Gotowe bibliografie tematyczne / DPN synthetic acceleration

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Gotowa bibliografia na temat „DPN synthetic acceleration”

Autor: Grafiati

Data publikacji: 25 stycznia 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "DPN synthetic acceleration"

Gao, Yifan. "Research on Hardware Acceleration Optimisation Strategies for Deep Learning in Computer Vision." Highlights in Science, Engineering and Technology 111 (August 19, 2024): 554–59. http://dx.doi.org/10.54097/cnqx4b90.

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As deep neural network (DNN) models get larger and more complicated, the importance of hardware acceleration becomes more and more apparent. This paper discusses various hardware acceleration strategies for deep learning, especially in the area of computer vision. It explores the use of GPUs, FPGAs, and ASICs, detailing their respective strengths and weaknesses in accelerating DNNs. This paper argues that the future of DNN hardware acceleration lies in hybrid approaches that combine the advantages of different architectures. Software advances such as improved compilers and synthesis tools will

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Nurul, Muhammad, Syamsurijal Rasimeng, Ida Bagus Suananda Yogi, Aprillia Yulianata, and Aisah Yuliantina. "FORWARD MODELLING METODE GAYABERAT DENGAN MODEL INTRUSI DAN PATAHAN MENGGUNAKAN OCTAVE." JURNAL GEOCELEBES 4, no. 2 (2020): 111–17. http://dx.doi.org/10.20956/geocelebes.v4i2.10112.

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The gravity method is a geophysical exploration method to measure variations in the acceleration of gravity on the surface of the earth in response to variations in rocks that exist beneath the surface. In gravity exploration requires a preliminary picture as a reference for measurement. This study aims to make forward modeling synthetic OCTAVE based using synthetic data on subsurface rock structures, so as to produce intrusion and fracture models based on differences in the value of the acceleration of gravity from one point to another on the surface of the earth. Synthetic modeling with the

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Ni’matuzahroh, Ni’matuzahroh, Arif Yachya, and Mulyadi Tanjung. "STUDI PERBANDINGAN BIOSURFAKTAN Pseudomonas aeruginosa IA7d DAN SURFAKTAN SINTETIK Tween-80 DALAM BIODEGRADASI SOLAR OLEH MIKROBA PERAIRAN PELABUHAN TANJUNG PERAK SURABAYA." Berkala Penelitian Hayati 12, no. 1 (2006): 13–18. http://dx.doi.org/10.23869/bphjbr.12.1.20063.

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This research aimed to know the influence of addition crude product Pseudomonas aeruginosa IA7d biosurfactant from substrate hexadecane and diesel fuel in supporting activity of diesel fuel biodegradation and both potention to replace synthetic surfactant for hydrocarbon remediation. Biodegradation test was done by experimental in laboratory scale by Tween-80 as synthetic surfactant comparator. Growth culture was from seawater of Tanjung Perak Harbor Surabaya include various microbe types in its. 2 percent (w/v) of diesel fuel and three surfactants test (0.70 percent w/v crude product P. aerug

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Misriani, Merley. "Site Specific Response Analysis Kota Padang dari Input motion Conditional Mean Spectrum (CMS) Menggunakan Software NERA." Jurnal Ilmiah Rekayasa Sipil 14, no. 2 (2017): 28–38. http://dx.doi.org/10.30630/jirs.14.2.104.

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Dalam perencanaan struktur bangunan tahan gempa, tujuan umum dari analisa struktur dinamis adalah memprediksi respons dari struktur terhadap pengaruh ground motion yang memiliki Spectral Acceleration (Sa) pada periode tertentu berdasarkan tingkat kemungkinan terlampui (Probability of Excedence/PE) 10% atau 2% masa layan bangunan 50 tahun. Prediksi respons struktur ditentukan dengan memilih ground motion yang cocok dengan beberapa target spektra dan nantinya ground motion tersebut digunakan sebagai input dalam analisis dinamis struktur. Pada paper ini menyajikan analisis perambatan gelombang ge

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Sabda Dwi Arvinda, Rayhan Al-Hayubi, Nazwa Amelia Purnama, Ardian Sah, and Diyajeng Luluk Karlina. "Tinjauan Komparatif Potensi dan Efikasi Medan Elektromagnetik Extremely Low Frequency (ELF) dalam Mendukung Kesehatan dan Regenerasi Tulang." Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer 2, no. 6 (2024): 76–83. http://dx.doi.org/10.61132/mars.v2i6.511.

