CONTENTS
Volume 18, Number 2, 2024
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Preface
AI-driven Approaches for Sustainable and Resilient Concrete Construction
pages i-i.
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Big data analytics using optimized LSTM for carbon cost reduction in the construction industry
Yuhui Zhou
pages 85-94.
DOI: 10.12989/acc.2024.18.2.085
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Exploring optimized neural network model for accurate prediction of concrete strength in large bridges
Yuan Yang, Fu Zhang, Yahe Tan and Liu Liu
pages 95-103.
DOI: 10.12989/acc.2024.18.2.095
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Leveraging hybrid machine learning for sustainable development through recycled waste in landscape design
Yuanyuan Yao, Suhui Li, Pengfei Shi, Yuansheng Huang, Xiujie Jiang, Yadong Zheng and Zhaochen Wang
pages 105-113.
DOI: 10.12989/acc.2024.18.2.105
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Designing and manufacturing for concrete structure with construction waste analysis using big data and artificial intelligence
J. Laxmi Prasad, J. Srikanth, G. Deena, Pradeep Jangir, K. Jamberi and Kalyanapu Srinivas
pages 115-124.
DOI: 10.12989/acc.2024.18.2.115
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Energy efficiency and concrete waste management based on machine learning in sustainable construction
G.V. Rambabu, R. Ramya Swetha, Pritee Parwekar, Pradeep Jangir, S. Amutha and V. Sivaramaraju Vetukuri
pages 125-133.
DOI: 10.12989/acc.2024.18.2.125
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Machine learning based energy efficiency analysis with concrete waste reduction techniques and carbon footprint modelling
Varsha Bodade and Vijayalaxmi Kadrolli
pages 135-146.
DOI: 10.12989/acc.2024.18.2.135
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Automatic crack detection using quantum-inspired firefly algorithm with deep learning techniques
K.A. Vinodhini, K.R. Aswin Sidhaarth and K.A. Varun Kumar
pages 147-155.
DOI: 10.12989/acc.2024.18.2.147
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Influence of additives on leachate treatment with recycled coarse aggregate
T. Anstey Vathani and A. Logeshwari
pages 157-167.
DOI: 10.12989/acc.2024.18.2.157
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AI-driven seismic durability of concrete structures using reinforcement learning
M. Rajesh
pages 169-174.
DOI: 10.12989/acc.2024.18.2.169