A survey of dental caries segmentation and detection techniques
Dental caries detection, in the past, has been a challenging task given the amount of
information got from various radiographic images. Several methods have been introduced to …
information got from various radiographic images. Several methods have been introduced to …
A big data analysis framework using apache spark and deep learning
With the spreading prevalence of Big Data, many advances have recently been made in this
field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction …
field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction …
A two-stage big data analytics framework with real world applications using spark machine learning and long short-term memory network
Every day we experience unprecedented data growth from numerous sources, which
contribute to big data in terms of volume, velocity, and variability. These datasets again …
contribute to big data in terms of volume, velocity, and variability. These datasets again …
Mobile Big Data Analytics Using Deep Learning and Apache Spark
M Azeem, BM Abualsoud… - … Journal of Big Data, 2023 - mesopotamian.press
The new mobile big data is the outcome of the widespread use of mobile devices like
smartphones and IoT devices. Without employing suitable analytical and learning …
smartphones and IoT devices. Without employing suitable analytical and learning …
A machine learning approach using classifier cascades for optimal routing in opportunistic internet of things networks
Routing in Opportunistic Internet of Things Network (OppIoT) is an involved problem,
because the network is intermittently connected and source to destination end-to-end paths …
because the network is intermittently connected and source to destination end-to-end paths …
Big data machine learning using apache spark mllib
Z Hasan, HJ **ng, MI Magray - Mesopotamian Journal of Big …, 2022 - mesopotamian.press
The examination local area has utilized man-made brainpower, and specifically machine
learning, in various ways to change various unique and, surprisingly, heterogeneous data …
learning, in various ways to change various unique and, surprisingly, heterogeneous data …
Relating images and 3D models with convolutional neural networks
FVS Massa - 2017 - pastel.hal.science
The recent availability of large catalogs of 3D models enables new possibilities for a 3D
reasoning on photographs. This thesis investigates the use of convolutional neural networks …
reasoning on photographs. This thesis investigates the use of convolutional neural networks …
[PDF][PDF] Research Article Mobile Big Data Analytics Using Deep Learning and Apache Spark
M Azeem, BM Abualsoud, D Priyadarshana - academia.edu
The new mobile big data is the outcome of the widespread use of mobile devices like
smartphones and IoT devices. Without employing suitable analytical and learning …
smartphones and IoT devices. Without employing suitable analytical and learning …
Performance of serially concatenated convolutional codes with DPSK in the presence of pulsed noise jamming
ES Chia, RC Robertson - MILCOM 2002. Proceedings, 2002 - ieeexplore.ieee.org
In this paper, the bit error rate of four-state serially concatenated convolutional codes
(SCCC) with DPSK, AWGN and pulsed noise jamming is examined. For low signal-to-noise …
(SCCC) with DPSK, AWGN and pulsed noise jamming is examined. For low signal-to-noise …
A Novel Approach for Gigantic Data Examination Utilizing the Apache Spark and Significant Learning
AV Brahmane, B Chaitanya Krishna - International Conference on …, 2019 - Springer
With the spreading certainty of Gigantic Data, particular prompts and advancements are
made in this area of Gigantic Data and systems, for example, the Apache Hadoop as well as …
made in this area of Gigantic Data and systems, for example, the Apache Hadoop as well as …