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Bone health is a vital element in the quality of life aspect, especially with the increasing risk of osteoporosis and fractures with age. Extremely Low Frequency (ELF) electromagnetic field therapy offers the potential for bone regeneration through collagen synthesis, osteoblast stimulation, and molecular signal modulation. This study evaluates the potential and efficacy of ELF for bone health based on scientific literature. The results of the analysis show that ELF is effective in accelerating healing, increasing bone density, and is safe at certain intensities. However, optimization of param

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Shibata, T., F. G. Cosio, and D. J. Birmingham. "Complement activation induces the expression of decay-accelerating factor on human mesangial cells." Journal of Immunology 147, no. 11 (1991): 3901–8. http://dx.doi.org/10.4049/jimmunol.147.11.3901.

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Abstract In the present study we evaluated the effect of complement activation by immune complexes (IC) on the expression of decay-accelerating factor (DAF) on human mesangial cells (MC). MC in culture were incubated with an Ag (DNP-Gelatin) that binds to fibronectin present in the MC matrix. Subsequently, MC were incubated with anti-DNP antibodies in the presence of human serum. By immunoperoxidase staining we showed that these incubations resulted in IC formation and deposition of human C3 and terminal complement components (C5b-9) on the mesangial matrix and on the surface of MC. By immunop

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Sofwan, Ahmad Gazali, Ahmad Hafizullah, Adiansyah Adiansyah, and Rika Rosalinda Tampubolon. "PENGARUH MINYAK SAWIT MERAH (RPO) DAN MINYAK ZAITUN MURNI (EVOO) TERHADAP PERTUMBUHAN RAMBUT PADA KELINCI." JURNAL FARMANESIA 4, no. 2 (2017): 105–9. http://dx.doi.org/10.51544/jf.v4i2.2710.

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Haircare products are very important to prevent one of the problems of hair damage, both from synthetic and natural ingredients. One of the natural ingredients of hair care products is Red Palm Oil (RPO) and Extra Virgin Olive Oil (EVOO). This research is an experimental study that aims to see whether Red Palm Oil and Extra Virgin Olive Oil have effectiveness in growing hair. This research method used 4 groups of test animals, namely the red palm oil group, extra virgin olive oil, negative control (aqua dest), and positive control (minoxidil). The hair growth activity test was carried out by a

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Jauhariyah, Nur Anim, Fajar Isnaini, and Ahmad Munib Syafa'at. "PRIORITAS SINTESIS RATER AGREEMENT OBYEK DAN DAYA TARIK WISATA DI KABUPATEN BANYUWANGI." Ekosiana Jurnal Ekonomi Syari ah 9, no. 1 (2022): 17–28. http://dx.doi.org/10.47077/ekosiana.v9i1.196.

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The tourism sector is one of the efforts in accelerating the increase in regional original income in Banyuwangi Regency in a sustainable manner during the pandemic and endemic period. This study aims to analyze the priority of rater agreement synthesis with Kendall's coefficient of concordance on objects and tourist attractions in optimizing local revenue in Banyuwangi Regency. This study uses a quantitative approach with the support of a qualitative approach through interviews and questionnaires to a number of experts. The sampling technique in this study was carried out by purposive sampling

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Moghaddasi, Iraj, and Byeong-Gyu Nam. "Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing." Machine Learning and Knowledge Extraction 6, no. 3 (2024): 1484–93. http://dx.doi.org/10.3390/make6030070.

