Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review

Q Liu, Y Ma, L Chen, W Pedrycz, MJ Skibniewski… - Information …, 2024 - Elsevier
Artificial intelligence (AI) has garnered significant attention within the modular construction
industry, emerging as a prominent frontier development trend. A comprehensive and …

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

M Jafari, D Sadeghi, A Shoeibi, H Alinejad-Rokny… - Applied …, 2024 - Springer
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

SenticNet 8: Fusing emotion AI and commonsense AI for interpretable, trustworthy, and explainable affective computing

E Cambria, X Zhang, R Mao, M Chen… - … Conference on Human …, 2024 - Springer
ChatGPT has stunned the world with its ability to generate detailed, original, and accurate
responses to prompts. While it unlocked solutions to problems that were previously …

Artificial Intelligence for enhancing special education for K-12: A decade of trends, themes, and global insights (2013–2023)

Y Yang, L Chen, W He, D Sun… - International Journal of …, 2024 - Springer
This paper provided a review of 210 studies on AI-enhanced special education from 2013 to
2023. Through bibliometric analysis, this review aimed to explore trends, focus areas …

Optimal soft open point placement and open switch position selection simultaneously for power loss reduction on the electric distribution network

TT Nguyen, TT Nguyen, HP Nguyen - Expert Systems with Applications, 2024 - Elsevier
Network reconfiguration through the selection of open switch positions on the electric
distribution network (EDN) is an effective solution to reduce power loss on the EDN …

Explainable and interpretable machine learning and data mining

M Atzmueller, J Fürnkranz, T Kliegr… - Data Mining and …, 2024 - Springer
The growing number of applications of machine learning and data mining in many domains—
from agriculture to business, education, industrial manufacturing, and medicine—gave rise …

Understanding and predicting micro-characteristics of ultra-high performance concrete (UHPC) with green porous lightweight aggregates: Insights from machine …

L Zhang, W Xu, D Fan, E Dong, K Liu, L Xu… - Construction and Building …, 2024 - Elsevier
Ultra-high performance concrete (UHPC) is an advanced material in construction. Porous
lightweight aggregates (PLWA) could reduce the self-shrinkage risk of UHPC by maintaining …

[HTML][HTML] Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

C Jimenez-Mesa, JE Arco, FJ Martinez-Murcia… - Pharmacological …, 2023 - Elsevier
The integration of positron emission tomography (PET) and single-photon emission
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …

Acrylic acid modified indapamide-based polymer as an effective inhibitor against carbon steel corrosion in CO2-saturated NaCl with variable H2S levels: an …

K Haruna, TA Saleh, A Lawal - Surfaces and Interfaces, 2024 - Elsevier
In this work, the performance of an acrylic acid-indapamide based polymer, poly (AAI), was
investigated as a corrosion inhibitor in mitigating C1018 carbon steel in a 3.5% NaCl …

[HTML][HTML] Identifying HRV patterns in ECG signals as early markers of dementia

JE Arco, NJ Gallego-Molina, A Ortiz… - Expert Systems with …, 2024 - Elsevier
Abstract The appearance of Artificial Intelligence (IA) has improved our ability to process
large amount of data. These tools are particularly interesting in medical contexts, in order to …