Results 251 to 260 of about 12,418 (275)

Are Gandy Machines Really Local?

2016
This paper discusses the empirical question concerning the physical realization (or implementation) of a computation. We give a precise definition of the realization of a Turing-computable algorithm into a physical situation. This definition is not based, as usual, on an interpretation function of physical states, but on an implementation function from
FANO, VINCENZO, GRAZIANI, PIERLUIGI, Roberto Macrelli, TAROZZI, GINO   +3 more
openaire   +2 more sources

Generalized locality preserving Maxi–Min Margin Machine

Neural Networks, 2012
Research on large margin classifiers from the "local" and "global" view has become an active topic in machine learning and pattern recognition. Inspired from the typical local and global learning machine Maxi-Min Margin Machine (M⁴) and the idea of the Locality Preserving Projections (LPP), we propose a novel large margin classifier, the Generalized ...
Zhang, Zhancheng, Choi, Kup-Sze, Luo, Xiaoqing, Wang, Shitong   +3 more
openaire   +2 more sources

Fuzzy localization in machine-to-machine networks

2017
La localisation est un processus de base dans les réseaux Machine-to-Machine (M2M). Cette thèse présente une nouvelle approche pour la localisation des noeuds mobiles dans les réseaux M2M sans fil. Notre approche est basée sur la conception d'un système de localisation floue adaptatif. La première contribution proposée est de considérer les éléments de
Mathlouthi Baccar, Noura, Bouallegue, Ridha   +1 more
openaire   +1 more source

Machine Learning for Wideband Localization

IEEE Journal on Selected Areas in Communications, 2015
Wireless localization has a great importance in a variety of areas including commercial, service, and military positioning and tracking systems. In harsh indoor environments, it is hard to localize an agent with high accuracy due to non-line-of-sight (NLOS) radio blockage or insufficient information from anchors.
Thang Van Nguyen, Youngmin Jeong, Hyundong Shin, Moe Z. Win   +3 more
openaire   +1 more source

Sound localization: Human vs. machine

7th International Conference on Information and Automation for Sustainability, 2014
The Human shows a remarkable capability in localizing a sound source and navigating towards it. In the current context of robotic applications, machinery models have been developed, so that they can be used in sound source localization. But, it is not yet quantified the accuracy of human's sound source localization in different frequencies and ...
W. G. Nuwan Jayaweera, A. G. Buddhika P. Jayasekara, A. M. Harsha S. Abeykoon   +2 more
openaire   +1 more source

Target Localization using Machine Learning

2007
The miniaturization of sensors has made possible the use of these tiny components in hostile environments for monitoring purposes in the form of sensor networks. Due to the fact that these networks often work in a data centric manner, it is desirable to use machine learning techniques in data aggregation and control.
M. Palaniswami, Bharat Sundaram, Rama G. L. Jayavardhana, Alistair Shilton   +3 more
openaire   +1 more source

A Machine Learning based Indoor Localization

2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2020
Since many years, researchers and engineers are looking for a precise Indoor Positioning System (IPS) accurate in various indoor scenarios. Several techniques were used in order to reach this goal. Deterministic methods in IPS, based on the received signal strength (RSS), usually use the average value of RSS from different sensors.
Achref Gadhgadhi, Yassine Hachaichi, Hassen Zairi   +2 more
openaire   +1 more source

Local coupled extreme learning machine

Neural Computing and Applications, 2014
Due to the significant efficiency and simple implementation, extreme learning machine (ELM) algorithms enjoy much attention in regression and classification applications recently. Many efforts have been paid to enhance the performance of ELM from both methodology (ELM training strategies) and structure (incremental or pruned ELMs) perspectives. In this
openaire   +1 more source

Improving underwater localization accuracy with machine learning

Review of Scientific Instruments, 2018
Machine learning classification and regression algorithms were applied to calibrate the localization errors of a time-difference-of-arrival (TDOA)-based acoustic sensor array used for tracking salmon passage through a hydroelectric dam on the Snake River, Washington, USA. The locations of stationary and mobile acoustic tags were first tracked using the
Lynn T, Rauchenstein, Abhinav, Vishnu, Xinya, Li, Zhiqun Daniel, Deng   +3 more
openaire   +2 more sources

Machine Learning Based Localization Techniques

Advances in Artificial Intelligence and Machine Learning
Internet of Things (IoT) is growing at a pace that can be called ubiquitous. IoTs can be nominated as a subfield of a superset known as Wireless Sensor Networks (WSNs). These sensors are used for remote monitoring, target tracking, efficient transportation, industrial monitoring, patient observation through physiological sensors, smart agriculture ...
Aamir Zeb Shaikh, Shakil Ahmed, Kiran Hidayat, Minaal Ali, Abdul Rahim, Yamna Iqbal   +5 more
openaire   +1 more source