Results 101 to 110 of about 1,294,144 (288)

Water‐Energy Nexus: Benchmarking the Energy Efficiency of Drinking Water Treatment Plants Accounting for Heterogeneity

open access: yesSustainable Development, EarlyView.
ABSTRACT The assessment of energy efficiency in water facilities is receiving increasing attention as a key strategy in the transition toward an energy‐neutral urban water cycle. This study evaluates the energy efficiency of 146 drinking water treatment plants (DWTPs) in Chile by applying a latent class stochastic frontier analysis (LCSFA) to account ...
Alexandros Maziotis   +1 more
wiley   +1 more source

IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

open access: yesSINTECH (Science and Information Technology) Journal, 2019
This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists.
Rikardo Chandra   +2 more
doaj   +1 more source

An Efficient Feature Selection based on Bayes Theorem, Self Information and Sequential Forward Selection

open access: yes, 2016
Feature selection is an indispensable preprocessing technique for selecting more relevant features and eradicating the redundant attributes. Finding the more relevant features for the target is an essential activity to improve the predictive accuracy of ...
K. Mani, P. Kalpana
semanticscholar   +1 more source

How digital platforms affect local entrepreneurial activities: Evidence from the staggered entry of craigslist

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Access to markets is critical for entrepreneurial success, yet many face significant barriers. This study argues that digital platforms functioning as peer‐to‐peer marketplaces can facilitate entrepreneurial activity by improving market access for new ventures.
Daehyun Kim, Yongwook Paik, Namil Kim
wiley   +1 more source

Bayes in the Brain: A review of Everything is Predictable: How Bayesian Statistics Explain Our World, (2024) by Tom Chivers.

open access: yesNumeracy
Tom Chivers’ Everything is Predictable: How Bayesian Statistics Explain Our World, is an interesting and wide-ranging narrative on Bayesian thinking, its history, and its applicability to both our everyday lives and the pursuit of scientific truth ...
Michael Catalano
doaj   +1 more source

Optimal Bayes Classifiers for Functional Data and Density Ratios

open access: yes, 2016
Bayes classifiers for functional data pose a challenge. This is because probability density functions do not exist for functional data. As a consequence, the classical Bayes classifier using density quotients needs to be modified.
Dai, Xiongtao   +2 more
core   +1 more source

Forgoing Nuclear: Nuclear Power Plant Closures and Carbon Emissions in the United States

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT This paper examines the effect of nuclear power plant decommissioning on electricity generation and carbon emissions in the United States. Using data on nuclear reactor closures in the United States between 1993 and 2022 and data on state‐level carbon emissions and electricity generation from the Energy Information Administration (EIA), this ...
Luke Petach
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

open access: yesSECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi   +2 more
wiley   +1 more source

Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data

open access: yes선진국방연구, 2019
This research proposes a new framework on reliability assessments of stored ammunition stocks. Many previous studies on reliability assessments are based on the correlation between the content of residual stabilizer and the year of manufacturing. However,
Namsu Ahn   +3 more
doaj   +1 more source

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