Filters








58 Hits in 3.9 sec

Table of contents

2018 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
on Arduino Platform and News Mining Technique for Students' Insights on the sensing module 3.4 8.6 14.5 17.2 25.5 1570493045 1570493237 Track 12 Artificial Intelligence and Electronic Instrumentation  ...  Microstrip Patch Antenna 288-290 1570493760 Building Towards "Invisible Cloak": Robust Physical Adversarial Attack on YOLO Object Detector 368-374 1570488210 LBSNN: Neural Networks-based Moving Sink 375  ... 
doi:10.1109/uemcon.2018.8796751 fatcat:rp2ptti5pzckfirdmwm6yao7wu

Conference Main Schedule Time

2021 2021 Asian Conference on Innovation in Technology (ASIANCON)  
Crop Yield Prediction using Machine Learning Algorithm 2.31 PM 2.45 PM 5 730 Raghuvendra P Tripathi A Survey on Efficient Realization of Activation Functions of Artificial Neural Network  ...  Bidkar Virtual ECU Development for Vehicle Diagnostics Software Testing using UDS Protocol 4.45 PM 5.00 PM 5 495 Soumyaranjan Pal A New Power-Gated Hybrid Defect Tolerant Approach Based on  ... 
doi:10.1109/asiancon51346.2021.9545015 fatcat:w3l7lyaw4vgjbdpg772fm53du4

Nanomaterial Fabricated Patch Antenna for Super High Frequency Applications

Dr. Ambresh Prabhakar Ambalgi
2021 Zenodo  
Vinod Kumar Singh [68] implemented a novel coaxial probe stream, a dual-bandwidth microstrip antenna using Artificial Neural Network soft computing tool.  ...  Vinod Kumar Singh [68] implemented a novel coaxial probe stream, a dual-bandwidth microstrip antenna using Artificial Neural Network (ANN) soft computing tool.  ... 
doi:10.5281/zenodo.5148488 fatcat:cdoqxf3odzgozgpd65fnx7wexm

A Review: Circuit Theory of Microstrip Antennas for Dual-, Multi-, and Ultra-Widebands [chapter]

Ashish Singh, Krishnananda Shet, Durga Prasad, Akhilesh Kumar Pandey, Mohammad Aneesh
2020 Modulation in Electronics and Telecommunications [Working Title]  
In this chapter, a review has been presented on dual-band, multiband, and ultra-wideband (UWB).  ...  They applied a multilayer perceptron artificial neural network (MLPANN) for the analysis of antenna design on varying size of notches.  ...  [73] designed an H-shaped rectangular structure on IE3D simulation software and achieved triple band for PCS and WiMAX applications.  ... 
doi:10.5772/intechopen.91365 fatcat:v5tz76iduvbmlpyhpavjw4x4wa

Atomistic structure learning

Mathias S. Jørgensen, Henrik L. Mortensen, Søren A. Meldgaard, Esben L. Kolsbjerg, Thomas L. Jacobsen, Knud H. Sørensen, Bjørk Hammer
2019 Journal of Chemical Physics  
Neural network and DFT calculations were parallelized over the same set of cores on one node.  ...  network based on experience spells the string for the most promising next drug to be tested. 12 For instance, generative adversarial networks (GANs) have been utilized for this. 13 The strength of  ... 
doi:10.1063/1.5108871 fatcat:ei3ifv26ivhupiuwtkfap7lnci

Intrinsic Josephson Effect and Horizons of Superconducting Spintronics [article]

Anatolie Sidorenko
2022 arXiv   pre-print
International Conference on Intrinsic Josephson Effect and Horizons of Superconducting Spintronics.  ...  The 12th International Conference on Intrinsic Josephson Effect and Horizons of Superconducting Spintronics, 22-25 September 2021, Chisinau, Moldova; Abstract Book, The editor Anatolie Sidorenko ; organizing  ...  on superconductor spintronics."  ... 
arXiv:2208.08412v1 fatcat:dbbusvd6yfeprfzk2tvutsjy3i

Frequency Selective Surfaces: A Review

Rana Anwar, Lingfeng Mao, Huansheng Ning
2018 Applied Sciences  
In this review article, we illustrate the recent researches on different categories of FSSs based on structure design, array element used, and applications.  ...  FSS is a periodic surface with identical two-dimensional arrays of elements arranged on a dielectric substrate.  ...  neural network (ANN).  ... 
doi:10.3390/app8091689 fatcat:6hygnr6czfh27nzlgk2rryokqu

Assessing the Relative Stability of Dimer Interfaces in G Protein-Coupled Receptors

