Výsledky vyhledávání - "Daphne Lopez"

Akademický článek

Privacy Preserving Sensitive Data Publishing using (k,n,m) Anonymity Approach

Autor: Nancy Victor, Daphne Lopez

Publikováno v: Journal of Communications Software and Systems, Vol 16, Iss 1, Pp 46-56 (2020)

Open Science movement has enabled extensive knowledge sharing by making research publications, software, data and samples available to the society and researchers. The demand for data sharing is increasing day by day due to the tremendous knowledge h

Externí odkaz: https://doaj.org/article/dd2cf7d38575454680e9c358f24015a6

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Akademický článek

Experience Replay Optimisation via ATSC and TSC for Performance Stability in Deep RL

Autor: Richard Sakyi Osei, Daphne Lopez

Publikováno v: Applied Sciences, Vol 13, Iss 4, p 2034 (2023)

Catastrophic forgetting is a significant challenge in deep reinforcement learning (RL). To address this problem, researchers introduce the experience replay (ER) concept to complement the training of a deep RL agent. However, the buffer size, experie

Externí odkaz: https://doaj.org/article/b640b35925994b36bff871be5243458f

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Akademický článek

Feature Selection used for Wind Speed Forecasting with Data Driven Approaches

Autor: Senthil Kumar P, Daphne Lopez

Publikováno v: Journal of Engineering Science and Technology Review, Vol 8, Iss 5, Pp 124-127 (2015)

Wind speed forecasting is important for wind power generation and integration. In this paper, Nonlinear Autoregressive model process with eXogenous input (NARX) is proposed for wind speed forecast. The main aim of this experiment is to forecast

Externí odkaz: https://doaj.org/article/8fb34ce1755e47c69c71fc88a70678c9

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XDLX: A Memory-Efficient Solution for Backtracking Applications in Big Data Environment using XOR-based Dancing Links

Autor: Varalakshmi M, Peer Mohideen P U, Thilagavathi M, Daphne Lopez

Publikováno v: International Journal on Recent and Innovation Trends in Computing and Communication. 11:88-94

Interactive and Backtracking applications often require undoing certain recent operations and updates made to the underlying data structures. The concept of dancing links has made such reverting operations easier and efficient by repeatedly performin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::246a111f0b66fe3c9f4f51472a77a9c0
https://doi.org/10.17762/ijritcc.v11i1.6054

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sl-LSTM

Autor: Nancy Victor, Daphne Lopez

Publikováno v: International Journal of Grid and High Performance Computing. 12:1-16

The volume of data in diverse data formats from various data sources has led the way for a new drift in the digital world, Big Data. This article proposes sl-LSTM (sequence labelling LSTM), a neural network architecture that combines the effectivenes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2e71c4841eda9f26437788e76c628872
https://doi.org/10.4018/ijghpc.2020070101

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Privacy Preserving Big Data Publishing

Autor: Nancy Victor, Daphne Lopez

Data privacy plays a noteworthy part in today's digital world where information is gathered at exceptional rates from different sources. Privacy preserving data publishing refers to the process of publishing personal data without questioning the priv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be82255efb7c6dba58f793542fa74a29
https://doi.org/10.4018/978-1-7998-8954-0.ch060

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Architecture for Big Data Storage in Different Cloud Deployment Models

Autor: Chandu Thota, Gunasekaran Manogaran, Revathi Sundarasekar, Daphne Lopez

Cloud Computing is a new computing model that distributes the computation on a resource pool. The need for a scalable database capable of expanding to accommodate growth has increased with the growing data in web world. More familiar Cloud Computing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df611c450f6f01d6d39fbc305938014b
https://doi.org/10.4018/978-1-7998-5339-8.ch009

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High‐performance implementation of a two‐bit geohash coding technique for nearest neighbor search

Autor: Amit P. Kesarkar, M. Varalakshmi, Daphne Lopez

Publikováno v: Concurrency and Computation: Practice and Experience. 33

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42110a9204bd17a19ff2331e0ca483ea
https://doi.org/10.1002/cpe.6029

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A Conceptual Framework for Sensitive Big Data Publishing

Autor: Nancy Victor, Daphne Lopez

Publikováno v: Algorithms for Intelligent Systems ISBN: 9789811550768

Big data can be referred to as the massive quantity of data which is collected from numerous sources at high velocities in different data formats. Social network data, medical data and sensor data comprise the major sources of big data. One of the ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dca3d3f59579ea45cac2d8d513ac7fc6
https://doi.org/10.1007/978-981-15-5077-5_47

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Privacy Preserving Sensitive Data Publishing using (k,n,m) Anonymity Approach

Autor: Daphne Lopez, Nancy Victor

Publikováno v: Journal of Communications Software and Systems
Volume 16
Issue 1
Journal of Communications Software and Systems, Vol 16, Iss 1, Pp 46-56 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3145e3f8ce084ad4381fba58e8b16db
https://hrcak.srce.hr/236186

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