Improving sample efficiency and multi-agent communication in RL-based train rescheduling [PDF]
, 2020 We present preliminary results from our sixth placed entry to the Flatland international competition for train rescheduling, including two improvements for optimized reinforcement learning (RL) training efficiency, and two hypotheses with respect to the ...
Egli, Adrian +6 more
core +2 more sources
Reliable machine-to-machine multicast services with multi-radio cooperative retransmissions [PDF]
, 2015 The final publication is available at Springer via http://dx.doi.org/10.1007/s11036-015-0575-6The 3GPP is working towards the definition of service requirements and technical solutions to provide support for energy-efficient Machine Type Communications ...
Alonso Zárate, Luis Gonzaga +3 more
core +2 more sources
INTERACTIVE NARRATION IN THE DIGITAL AGE [PDF]
, 2008 Interactive narration based on new media has become important research topic for post-narratology. It features non-linearity and can be classified as person-to-person, person-to-machine, and machine-to-machine.
Huang, Minfen
core +2 more sources
Characterization of Coded Random Access with Compressive Sensing based Multi-User Detection [PDF]
, 2014 The emergence of Machine-to-Machine (M2M) communication requires new Medium Access Control (MAC) schemes and physical (PHY) layer concepts to support a massive number of access requests.
Bockelmann, Carsten +4 more
core +2 more sources
Self-management of machine-to-machine communications: a multi-models approach [PDF]
, 2016 International audienceMachine-to-Machine (M2M) paradigm apply to systems composed by numerous devices sharing information and making cooperative decisions with little or no human intervention.
Eichler, Cédric +4 more
core +2 more sources
Enabling stream processing for people-centric IoT based on the fog computing paradigm [PDF]
, 2017 The world of machine-to-machine (M2M) communication is gradually moving from vertical single purpose solutions to multi-purpose and collaborative applications interacting across industry verticals, organizations and people - A world of Internet of Things
Akrivopoulos, Orestis +3 more
core +1 more source
GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model
Big Data Mining and AnalyticsThe pursuit of optimal neural network architectures is foundational to the progression of Neural Architecture Search (NAS). However, the existing NAS methods suffer from the following problem using traditional search strategies, i.e., when facing a large
Caiyang Yu +7 more
doaj +1 more source
A Study on Tooth Wear Mechanisms During the Bandsawing of Cr12MoV with a Bimetal Bandsaw Blade
CrystalsBandsaw blades are typical band-shaped cutting tools that are characterized by their low stiffness and micro-level cutting depth, resulting in distinct wear mechanisms compared to rigid cutting tools.
Yuzhen Jia +5 more
doaj +1 more source
Information, 2022 Class imbalance is one of the significant challenges in classification problems. The uneven distribution of data samples in different classes may occur due to human error, improper/unguided collection of data samples, etc.
Subhashree Rout +3 more
doaj +1 more source
Application Protocols enabling Internet of Remote Things via Random Access Satellite Channels
, 2017 Nowadays, Machine-to-Machine (M2M) and Internet of Things (IoT) traffic rate is increasing at a fast pace. The use of satellites is expected to play a large role in delivering such a traffic. In this work, we investigate the use of two of the most common
Bacco, Manlio +2 more
core +1 more source