A comparison between machine and deep learning models on high stationarity data

D Santoro, T Ciano, M Ferrara - Scientific Reports, 2024 - nature.com
Advances in sensor, computing, and communication technologies are enabling big data
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

AH Alhamami, YA Dodo, AU Naibi… - Frontiers in Energy …, 2023 - frontiersin.org
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 …

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 …

[HTML][HTML] Green AI in the finance industry: Exploring the impact of feature engineering on the accuracy and computational time of Machine Learning models

MR Machado, A Asadi, RWR de Souza… - Applied Soft …, 2024 - Elsevier
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 …

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 …

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 …

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 …

A novel deep learning approach to enhance creditworthiness evaluation and ethical lending practices in the economy

X Qian, HH Cai, N Innab, D Wang, T Ciano… - Annals of Operations …, 2024 - Springer
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 …

[PDF][PDF] Unveiling the Impact of Social Media Usage on Firm Performance: The Mediating Influence of Organizational Agility and Innovation Capability

K Tehranian, MS Khorsand, M Zarei, GG Arani… - Tehnički …, 2024 - researchgate.net
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 …

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 …