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Because of the various advantages of reinforcement learning (RL) mentioned above, this study uses RL to train unmanned aerial vehicles to perform two tasks: target search and cooperative obstacle avoidance.

This study draws inspiration from the recurrent state-space model and recurrent models (RPM) to propose a simpler yet highly effective model called the unmanned aerial vehicles prediction model (UAVPM). The main objective is to assist in training the UAV representation model with a recurrent neural network, using the soft actor-critic algorithm.

This study proposes a generalized actor-critic framework consisting of three modules: representation, policy and value. This architecture serves as the foundation for training UAVPM. This study proposes the UAVPM, which is designed to aid in training the recurrent representation using the transition model, reward recovery model and observation recovery model. Unlike traditional approaches reliant solely on reward signals, RPM incorporates temporal information. In addition, it allows the inclusion of extra knowledge or information from virtual training environments. This study designs UAV target search and UAV cooperative obstacle avoidance tasks. The algorithm outperforms baselines in these two environments.

It is important to note that UAVPM does not play a role in the inference phase. This means that the representation model and policy remain independent of UAVPM. Consequently, this study can introduce additional “cheating” information from virtual training environments to guide the UAV representation without concerns about its real-world existence. By leveraging historical information more effectively, this study enhances UAVs’ decision-making abilities, thus improving the performance of both tasks at hand.

Achieving tenure security is a global challenge impacting cities of the global south. The purpose of this paper is to evaluate the role of technology-enabled solutions as an enabler for the tenure rights of slum dwellers.

In this paper, we adopted a case study approach to analyze the use cases for technologies aiding India’s securitization of land tenure. The flagship state mission of Odisha, named the Jaga Mission, and that of Punjab, named BASERA – the Chief Minister’s Slum Development Program – were used as cases for this paper.

It was found that technologies like drone imagery and digital surveys fast-tracked the data collection and helped in mapping the slums with accuracy, mitigating human errors arising during measurement – a necessary condition for ensuring de jure tenure security. The adoption of a technology-based solution, along with a suitable policy and legal framework, has helped in the distribution of secure land titles to the slum dwellers in these states.

Odisha’s and Punjab’s journey in using technology to enable tenure security for its urban poor residents can serve as a model for the cities of the global south, dealing with the challenges of providing secure tenure and property rights.

The purpose of the paper is to analyse the sequence of forces acting as barriers in the usage of drones in the construction industry using interpretive structural modelling (ISM). The usage of drones in the construction industry is brought out phase-wise with the help of literature and live cases. Barriers to the usage of drones in construction and steps to derive the interaction between them are described in detail.

The extraction of barriers to the usage of drones in construction is done through cases and supported by the literature. The identification of the interaction between the barriers is done through multi-criteria decision models, namely, ISM and Matriced Impacts Croises Multiplication Appliquee a un Classement (MICMAC) and the results are presented in the form of a hierarchical structure. The paper highlights the potential for the usage of drones in every phase of construction across three stages of construction and eight different applications.

The findings on the interaction between barriers show that technical and research and development-related barriers have a higher driving power, ultimately influencing negativity among stakeholders in drone usage for construction. By analysing interrelationships between barriers, management can frame suitable strategies to adopt drone usage in projects. Awareness about the strength of certain barriers can help management take steps to mitigate the same.

By analysing interrelationships between barriers, management can frame suitable strategies to adopt drone usage in projects. A major limitation is a restriction of the study area to the Indian subcontinent. However, the authors believe that the results can be applied across countries where drone technology is at the nascent stage.

Awareness about the strength of certain barriers can help stakeholders take steps to mitigate the same.

The results of this research also give some inputs to the government’s drone policy for wider usage of drones in the construction industry.

To the best of the authors’ knowledge, most studies on drones in construction industry bring out a list various challenges to their adoption. In this study, the authors have gone further to perform a hierarchical sequencing of barriers to drone adoption based on challenges faced in an emerging economy like India.

The purpose of this paper is to introduce a three-echelon multimodal transportation problem applied to a humanitarian logistic case study that occurred in Mexico.

This study develops a methodology combining a transshipment problem and an adaptation of the multidepot heterogeneous fleet vehicle routing problem to construct a mathematical model that incorporates the use of land-based vehicles and drones. The model was applied to the case study of the Earthquake on September 19, 2017, in Mexico, using the Gurobi optimization solver.

The results ratified the relevance of the study, showing an inverse relationship between transportation costs and delivery time; on the flip side, the model performed in a shorter CPU time with medium and small instances than with large instances.

