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Proceedings of the IEEE is the leading journal to provide in-depth review, survey, and tutorial coverage of the technical developments in electronics, electrical and computer engineering, and computer science.
Latest Published Articles
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Multiconnectivity in Multicellular, Multiuser Systems: A Matching- Based Approach
Wed Jan 30 00:00:00 EST 2019 Wed Jan 30 00:00:00 EST 2019 -
The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards
Oliver Holland ; Eckehard Steinbach ; R. Venkatesha Prasad ; Qian Liu ; Zaher Dawy ; Adnan Aijaz ; Nikolaos Pappas ; Kishor Chandra ; Vijay S. Rao ; Sharief Oteafy ; Mohamad Eid ; Mark Luden ; Amit Bhardwaj ; Xun Liu ; Joachim Sachs ; José AraújoTue Jan 08 00:00:00 EST 2019 Tue Jan 08 00:00:00 EST 2019 -
Tactile Robots as a Central Embodiment of the Tactile Internet
Sun Dec 02 00:00:00 EST 2018 Sun Dec 02 00:00:00 EST 2018 -
Leveraging Tactile Internet Cognizance and Operation via IoT and Edge Technologies
Thu Nov 22 00:00:00 EST 2018 Thu Nov 22 00:00:00 EST 2018 -
The Tactile Internet for Industries: A Review
Wed Nov 21 00:00:00 EST 2018 Wed Nov 21 00:00:00 EST 2018
Popular Articles
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Taking the Human Out of the Loop: A Review of Bayesian Optimization
Thu Dec 10 00:00:00 EST 2015 Thu Dec 10 00:00:00 EST 2015 -
Software-Defined Networking: A Comprehensive Survey
Diego Kreutz ; Fernando M. V. Ramos ; Paulo Esteves Veríssimo ; Christian Esteve Rothenberg ; Siamak Azodolmolky ; Steve UhligFri Dec 19 00:00:00 EST 2014 Fri Dec 19 00:00:00 EST 2014 -
Gradient-based learning applied to document recognition
Tue Aug 06 00:00:00 EDT 2002 Tue Aug 06 00:00:00 EDT 2002 -
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Mon Nov 20 00:00:00 EST 2017 Mon Nov 20 00:00:00 EST 2017 -
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
Fri Dec 04 00:00:00 EST 2015 Fri Dec 04 00:00:00 EST 2015
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Gianluca Setti
Politecnico di Torino
Corso Duca degli Abruzzi, 24
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Taking the Human Out of the Loop: A Review of Bayesian Optimization
Publication Year: 2016, Page(s):148 - 175
Cited by: Papers (193)Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and storage architectures. The construction of such systems involves many distributed design choices. The end products (e.g., recommendation systems, medical analysis tools, real-time game engines, speech recognizers) thus involve m... View full abstract»
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Software-Defined Networking: A Comprehensive Survey
Diego Kreutz ; Fernando M. V. Ramos ; Paulo Esteves Veríssimo ; Christian Esteve Rothenberg ; Siamak Azodolmolky ; Steve UhligPublication Year: 2015, Page(s):14 - 76
Cited by: Papers (1161)The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from anywhere. However, despite their widespread adoption, traditional IP networks are complex and very hard to manage. It is both difficult to configure the network according to predefined policies, and to reconfigure it to respond to faults, load, and changes. To make matters even ... View full abstract»
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Gradient-based learning applied to document recognition
Publication Year: 1998, Page(s):2278 - 2324
Cited by: Papers (7206) | Patents (52)Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters, with minimal preprocessing. This paper rev... View full abstract»
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Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Publication Year: 2017, Page(s):2295 - 2329
Cited by: Papers (54)Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Accordingly, techniques that enable efficient processing of DNNs to improve energy efficiency and throughput without... View full abstract»
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Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
Publication Year: 2016, Page(s):176 - 197
Cited by: Papers (43)In this paper, we provide an introduction to machine learning tasks that address important problems in genomic medicine. One of the goals of genomic medicine is to determine how variations in the DNA of individuals can affect the risk of different diseases, and to find causal explanations so that targeted therapies can be designed. Here we focus on how machine learning can help to model the relati... View full abstract»
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The Next Generation of Deep Learning Hardware: Analog Computing
Publication Year: 2019, Page(s):108 - 122
