcutta, India, Parag works as a researcher and faculty member at the National Technological University in Buenos Aires, Argentina and at the University of the Republic in Uruguay.Agencia Nacional de Investigación e Innovación, UruguayUniversidad Tecnológica Nacional, Buenos Aires, ArgentinaUniversidad de la República, Urugua
Dataset: A systematic review on Artificial Intelligence applied to predictive cardiovascular risk analysis in liver transplantation
Dataset: A systematic review on Artificial Intelligence applied to predictive cardiovascular risk analysis in liver transplantatio
Applied approach to privacy and security for the internet of things Advances in information security, privacy, and ethics (AISPE) book series./ Parag Chatterjee, Emmanuel Benoist, Asoke Nath.
"Premier Reference Source" -- taken from front cover.Includes bibliographical references and index."This book examines the conceptual aspects of security and privacy in IoT. It also explores the application of IoT systems in smart transports, smart cities, and smart healthcare"--Collision avoidance methodology in internet of things & wireless ad hoc network / Arundhati Arjaria, Priyanka Dixit -- Information security management system : a case study of employee management / Manoj Srivastav -- Anomaly detection in IoT frameworks using machine learning / Phidahunlang Chyne, Parag Chatterjee, Sugata Sanyal, Debdatta Kandar -- Real-time, cross-platform detection of spectre and meltdown attack variants / Xinxing Zhao, Chandra Veerappan, Peter Loh -- Trust models in IoT / Shiladitya Sengupta -- Vulnerabilities of smart home / Suchandra Datta -- Security and privacy vulnerabilities in automated driving / Suchandra Datta -- Key vulnerabilities in IoT systems / Shiladitya Sengupta -- IoT forensic : principles, processes and activities / Eoghan Casey, Hannes Spichiger, Elénore Ryser, Francesco Servida, David-Olivier Jaquet-Chiffelle -- IoT controlled railway gate system with ML object detection approach : applied approach for secured IOT system / Megha Kamble.1 online resource (xix, 295 pages)
Dataset: Depression diagnosis using Artificial Intelligence: A systematic review
Dataset: Depression diagnosis using Artificial Intelligence: A systematic revie
Connettività e geopolitica nell'opera di Parag Khanna
Una riflessione sull'opera di Parag Khanna centrata sul volume Connectography quello che evidenzia meglio i tasselli del disegno concettuale attraverso il quale l'autore scardina i paradigmi tradizionali del pensiero geopolitico a favore di altri fondati sulla connettività, sulle reti infrastrutturali e al controllo delle supply chain globali. Lo Stato tradizionale soccombe di fronte alle spinte tecnocratiche e al potere di nuovi attori territoriali.A reflection on Parag Khanna's work centered on the volume Connectography the one that best highlights the pieces of the conceptual design through which the author unhinges the traditional èparadigms of geopolitical thought in favor of others founded on connectivity, infrastructural networks and the control of global supply chains. The traditional state succumbs to technocratic drives and the power of new territorial actors
The Right to Information - Main Element of Freedom of Expression. European and Romanian Standards
The author analyses the right to information in the light of the European Convention for defence of the human rights and the main liberties, of the jurisprudence of the European Court of Human Rights and Romanian right. After stating that this right is one of the two main elements of the right to expression freedom, next to the right of opinion freedom, the author shows, on one side, that the freedom to information supposes responsibility and, on the other side, this should be respected by public authorities, as well as by any natural or juridical person.the right to information, expression freedom, opinion freedom, European Court of Human Rights.