While the size of the instances limits the use of the model for big-scale problems, this approach manages to provide a good representation of a transportation network during a natural disaster using drones in the last-mile deliveries.

The present study contributes to a model that combines a vehicle routing problem with transshipment, multiple depots and a heterogeneous fleet including land-based vehicles and drones. There are multiple models present in the literature for these types of problems that incorporate the use of these transportation modes; however, to the best of the authors’ knowledge, there are still no proposals similar to this study.

Technology acceptance is a measure of that technology’s usefulness. Oil palm is one of the biggest contributors to Indonesia’s revenues, thus fueling its economy. Using remote sensing would allow a plantation to monitor and forecast its production and the amount of fertilizer used. This review aims to provide a policy recommendation in the form of a strategy to improve the added value of Indonesia’s oil palm and support the government in increasing oil palm production. This recommendation needs to be formulated by determining the users’ acceptance of remote sensing technology (state-owned plantations, private plantation companies and smallholder plantations).

This review’s methodology used sentiment analysis through text mining (bag of words model). The study’s primary data were from focus group discussions (FGDs), questionnaires, observations on participants, audio-visual documentation and focused discussions based on group category. The results of interviews and FGDs were transcribed into text and analyzed to 1) find words that can represent the content of the document; 2) classify and determine the frequency (word cloud); and finally 3) analyze the sentiment.

The result showed that private plantation companies and state-owned plantations had extremely high positive sentiments toward using remote sensing in their oil palm plantations, whereas smallholders had a 60% resistance. However, there is still a possibility for this technology’s adoption by smallholders, provided it is free and easily applied.

Basically, technology is applied to make work easier. However, not everyone is tech-savvy, especially the older generations. One dimension of technology acceptance is user/customer retention. New technology would not be immediately accepted, but there would be user perceptions about its uses and ease. At first, people might be reluctant to accept a new technology due to the perception that it is useless and difficult. Technology acceptance is the gauge of how useful technology is in making work easier compared to conventional ways.

Therefore, technology acceptance needs to be improved among smallholders by intensively socializing the policies, and through dissemination and dedication by academics and the government.

The social implications of using technology are reducing the workforce, but the company will be more profitable and efficient.

Remote sensing is one of the topics that people have not taken up in a large way, especially sentiment analysis. Acceptance of technology that utilizes remote sensing for plantations is very useful and efficient. In the end, company profits can be allocated more toward empowering the community and the environment.

Sport events’ contribution to the destinations’ local economy implies in-depth knowledge of the economic benefits generated by non-resident spectators (NRS). Thus, this study aims to answer: What is the profile and shaping factors of the consumption patterns of the several types of NRS in international surf tourism events?

A total of 263 questionnaires applied to the NRS of an international surf event were collected and analysed. The identification of the NRS profile and the predictive factors of their total expenditure were performed through the correlation of factors and multiple linear regression, respectively.

Mostly, the event attracted generation Y NRS, with a high level of education and regular sport practice. The results showed differences among the NRS: the “casuals” included more women than men; the “extensioners” integrated the NRS whose surfing practice is higher; the “event visitors”/”time switchers” mostly integrated the domestic tourism flows; the “casuals” and “extensioners” spent the most at the destination, and those whose intention to recommend/revisit the destination, respectively, was higher; and the shaping factor that most influenced the increase in NRS expenditure was the overnight stay, added by older age, higher education level and foreign origin.

Regardless of the initial motivation that led to the trip to the destination, the results verified that the event’s attributes are capable of contributing to the recommendation/visitation of the destination. Consequently, the study of economic benefits (tangible and intangible) provided by sport events in destinations should be guided by an integrative analysis of NRS.

This study aims to explore the potential use of drones in special library services, aiming to enhance accessibility, services and reliability. It examines how drones can provide library materials to individuals unable to access traditional services and addresses challenges associated with drone implementation.

This study involves a literature review and case studies to analyze the feasibility and benefits of incorporating drones into special libraries. This study also discusses the synergy between drone technology and artificial intelligence (AI) in enhancing library operations.

Drones have the potential to transform special libraries by automating tasks, improving efficiency and expanding outreach. Their application ranges from inventory management and book retrieval to security, surveillance and outreach initiatives. AI-powered drones can provide real-time data on library usage and enhance cost-effectiveness. However, challenges including costs, privacy concerns and regulatory frameworks need to be addressed.

