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STATUS AND PROSPECTS OF ICT AMONG NEPALESE SMALLHOLDER FARMERS 尼泊尔小农信息通信技术的现状和前景
Pub Date : 2022-01-01 DOI: 10.26480/aim.01.2022.13.16
Rejina Bachkain, Tilak Karki
The majority of Nepalese smallholder farmers, who account for 70 % of the total food produced in the country, are still not utilizing ICT services for agricultural information. The use of ICT can provide timely information about the market, production technologies, and important recommendations that help smallholders to uplift their livelihood strategies. This review paper aims to assess the status of ICT use among Nepalese smallholder farmers and identify its prospects. For this purpose, a thorough review is done by studying various secondary sources. From the review, the increasing access to mobile phones and internet services among farmers indicates that there lie possibilities of connecting smallholders to the information ecosystem through ICT. However, various factors such as education, cost of technology, socio-economic condition, etc. of farmers influence the decision regarding adoption and non-adoption of ICT, which should be considered before forming plans and policies to increase its use. Various subsidies and incentives in ICT facilities can be an excellent idea to increase the adoption.
尼泊尔的小农占全国粮食总产量的70%,但大多数小农仍未利用ICT服务获取农业信息。信息通信技术的使用可以及时提供有关市场、生产技术的信息和重要建议,帮助小农提升其生计战略。这篇综述论文旨在评估尼泊尔小农使用信息通信技术的现状,并确定其前景。为此目的,通过研究各种二手资料来进行彻底的审查。从审查来看,越来越多的农民使用移动电话和互联网服务表明,通过信息通信技术将小农与信息生态系统连接起来是有可能的。然而,农民的教育、技术成本、社会经济条件等各种因素影响着采用和不采用信息和通信技术的决定,在制定增加使用信息和通信技术的计划和政策之前,应考虑这些因素。信息通信技术设施的各种补贴和激励措施是提高采用的好主意。
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引用次数: 0
DIGITAL RESILIENCE: OPPORTUNITIES AND THREATS FOR ADOLESCENTS IN A VIRTUAL WORLD 数字复原力:虚拟世界中青少年的机遇与威胁
Pub Date : 2022-01-01 DOI: 10.26480/aim.02.2022.67.71
Rr. Setyawati, Lia Mareza, M. Hamka
Digital transformation in various areas of adolescents’ lives can expand the range of interactive environments that pose potential threats to development and health. Adolescents need safe and supportive environments that meet their physical and emotional needs and protect them from harm to reach their full potential. The aim of this research can be established to formulate digital resilience according to the experience of interacting in the digital world during adolescence. This study uses a descriptive qualitative method to describe and explain the condition of teenagers when surfing the internet. Research respondents were conducted purposively, taking samples intentionally to the required sample requirements. The main subjects of this study were determined based on the criteria, namely adolescents aged 11-21 years and actively using the internet. The data collection technique used online interviews, which contained semi-structured questions to be answered by respondents. The answer choices do not limit responses to the open questionnaire. Questionnaires in the form of Google Forms, which is one of Google’s platforms, are sent to respondents who meet the criteria through the Whatsapp group and collect answers online and in real-time. The analysis uses ATLAS-ti software to organize the data, after that, the data is processed using thematic analysis. This method can emphasize the organization and rich description of the data set and the theoretically informed interpretation of meaning (source). The thematic analysis focuses on examining themes or patterns of meaning in the data (source). Based on the results of this study, it can be formulated that adolescents who have digital resilience have several skills that must be mastered, namely the ability to keep personal and other people’s secrets, the ability to protect themselves in cyberspace from unpleasant actions, the ability to refuse pornographic content, the ability to manage time or screen time, the ability to filter and analyze information, the ability to think critically and the ability to maintain polite behavior in cyberspace.