Cited by: Papers (1)Initially developed for gaming and 3-D rendering, graphics processing units (GPUs) were recognized to be a good fit to accelerate deep learning training. Its simple mathematical structure can easily be parallelized and can therefore take advantage of GPUs in a natural way. Further progress in compute efficiency for deep learning training can be made by exploiting the more random and approximate na... View full abstract»
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Wind Energy Systems
Publication Year: 2017, Page(s):2116 - 2131
Cited by: Papers (2)Wind power now represents a major and growing source of renewable energy. Large wind turbines (with capacities of up to 6-8 MW) are widely installed in power distribution networks. Increasing numbers of onshore and offshore wind farms, acting as power plants, are connected directly to power transmission networks at the scale of hundreds of megawatts. As its level of grid penetration has begun to i... View full abstract»
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Modern Small Satellites-Changing the Economics of Space
Publication Year: 2018, Page(s):343 - 361
Cited by: Papers (4)Earth orbiting satellites come in a wide range of shapes and sizes to meet a diverse variety of uses and applications. Large satellites with masses over 1000 kg support high-resolution remote sensing of the Earth, high bandwidth communications services, and world-class scientific studies but take lengthy developments and are costly to build and launch. The advent of commercially available, high-vo... View full abstract»
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Reliability of nand-Based SSDs: What Field Studies Tell Us
Publication Year: 2017, Page(s):1751 - 1769
Cited by: Papers (4)Solid-state drives (SSDs) based on NAND flash are making deep inroads into data centers as well as the consumer market. In 2016, manufacturers shipped more than 130 million units totaling around 50 Exabytes of storage capacity. As the amount of data stored on solid state drives keeps increasing, it is important to understand the reliability characteristics of these devices. For a long time, our kn... View full abstract»
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Negative Capacitance Transistors
Publication Year: 2019, Page(s):49 - 62In recent years, the negative capacitance effect in ferroelectric (FE) materials has attracted significant attention from many researchers around the world. The negative capacitance effect promises to reduce the voltage requirement in conventional complementary metal-oxide-semiconductor transistors below what is otherwise believed to be the Boltzmann limit. In this paper, our objective is to discu... View full abstract»
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Physical Unclonable Functions and Applications: A Tutorial
Publication Year: 2014, Page(s):1126 - 1141
Cited by: Papers (208)This paper describes the use of physical unclonable functions (PUFs) in low-cost authentication and key generation applications. First, it motivates the use of PUFs versus conventional secure nonvolatile memories and defines the two primary PUF types: “strong PUFs” and “weak PUFs.” It describes strong PUF implementations and their use for low-cost authentication. After this description, the paper ... View full abstract»
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Hardware/Software Codesign: The Past, the Present, and Predicting the Future
Publication Year: 2012, Page(s):1411 - 1430
Cited by: Papers (114)Hardware/software codesign investigates the concurrent design of hardware and software components of complex electronic systems. It tries to exploit the synergy of hardware and software with the goal to optimize and/or satisfy design constraints such as cost, performance, and power of the final product. At the same time, it targets to reduce the time-to-market frame considerably. This paper presen... View full abstract»
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Advanced Antennas for Small Satellites
Publication Year: 2018, Page(s):391 - 403
Cited by: Papers (3)Antenna is one of the key components onboard small satellites as its design determines the performance of all the wireless systems including telemetry, tracking and control, high-speed data downlink, navigation, intersatellite communications, intrasatellite communications, wireless power transfer, radars and sensors, etc. This paper presents a review of recent development in advanced antennas for ... View full abstract»
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Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model
Alexander Neckar ; Sam Fok ; Ben V. Benjamin ; Terrence C. Stewart ; Nick N. Oza ; Aaron R. Voelker ; Chris Eliasmith ; Rajit Manohar ; Kwabena BoahenPublication Year: 2019, Page(s):144 - 164Braindrop is the first neuromorphic system designed to be programmed at a high level of abstraction. Previous neuromorphic systems were programmed at the neurosynaptic level and required expert knowledge of the hardware to use. In stark contrast, Braindrop's computations are specified as coupled nonlinear dynamical systems and synthesized to the hardware by an automated procedure. This procedure n... View full abstract»
