Results 31 to 40 of about 106,055 (260)

Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM)

open access: yesJurnal Teknika
A prediction is an estimation of something that has not yet occurred. Its purpose is to minimize uncertainty and reduce errors in planning. Bogor Regency, with the largest population in West Java, requires a substantial amount of food.
Ani Apriani   +2 more
doaj   +1 more source

Image Interpolation Using a Rational Bi-Cubic Ball

open access: yesMathematics, 2019
: This study deals with the application of new rational bi-cubic Ball function with six parameters in image interpolation, especially for the grayscale image.
Nur Atiqah Binti Zulkifli   +5 more
doaj   +1 more source

Attack RMSE Leaderboard: An Introduction and Case Study

open access: yesCoRR, 2018
In this manuscript, we briefly introduce several tricks to climb the leaderboards which use RMSE for evaluation without exploiting any training data.
openaire   +2 more sources

STANDARD MBTHOD OF RMSE CALCULATION FROM POLYNOMIAL RECTIFICATION

open access: yesJournal of Engineering, 2002
Image quality and geometric accuracy of SPOT data are essential elements in cartographi: applications. The evaluation of geometric accuracy of SPOT data is carried out by analysis and quantification of the errors in geometric correction. For this purpose, many programs are designed to correct the image geometrically (polynomial transformation) and to ...
Ruba Yousif Hussain   +2 more
openaire   +2 more sources

Estimating Operating Speed on Highways using Multiple Linear Regression and Artificial Neural Network Technique

open access: yesTransactions on Transport Sciences
The speed variation along the successive highway sections is one of the most important factors in assessing geometric design consistency. Therefore, it is necessary to predict operating speed on important highway geometric features involving major safety
Kiran Kumar Tottadi, Arpan Mehar
doaj   +1 more source

Detecting security anomalies from internet traffic using the MA-RMSE algorithms [PDF]

open access: yes2009 7th IEEE International Conference on Industrial Informatics, 2009
Many detection techniques against worms, denial of service attacks and botnets on the Internet have been developed. It is difficult to detect these threats if the malicious traffic has insufficient intensity, which is usually the case. To make the problem worse, legitimate Internet services behaving like worm and complexity network environments ...
Breno Silva Pinto   +2 more
openaire   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

open access: yesMolecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel   +12 more
wiley   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

open access: yesArthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale   +6 more
wiley   +1 more source

Performance Evaluation of Long Short-Term Memory for Chili Price Prediction

open access: yesJISKA (Jurnal Informatika Sunan Kalijaga)
Groceries prices often experience fluctuations in several regions in Indonesia, such as East Java Province and one of the commodities is chilies, both red chilies and rawit chilies.
Fata Nabil Fikri, Nurochman Nurochman
doaj   +1 more source

Predicting Cryptocurrency Price Using RNN and LSTM Method

open access: yesJurnal Sisfokom, 2023
Cryptocurrency price prediction is a crucial task for financial investors as it helps determine appropriate investment strategies and mitigate risk. In recent years, deep learning methods have shown promise in predicting time-series data, making them a ...
Dzaki Mahadika Gunarto   +2 more
doaj   +1 more source

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