標(biāo)題: Titlebook: Blockchain of Things and Deep Learning Applications in Construction; Digital Construction Faris Elghaish,Farzad Pour Rahimian,Sepehr Abrish [打印本頁] 作者: 輕佻 時(shí)間: 2025-3-21 17:16
書目名稱Blockchain of Things and Deep Learning Applications in Construction影響因子(影響力)
書目名稱Blockchain of Things and Deep Learning Applications in Construction影響因子(影響力)學(xué)科排名
書目名稱Blockchain of Things and Deep Learning Applications in Construction網(wǎng)絡(luò)公開度
書目名稱Blockchain of Things and Deep Learning Applications in Construction網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Blockchain of Things and Deep Learning Applications in Construction被引頻次
書目名稱Blockchain of Things and Deep Learning Applications in Construction被引頻次學(xué)科排名
書目名稱Blockchain of Things and Deep Learning Applications in Construction年度引用
書目名稱Blockchain of Things and Deep Learning Applications in Construction年度引用學(xué)科排名
書目名稱Blockchain of Things and Deep Learning Applications in Construction讀者反饋
書目名稱Blockchain of Things and Deep Learning Applications in Construction讀者反饋學(xué)科排名
作者: GIBE 時(shí)間: 2025-3-21 23:36
Employing Blockchain Towards Safer and Interconnected Cost Management of Construction Projects,greed endorsement policy. Finally, the proposed system is tested on a real-life case project, where results corroborate its ability and workability in providing a secure and scalable platform for all project parties.作者: Metamorphosis 時(shí)間: 2025-3-22 00:36 作者: Synchronism 時(shí)間: 2025-3-22 04:50 作者: 拱形面包 時(shí)間: 2025-3-22 12:16
Deep Learning to Improve Construction Site Management Tasks, automating safety warning for workers, managing construction equipment, and integrating IoT with deep learning to collect data from the site automatically. The thematic and gap analysis refers to many successful cases of deep learning in automating site management tasks. However, more validations a作者: Gullible 時(shí)間: 2025-3-22 15:18
Detecting Distresses in Buildings and Highway Pavements-Based Deep Learning Technology,compared to assessing and evaluating buildings’ structural health. There is a need for studies that compare different CNN models to foster the development of an integrated solution that considers the data collection method. Further research is required to examine the setup, implementation, running c作者: 假裝是你 時(shí)間: 2025-3-22 19:04
An Automated 4D BIM Model Development and Optimization,tudy shows the significance of integrating Activity-Based Costing (ABC) into 4D BIM to configure the hierarchy level of overhead activities with the IPD approach. Therefore, the most contribution level in managing the IPD project was by the trade package level by 33.33%, and the minimum contribution作者: 強(qiáng)行引入 時(shí)間: 2025-3-22 21:35
Deep Learning to Detect and Classify Highway Distresses Based on Optimised CNN Model,lassifying and detecting the samples exceeded the top-5 accuracy for the pre-trained AlexNet model around 3% and by 0.2% for the GoogleNet model. The accurate model here is the GoogleNet model, as the accuracy is 89.08%, and it is higher than AlexNet by 1.26%. At the same time, the computed accuracy作者: Lineage 時(shí)間: 2025-3-23 01:54
https://doi.org/10.1007/978-981-15-7146-6greed endorsement policy. Finally, the proposed system is tested on a real-life case project, where results corroborate its ability and workability in providing a secure and scalable platform for all project parties.作者: Implicit 時(shí)間: 2025-3-23 05:48 作者: Relinquish 時(shí)間: 2025-3-23 10:41 作者: Ornithologist 時(shí)間: 2025-3-23 14:57 作者: MAOIS 時(shí)間: 2025-3-23 21:48 作者: Migratory 時(shí)間: 2025-3-23 23:41 作者: 王得到 時(shí)間: 2025-3-24 02:42 作者: 爭吵 時(shí)間: 2025-3-24 08:25 作者: 在駕駛 時(shí)間: 2025-3-24 12:52 作者: Parabola 時(shí)間: 2025-3-24 16:46
Blockchain of Things and Deep Learning Applications in Construction978-3-031-06829-4作者: 得罪 時(shí)間: 2025-3-24 19:19 作者: FOLD 時(shí)間: 2025-3-25 03:05
https://doi.org/10.1007/978-981-19-0292-5 Blockchain of Things (BCoT) was introduced to exploit the advantages of IoT and Blockchain as a new concept. This chapter presents the potential uses of BCoT in the construction industry. This chapter provides researchers with a comprehensive view of related literature and gaps and indicates future research.作者: Aviary 時(shí)間: 2025-3-25 07:15
The Application of Blockchain of Things (BCoT) in the Construction Industry, Blockchain of Things (BCoT) was introduced to exploit the advantages of IoT and Blockchain as a new concept. This chapter presents the potential uses of BCoT in the construction industry. This chapter provides researchers with a comprehensive view of related literature and gaps and indicates future research.作者: 討厭 時(shí)間: 2025-3-25 08:03