青少年生活各个领域的数字化转型可以扩大对发展和健康构成潜在威胁的互动环境的范围。青少年需要安全和支持性的环境,以满足他们的身体和情感需求,并保护他们免受伤害,以充分发挥其潜力。本研究的目的是根据青少年在数字世界中的互动经验来制定数字弹性。本研究采用描述性定性的方法来描述和解释青少年上网时的状况。调查对象是有目的地进行的,有意地按照所需的样本要求取样。本研究的主要对象是根据标准确定的,即11-21岁的青少年,积极使用互联网。数据收集技术采用在线访谈,其中包含半结构化问题,由受访者回答。答案选项不限制对开放问卷的回答。问卷的形式为Google Forms,这是谷歌的一个平台,通过Whatsapp群发送给符合标准的受访者,并在线和实时收集答案。分析采用ATLAS-ti软件对数据进行整理,然后采用专题分析对数据进行处理。这种方法可以强调数据集的组织和丰富描述,以及对意义的理论解释(来源)。主题分析侧重于检查数据(来源)中的主题或意义模式。根据本研究的结果,可以制定出具有数字弹性的青少年有几个必须掌握的技能,即保守个人和他人秘密的能力,在网络空间中保护自己免受不愉快行为的能力,拒绝色情内容的能力,管理时间或屏幕时间的能力,过滤和分析信息的能力,批判性思考的能力和在网络空间保持礼貌行为的能力。
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引用次数: 0
ENHANCING THE SECURITY OF AN ORGANIZATION FROM SHADOW IOT DEVICES USING BLOW-FISH ENCRYPTION STANDARD 使用blowfish加密标准增强组织对影子物联网设备的安全性
Pub Date : 2022-01-01 DOI: 10.26480/aim.01.2022.22.24
M. Senthilkumar, B. Murugan
Brilliant urban communities, gridlock, squander the board, primary well being, security, crisis administrations, coordination, retail, modern control, and medical care are only a couple of the applications that the Internet of Things can assist with. The Internet of Things is a super innovation that can associate with anything, anyone, whenever, spot, stage, and organization. It fundamentally affects the whole square chain of ventures, savvy items and gadgets, frameworks and administrations given by heterogeneous organization association, and is being created as a brilliant inescapable structure for shrewd gadgets. Since gadgets connect to confounded gear, collaborate with threatening environmental elements, and are sent on an assortment of unregulated stages, they defy a few security dangers and difficulties. Since the Internet of Things has the ability to coordinate any kind of organization or modern framework, it could be powerless against weaknesses innate in the different frameworks that make up the incorporated organization. The reason for this exploration paper is to examine the security gives that singular framework answerable for interconnection face, just as their effect on the in general framework.
卓越的城市社区、交通堵塞、浪费董事会、基本福祉、安全、危机管理、协调、零售、现代控制和医疗保健只是物联网可以帮助的几个应用。物联网是一个超级创新,它可以与任何东西、任何人、任何时间、地点、舞台和组织联系在一起。它从根本上影响了由异质组织协会提供的风险投资、精明项目和小工具、框架和管理的整个方链,并且正在为精明的小工具创建一个辉煌的不可避免的结构。由于小工具连接到混乱的设备,与危险的环境元素合作,并被发送到各种不受管制的阶段,它们无视一些安全危险和困难。由于物联网具有协调任何类型的组织或现代框架的能力,因此它可能无力对抗组成合并组织的不同框架中固有的弱点。这篇论文的目的是研究安全给出了负责互连面的奇异框架,就像它们对一般框架的影响一样。
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引用次数: 0
AN EMPIRICAL INVESTIGATION INTO THE EXTENT UNIVERSITY STUDENTS UTILISE MOBILE EDUCATIONAL APPLICATIONS FOR LEARNING 大学生利用移动教育应用程序学习程度的实证调查
Pub Date : 2022-01-01 DOI: 10.26480/aim.01.2022.25.33
Kuttikattu Varughese John
The purpose of the study is to determine the extent and frequency with which university students use Mobile Educational Applications, the knowledge concerning their availability, challenges students experience in using them, and the effect of these apps on students’ learning processes and performance. The research adopted a quantitative method of investigation and was conducted at a university in South Africa. A total of 280 questionnaire responses were completed and returned compared to the envisaged sample size of 375, representing a 75% response rate. The results revealed that students have properly incorporated mobile devices and applications into their daily lives and use mobile apps for personal, social, and academic activities on varying scales. A vast majority of students have acknowledged the affirming utility of mobile educational apps in their studies. It was concluded that Mobile Educational Applications are tools that enhance students’ learning in a university environment.
