Al-Si controlled expansion alloys for electronic packaging applications

K Godbole, B Bhushan, SVSN Murty… - Progress in Materials …, 2024 - Elsevier
The demand for thermal management in electronic packaging (EP) and its allied industries,
especially in high-power electronics, has grown in the last three decades due to the …

The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges

R Zinno, SS Haghshenas, G Guido, K Rashvand… - Applied Sciences, 2022 - mdpi.com
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …

Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11

A Jain, IH Gue, P Jain - Journal of Cleaner Production, 2023 - Elsevier
Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …

A review on nanodispersed lead-free solders in electronics: synthesis, microstructure and intermetallic growth characteristics

M Bharath Krupa Teja, A Sharma, S Das… - Journal of Materials …, 2022 - Springer
Lead-free solder research has witnessed a great jump in the past decades due to the
increased restrictions over the use of toxic lead-bearing solder alloys. Among the …

A review on chemiresistive hybrid zinc oxide and nanocomposites for gas sensing

M Yadav, M Kumar, S Chaudhary… - Industrial & …, 2023 - ACS Publications
Chemiresistors have been widely employed in monitoring toxic fumes, gases, and
environmental pollutants. Among a plethora of metal oxide semiconductors (MOX) used for …

Hybrid metal oxide nanocomposites for gas-sensing applications: a review

P Berwal, S Sihag, S Rani, A Kumar… - Industrial & …, 2023 - ACS Publications
Nowadays, environmental pollution is a major concern due to toxic gases released by an
increased number of vehicles, industries, and manufacturing plants worldwide. These toxic …

Deep learning for structural health monitoring: Data, algorithms, applications, challenges, and trends

J Jia, Y Li - Sensors, 2023 - mdpi.com
Environmental effects may lead to cracking, stiffness loss, brace damage, and other
damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) …

Predicting SI Engine Performance Using Deep Learning with CNNs on Time-Series Data

MS Hofny, NM Ghazaly, AN Shmroukh… - Journal of Robotics …, 2024 - journal.umy.ac.id
In this study, deep learning (DL) model is used to predict brake power (BP) of GX35-OHC 4-
stroke, air-cooled, single-cylinder gasoline engine. The engine uses E15 (85% gasoline+ …

A review on AI-driven environmental-assisted stress corrosion cracking properties of conventional and advanced manufactured alloys

C Mathew, E Adu-Gyamfi - Corrosion Engineering, Science …, 2024 - journals.sagepub.com
Stress corrosion cracking (SCC) poses a significant challenge to the integrity and longevity
of both conventional and advanced manufactured alloys, impacting critical industries such …

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

G Wang, J Ke - Buildings, 2024 - mdpi.com
Structural health monitoring (SHM) of civil infrastructure is significant for sustainable
development. This review aims to identify the factors influencing sustainable civil …