Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials

B Basu, NH Gowtham, Y Xiao, SR Kalidindi, KW Leong - Acta Biomaterialia, 2022 - Elsevier
Conventional approaches to developing biomaterials and implants require intuitive tailoring
of manufacturing protocols and biocompatibility assessment. This leads to longer …

Application of finite element analysis to tissue differentiation and bone remodelling approaches and their use in design optimization of orthopaedic implants: A review

R Ghosh, S Chanda… - International Journal for …, 2022 - Wiley Online Library
Post‐operative bone growth and long‐term bone adaptation around the orthopaedic
implants are simulated using the mechanoregulation based tissue‐differentiation and …

Applications of ultrasonic testing and machine learning methods to predict the static & fatigue behavior of spot-welded joints

N Amiri, GH Farrahi, KR Kashyzadeh… - Journal of Manufacturing …, 2020 - Elsevier
Ultrasonic Testing (UT) is one of the well-known Non-Destructive Techniques (NDT) of spot-
weld inspection in the advanced industries, especially in automotive industry. However, the …

Prediction of blast induced ground vibration (BIGV) of quarry mining using hybrid genetic algorithm optimized artificial neural network

Y Azimi, SH Khoshrou, M Osanloo - Measurement, 2019 - Elsevier
Abstract Efficient prediction of Open Pit mining blast induced ground vibration, has an
important role in reduction of the environmental complaints. This paper proposed a new …

Reinforced quantum-behaved particle swarm-optimized neural network for cross-sectional distortion prediction of novel variable-diameter-die-formed metal bent tubes

C Wang, Z Wang, S Zhang, X Liu… - Journal of Computational …, 2023 - academic.oup.com
With light weight, high strength, and high performance, metal bent tubes have attracted
increasing applications in aeronautics. However, the growing demand for customized …

Design of patient specific dental implant using FE analysis and computational intelligence techniques

S Roy, S Dey, N Khutia, AR Chowdhury, S Datta - Applied soft computing, 2018 - Elsevier
Genetic algorithm is employed for optimum designing of patient specific dental implants with
varying dimension and porosity. It is generally recommended that, the micro strain at the …

On the various numerical techniques for the optimization of bone scaffold

J Wu, Y Zhang, Y Lyu, L Cheng - Materials, 2023 - mdpi.com
As the application of bone scaffolds becomes more and more widespread, the requirements
for the high performance of bone scaffolds are also increasing. The stiffness and porosity of …

Qualitative predictions of bone growth over optimally designed macro-textured implant surfaces obtained using NN-GA based machine learning framework

R Ghosh, S Chanda, D Chakraborty - Medical Engineering & Physics, 2021 - Elsevier
The surface features on implant surface can improve biologic fixation of the implant with the
host bone leading to improved secondary (biological) implant stability. Application of finite …

Robust parameter design for the micro-BGA stencil printing process using a fuzzy logic-based Taguchi method

TN Tsai, M Liukkonen - applied soft computing, 2016 - Elsevier
Solder paste is the main soldering material used to form strong solder joints between printed
circuit boards (PCB) and surface mount devices in the surface mount assembly (SMA). On …

Improved water cycle algorithm with probabilistic neural network to solve classification problems

M Alweshah, M Al-Sendah, OM Dorgham… - Cluster …, 2020 - Springer
Classification is achieved through the categorisation of objects into predefined categories or
classes, where the categories or classes are created based on a similar set of attributes of …