Properties optimisation of nanostructures via machine learning: Progress and perspective

QR Code

Properties optimisation of nanostructures via machine learning: Progress and perspective

Nanostructures play a vast role in the current Internet of NanoThings (IoNT) era due to remarkable properties and features that precisely impart their desired application functions in catalysis, energy and other fields. The exploration in understanding their minute features caused by the flexibility...

Full description

Bibliographic Details
Main Author:	Nurul Akmal, Che Lah
Format:	Article
Language:	English English
Published:	Elsevier Ltd 2024
Subjects:	TJ Mechanical engineering and machinery TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/43160/ http://umpir.ump.edu.my/id/eprint/43160/1/Properties%20optimisation%20of%20nanostructures%20via%20machine%20learning_ABST.pdf http://umpir.ump.edu.my/id/eprint/43160/2/Properties%20optimisation%20of%20nanostructures%20via%20machine%20learning.pdf

Similar Items

Seamless on-skin and self-powered hybrid ZnO-based thin films: progress and perspective
by: Nurul Akmal, Che Lah
Published: (2024)

Morphological changes of ZnO nanostructures upon addition of tannic acid
by: Aqilah, Kamaruzaman, et al.
Published: (2021)

Hybrid machining: A review on recent progress
by: Nurul Nadia, Nor Hamran, et al.
Published: (2024)

Frequency-dependent of AC susceptibility in chitosan oligosaccharide-Ag nanostructures
by: Nurul Akmal, Che Lah, et al.
Published: (2020)

The physical and optical investigations of the tannic acid functionalised Cu-based oxide nanostructures
by: Nurul Akmal, Che Lah, et al.
Published: (2022)

Morphological changes of ZnO nanostructures upon addition of Trisodium Citrate (Na3C6H5O7) at different reaction temperatures
by: Aqilah, Kamaruzaman, et al.
Published: (2021)

Investigation of the wear progression of nozzle in abrasive waterjet machining with different abrasive material
by: Lusi, Nuraini, et al.
Published: (2025)

Match outcomes prediction of six top English Premier League clubs via machine learning technique
by: Rabiu Muazu, Musa, et al.
Published: (2018)

Fabrication of Bio-MEMS Nanostructure by focused ion beam
by: Ali, Mohammad Yeakub, et al.
Published: (2010)

The optical and structural properties of the synthesised Cu nanostructure using hydrothermal microwave-assisted method
by: Murthy, Puhanes, et al.
Published: (2023)

The physical and optical investigations of the tannic acid functionalised Cu‑based oxide nanostructures
by: Nurul Akmal, Che Lah, et al.
Published: (2022)

The optical and structural of the synthesised cu nanostructure using hydrothermal microwave-assisted method
by: Murthy, Puhanes, et al.
Published: (2022)

Manipulation in the in situ growth design parameters of aqueous zinc-based electrodes for batteries: The fundamentals and perspectives
by: Nurul Akmal, Che Lah
Published: (2024)

The classification of skateboarding tricks : A transfer learning and machine learning approach
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)

Elucidating the modified performance of high nuclearity of Cu nanostructures-PTFE thin film
by: Nurul Akmal, Che Lah, et al.
Published: (2023)

Rapid Fabrication of Glass Micro and Nanostructures via Laser-assisted Hot Embossing
by: Lee, Helen May Shian, et al.
Published: (2023)

The optical quantification measurement on aggregated aqueous ZnO nanostructures upon exposure to tannic acid
by: Nurul Akmal, Che Lah, et al.
Published: (2019)

Intrinsic magnetic field sensitivity in coinage transition metal-based nanostructures (Ag, Au and Cu)
by: Nurul Akmal, Che Lah
Published: (2025)

The diagnosis of diabetic retinopathy by means of transfer learning with conventional machine learning pipeline
by: Farhan Nabil, Mohd Noor, et al.
Published: (2020)

Optimisation of Injection Moulding Process Parameters
by: Guna Rao, Kishyen Raao, et al.
Published: (2024)

Machining cost in conventional and hot machining: comparison and modelling
by: Elhadie, Mohamed, et al.
Published: (2011)

Study of tool wear progression using nano-hybrid Cryogenic MQL in milling titanium alloy
by: Nurul Dayana, Mohd Noor, et al.
Published: (2023)

Classification of skateboarding tricks by synthesizing transfer learning models and machine learning classifiers using different input signal transformations
by: Muhammad Amirul, Abdullah
Published: (2022)

Improved machinability of Titanium alloy Ti-6Al-4V: implementation of preheated machining
by: Ginta, Turnad Lenggo, et al.
Published: (2010)

Development of anthro-fitness model for evaluating firefighter recruits' performance readiness using machine learning
by: Borhanudin, Mohd Yusof @ Mohamed, et al.
Published: (2024)

pH-dependent formation of oriented zinc oxide nanostructures in the presence of tannic acid
by: Nurul Akmal, Che Lah, et al.
Published: (2020)

Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
by: Rahman, Sam Matiur, et al.
Published: (2020)

Intelligent kitchen waste composting system via deep learning and internet-of-things (IoT)
by: Teh, Boon Hong, et al.
Published: (2024)

Advanced machining towards improved machinability of difficult-to-cut materials
Published: (2011)

Formation of Ag nanowires in the presence of tannic acid
by: Aqilah, Kamaruzaman, et al.
Published: (2020)

Progress in one-dimensional nanostructures
by: Samykano, M.
Published: (2021)

Advanced machining process
Published: (2011)

The Classification of Wafer Defects: A Support Vector Machine with Different DenseNet Transfer Learning Models Evaluation
by: Ismail, Mohd Khairuddin, et al.
Published: (2023)

Hunger behaviour classification of Lates Calcarifer using machine learning for automatic demand feeder through image processing
by: Mohd Azraai, Mohd Razman
Published: (2019)

Integrated Assessment of MIG Welding Parameters on Carbon Steel using RSM Optimisation
by: Junita, Mohd Said, et al.
Published: (2023)

Investigation on the effect of different friction stir machining tools shape on the mechanical properties of magnesium alloy work piece
by: N, Abdul Wahab, et al.
Published: (2020)

Study the influence of end mill tool geometries toward machining performances
by: Nurul Amira, Nor Azli
Published: (2016)

Development of sustainability optimization tool for pneumatic connector product
by: Salaam, Hadi Abdul, et al.
Published: (2020)

A Review on Development of Kek Lapis Sarawak's Machine
by: Mohamad Syamim, Hamsawi, et al.
Published: (2016)

Wire electrical discharge machining for microfabrication
by: Ali, Mohammad Yeakub, et al.
Published: (2007)