Emergency department, sustainability, and ehealth: A proposal to merge these elements improving the sanitary system
This work is intended to propose series of interventions to have a sustainable first aid in the hospitals of the Italian area. The interventions proposed are devoted to rationalize and contain the annual number of access inside the first aid taking into account all the potential urban area connected that use the first aid with a special attention to the so-called fragility band composed by senior citizens and frequent users. The proposed system has the mission to improve the work performances ensuring a reduction of the inappropriate access inside the first aid through the introduction of Hi-Triage, intended as the introduction of technologies (hardware and software) to support the medical triage and give a fast response times improving the performances of the operators; H24 assistance departing from the hospital (that has a direct impact on access to the first aid); e-Health to improve the electronic flow of medical information. The social impact is linked on one side to a first-aid optimization (reduced waiting times, improved operator performances, more comfortable situation in the waiting room) and on the other to the improvement of an integrated education through the creation of educational and sustainable scientific paths properly customized. The environmental impact is also a key factor of this proposal, with a reduction of movements from and to the first aid that has as final result reductions of pollution emissions and energy consumptions. Last but not least, the economic impact of this proposal lies in the reduction of access cost of the patients in the first aid access and of the direct and indirect costs needed to support patients. The authors will use the “Policlinico of Tor Vergata” Medical Structure as case study to estimate (quantitative and qualitative) the values of the above-mentioned proposals. © 2018 by Taylor and Francis Group, LLC
Resenha do livro "How to Run the World: Charting a Course to the next Renaissance”, de Parag Khanna
In his new book, Parag Khanna, Director of the Global Governance Initiative at the New America Foundation and author of “The Second World”, seeks to answer how we can deal with global challenges in a more effective way in the years to come. In merely 214 pages, Khanna covers a vast array of challenges ”“ from climate change, nuclear proliferation, poverty, human rights to the Middle East Conflict to the disputes in Kashmir, Iran and Afghanistan. As a natural consequence, some of his analyses seem a bit rushed (for example, his thoughts on nuclear proliferation are limited to just a few pages). Yet Khanna’s aim is not to engage in profound historical analysis; rather, the book can be understood as a smart brainstorming session on how to tackle the world’s most urgent problems. Academics will frown at his approach as Khanna’s assertions are not based on empirical research, yet he is certainly courageous for approaching big issues in a sweeping way.In his new book, Parag Khanna, Director of the Global Governance Initiative at the New America Foundation and author of “The Second World”, seeks to answer how we can deal with global challenges in a more effective way in the years to come. In merely 214 pages, Khanna covers a vast array of challenges ”“ from climate change, nuclear proliferation, poverty, human rights to the Middle East Conflict to the disputes in Kashmir, Iran and Afghanistan. As a natural consequence, some of his analyses seem a bit rushed (for example, his thoughts on nuclear proliferation are limited to just a few pages). Yet Khanna’s aim is not to engage in profound historical analysis; rather, the book can be understood as a smart brainstorming session on how to tackle the world’s most urgent problems. Academics will frown at his approach as Khanna’s assertions are not based on empirical research, yet he is certainly courageous for approaching big issues in a sweeping way
Labeling hypergraph-structured data using Markov network
The goal of this dissertation is to label datapoints into two groups utilizing higher order information among them. More specifically, given likelihood (or error) measures that subsets of data are generated by a pattern (or belong to a class), we wish to label the individual datapoints into two classes. Several computer vision problems deal with data in this format. In model estimation, small subsets of data are randomly sampled to produce an error measure. Groups of object parts are often used to provide useful geometrical information for object recognition/ localization. We propose a novel labeling algorithm by modeling the datapoints as nodes of a higher order Markov Network. A new higher order clique function plays the central role in our method. The behavior of this clique function is analyzed to explain how it affects the inference and to predict when it is theoretically guaranteed to produce an optimal solution. We also describe how a parametric form of the proposed clique function can be learned from labeled data. Results on several different computer vision problems will be presented to demonstrate the effectiveness of the proposed algorithm .Ph.D.Includes bibliographical referencesIncludes vitaby Toufiq U Para
Internet of Things and Artificial Intelligence in Healthcare During COVID-19 Pandemic—A South American Perspective
The shudders of the COVID-19 pandemic have projected newer challenges in the healthcare domain across the world. In South American scenario, severe issues and difficulties have been noticed in areas like patient consultations, remote monitoring, medical resources, healthcare personnel etc. This work is aimed at providing a holistic view to the digital healthcare during the times of COVID-19 pandemic in South America. It includes different initiatives like mobile apps, web-platforms and intelligent analyses toward early detection and overall healthcare management. In addition to discussing briefly the key issues toward extensive implementation of eHealth paradigms, this work also sheds light on some key aspects of Artificial Intelligence and the Internet of Things along their potential applications like clinical decision support systems and predictive risk modeling, especially in the direction of combating the emergent challenges due to the COVID-19 pandemic
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