Jennifer M. Johnston, Hao Wang, Davide Provasi, Marta Filizola, Emad Tajkhorshid
2012 PLoS Computational Biology  
This work does not support the putative chemical-gate structure of neural operation. Nor does it support the concept of a chemically based synapse between neurons.  ...  The reported observations have all relied on electronic circuitry involving the flow of electrons to support the putative flow of heavy ions.  ...  How do we analyze the functioning of such a complex network?"  ... 
doi:10.1371/journal.pcbi.1002649 pmid:22916005 pmcid:PMC3420924 fatcat:pkeo35mbtjetrjgkmxux73k22m

2021 Index IEEE Transactions on Electron Devices Vol. 68

2021 IEEE Transactions on Electron Devices  
Nastasi, G., +, TED Sept. 2021 4729-4734 Artificial Neural Network-Based Compact Modeling Methodology for Advanced Transistors.  ...  ,Artificial Neural Network-Based Compact Modeling Methodology for Advanced Transistors; TED March 2021 1318-1325 Wang, J., and Chen, W., A New Method to Measure the Parasitic Parameter Model of IGBT on  ...  Huh, I., see Jeong, C., TED Nov. 2021 5364-5371 Hung, C., see Tsui, B., TED Dec. 2021 6644-6647 Hung, P., Li, C., Min, K., and Chu, S. , Investigations of the Effects of the Orientation of AlN-Based  ... 
doi:10.1109/ted.2021.3138305 fatcat:37sowz27xjc4bjhktlrldi2nja

An Indicating, Leading Manipulator as a Good Hand at Teaching Strokes: A Mental-Image-Creation Support System [chapter]

Yoshihiko Nomura, Haruki Kakehashi, Tokuhiro Sugiura, Hirokazu Matsui, Norihiko Kato
2004 Lecture Notes in Computer Science  
Of the 63 courses offered by the department, 31 are practical ones.  ...  A couple of preeminent functions are embedded to the process: one is the indicating function, and the other is the leading function.  ...  To rate a text's reading level, two types of model are used: multiple regression and neural networks.  ... 
doi:10.1007/978-3-540-27817-7_105 fatcat:knf3k3iadvbenh6zdbn3673vim

Searches for Continuous-Wave Gravitational Radiation [article]

Keith Riles
2022 arXiv   pre-print
This material is based in part upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation.  ...  Another study (Beheshtipour and found that a convolutional neural network proved efficient in clustering Einstein@Home search outliers, to reduce computational cost in follow-up, with a different tuning  ...  Another recent study examined the potential for combining convolutional neural network analysis with Doppler demodulation for the Earth's diurnal rotation in an all-sky search (Yamamoto and Tanaka, 2021  ... 
arXiv:2206.06447v1 fatcat:sz4ljlvih5dateogbqvbi4clw4

Self-assembly of Organic Nanomaterials and Biomaterials: The Bottom-Up Approach for Functional Nanostructures Formation and Advanced Applications

Domenico Lombardo, Pietro Calandra, Luigi Pasqua, Salvatore Magazù
2020 Materials  
Correction and harmonization of unwanted processes is one of the major challenges of the next decades and requires a deeper knowledge and understanding of the key factors that drive the formation of nanomaterials  ...  For each of the seven mesophases identified, two separate models have been developed, i.e., multiple linear regression (MLR) and Bayesian regularized artificial neural networks (ANNs).  ...  The experimental data, acquired by high throughput characterization techniques, were used to train the (neural networks) machine.  ... 
doi:10.3390/ma13051048 pmid:32110877 pmcid:PMC7084717 fatcat:hxp4ev2p3zcfff3vl25zbhv3vi

Materials and Transducers Toward Selective Wireless Gas Sensing

Radislav A. Potyrailo, Cheryl Surman, Nandini Nagraj, Andrew Burns
2011 Chemical Reviews  
Active And Passive Wireless Sensors Wireless gas sensors are based on different detection principles depending on the type of sensing materials and associated transducers used to provide the required sensitivity  ...  The communication distance depends on several parameters including the power stored on-board the sensor or delivered to the sensor, the power needed for the sensor to operate at a predetermined signal-to-noise  ...  sensitivity and selectivity of organic linkers in metal nanoparticle networks are difficult to rationally predict based on existing knowledge.  ... 
doi:10.1021/cr2000477 pmid:21899304 pmcid:PMC3212628 fatcat:rnsbmyk6hncz3lwoaf6gl5kwna

Predicting room acoustical behavior with the ODEON computer model

Graham Naylor, Jens Holger Rindel
1992 Journal of the Acoustical Society of America  
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A.  ...  Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related  ...  The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network.  ... 
doi:10.1121/1.404931 fatcat:z4hbezklfzgu7hyy7qvos3wyo4

Modeling and experiments with low‐frequency pressure wave propagation in liquid‐filled, flexible tubes

Cato Bjelland, Leif Bjo/rno/
1992 Journal of the Acoustical Society of America  
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A.  ...  Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related  ...  The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network.  ... 
doi:10.1121/1.404777 fatcat:xhmwz65h5bbqxbt52khae2rq7q
« Previous Showing results 1 — 15 out of 58 results