3,627 resources related to

Machine To Machine

Machine to Machine (M2M) refers to technologies that allow both wireless and wired systems to communicate with other devices of the same type. (Wikipedia.org)

Top Conferences on Machine To Machine

2021 IEEE International Electric Machines & Drives Conference (IEMDC)

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)

2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)

2021 IEEE Energy Conversion Congress and Exposition (ECCE)

2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)

2021 40th Chinese Control Conference (CCC)

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society

2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

2021 IEEE 16th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

2021 24th International Conference on Electrical Machines and Systems (ICEMS)

2021 31st Australasian Universities Power Engineering Conference (AUPEC)

2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)

2022 International Conference on Electrical Machines (ICEM)

2020 International Conference on Machine Learning and Cybernetics (ICMLC)

2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

2020 IEEE Industry Applications Society Annual Meeting

2019 IEEE International Conference on Industrial Technology (ICIT)

2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

SC18: International Conference for High Performance Computing, Networking, Storage and Analysis

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)

2018 18th Biennial Conference on Electromagnetic Field Computation (CEFC)

2018 IEEE Technology Time Machine (TTM)

2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)

2018 24th International Conference on Pattern Recognition (ICPR)

2018 IEEE International Conference on Multimedia and Expo (ICME)

2018 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)

2018 14th International Workshop on Discrete Event Systems (WODES)

2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC)

2018 European Conference on Antennas and Propagation (EuCAP)

2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT)

2017 IEEE Conference on Electrical Insulation and Dielectric Phenomenon (CEIDP)

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)

2017 17th International Conference on Control, Automation and Systems (ICCAS)

2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)

2017 IEEE International Conference on Information and Automation (ICIA)

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

2017 International Conference on ReConFigurable Computing and FPGAs (ReConFig)

2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation

2017 IEEE International Conference on Imaging Systems and Techniques (IST)

2016 Compound Semiconductor Week (CSW) [Includes 28th International Conference on Indium Phosphide & Related Materials (IPRM) & 43rd International Symposium on Compound Semiconductors (ISCS)]

2015 8th International Congress on Image and Signal Processing (CISP)

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)

2013 3rd International Conference on Information Technology and e-Services (ICITeS)

2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

2012 International Conference on Machine Vision and Image Processing (MVIP)

2012 13th IEEE/ACM International Conference on Grid Computing (GRID)

2012 Second International Conference on Electric Information and Control Engineering (ICEICE)

2011 IEEE/PES Power Systems Conference and Exposition (PSCE)

2011 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) and Electromotion Joint Conference

2010 International Conference on Machine Vision and Human-Machine Interface (MVHI)

2008 International Conference on Smart Manufacturing Application (ICSMA)

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Top Videos on Machine To Machine

Linear Regression: Intro to Machine Learning Workshop - IEEE Region 4 Presentation

Chandigarh Sub Section Congress : TensorFlow.js Machine Learning

Active Machine Learning: From Theory to Practice

Introduction to Machine Learning and Inference

ICASSP 2016 Deep Learning for AI: From Machine Perception to Machine

Introduction to OpenDSS Parallel Machine - Parallel Processing with OpenDSS Part 2

Introduction to OpenDSS Parallel Machine - Parallel Processing with OpenDSS Part 1

Introduction to OpenDSS Parallel Machine - Parallel Processing with OpenDSS Part 3

Opening the Black Box â€“ How to Interpret Machine Learning Functions and their Decisions

Machine Learning for 5G

Bringing Machine Learning to the Clinic: Opportunities and Challenges

From Unsupervised Machine Translation To Adversarial Text Generation

IEEE Brain: Brain Machine Interfaces: Concept to Clinic

Overlap Local-Sgd: An Algorithmic Approach To Hide Communication Delays In Distributed Sgd

Panel Q&A - Big Data: 2016 Technology Time Machine

Technology Time Machine - Dr. James Truchard Presentation

Machine Learning for Analytics Architecture: AI to Design AI Video

Q&A with Alicia Abella, Assistant VP at AT&T

Coincidence, Categorization, And Consolidation: Learning To Recognize Sounds With Minimal Supervision

Mask uncertainty regularization to improve machine learning-based medical image segmentation

Machine Learning Applied to Topological Mapping for Structure Recognition

Discriminant Generative Adversarial Networks With Its Application To Equipment Health Classification

Our Engineering Future: Technology Time Machine 2018

Technology Time Machine 2016: Making the Future

The Ultimate Software: Machine Learning & Intelligence

Machine Ethics - Proceedings of the IEEE Webinar

Adaptive Learning and Optimization for MI: From the Foundations to Complex Systems - Haibo He - WCCI 2016

Adversarial Example Detection By Classification For Deep Speech Recognition

Learning to Solve Inverse Problems in Imaging

Accelerating Machine Learning with Non-Volatile Memory: Exploring device and circuit tradeoffs - Pritish Narayanan: 2016 International Conference on Rebooting Computing

