Results 1 to 10 of about 3,609,102 (305)
Wireless Machine-to-Machine Networks [PDF]
International Journal of Distributed Sensor Networks, 2012 1 School of Electronics and Applied Science, Aston University, Birmingham B4 7ET, UK 2Simula Research Laboratory, Fornebu, 1325 Lysaker, Norway 3Telecommunications Research Laboratory, Toshiba Research Europe Ltd., Bristol BS1 4ND, UK 4Department of Engineering Science, National Cheng Kung University, Tainan City 70101, Taiwan 5School of Electronic and
Jianhua He +4 more
doaj +3 more sources
Wireless Machine-to-Machine Networks 2013 [PDF]
International Journal of Distributed Sensor Networks, 2014 Editorial
Jianhua He +4 more
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Energy Versus Throughput Optimisation for Machine-to-Machine Communication [PDF]
Sensors, 2020 We investigate the trade-off between energy usage and (packet) throughput in wireless mesh networks performing machine-to-machine communication.
Emma Fitzgerald +2 more
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Machine to Machine Comunication Management
Revista Cubana de Ingeniería, 2015 Today are a lot of devices or machines that communicates between each other without human interaction,this technology is actually known as “Machine to machine communications.
Andres Melian Navas +1 more
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Machine Learning: Algorithms, Real-World Applications and Research Directions
SN Computer Science, 2021 In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc.
Iqbal H. Sarker
semanticscholar +1 more source
Nutritional Status and Body Composition in Wilson Disease: A Cross-Sectional Study From China
Frontiers in Nutrition, 2021 Background: Abnormal nutritional status is frequently seen in patients with chronic diseases. To date, no study has investigated the detailed characteristics of abnormal nutritional status among Wilson's disease (WD) patients in the Chinese cohort.
Hao Geng +21 more
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A Survey on Bias and Fairness in Machine Learning [PDF]
ACM Computing Surveys, 2019 With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems.
Ninareh Mehrabi +4 more
semanticscholar +1 more source
Genetically Optimized UFLANN for Uncovering Clusters
IEEE Access, 2023 In this work, we present a novel clustering approach which is inheriting the best characteristics of Unsupervised Functional Link Artificial Neural Network (UFLANN) and Genetic Algorithms (GAs) for uncovering clusters embedded in dataset represented ...
Himanshu Dutta +4 more
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Membership Inference Attacks Against Machine Learning Models [PDF]
IEEE Symposium on Security and Privacy, 2016 We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained. We focus on the basic membership inference attack: given a data record and black-box access to a model, determine if ...
R. Shokri +3 more
semanticscholar +1 more source
A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications
Sensors, 2021 We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber–Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0
Lorenzo Patera +4 more
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