Relevant bibliographies by topics / Neurocomputing device

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Neurocomputing device'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Neurocomputing device"

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Rasras, Rashad J. "Neurocomputing Device for Image Processing and Classification." Journal of Computer Science, no. 2 (February 1, 2005): 89–91. http://dx.doi.org/10.3844/jcssp.2005.89.91.

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Calayir, Vehbi, and Larry Pileggi. "Device Requirements and Technology-Driven Architecture Optimization for Analog Neurocomputing." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 5, no. 2 (2015): 162–72. http://dx.doi.org/10.1109/jetcas.2015.2426497.

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Al-Shidaifat, AlaaDdin, Shubhro Chakrabartty, Sandeep Kumar, Suvojit Acharjee, and Hanjung Song. "A Novel Characterization and Performance Measurement of Memristor Devices for Synaptic Emulators in Advanced Neuro-Computing." Micromachines 11, no. 1 (2020): 89. http://dx.doi.org/10.3390/mi11010089.

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The advanced neuro-computing field requires new memristor devices with great potential as synaptic emulators between pre- and postsynaptic neurons. This paper presents memristor devices with TiO2 Nanoparticles (NPs)/Ag(Silver) and Titanium Dioxide (TiO2) Nanoparticles (NPs)/Au(Gold) electrodes for synaptic emulators in an advanced neurocomputing application. A comparative study between Ag(Silver)- and Au(Gold)-based memristor devices is presented where the Ag electrode provides the improved performance, as compared to the Au electrode. Device characterization is observed by the Scanning Electr
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Felix, A. Pyatakovich* Lubov V. Khlivnenko Tatyana I. Yakunchenko Kristina F. Makkonen Olga V. Mevsha. "A COMPARATIVE ANALYSIS OF THE RESULTS OF CONVENTIONAL AND COMBINED METHODS OF TRAINING DIRECT PROPAGATION NEURAL NETWORK IN HEALTHY PERSONS TO DETECTING THE DEGREE OF ACTIVITY OF AN AUTONOMOUS NERVOUS SYSTEM." Indo American Journal of Pharmaceutical Sciences 04, no. 09 (2017): 3075–79. https://doi.org/10.5281/zenodo.910741.

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The article deals with a comparative analysis of the efficiency of an artificial neural network (ANN) trained with the help of algorithm back propagation, and of that trained by combining a back propagation algorithm and a variant of Cauchy stochastic training, in detecting the degree of activity of an autonomous nervous system. For the purposes realization of the project has been developed a biotechnical system, including technical device for input electrophysiological information in mode on-line. To evaluate the clinical effectiveness of the classification, records of interpulse intervals in
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Abed Salman, Mahdi, and Muhammed A. Mahdi. "Multi-Strategy Fusion for Enhancing Localization in Wireless Sensor Networks (WSNs)." Iraqi Journal For Computer Science and Mathematics 5, no. 1 (2024): 299–326. http://dx.doi.org/10.52866/ijcsm.2024.05.01.021.

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Localization in wireless sensor networks (WSNs) plays a crucial role in various applications thatrely on spatial information. This paper introduces the Multi-Strategy Fusion for Localization model, whichintegrates optimization techniques (ABO, DSA, EHO, and KNN) and neurocomputing techniques (BP, MTLSTM,BILSTM, and Autoencoder) to enhance localization accuracy in WSNs. The work is divided into three phases: datacollection, model building, and implementation. The first and the last are carried out in the field, while the secondis made in the laboratory. The three phases involve a few general st
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Chang, Shu-Hao, and Chin-Yuan Fan. "Using Patent Technology Networks to Observe Neurocomputing Technology Hotspots and Development Trends." Sustainability 12, no. 18 (2020): 7696. http://dx.doi.org/10.3390/su12187696.

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In recent years, development in the fields of big data and artificial intelligence has given rise to interest among scholars in neurocomputing-related applications. Neurocomputing has relatively widespread applications because it is a critical technology in numerous fields. However, most studies on neurocomputing have focused on improving related algorithms or application fields; they have failed to highlight the main technology hotspots and development trends from a comprehensive viewpoint. To fill the research gap, this study adopts a new viewpoint and employs technological fields as its mai
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Тихомиров, Виктор, Viktor Tikhomirov, Надежда Новикова, and Nadezhda Novikova. "Application of neurocomputing robust design to optimize the friction sintered powder material." Bulletin of Bryansk state technical university 2014, no. 3 (2014): 81–84. http://dx.doi.org/10.12737/23225.

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The paper presents a methodology for selecting the optimal composition of the friction sintered powder material to the safety of the friction devices using a neurocomputer robust design to reduce the search time and reduce the cost of the experiment and the analysis of the computational experiment.
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Lo Sciuto, Grazia, Christian Napoli, Paweł Kowol, et al. "Multilayer Plasmonic Nanostructures for Improved Sensing Activities Using a FEM and Neurocomputing-Based Approach." Sensors 22, no. 19 (2022): 7486. http://dx.doi.org/10.3390/s22197486.

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In order to obtain optimized elementary devices (photovoltaic modules, power transistors for energy efficiency, high-efficiency sensors) it is necessary to increase the energy conversion efficiency of these devices. A very effective approach to achieving this goal is to increase the absorption of incident radiation. A promising strategy to increase this absorption is to use very thin regions of active material and trap photons near these surfaces. The most effective and cost-effective method of achieving such optical entrapment is the Raman scattering from excited nanoparticles at the plasmoni
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Naz, Sidra, Muhammad Asif Zahoor Raja, Ammara Mehmood, and Aneela Zameer Jaafery. "Intelligent Predictive Solution Dynamics for Dahl Hysteresis Model of Piezoelectric Actuator." Micromachines 13, no. 12 (2022): 2205. http://dx.doi.org/10.3390/mi13122205.

