Results 21 to 30 of about 63,666 (315)

Effects of Exchange Rate and Inflation Uncertainty on Investment Opportunities of Companies listed in Tehran Stock Exchange [PDF]

open access: yesمجله دانش حسابداری, 2016
This study examined the effects of the real exchange rate and inflation uncertainty on the investment function of Tobin’s Q, in the period 2001-2010. To proceed, the data of 100 listed companies in the Tehran Stock Exchange were collected.
Elham Rahimi, Hamid Reza Horry
doaj   +1 more source

The impact of electronic payments on theft [PDF]

open access: yesپژوهش‌های برنامه و توسعه, 2020
Purpose: One of the important developments in the payment system is the emergence of new payment tools known as electronic payment instruments. With the help of electronic payment tools, the possibility of earning money by stealing is reduced; Thus ...
ahmad salahmanesh   +3 more
doaj   +1 more source

On GANs and GMMs

open access: yesCoRR, 2018
A longstanding problem in machine learning is to find unsupervised methods that can learn the statistical structure of high dimensional signals. In recent years, GANs have gained much attention as a possible solution to the problem, and in particular have shown the ability to generate remarkably realistic high resolution sampled images.
Eitan Richardson, Yair Weiss
openaire   +4 more sources

OPTIMAL CONTROL OF AIR CONDITIONING SYSTEM [PDF]

open access: yesCarpathian Journal of Electrical Engineering, 2020
This paper presents an optimal method for control the functioning time of an air conditioning system that allows reducing the electrical consumption by maintaining thermal comforts. In this work, the minimizing of the electrical consumption of a house is
Asma REBAI, Salim HADDAD, Ridha KELAIAIA
doaj  

The Effect of Gas Price Increase on Household Consumption in Semnan after the First Stage Implementation of Targeted Subsidies [PDF]

open access: yesمدلسازی اقتصادسنجی, 2014
  Government subsidies are one of the most important challenges in Iran’s economy, especially concerning the field of energy. The main objective of this paper is to examine the impact of natural gas price shocks on consumption of Semnan household Gas ...
Azadeh Mehrabian, Sajed Kashefi
doaj   +1 more source

Impact of Innovations on Future Energy Supply – Chemical Enhanced Oil Recovery (CEOR)

open access: yesCHIMIA, 2013
The International Energy Agency (IEA) expects an increase of global energy demand by one-third during next 20 years together with a change in the global energy mix. A key-influencing factor is a strong expected increase in oil and gas production
Christian Bittner
doaj   +1 more source

AN EMPIRICAL ANALYSIS OF INSTITUTIONAL QUALITY AND FOREIGN DIRECT INVESTMENT INFLOWS IN NIGERIA [PDF]

open access: yesOradea Journal of Business and Economics, 2023
This study investigated the relationship between the measures of institutional quality provided by the World Bank, World Governance Indicators and foreign direct investment inflows in Nigeria.
Idris Abiodun Adenuga
doaj   +1 more source

Speech Diarization and ASR with GMM

open access: yesCoRR, 2023
In this research paper, we delve into the topics of Speech Diarization and Automatic Speech Recognition (ASR). Speech diarization involves the separation of individual speakers within an audio stream. By employing the ASR transcript, the diarization process aims to segregate each speaker's utterances, grouping them based on their unique audio ...
Aayush Kumar Sharma   +5 more
openaire   +3 more sources

SAR Image Segmentation with GMMs [PDF]

open access: yesInternational Conference on Radar Systems (Radar 2017), 2017
This paper proposes a new approach for Synthetic Aperture Radar (SAR) image segmentation. Segmenting SAR images can be challenging because of the blurry edges and the high speckle. The segmentation proposed is based on a machine learning technique.
Belloni, Carole   +3 more
openaire   +4 more sources

Theory of the GMM Kernel

open access: yesProceedings of the 26th International Conference on World Wide Web, 2017
We develop some theoretical results for a robust similarity measure named "generalized min-max" (GMM). This similarity has direct applications in machine learning as a positive definite kernel and can be efficiently computed via probabilistic hashing.
Ping Li 0001, Cun-Hui Zhang
openaire   +3 more sources

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