本研究的目的是确定大学生使用移动教育应用程序的程度和频率,有关其可用性的知识,学生使用这些应用程序的挑战,以及这些应用程序对学生学习过程和表现的影响。本研究采用定量调查方法,在南非一所大学进行。与预期的375份样本量相比,总共完成并返回了280份问卷,回复率为75%。调查结果显示,学生们已将移动设备和应用程序适当地融入日常生活,并在不同程度上使用移动应用程序进行个人、社交和学术活动。绝大多数学生都承认,移动教育应用程序在他们的学习中发挥了积极作用。结论是,移动教育应用程序是促进学生在大学环境中学习的工具。
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引用次数: 0
ACONVERGENCE OF MACHINE LEARNING AND STATISTICS TO PREDICT COVID-19 EVOLUTION 融合机器学习和统计预测COVID-19演变
Pub Date : 2022-01-01 DOI: 10.26480/aim.01.2022.34.38
M. Gupta, Ajay Singh
The effect of the Covid pandemic is not restricted to sickness and death but also extends to socioeconomic concerns. The statistics-based assessment of covid data presented is the measure of the damages that happened to citizens of a country and the required actions taken towards those damages. This study aims to analyse the consequences of numerous considerations on the deaths due to the pandemic. The paper presents the statistics-based processing of COVID-19 data using logistic regression (LR) and decision tree (DT). Results are compared using the logistic regression algorithm (based on statistics) and the decision tree algorithm (based on machine learning). This study presented the predictive abilities of logistic regression and decision tree approaches and observed better results for the decision tree method. An accuracy of 94.10% for decision tree and 93.90% for logistic regression, respectively observed. It is also observed that highly populated countries are inclined to have more corona cases than those with low density. More females die than males, and a greater number of deaths are observed in cases of age greater than sixty-five years. The experimental data is gathered from the official website of the world health organization (WHO) between January 2020 and June 2020. The results presented are promising for the reported studies.
2019冠状病毒病大流行的影响不仅限于疾病和死亡,还延伸到社会经济问题。基于统计的covid数据评估是衡量一个国家公民遭受的损害以及针对这些损害采取的必要行动。这项研究的目的是分析许多考虑因素对大流行造成的死亡的影响。本文利用逻辑回归(LR)和决策树(DT)对COVID-19数据进行了基于统计的处理。使用逻辑回归算法(基于统计)和决策树算法(基于机器学习)对结果进行比较。本研究展示了逻辑回归和决策树方法的预测能力,并观察到决策树方法取得了更好的结果。决策树和逻辑回归的准确率分别为94.10%和93.90%。还观察到,人口稠密的国家往往比人口密度低的国家有更多的冠状病毒病例。女性死亡人数多于男性,65岁以上的死亡人数更多。实验数据采集自2020年1月至2020年6月期间世界卫生组织(WHO)的官方网站。所提出的结果对已报道的研究是有希望的。
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引用次数: 0
A DEEP LEARNING MODEL FOR FACE RECOGNITION IN PRESENCE OF MASK 基于面具的人脸识别深度学习模型
Pub Date : 2022-01-01 DOI: 10.26480/aim.02.2022.43.46
Kalembo Vikalwe Shakrani, Ngonidzashe Mathew Kanyangarara, Prince Tinashe Parowa, Vibhor Gupta, Rajendra Kumar
Image classifications and object detection are common study topics in the rapidly expanding technological advancements to identify and detect real-time problems in major federal fields like public places, airports and army bases using webcams and surveillance cameras opensource platforms. The goal of this study is to suggest Open Source Computer Vision (OpenCV) and Convolutional Neural Network (CNN) techniques for identifying a person in presence of face mask from image datasets and real-time (live streaming video). For experimental purpose a parent directory consisting of three main directories (i.e., training, testing and validation sets) and two sub directories inside those containing Mask (M) and No Mask (N), respectively are used. Mask subdirectories have images of people wearing masks and the vice versa is for Non Mask. Total 1006 images are used including 503 Mask and 503 No-Mask. The data augmentation pre-processing method is used to increase the dataset size to improve the accuracy of the suggested model. The proposed system uses a camra inbuilt on drone to capture real-time image for recognition using Conventional Neural Network (CNN). The proposed model is constructed, compiled and trained using Tensor flow and Keras. The final training accuracy recorded is 0.93, while the validation accuracy recorded is 0.94, the training loss is 0.17, the validation loss here observed is 0.1672, and the test loss is 0.15. The classification accuracy of the proposed system observed is 0.95.
