Results 21 to 30 of about 5,787,304 (258)

An Adaptive Salp-Stochastic-Gradient-Descent-Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall.

International Journal of Interactive Multimedia and Artificial Intelligence
Rainfall prediction is considered to be an esteemed research area that impacts the day-to-day life of Indians. The predominant income source of most of the Indian population is agriculture.
S. Oswalt Manoj, Abhishek Kumar, Ashutosh Kumar Dubey, J. P. Ananth   +3 more
doaj   +1 more source

Failure Extropy from a Quantile Perspective

Statistica
The present paper explores the domain of failure extropy through the lens of quantile-based concepts, introducing novel results to enhance our understanding of extreme events.
Silpa Subhash, Dileep Kumar M., N. Unnikrishnan Nair   +2 more
doaj   +1 more source

Penyembunyian Data pada File Video Menggunakan Metode LSB dan DCT

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2014
Abstrak Penyembunyian data pada file video dikenal dengan istilah steganografi video. Metode steganografi yang dikenal diantaranya metode Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT).
Mahmuddin Yunus, Agus Harjoko
doaj   +1 more source

Framework of Forecast Verification of Surface Solar Irradiance From a Numerical Weather Prediction Model Using Classification With a Gaussian Mixture Model

Earth and Space Science, 2020
A clustering and classification method using a Gaussian mixture model (GMM) is used to summarize and simplify meteorological data from a numerical weather prediction (NWP) model.
Takeshi Watanabe, Hideaki Takenaka, Daisuke Nohara   +2 more
doaj   +1 more source

Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective

Water Science and Technology, 2023
This study investigates changes in river flow patterns, in the Hunza Basin, Pakistan, attributed to climate change. Given the anticipated rise in extreme weather events, accurate streamflow predictions are increasingly vital.
Mehran Khan, Afed Ullah Khan, Sunaid Khan, Fayaz Ahmad Khan   +3 more
doaj   +1 more source

Performance Analysis of Distributed Incremental LMS Algorithm with Noisy Links

International Journal of Distributed Sensor Networks, 2011
Recently proposed distributed adaptive estimation algorithms for wireless sensor networks (WSNs) do not consider errors due to noisy links, which occur during the transmission of local estimates between sensors.
Azam Khalili, Mohammad Ali Tinati, Amir Rastegarnia   +2 more
doaj   +1 more source

Mean square error (MSE) between each reconstruction algorithm.

, 2019
Mean square error (MSE) between each reconstruction algorithm.
Tsutomu Gomi (7382183), Yusuke Watanabe (608534), Rina Sakai (7382186), Hidetake Hara (7382189), Shinya Mizukami (426933)   +4 more
core   +1 more source

Estimation of Population Mean under logarithmic for the Poisson Distributed Study and Auxiliary Variates

, 2020
: Use of suitable auxiliary information is always suggested in literature at the planning and estimation stage to make the estimators more powerful in terms of efficiency.
Khare, Supriya; Banaras Hindu University, Singh, Rajesh; Banaras Hindu University, Sharma, Prayas; University of Petroleum and Energy Studies   +2 more
core   +1 more source

On the influence of detection tests on deterministic parameters estimation [PDF]

, 2006
In non-linear estimation problems three distinct regions of operation can be observed. In the asymptotic region, the Mean Square Error (MSE) of Maximum Likelihood Estimators (MLE) is small and, in many cases,close to the Cramer-Rao bound (CRB).
Chaumette, Eric, Galy, J., Larzabal, Pascal, Galy, Jerome, Larzabal, P., Vincent, François   +5 more
core   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source