Mango: A Python Library For Parallel Hyperparameter Tuning

The Quest for Natural Machine Motion

Scalable Multilingual Frontend For Tts

Stochastic Admm For Byzantine-Robust Distributed Learning

Cost Aware Adversarial Learning

Sequential Iot Data Augmentation Using Generative Adversarial Networks

Panel: Machine Learning in the Valley - ICRC San Mateo, 2019

Recap of Day 1 - Roberto Saracco: 2016 Technology Time Machine

Shannon to Machine Learning: ML & DL for 5G - Erik Stauffer - B5GS 2019

Performance-Guided Synthesis of Personalized Virtual Environments for the Future of Work & Training

Tech Super Stars Panelist - Joe Herkert: 2016 Technology Time Machine

Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning - Dejan Milojicic - ICRC 2018

Learning With Out-Of-Distribution Data For Audio Classification

Model Order Selection In Doa Scenarios Via Cross-Entropy Based Machine Learning Techniques

Hierarchical Attention Transfer Networks For Depression Assessment From Speech

End-To-End Auditory Object Recognition Via Inception Nucleus

Cat and Mouse, Email Phishing and Machine Learning - Cybersecurity in a Hyperconnected World

Q&A with Karen Bartleson: IEEE Technology Time Machine Podcast, Episode 3

Low-Rank Gradient Approximation For Memory-Efficient On-Device Training Of Deep Neural Network

Nasil : Neural Architecture Search With Imitation Learning

End-To-End Auditory Object Recognition Via Inception Nucleus

Reduced-Complexity Singular Value Decomposition For Tucker Decomposition: Algorithm And Hardware

Spoken Language Acquisition Based On Reinforcement Learning And Word Unit Segmentation

Welcome Remarks - Doug Zuckerman: 2016 Technology Time Machine

Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption

Weighted Gradient Coding With Leverage Score Sampling

Improving The Scalability Of Deep Reinforcement Learning-Based Routing With Control On Partial Nodes

Powers of Projection: Contemporary Art & Cybernetics - IEEE SSIT 21CW2021

Q&A with the Experts: IEEE Technology Time Machine Podcast, Episode 5

Q&A: Distinguished Experts Panel - TTM 2018

Neural Attentive Multiview Machines

Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems

End-To-End Speech Translation With Self-Contained Vocabulary Manipulation

Improving The Scalability Of Deep Reinforcement Learning-Based Routing With Control On Partial Nodes

Brain Computer Interface and Machine Learning- WIE ILC 2021

Pyannote.Audio: Neural Building Blocks For Speaker Diarization

An Efficient Augmented Lagrangian-Based Method For Linear Equality-Constrained Lasso

Towards A New Understanding Of The Training Of Neural Networks With Mislabeled Training Data

Balancing Rates And Variance Via Adaptive Batch-Sizes In First-Order Stochastic Optimization

Extrapolated Alternating Algorithms For Approximate Canonical Polyadic Decomposition

Optimal Joint Channel Estimation And Data Detection By L1-Norm Pca For Streetscape Iot

AI at the Edge - VS Joshi: Fog World Congress 2018

Machine Learning and Graph Based Approach to Automatic Right Atrial Segmentation from Magnetic Resonance Imaging

2020 PES GM 8/6 Panel Video: Machine Learning Applications to Energy Forecasting and Analytics

The Path to Robust Machine Learning: IEEE TechEthics Keynote with Richard Mallah

Big Data Panelist - Ritu Chadha: 2016 Technology Time Machine

2020 IEEE Honors: IEEE Spectrum Technology in the Service of Society Award- Philips

Opendenoising: An Extensible Benchmark For Building Comparative Studies Of Image Denoisers

Processing Convolutional Neural Networks On Cache

Learning A Generic Adaptive Wavelet Shrinkage Function For Denoising

Solving Non-Convex Non-Differentiable Min-Max Games Using Proximal Gradient Method

Towards An Intelligent Microscope: Adaptively Learned Illumination For Optimal Sample Classification

Learning Differentiable Sparse And Low Rank Networks For Audio-Visual Object Localization

A Novel Rank Selection Scheme In Tensor Ring Decomposition Based On Reinforcement Learning For Deep Neural Networks

Tech Super Stars Panelist - John Graham: 2016 Technology Time Machine

Classifying Anomalies For Network Security

Age-Based Scheduling Policy For Federated Learning In Mobile Edge Networks

A Regularized Attention Mechanism For Graph Attention Networks

Deep Learning Based Prediction Of Hypernasality For Clinical Applications

Big Data Panelist - AJ Bubb: 2016 Technology Time Machine

Brain Panelist - Jan Rabaey: 2016 Technology Time Machine

2016 IEEE Honors: IEEE/RSE James Clerk Maxwell Medal - Geoffrey Hinton

Tech Super Stars Panelist - Stuart Elby: 2016 Technology Time Machine

2020 IEEE Honors: IEEE John von Neumann Medal- Michael I. Jordan

Q&A with Mary Ward-Callan: IEEE Technology Time Machine Podcast, Episode 1

Opportunistic Use Of Gnss Signals To Characterize The Environment By Means Of Machine Learning Based Processing