在快速发展的技术进步中,图像分类和目标检测是常见的研究课题,用于识别和检测公共场所、机场和军队基地等主要联邦领域的实时问题,使用网络摄像头和监控摄像头开源平台。本研究的目标是提出开源计算机视觉(OpenCV)和卷积神经网络(CNN)技术,用于从图像数据集和实时(直播视频)中识别有口罩的人。对于实验目的,使用由三个主目录(即训练集、测试集和验证集)组成的父目录和分别包含Mask (M)和No Mask (N)的子目录。面具子目录有戴面具的人的图像,反之亦然,是非面具。总共使用了1006张图片,包括503张Mask和503张No-Mask。采用数据增强预处理方法增加数据集大小,提高模型的精度。该系统使用内置在无人机上的摄像头捕捉实时图像,并使用传统神经网络(CNN)进行识别。该模型使用张量流和Keras进行构建、编译和训练。最终记录的训练精度为0.93,记录的验证精度为0.94,训练损失为0.17,这里观察到的验证损失为0.1672,测试损失为0.15。该系统的分类精度为0.95。
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引用次数: 1
APPLICATION OF INTERACTIVE VISUALIZATION IN THE PREFABRICATED BUILDING CONSTRUCTION PROCESS 交互式可视化在装配式建筑施工过程中的应用
Pub Date : 2022-01-01 DOI: 10.26480/aim.02.2022.52.54
Hao Liu
With its advantages, prefabricated building has become a new development trend in the construction industry and has been vigorously promoted. However, the construction problems in its construction process have not been effectively solved. Prefabricated components have blind spots in the connection, rebar positioning is difficult to achieve accurate, when hoisting, the position of tower cranes is uncertain, and the sequence of using tower cranes is not clear for each shift and group, the layout is not reasonable, the adverse effect of construction environment is not considered, which affects the transportation and connection of components on roads and other issues. The development of interactive visualization transforms data information into a three-dimensional view with obvious visual effects, enhancing the information exchange between users. Through a large number of literature collection, the existing prefabricated building construction methods are summarized and analyzed, knowing that there are few studies that combine interactive visualization with prefabricated building construction technology. This paper tries to apply interactive visualization technology to the construction process of prefabricated buildings, and organically combine. Building information modeling technology and related technology with construction technology, through the establishment of virtual information model to achieve the purpose of visualization, building parts model information base, to achieve real-time interaction between users and building model information. Combined with the construction site conditions to determine a reasonable and feasible structure form, optimize the construction technical scheme, and then effectively improve the construction quality, achieve visual management of the construction process, promote the construction of assembly building information and digital level.
装配式建筑以其自身的优势,成为建筑业新的发展趋势,得到了大力推广。然而,其建设过程中的施工问题一直没有得到有效解决。预制构件在连接上存在盲点,钢筋定位难以实现准确,吊装时塔机位置不确定,且每班、每组塔机使用顺序不明确,布置不合理,未考虑施工环境的不利影响,影响构件在道路上的运输和连接等问题。交互式可视化的发展将数据信息转化为具有明显视觉效果的三维视图,增强了用户之间的信息交换。通过大量的文献收集,对现有的装配式建筑施工方法进行总结和分析,了解到将交互式可视化与装配式建筑施工技术相结合的研究很少。本文试图将交互式可视化技术应用到装配式建筑的施工过程中,并将其有机地结合起来。建筑信息建模技术与建筑技术相结合,通过建立虚拟信息模型达到可视化的目的,建立建筑部件模型信息库,实现用户与建筑模型信息的实时交互。结合施工现场条件确定合理可行的结构形式,优化施工技术方案,进而有效提高施工质量,实现施工过程的可视化管理,促进装配式建筑施工的信息化和数字化水平。
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引用次数: 0
ARE MILLENNIAL MOTHERS ADDICTED TO SMARTPHONES DURING A PANDEMIC: STUDY IN MALAYSIA AND INDONESIA 马来西亚和印度尼西亚的研究表明,千禧一代的母亲在疫情期间沉迷于智能手机吗
Pub Date : 2022-01-01 DOI: 10.26480/aim.02.2022.62.66
H. ., N. ., Siti Aisyah Binti Panatik, Dyah Siti Septiningsih
Smartphones are increasing, especially during a pandemic where lockdown and distance are enforced in several countries. Smartphones have become more fully functional because they are used to keep in touch or entertain. We conducted a study on millennial mothers who had early childhood. A total of 169 millennial mothers were obtained from Malaysia and Indonesia during the pandemic Covid-19. This study uses the Smartphone Addiction Inventory (SPAI) by (Y. H. Lin et al., 2014). The measuring instrument is based on four factors: compulsive behavior, functional impairments, and withdrawals, modified from the Indonesian and Malay versions. The results show that the addiction of millennial mothers to smartphone use is more in the high category. Besides that, we linked the length of time using smartphones with several demographics, such as the number of children, employment status, and education. Implications and findings are discussed in detail.