construction.Contains real case studies to demonstrate techn.This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, desi作者: 船員 時(shí)間: 2025-3-25 14:48 作者: Overthrow 時(shí)間: 2025-3-25 19:27 作者: 披肩 時(shí)間: 2025-3-25 22:17 作者: 燒烤 時(shí)間: 2025-3-26 03:49 作者: Feedback 時(shí)間: 2025-3-26 06:56 作者: 身心疲憊 時(shí)間: 2025-3-26 12:23
https://doi.org/10.1007/978-981-15-7146-6ms with financial management practices adopted within construction projects. Increasingly complex construction projects have necessitated a corresponding evolvement of financial management tools and systems to augment security and control. Using blockchain technology, a decentralised financial manag作者: 頑固 時(shí)間: 2025-3-26 12:38 作者: Pantry 時(shí)間: 2025-3-26 18:03 作者: 巡回 時(shí)間: 2025-3-26 21:36
https://doi.org/10.1007/978-981-15-7146-6, this article evaluates the current state of utilising deep learning in the construction management tasks to enable researchers to determine the capabilities of current solutions and find research gaps to carry out more research to bridge revealed knowledge and practice gaps. First, the scientometr作者: Limerick 時(shí)間: 2025-3-27 03:01
https://doi.org/10.1007/978-981-15-7146-6nd maintenance actions lead to rapid deterioration, decreased service life, lower level of service and increased community disruption. Therefore, this chapter aims at providing (1) a state-of-the-art review of the literature concerning deep learning techniques for detecting distress in both pavement作者: DEFER 時(shí)間: 2025-3-27 07:05 作者: 協(xié)迫 時(shí)間: 2025-3-27 10:23
https://doi.org/10.1007/978-981-15-7146-6NN model to maximise the accuracy at different learning rates. a sample of 4,663 images of highway cracks were collected and classified into three categories of cracks, namely, vertical cracks’, ‘horizontal and vertical cracks’ and ‘diagonal cracks’, subsequently, using ‘Matlab’ to classify the samp作者: GET 時(shí)間: 2025-3-27 16:22 作者: Grandstand 時(shí)間: 2025-3-27 18:33
Introduction,Despite its significant impact on industrial employment (i.e. over 6.6% contribution) and representation of 9.8% of the UK’s Gross Domestic Product, the AEC industry has been continuously criticised due to its fragmentation for over five decades, resulting in several major industry reports.作者: Mechanics 時(shí)間: 2025-3-27 22:33
The Application of Blockchain of Things (BCoT) in the Construction Industry,mbraced this integration, application in other areas such as construction remains limited. The scientometric analysis is applied to 648 papers, identifying the use of IoT and blockchain in engineering and evaluating the progress of research in the construction industry. The qualitative critical revi作者: 聾子 時(shí)間: 2025-3-28 03:51 作者: 和藹 時(shí)間: 2025-3-28 07:27
Developing a Conceptual Framework to Implement Distributed Ledged Technology (DLT) in Construction integrated into the construction projects to automate financial transactions; for better transparency, security, and control. Existing research highlights that permissioned blockchain can work as a platform to create a business network among project participants due to its features being consistent作者: 表示問 時(shí)間: 2025-3-28 12:00 作者: 下船 時(shí)間: 2025-3-28 17:35
Deep Learning to Improve Construction Site Management Tasks,, this article evaluates the current state of utilising deep learning in the construction management tasks to enable researchers to determine the capabilities of current solutions and find research gaps to carry out more research to bridge revealed knowledge and practice gaps. First, the scientometr作者: 死亡 時(shí)間: 2025-3-28 20:24
Detecting Distresses in Buildings and Highway Pavements-Based Deep Learning Technology,nd maintenance actions lead to rapid deterioration, decreased service life, lower level of service and increased community disruption. Therefore, this chapter aims at providing (1) a state-of-the-art review of the literature concerning deep learning techniques for detecting distress in both pavement作者: Ligament 時(shí)間: 2025-3-29 00:26
An Automated 4D BIM Model Development and Optimization,re is a methodology for this integration, the BIM requires some improvements to foster the adoption of IPD. This chapter presents an innovative way to support the 4D BIM automation/optimisation within the IPD approach. This research proposes a planning library similar to structural and architectural作者: Perineum 時(shí)間: 2025-3-29 06:01
