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Menampilkan 1–4 dari 4 artikel
Sustainable Strengthening of Concrete Using Lathe Waste Steel Fibers: Experimental and FEA Analysis: Sustainable Fiber Reinforced Concrete
Ahmad, Fawad
; Aiman Al-Odaini, Aiman
; Mohammad Nizamuddin Inamdar
; Muhammad Majid Naeem
; Omair, Muhammad
; Rafiq, Hamza
; Irfan, Muaz
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 2
(2025)
The construction industry is growing fast and increasing the demand for concrete which requires sustainable materials. Concrete is weak in tension and needs fiber reinforcement to improve strength. This study explores lathe waste steel fibers as a sustainable option to enhance tensile properties. Local industries produce large amounts of lathe waste that can be used in fiber-reinforced concrete. Traditional destructive testing is expensive and slow because it needs heavy machinery like Universal...
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3 Sitasi
Enhanced Diagnosis of Skin Cancer from Dermoscopic Images Using Alignment Optimized Convolutional Neural Networks and Grey Wolf Optimization
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Skin cancer (SC) is a highly serious kind of cancer that, if not addressed swiftly, might result in the patient’s demise. Early detection of this condition allows for more effective therapy and prevents disease development. Deep Learning (DL) approaches may be used as an effective and efficient tool for SC detection (SCD). Several DL-based algorithms for automated SCD have been reported. However, more efficient models are needed to improve accuracy. As a result, this paper introduces a new strat...
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10 Sitasi
Advances in Deep Learning for Skin Cancer Diagnosis
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
The most prevalent type of cancer worldwide is known as skin cancer. Early detection is critical because if left undiagnosed in the primary stage, it might be fatal. Although there are differences within the class and high inter-class similarities, it is too difficult to distinguish with the naked eye. Owing to the disease's global prevalence, a number of deep learning based automated systems were created thus far to help doctors identify skin lesions early on. Using pre-trained ImageNet weights...
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1 Sitasi
Integrating Cryptographic Security Features in Information System Barcodes for Self-Service Systems
Sucipto
; Ristyawan, Aidina
; Harini, Dwi
; Zaman, Wahid Ibnu
; Muzaki, Muhammad Najibulloh
; Abdulnazar, Mohamed Naeem Antharathara
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
Integrating services in an information system is necessary to provide services that can optimize an information system. One of the systems in PKKMB activities that will be combined with information security features is the attendance system. This research uses the Liner Sequential Model (LSM) method to integrate the QR Code attendance system with security features. This research aims to integrate QR Codes by optimizing increased security by combining the Advanced Encryption Standard (AES) algori...
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1 Sitasi