智能手机越来越多,特别是在疫情期间,一些国家实施了封锁和隔离。智能手机的功能变得更加全面,因为它们被用来保持联系或娱乐。我们对童年早期的千禧一代母亲进行了一项研究。在2019冠状病毒病大流行期间,共有169名千禧一代母亲来自马来西亚和印度尼西亚。本研究使用了(Y. H. Lin等人,2014)的智能手机成瘾量表(SPAI)。该测量工具基于四个因素:强迫行为、功能障碍和戒断症,根据印尼语和马来语版本修改。结果显示,千禧一代母亲对智能手机的依赖程度更高。除此之外,我们还将使用智能手机的时间长短与几个人口统计数据联系起来,比如孩子的数量、就业状况和教育程度。详细讨论了研究的意义和结果。
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引用次数: 0
CONCEPTUAL DESIGN IMPACTS IN NEW NORMAL ERA: THE USE OF ARTIFICIAL INTELLIGENCE (AI) AND INTERNET OF THINGS (IOT) (CASE STUDIES: CLASS ROOM AND RESTAURANT) 新常态下概念设计的影响:人工智能(ai)和物联网(iot)的使用(案例研究:教室和餐厅)
Pub Date : 2022-01-01 DOI: 10.26480/aim.02.2022.39.42
A. Thantawi, Sri Astuti Indriyati
The Covid-19 pandemic that has lasted until now has forced changes in various sectors of life, for example, the use of masks on a daily basis has brought changes in the fashion sector, namely the addition of mask accessories to clothing where previously there were none. Likewise in the field of planning and building design which must adjust to the “new normal era”, so that it can fulfill the function of space according to the needs of the “New Normal Era”. The use of information technology in this case IoT (Intenet of Things) and AI (Artificial Intelligence) is needed to support these changes, especially planning and building design will function more optimally if equipped with these technologies and take a role in responding to the needs of building users to feel safer, comfortable and guaranteed health. Some examples of previous research using IoT are the use of automation in architectural concepts and using AI to detect human presence in a room or building. Building design in the “New Normal Era” supported by the use of IoT and AI is needed so that the building meets the health protocol standards issued by the Ministry of Health, but still has to meet the aesthetic and beauty concepts as well as the function of the building. IoT which is a concept that uses connectivity from the internet network as a communication medium for all connected objects into a single unit of an integrated system and similarly the use of AI for artificial intelligence applied to these objects. This research aims to discuss how it is possible to use IoT and AI in building design in the “New Normal Era” as a result of the Covid 19 pandemic. The methodology used in this research is to use a descriptive qualitative methodology with the aim of being able to understand and then provide alternative building design solutions with the concept of automation using IoT and AI. This research resulted in scientific studies related to building designs that use IoT and AI which can be input for alternative design solutions in the “New Normal Era”. This research is expected to answer the question of how the application of health protocols such as social distancing and hand washing that must be applied affects the design of buildings and the use of IoT and AI to support this. The limitation of the research study is on the design of the building with the concept of automation using IoT and AI in Indonesia. The existence of building locations in Indonesia also greatly influences differences in building design solutions, where the Health Protocol reference used can of course differ from one country to another, even though international standards can also be used in general. The concept of building design with the use of IoT and AI technology automation in buildings in Indonesia which is very widespread in the “New Normal Era” and is urgently needed can provide space design solutions that provide security, comfort and “health” for space users.