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Piezoelectric actuated models are promising high-performance precision positioning devices used for broad applications in the field of precision machines and nano/micro manufacturing. Piezoelectric actuators involve a nonlinear complex hysteresis that may cause degradation in performance. These hysteresis effects of piezoelectric actuators are mathematically represented as a second-order system using the Dahl hysteresis model. In this paper, artificial intelligence-based neurocomputing feedforward and backpropagation networks of the Levenberg–Marquardt method (LMM-NNs) and Bayesian Regularizat
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Geng, Xueli, Qin Gao, Gang Wu, et al. "Stable and Tunable Quantum Conductance in Spider-Silk-like Synaptic Device for Neurocomputing." ACS Applied Materials & Interfaces, July 16, 2024. http://dx.doi.org/10.1021/acsami.4c06328.

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Dissertations / Theses on the topic "Neurocomputing device"

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Денисенко, Т. М. "Телепатія та інтернет". Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/38778.

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Телепатія - можливість мозку передавати почуття, думки та неусвідомлюваний стан іншому організму або навпаки приймати подібну інформацію. Термін перший раз вжитий у 1882 році Фредеріком Мейерсом. Більшість вчених вважає, що через відсутність біологічних передумов, телепатія – є неможливою, а досліди – псевдонаукою.
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Calayir, Vehbi. "Neurocomputing and Associative Memories Based on Emerging Technologies: Co-optimization of Technology and Architecture." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/422.

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Neurocomputers offer a massively parallel computing paradigm by mimicking the human brain. Their efficient use in statistical information processing has been proposed to overcome critical bottlenecks with traditional computing schemes for applications such as image and speech processing, and associative memory. In neural networks information is generally represented by phase (e.g., oscillatory neural networks) or amplitude (e.g., cellular neural networks). Phase-based neurocomputing is constructed as a network of coupled oscillatory neurons that are connected via programmable phase elements. R
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Book chapters on the topic "Neurocomputing device"

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Swapnalin, Jhilmil, Tapasi Ghosh, Bhargavi Koneru, and Prasun Banerjee. "Artificial Intelligence Advancements in Neurocomputing for MXene-Based Artificial Synapses Devices." In ACS Symposium Series. American Chemical Society, 2023. http://dx.doi.org/10.1021/bk-2023-1443.ch005.

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Conference papers on the topic "Neurocomputing device"

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Ceze, L., J. Hasler, K. K. Likharev, et al. "Nanoelectronic neurocomputing: Status and prospects." In 2016 74th Annual Device Research Conference (DRC). IEEE, 2016. http://dx.doi.org/10.1109/drc.2016.7548506.

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Johnson, Kristina M., Mark A. Handschy, and Garret Moddel. "Recent Advances and Applications of Ferroelectric Liquid Crystal Spatial Light Modulators." In Spatial Light Modulators and Applications. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/slma.1988.we2.

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Optical computing systems offer increased information processing throughput rates by taking advantage of parallel optical architectures. The fundamental component in these architectures is a device which can modulate two-dimensional optical data. These devices, known as spatial light modulators (SLMs) have many applications including input/output data displays, spatial and matched filtering, incoherent- coherent light converters, optical crossbar switches, optical interconnection networks, and neurocomputing. The ideal system requirements placed on SLMs include high resolution (100 lp/mm), 100
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Hammerstrom, Dan. "DARPA neurocomputing." In 2015 IEEE International Electron Devices Meeting (IEDM). IEEE, 2015. http://dx.doi.org/10.1109/iedm.2015.7409630.

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Johnson, Kristina M. "Ferroelectric liquid crystal electrooptic devices." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.tut1.

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Meyer et al. showed in 1975 that in certain conditions smectic c liquid crystals will be ferroelectric with a macroscopic polarization p lying in the (x, y) plane of the molecular layers. In 1980, Clark and Lagerwall demonstrated a submicrosecond liquid crystal switch by inducing ferroelectricity in 2 [cf9]m[cf341]m of LC material surface stabilized between two glass plates. This tutorial discusses the present and fundamental operating characteristics of ferroelectric LCs including response time, contrast ratio, switching energy, resolution, and size in optical interconnection, neurocomputing,
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Singh, R., J. R. Cruz, F. Radpour, and M. J. Semnani. "Novel applications of high temperature superconductivity: Neurocomputing." In Topical conference on high tc superconducting thin films, devices, and applications. AIP, 1989. http://dx.doi.org/10.1063/1.37935.

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Zhang, Ling, Jack Bigner, Lise Cotter, and Kristina M. Johnson. "Optical neurocomputing using liquid crystal spatial light modulators." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.thz7.

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The significant feature of neurocomputers is their highly interconnected architectures. Fast switching speeds are not essential. Therefore, the devices required to build these computing networks have the design specifications of low-energy dissipation and the need to scale with network size. Nematic and ferroelectric liquid crystals have the characteristics of low switching energy (subpicojoule), large size (commonly used in flat panel displays), and sufficient operating speeds (milliseconds to microseconds).
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Journal articles
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