A comparison between machine and deep learning models on high stationarity data
Advances in sensor, computing, and communication technologies are enabling big data
analytics by providing time series data. However, conventional models struggle to identify …
analytics by providing time series data. However, conventional models struggle to identify …
Energy-carbon emission nexus in a residential building using BIM under different climate conditions: an application of multi-objective optimization
This study was carried out to investigate the impact of building insulation, a method of
reducing energy consumption, on the amount of energy consumed in a building, as well as …
reducing energy consumption, on the amount of energy consumed in a building, as well as …
Analysis of the severity of accidents on rural roads using statistical and artificial neural network methods
M Habibzadeh, P Ayar… - Journal of advanced …, 2023 - Wiley Online Library
This study assesses the relationship that existed between various variables and their
subvariables on rural roads in Qom, Iran, using statistical analysis and calculates the …
subvariables on rural roads in Qom, Iran, using statistical analysis and calculates the …
[HTML][HTML] Green AI in the finance industry: Exploring the impact of feature engineering on the accuracy and computational time of Machine Learning models
As research and practice in Artificial Intelligence (AI) applications rapidly expand, the
support for AI deployment is also increasing. While the abundance of data allows for …
support for AI deployment is also increasing. While the abundance of data allows for …
Estimating Deformation of Geogrid-Reinforced Soil Structures Using Hybrid LSSVR Analysis
C Chien-Ta, T Shing-Wen, LH Hsiao - International Journal of …, 2024 - Springer
The study of displacement plays a key role in the planning of geosynthetic reinforced soil
structures. Nevertheless, the literature stresses the promise of artificial intelligence …
structures. Nevertheless, the literature stresses the promise of artificial intelligence …
Towards Standardized Regulations for Block Chain Smart Contracts: Insights from Delphi and SWARA Analysis
S Heidari, S Hashemi, MS Khorsand… - arXiv preprint arXiv …, 2024 - arxiv.org
The rise of digital currency and the public ledger Block Chain has led to the development of
a new type of electronic contract known as" smart contracts." For these contracts to be …
a new type of electronic contract known as" smart contracts." For these contracts to be …
Building energy efficiency: using machine learning algorithms to accurately predict heating load
M Ahmadi - Asian Journal of Civil Engineering, 2024 - Springer
The use of machine learning techniques to forecast heating load, a crucial component of
building energy efficiency is examined in this work. Numerous building characteristics are …
building energy efficiency is examined in this work. Numerous building characteristics are …
A novel deep learning approach to enhance creditworthiness evaluation and ethical lending practices in the economy
Evaluating a borrower's creditworthiness and enabling ethical lending practices are two of
the most essential functions of credit scoring, making it an integral part of the economy …
the most essential functions of credit scoring, making it an integral part of the economy …
[PDF][PDF] Unveiling the Impact of Social Media Usage on Firm Performance: The Mediating Influence of Organizational Agility and Innovation Capability
The current research tended to examine the impact of social media usage on firm
performance with the mediating role of organizational agility and innovation capability. The …
performance with the mediating role of organizational agility and innovation capability. The …
Temporal and spatial dynamics of bovine spongiform encephalopathy prevalence in Akmola Province, Kazakhstan: Implications for disease management and control
SN Lubis, B Menglikulov, R Shichiyakh… - Caspian Journal of …, 2024 - cjes.guilan.ac.ir
Bovine Spongiform Encephalopathy (BSE), commonly known as" mad cow disease," is a
fatal neurological disorder in cattle attributed to abnormal brain protein aggregation. This …
fatal neurological disorder in cattle attributed to abnormal brain protein aggregation. This …