A.A. Salim

ORCID: 0000-0002-2801-9673
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About
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Research Areas
  • Laser-Ablation Synthesis of Nanoparticles
  • Nonlinear Optical Materials Studies
  • Nanoparticles: synthesis and applications
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Gas Sensing Nanomaterials and Sensors
  • Luminescence Properties of Advanced Materials
  • Glass properties and applications
  • ZnO doping and properties
  • High Entropy Alloys Studies
  • Radiation Shielding Materials Analysis
  • Additive Manufacturing Materials and Processes
  • Graphite, nuclear technology, radiation studies
  • Nuclear materials and radiation effects
  • TiO2 Photocatalysis and Solar Cells
  • High-Temperature Coating Behaviors
  • Radioactivity and Radon Measurements
  • Advanced Photocatalysis Techniques
  • AI in cancer detection
  • Bee Products Chemical Analysis
  • Spinal Fractures and Fixation Techniques
  • Conducting polymers and applications
  • Nuclear and radioactivity studies
  • Ga2O3 and related materials
  • Bone Tissue Engineering Materials
  • Advanced Neural Network Applications

University of Technology Malaysia
2016-2024

University of Tripoli
2024

Universiti Sains Malaysia
2024

State University of Malang
2024

Hospital Universiti Sains Malaysia
2022

Melanoma, the deadliest form of skin cancer, is on rise. The goal this study to present a deep learning system implementation for detection melanoma lesions server equipped with graphics processing unit (GPU). When applied by dermatologist, recommended method might aid in early kind cancer. Evidence shows that may be used variety settings successfully extract patterns from data such as signals and images. This research presents convolution neural network–based strategy identifying...

10.11113/mjfas.v19n3.2900 article EN Malaysian Journal of Fundamental and Applied Sciences 2023-05-26

Among the most pressing issues in field of illness diagnostics is identifying and diagnosing leukemia at its earliest stages, which requires accurate distinction malignant leukocytes a low cost. Leukemia quite common, yet laboratory diagnostic centres often lack necessary technology to diagnose disease properly, available procedures take long time. They are considering efficacy machine learning (ML) that deep as method becoming critical. This study proposes convolutional neural network (CNN)...

10.11113/mjfas.v19n3.2901 article EN Malaysian Journal of Fundamental and Applied Sciences 2023-05-26

Abstract The computer vision (CV) is an emerging area with sundry promises. This communication encompasses the past development, recent trends and future directions of CV in context deep learning (DL) algorithms-based object detections localizations techniques. To identify location inside image recognize it by a program as fast human brain machine DL techniques have been evolved. However, main limitations are related to prolonged time consumption handle vast amount data perform same task...

10.1088/1742-6596/1892/1/012001 article EN Journal of Physics Conference Series 2021-04-01

Abstract The coating design of a piezoelectric nanogenerator (PENG) was optimised to enhance the performance ZnO nanorod-based PENGs by fine-tuning PEDOT: PSS intermediate layer. nanorods were synthesised using hydrothermal method at 90°C for 5 hours. layer deposited via spin rotation speeds (2000-5000 rpm). Furthermore, PDMS and Cu material layers magnetron sputtering, respectively, ensuring optimal characteristics improved energy harvesting efficiency. fabricated with structure...

10.1088/1742-6596/2974/1/012021 article EN Journal of Physics Conference Series 2025-03-01

Abstract Plasmonic metals-impregnated fiber-optic sensors (FOSs) became emergent for biomedical diagnostic, environmental monitoring, and security uses due to their excellent reliability sensitivity, stability, adaptability. To develop accurate, cost-effective, reliable humidity FOSs, Brilliant Blue dye-embedded titanium dioxide nanoparticles (BBD-TiO 2 NPs as sensing elements) were synthesized using a green controllable pulsed laser ablation in liquid (PLAL) method. The optical properties...

10.1088/1742-6596/2974/1/012036 article EN Journal of Physics Conference Series 2025-03-01

Abstract Commercial scale production of stable titania nanoclusters (TiO 2 NCs) with controlled physicochemical properties remains challenging. Over the years, to meet constant industrial demand different types pure TiO NCs desired size distribution various strategies have been developed. Most existing synthesis protocols are not enviro-friendly and often require chemical precursors. Considering these factors, we used eco-friendly pulse laser ablation in liquid (PLAL) method make five...

10.1088/1742-6596/2974/1/012028 article EN Journal of Physics Conference Series 2025-03-01

Abstract Several advanced methods have been utilized to develop high quality and innovative nanomaterials for applications in nanoscience nanotechnology. Among these, the green synthesising of silver nanoparticles (AgNPs) has become a favored approach synthesis shell structure unique features NPs due its cost effectiveness, easy controlled sustainability, compatibility, free toxic chemical contaminations. In this study, AgNPs were produced through reduction nitrate using freshly prepared...

10.1088/1742-6596/2974/1/012034 article EN Journal of Physics Conference Series 2025-03-01

Abstract The development of nanoparticles (NPs) with desired performance and controlled physiochemical characteristics for industrial wastewater treatment remains a significant challenge. toxicity, non-biodegradation potentially carcinogenic properties various chemicals in posed much environmental concerns. To overcome these issues, some novel titanium dioxide embedded graphene oxide (TiO 2 NPs GO) high-quality were synthesized at laser energies (50 to 250 mJ) under constant wavelength (1064...

10.1088/1742-6596/2974/1/012027 article EN Journal of Physics Conference Series 2025-03-01

Abstract Four Lithium-Carbo-Borate glass samples (named as LBP:Au glass) at fixed phosphorous (P) content (0.4 mol%) and various gold (Au) doping levels (0.02-0.08 were prepared via the melt-quenching approach. The morphology amorphous phases of obtained verified by XRD FESEM analysis. Additionally, varying Au contents dependent thermoluminescence (TL) property glasses measured under exposure 50 Gy Co-60 γ-ray irradiations. synthesised showed good transparency surface homogeneity....

10.1088/1742-6596/2974/1/012035 article EN Journal of Physics Conference Series 2025-03-01
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