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In recent years, deep neural networks (DNNs) have addressed new applications with intelligent autonomy, often achieving higher accuracy than human experts. This capability comes at the expense of the ever-increasing complexity of emerging DNNs, causing enormous challenges while deploying on resource-limited edge devices. Improving the efficiency of DNN hardware accelerators by compression has been explored previously. Existing state-of-the-art studies applied approximate computing to enhance energy efficiency even at the expense of a little accuracy loss. In contrast, bit-serial processing has

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Khofiyah, Salma Ngarifatul, and Adam Prayogo Kuncoro. "Prediksi Penyakit Jantung Menggunakan <i>Algoritma Random Forest</i> Dan <i>Synthetic Minority Oversampling Technique (SMOTE)</i>." Komputa : Jurnal Ilmiah Komputer dan Informatika 14, no. 1 (2025): 1–10. https://doi.org/10.34010/komputa.v14i1.14678.

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Heart disease is one of the leading causes of death in the world, so early diagnosis is very important. This research develops a web-based heart prediction system using Random Forest algorithm and Streamlit framework. The dataset used consists of 299 samples with 13 attributes, taken from Kaggle. The research stages include data collection, pre-processing, SMOTE technique to handle data imbalance, modeling, evaluation, and system implementation. The resulting model showed 86.58% accuracy on the test data, demonstrating effective working practices in classifying heart disease risk. The system i

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Rozprawy doktorskie na temat "DPN synthetic acceleration"

Le, Bars Arthur. "Surface characteristics scheme for the neutron transport equation in extruded and non-conformal 3D geometries." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASP162.

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Le travail de la thèse se compose de deux parties. La première partie se focalise sur le développement d’un schéma (transport + accélération) aux caractéristiques linéaire surfacique pour la résolution de l’équation du transport sur des géométries 3D extrudées. À présent, seule l’approximation constante peut être utilisée. La différence entre les deux méthodes réside dans le fait que pour l’une la vitesse de convergence au maillage est linéaire (approximation constante) alors qu’elle est quadratique pour l’autre méthode (approximation surfacique linéaire). Pratiquement, la dernière méthode per

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Streszczenia konferencji na temat "DPN synthetic acceleration"

Xiao, Qingcheng, and Yun Liang. "Towards Agile DNN Accelerator Design Using Incremental Synthesis on FPGAs." In FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. ACM, 2022. http://dx.doi.org/10.1145/3490422.3502351.

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Bermudez, Eric, Andrew McDaniel, Terrence Dickerson, Dianne Luning Prak, Len Hamilton, and Jim Cowart. "Start-Up and Steady-State Performance of a New Renewable Hydroprocessed Depolymerized Cellulosic Diesel (HDCD) Fuel in Multiple Diesel Engines." In ASME 2015 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/icef2015-1083.

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A new Hydroprocessed Depolymerized Cellulosic Diesel (HDCD) fuel has been developed using a process which takes biomass feedstock (principally cellulosic wood) to produce a synthetic fuel that has nominally 1/2 cyclo-paraffins and 1/2 aromatic hydrocarbons in content. This HDCD fuel with a low cetane value (Derived Cetane Number from the Ignition Quality Tester, DCN = 27) was blended with naval distillate fuel (NATO symbol F-76) in various quantities and tested in order to determine how much HDCD could be blended before diesel engine operation became problematic. Blends of 20% HDCD (DCN = 45),

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Cao, Meng, and Mukul M. Sharma. "Creation of a Data-Calibrated Discrete Fracture Network of the Utah FORGE Site." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0822.

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ABSTRACT Three single-cluster hydraulic fracture stages were pumped at the Frontier Observatory for Research in Geothermal Energy (FORGE) site in Milford, Utah. Our goal was to develop a robust model to accurately represent the formation of fracture networks in this naturally fractured geothermal reservoir. To begin this process, we used geological and geophysical data and data from one-dimensional Fullbore Formation MicroImager (FMI) to build a discrete fracture network model for the natural fractures. The natural fracture network (DFN) was built stochastically with areal density, length, and

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