持续至今的新冠肺炎大流行迫使生活的各个方面发生了变化,例如,日常使用口罩带来了时尚行业的变化,即在服装中添加了以前没有的口罩配件。同样,在规划和建筑设计领域,也必须适应“新常态”,使其能够根据“新常态”的需要来实现空间的功能。在这种情况下,需要使用信息技术IoT(物联网)和AI(人工智能)来支持这些变化,特别是如果配备了这些技术,规划和建筑设计将更优化地发挥作用,并在满足建筑用户的需求方面发挥作用,让他们感到更安全、舒适和有保障的健康。以前使用物联网进行研究的一些例子是在建筑概念中使用自动化,以及使用人工智能来检测房间或建筑物中的人类存在。“新常态时代”的建筑设计需要在物联网和人工智能的支持下,使建筑符合卫生部颁布的健康协议标准,但仍然需要满足建筑的美学和美感概念以及功能。物联网是一个概念,它使用互联网连接作为所有连接对象的通信媒介,将其连接到集成系统的单个单元,类似地,将AI用于应用于这些对象的人工智能。此次研究旨在探讨在新冠肺炎大流行的“新常态时代”,如何在建筑设计中使用物联网和人工智能。本研究中使用的方法是使用描述性定性方法,目的是能够理解,然后提供使用物联网和人工智能自动化概念的替代建筑设计解决方案。这项研究产生了与使用物联网和人工智能的建筑设计相关的科学研究,这些研究可以为“新常态时代”的替代设计解决方案提供输入。预计该研究将回答必须应用的社交距离和洗手等健康协议的应用如何影响建筑物的设计以及使用物联网和人工智能来支持这一问题。该研究的局限性在于印度尼西亚使用物联网和人工智能的自动化概念的建筑设计。印度尼西亚建筑地点的存在也极大地影响了建筑设计解决方案的差异,其中所使用的《健康议定书》参考当然可以因国家而异,尽管也可以普遍使用国际标准。将物联网和人工智能技术自动化应用于印尼建筑的建筑设计理念在“新常态时代”非常普遍,急需为空间用户提供安全、舒适和“健康”的空间设计解决方案。
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引用次数: 1
THE BENEFITS OF ARTIFICIAL INTELLIGENCE IN CONSTRUCTION PROJECTS 人工智能在建筑项目中的好处
Pub Date : 2022-01-01 DOI: 10.26480/aim.02.2022.47.51
Mabrouka Shahat Younis, Elfargani .
Nowadays, Construction project faces many challenges in term of a control system and monitoring tools as well. Besides that, the construction projects building energy applying artificial intelligence (AI) systems play an essential role in the energy management of buildings and also the way to conservation it. By taking into account that using artificial intelligence (AI) systems can assist the construction project to evaluate the effectiveness of the different buildings such as conduct building commissioning energy efficiency, and even though detect and diagnose construction project system faults. However, construction projects are how artificial intelligence (AI) systems implemented their strategies. Thereby, construction project indicators of efficiency are still limited without implemented artificial intelligence (AI) system. In this study, artificial intelligence (AI) is a serious situation that has a high efficiency that can positively affect construction projects. Positive result estimation can be suggested in terms of an identified critical element of success.
当前,建设项目在控制系统和监控工具方面面临着诸多挑战。此外,建筑项目建筑能源应用人工智能系统在建筑能源管理和节能方面发挥着至关重要的作用。考虑到使用人工智能(AI)系统可以协助建筑项目评估不同建筑的有效性,如进行建筑节能调试,甚至检测和诊断建筑项目系统故障。然而,建筑项目是人工智能(AI)系统实施其战略的方式。因此,在没有实施人工智能(AI)系统的情况下,建筑项目的效率指标仍然有限。在本研究中,人工智能(AI)是一个严重的情况,它具有很高的效率,可以对建筑项目产生积极的影响。可以根据确定的成功的关键因素提出积极的结果估计。
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引用次数: 0
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Acta Informatica Malaysia
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