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Flexible Electronics: The Next Ubiquitous Platform
Arokia Nathan ; Arman Ahnood ; Matthew T. Cole ; Sungsik Lee ; Yuji Suzuki ; Pritesh Hiralal ; Francesco Bonaccorso ; Tawfique Hasan ; Luis Garcia-Gancedo ; Andriy Dyadyusha ; Samiul Haque ; Piers Andrew ; Stephan Hofmann ; James Moultrie ; Daping Chu ; Andrew J. Flewitt ; Andrea C. Ferrari ; Michael J. Kelly ; John Robertson ; Gehan A. J. Amaratunga ; William I. MilnePublication Year: 2012, Page(s):1486 - 1517
Cited by: Papers (346)Thin-film electronics in its myriad forms has underpinned much of the technological innovation in the fields of displays, sensors, and energy conversion over the past four decades. This technology also forms the basis of flexible electronics. Here we review the current status of flexible electronics and attempt to predict the future promise of these pervading technologies in healthcare, environmen... View full abstract»
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History, Evolution, and Future Status of Energy Storage
Publication Year: 2012, Page(s):1518 - 1534
Cited by: Papers (306)Advanced energy storage has been a key enabling technology for the portable electronics explosion. The lithium and Ni-MeH battery technologies are less than 40 years old and have taken over the electronics industry and are on the same track for the transportation industry and the utility grid. In this review, energy storage from the gigawatt pumped hydro systems to the smallest watt-hour battery a... View full abstract»
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Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges
Publication Year: 2014, Page(s):366 - 385
Cited by: Papers (810) | Patents (51)Millimeter-wave (mmW) frequencies between 30 and 300 GHz are a new frontier for cellular communication that offers the promise of orders of magnitude greater bandwidths combined with further gains via beamforming and spatial multiplexing from multielement antenna arrays. This paper surveys measurements and capacity studies to assess this technology with a focus on small cell deployments in urban e... View full abstract»
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A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends
Publication Year: 2016, Page(s):1727 - 1765
Cited by: Papers (221)Due to the broadcast nature of radio propagation, the wireless air interface is open and accessible to both authorized and illegitimate users. This completely differs from a wired network, where communicating devices are physically connected through cables and a node without direct association is unable to access the network for illicit activities. The open communications environment makes wireles... View full abstract»
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A Review of Relational Machine Learning for Knowledge Graphs
Publication Year: 2016, Page(s):11 - 33
Cited by: Papers (94)Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical models can be “trained” on large knowledge graphs, and then used to predict new facts about the world (which is equivalent to predicting new edges in the graph). In particular, we discuss two fundamentally different kinds of s... View full abstract»
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The N3XT Approach to Energy-Efficient Abundant-Data Computing
Mohamed M. Sabry Aly ; Tony F. Wu ; Andrew Bartolo ; Yash H. Malviya ; William Hwang ; Gage Hills ; Igor Markov ; Mary Wootters ; Max M. Shulaker ; H.-S. Philip Wong ; Subhasish MitraPublication Year: 2019, Page(s):19 - 48The world's appetite for analyzing massive amounts of structured and unstructured data has grown dramatically. The computational demands of these abundant-data applications, such as deep learning, far exceed the capabilities of today's computing systems and are unlikely to be met with isolated improvements in transistor or memory technologies, or integrated circuit architectures alone. To achieve ... View full abstract»
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Smart Grids: A Cyber–Physical Systems Perspective
Publication Year: 2016, Page(s):1058 - 1070
Cited by: Papers (115)Smart grids are electric networks that employ advanced monitoring, control, and communication technologies to deliver reliable and secure energy supply, enhance operation efficiency for generators and distributors, and provide flexible choices for prosumers. Smart grids are a combination of complex physical network systems and cyber systems that face many technological challenges. In this paper, w... View full abstract»
