№ files_lp_4_process_3_062762
File format: docx Character count: 7732 File size: 1168 KB
Year: 2019
Region / City: Missan, Iraq
Subject: Optical Fiber Communication
Document Type: Research Paper
Organization / Institution: University of Basrah, Ministry of Education
Authors: M. S. Jasim, H. A. Sultan, C. A. Emshary
Target Audience: Researchers, Engineers, Academics in Optical Fiber Communication
Period of Action: Not specified
Approval Date: Not specified
Date of Modifications: Not specified
Keywords: optical fibers, attenuation, dispersion, soliton
Abstract: Fiber optics being the most important in many of applications like medicine and communication. Many factors affect the light propagation through it, like attenuation, dispersion, and nonlinear effects.
Context Description: A research paper analyzing the effect of attenuation and dispersion on the propagation of a Gaussian pulse in optical fibers using theoretical simulations.
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.

Don’t have cryptocurrency yet?

You can still complete your purchase in a few minutes:
  1. Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
  2. In the app, tap Send.
  3. Select network, paste our wallet address.
  4. Send the exact amount shown above.
After sending, paste your TXID (transaction ID) and your email to receive the download link. Need help? Contact support and we’ll guide you step by step.

The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
Supplemental Information for: From leaves to defenders: how amount and dispersion of leaf damage affect extrafloral nectar production and ant-mediated protection in wild cotton (Gossypium hirsutum)
Year: 2023
Region / City: N/A
Theme: Ecology, Plant-Animal Interactions
Document Type: Scientific Supplementary Information
Institution / Organization: N/A
Author: N/A
Target Audience: Researchers, Ecologists, Biologists
Period of Validity: N/A
Approval Date: N/A
Date of Changes: N/A
Ensemble Techniques and Unsupervised Learning: Model Combination, Voting, Bagging, Boosting, Stacking, K-means, KNN, Gaussian Mixture Models, and Expectation Maximization
Year: 2022
Subject: Machine Learning, Ensemble Methods, Unsupervised Learning
Document Type: Educational Unit / Lecture Notes
Author: Not specified
Target Audience: Students and researchers in machine learning
Techniques Covered: Model combination, Voting schemes, Bagging, Boosting, Stacking, K-means clustering, K-nearest neighbors, Gaussian mixture models, Expectation maximization
Scope: Theoretical explanation of ensemble learning and unsupervised methods, including algorithm generation and combination strategies
MATLAB Code for Plane Wave and Gaussian Beam Analysis
Year: 2023
Field: Electromagnetic Waves
Document Type: Code
Author: Unspecified
Intended Audience: Researchers in Electromagnetic Field Theory
Date of Approval: Not specified
Period of Validity: Indefinite
Date of Modifications: Not specified
Topics: dispersion fibers Gaussian