Results 251 to 260 of about 2,322 (298)

Artificial Intelligence in Metal Additive Manufacturing: Applications in Design, Process Modeling, Monitoring, and Quality Optimization. [PDF]

Materials (Basel)
Sustacha J, Uralde V, Rodríguez-Díaz Á, Veiga F.   +3 more
europepmc   +1 more source

Elucidating formability limits in warm incremental sheet forming of AZ61 magnesium alloy using integrated grey relational and data-driven analysis. [PDF]

Sci Rep
Magdum AR, Magdum RA, Chinnaiyan P, Patil P, Khot A, Barah OO.   +5 more
europepmc   +1 more source

Comparative analysis of temperature effect on bandgap characteristics in 1D phononic crystals: Periodic versus quasiperiodic structures. [PDF]

PLoS One
Heravi FJ, Elsayed HA, Hajjiah A, Bin-Jumah M, Alqhtani HA, Abukhadra MR, Solouma E, Nayak S, Al Zoubi W, Mehaney A.   +9 more
europepmc   +1 more source

Open Blink: Low-cost TIRF microscopy for super-resolution imaging via µ Manager

Huo R, Komen J, Engelhardt M, Millot A, Extermann J, Grußmayer K.   +5 more
europepmc   +1 more source

Anodic Dissolution Characteristics of GH4169 Alloy in NaNO₃ Solutions by Roll-Print Mask Electrochemical Machining Using the Linear Cathode. [PDF]

Materials (Basel)
Qin G, Li S, Han L, Liu H, Niu S, Ming P, Yan L.   +6 more
europepmc   +1 more source

Sustainability Awareness in Manufacturing: A Review of IoT Audio Sensor Applications in the Industry 5.0 Era. [PDF]

Sensors (Basel)
Ferrisi S.
europepmc   +1 more source

Local Rademacher Complexity Machine [PDF]

Neurocomputing, 2019
Abstract Support Vector Machines (SVMs) are a state-of-the-art and powerful learning algorithm that can effectively solve many real world problems. SVMs are the transposition of the Vapnik–Chervonenkis (VC) theory into a learning algorithm. In this paper, we present the Local Rademacher Complexity Machine (LRCM), a transposition of the Local ...
Oneto L., Ridella S., Anguita D.
openaire   +3 more sources

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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

Inference Machines for supervised Bluetooth localization

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
State space models, such as Kalman filters or Particle filters, have been applied to improve the accuracy of radio-wave-based localization. However, these models can drift radically when assumptions of the models are violated, and they do not have a mechanism to fix errors.
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose   +3 more
openaire   +1 more source

Relevance vector machine for UWB localization

2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014
Wireless localization systems have a great importance in a variety of fields such as positioning and tracking systems. Specifically, in hash conditions, e.g., indoor environments, it is difficult to localize an agent with high accuracy due to radio blockage or insufficient information of anchors.
Thang Van Nguyen, Youngmin Jeong, Hyundong Shin   +2 more
openaire   +1 more source