Converting Written Language To Spoken Language With Neural Machine Translation For Language Modeling

Panel Q&A - Women Making the Future: 2016 Technology Time Machine

Brain Panel Introduction - Paul Sadja: 2016 Technology Time Machine

Big Data Panelist - Joe Weinman: 2016 Technology Time Machine

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Xplore Articles related to Machine To Machine

Energy and Spectrum Efficiency Trade-off of Non-Orthogonal Multiple Access (NOMA) over OFDMA for Machine-to-Machine Communication

Machine-to-Machine Communication: Development of a Subscriber Tracking System for a Given Area

A mechanism to control the congestion in machine-to-machine communication in LTE-A networks

Random Access Channel Management for Handling Massive Numbers of Machine-to- Machine Communication Devices

Designing Machine-to-Machine (M2M) Prototype System for Weight Loss Program for Obesity and Overweight Patients

A Survey on MAC Layer Protocols for **Machine to Machine** Communication

Impulse Radio Ultra Wideband for broadband indoor Machine-to-Machine communication networks: System performance evaluation

QPSK Transmission System for **Machine to Machine** Communication

**Machine to Machine** Trust in Smart Cities

Energy-saving scheduling in the 3GPP narrowband Internet of Things (NB-IoT) using energy-aware machine-to-machine relays

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Periodicals related to Machine To Machine

Applied Superconductivity, IEEE Transactions on

Audio, Speech, and Language Processing, IEEE Transactions on

Automatic Control, IEEE Transactions on

Biomedical Engineering, IEEE Transactions on

Circuits and Systems for Video Technology, IEEE Transactions on

Communications Magazine, IEEE

Computer

Computer Architecture Letters

Computers, IEEE Transactions on

Dielectrics and Electrical Insulation, IEEE Transactions on

Energy Conversion, IEEE Transaction on

Geoscience and Remote Sensing Letters, IEEE

Industrial Electronics, IEEE Transactions on

Industry Applications, IEEE Transactions on

Internet Computing, IEEE

Knowledge and Data Engineering, IEEE Transactions on

Magnetics, IEEE Transactions on

Medical Imaging, IEEE Transactions on

Microelectromechanical Systems, Journal of

Multimedia, IEEE Transactions on

Neural Networks, IEEE Transactions on

Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Plasma Science, IEEE Transactions on

Power Electronics, IEEE Transactions on

Power Systems, IEEE Transactions on

Proceedings of the IEEE

Robotics, IEEE Transactions on

Selected Areas in Communications, IEEE Journal on

Software Engineering, IEEE Transactions on

Solid-State Circuits, IEEE Magazine

Systems Journal, IEEE

Systems, Man, and Cybernetics, Part B, IEEE Transactions on

Vehicular Technology, IEEE Transactions on

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on

Visualization and Computer Graphics, IEEE Transactions on

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E-books related to Machine To Machine

Next Generation Internet of Things Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation

Chapter 32 Machine to Machine (M2M) Technology in Demand Responsive Commercial Buildings; David S. Watson, Mary Ann Piette, Osman Sezgen, Naoya Motegi

Chapter 16—Machine to Machine (M2M) Technology in Demand Responsive Commercial Buildings

Spectrum to Unlash Machine‐to‐Machine Uptake

2 Future Trends in IoT

Index

1 IoT EU Strategy, State of Play and Future Perspectives

SCADA FUNDAMENTALS AND APPLICATIONS IN THE IoT

Machine Type Communication (MTC)

Distributed Resource Allocation in 5G Cellular Networks

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Courses related to Machine To Machine

Transportation Electrification: Electric Machines in Electric Drive Trains

Introduction to Electric Machines

Machine Learning in a Data-Driven Business Environment

Electric Drives: Advanced Control & Encoder-less Operation

HVDC Transmission: System Interactions and Studies Part 2 (Archived)

Electric Drives: Understanding Basics

Microsoft Azure Hands On

Information Theoretic Learning

Permanent Magnet Motors

Top-Down Micro and Nano Manufacturing: Miniaturization at the Micro and Nano Scale

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Top Organizations on Machine To Machine

Circuits & Systems

Communications

Computational Intelligence

Computer

Control Systems

Dielectrics & Electrical Insulation

Electron Devices

Engineering in Medicine & Biology

Geoscience & Remote Sensing

Industrial Electronics

Industry Applications

Internet of Things

Magnetics

Nuclear & Plasma Science

Power & Energy

Power Electronics

Robotics & Automation

Signal Processing

Solid State Circuits

Systems Council

Systems, Man & Cybernetics

Technical Activities Board

Ultrasonics, Ferroelectrics & Frequency Control

Vehicular Technology

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Most published Xplore authors for Machine To Machine

C. M. Spargo

B. C. Mecrow

J. D. Widmer

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Machine To Machine

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Top Conferences on Machine To Machine

Top Videos on Machine To Machine

Xplore Articles related to Machine To Machine

Periodicals related to Machine To Machine

E-books related to Machine To Machine

Courses related to Machine To Machine

Top Organizations on Machine To Machine

Most published Xplore authors for Machine To Machine