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Silicon Nitride in Silicon Photonics
Publication Year: 2018, Page(s):2209 - 2231The silicon nitride (Si3N4) planar waveguide platform has enabled a broad class of low-loss planar-integrated devices and chip-scale solutions that benefit from transparency over a wide wavelength range (400-2350 nm) and fabrication using wafer-scale processes. As a complimentary platform to silicon-on-insulator (SOI) and III-V photonics, Si3N4waveguide ... View full abstract»
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Inductive Power Transfer
Publication Year: 2013, Page(s):1276 - 1289
Cited by: Papers (360) | Patents (7)Inductive power transfer (IPT) was an engineering curiosity less than 30 years ago, but, at that time, it has grown to be an important technology in a variety of applications. The paper looks at the background to IPT and how its development was based on sound engineering principles leading on to factory automation and growing to a $1 billion industry in the process. Since then applications for the... View full abstract»
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Nonorthogonal Multiple Access for 5G and Beyond
Publication Year: 2017, Page(s):2347 - 2381
Cited by: Papers (39)Driven by the rapid escalation of the wireless capacity requirements imposed by advanced multimedia applications (e.g., ultrahigh-definition video, virtual reality, etc.), as well as the dramatically increasing demand for user access required for the Internet of Things (IoT), the fifth-generation (5G) networks face challenges in terms of supporting large-scale heterogeneous data traffic. Nonorthog... View full abstract»
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Consensus and Cooperation in Networked Multi-Agent Systems
Publication Year: 2007, Page(s):215 - 233
Cited by: Papers (4807) | Patents (7)This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, time-delays, and performance guarantees. An overview of basic concepts of information consensus in networks and methods of convergence and performance analys... View full abstract»
Aims & Scope
Proceedings of the IEEE is the leading journal to provide in-depth review, survey, and tutorial coverage of the technical developments in electronics, electrical and computer engineering, and computer science.
Meet Our Editors
Editor-in-Chief
Gianluca Setti
Politecnico di Torino
Corso Duca degli Abruzzi, 24
10129 Torino, Italy
proceedings@ieee.org
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Aims & Scope
Proceedings of the IEEE is the leading journal to provide in-depth review, survey, and tutorial coverage of the technical developments in electronics, electrical and computer engineering, and computer science. Consistently ranked as one of the top journals by Impact Factor, Article Influence Score and more, the journal serves as a trusted resource for engineers around the world.
The Proceedings publishes approximately ten Special Issues and two regular paper issues per year.
- Special Issues are led by distinguished Guest Editor teams and contain articles, typically surveys, reviews or tutorials, from leading experts in the technology area being covered. They serve as a guide to the state-of-the-art and are highly valued by the core research community, as well as specialists in other areas, looking to quickly come up to speed on the latest and more promising advances in areas outside of their own expertise.
- Regular Issues consist of three to four papers on more focused topics, giving readers background and insight into emerging areas.
Papers published in the Proceedings are usually reviews, surveys, or tutorials.
- Reviews critically examine a technology, tracing its progress from its inception to the present—and perhaps into the future.
- Surveys comprehensively view a technology—its applications, issues, ramifications, and potential.
- Tutorial papers explain a technology and may give practical information for implementing it. These papers are written for the purpose of informing non-specialist engineers about a particular technology.
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5 More »
Frequency: 12
ISSN: 0018-9219
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- Engineering Profession
- General Topics for Engineers
Contacts
Editor-in-Chief
Gianluca Setti
Politecnico di Torino
Corso Duca degli Abruzzi, 24
10129 Torino, Italy
proceedings@ieee.org
About this Journal
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Previous Titles
- ( 1939 - 1962 ) Proceedings of the IRE
- ( 1913 - 1938 ) Proceedings of the Institute of Radio Engineers
Contacts
Editor-in-Chief
Gianluca Setti
Politecnico di Torino
Corso Duca degli Abruzzi, 24
10129 Torino, Italy
proceedings@ieee.org