The integration of drones and AI in special library services presents a novel approach to revolutionizing library operations. This study uniquely combines these technologies, emphasizing the importance of proactive consideration of challenges and prospects for successful implementation.

Digital data acquisition is crucial for operations in the digital transformation era. Reality capture (RC) has made an immeasurable contribution to various fields, especially in the built environment. This paper aims to review RC applications, potentials, limitations and the extent to which RC can be adopted for cost monitoring of construction projects.

A mixed-method approach, using Bibliometric analysis and the PRISMA framework, was used to review and analyse 112 peer-reviewed journal articles from the Scopus and Web of Science databases.

The study reveals RC has been applied in various areas in the built environment, but health and safety, cost and labour productivity monitoring have received little or no attention. It is proposed that RC can significantly support cost monitoring owing to its ability to acquire accurate and quick digital as-built 3D point cloud data, which contains rich measurement points for the valuation of work done.

The study’s conclusions are based only on the Scopus and Web of Science data sets. Only English language documents were approved, whereas others may be in other languages. The research is a non-validation of findings using empirical data to confirm the data obtained from RC literature.

This paper highlights the importance of RC for cost monitoring in construction projects, filling knowledge gaps and enhancing project outcomes.

The implementation of RC in the era of the digital revolution has the potential to improve project delivery around the world today. Every project’s success is largely determined by the availability of precise and detailed digital data. RC applications have pushed for more sustainable design, construction and operations in the built environment.

The study has given research trends on the extent of RC applications, potentials, limitations and future directions.

Through a project of cooperation between the Ministry of Heritage and Tourism (MHT) and Sultan Qaboos University (SQU), a team including faculty members, technicians and students from the SQU department of civil and architectural engineering (CAE), was involved in the project of documentation, survey and the development of management plans of four (4) Omani Vernacular settlements (Harat). Such an experience was meant to initiate students from different levels in undergraduate programs of civil and architectural engineering to the fieldwork and professional practice in the field of built heritage studies. The present research aims to explore the effect of such an experience on the learning process and skills acquired by the involved students.

The research was undertaken with students of CAE undergraduate programs at SQU. The documentation method has been implemented in 4 different settlements with the same students. A questionnaire has been administered to the participating students after their graduation to collect their feedback regarding the benefits of this experience on their education and skills development. The data was complemented by active observation and semi-directive interviews with some students randomly selected among the respondents to the questionnaire.

The outcome of each documentation campaign as well as the results of the questionnaires administered revealed that this experience has raised students' awareness about the importance of studying the built heritage and safeguarding it. The research has shown that important soft skills, such as team-working, leadership and communication, have been consolidated. It has also revealed that this experience was an opportunity for students to discover the variety of options within the profession of architecture and its intellectual and ethical responsibilities. Such aspects are hardly grasped when taught within a “classical” teaching/learning setting.

The main limitations of this research were the hard working conditions during the summer in Oman and the direct interaction of the students with the buildings. Even cautious, such interaction represents a risk for an already fragile heritage.

The paper includes a detailed description of the architectural documentation tools and methods used in the case studies. These tools and methods can easily be applicable, with slight adaptations, in other architectural documentation projects involving undergraduate students. The documentation methodology and the generated corpus of 3D digital models can be used in other documentation projects and further studies such as architectural typologies, bioclimatic properties, natural ventilation patterns, daylight performance, etc.

This paper reports on the outcomes of the first experience of its kind in Oman and the Gulf region, where undergraduate students (predominantly females) were involved in an interdisciplinary project for the documentation of important vernacular settlements and their buildings. The added value of this research is that its methodology can be a reference for professors of Architecture and related specialties aiming to integrate research and field work with education.

This paper analyses children's experiences of school or family visits to Hare Krishna eco-farms in Europe. The article evaluates the extent to which these encounters enable retention and recollection of memories and, consequently, trigger change towards more sustainable behaviour.

Participatory research, qualitative observations and theories of childhood memory are used to explore the nature of children's environmental encounters on Hare Krishna eco-tours.

Findings reveal that Krishna eco-tours offer a conducive environment for cerebral registering and future reminiscing through the following components: experiential learning of sustainable practices which are radically different to mainstream alternatives, sensory experiences, nature play and entertainment and freedom from everyday constraints.

The emerging literature on children's eco-tourism has largely focussed on market-related aspects and farmers' needs. In contrast, the authors’ conceptual framework, based on contemporary research in childhood memories, offers a tool to evaluate the impacts of eco-tourism from a more holistic perspective.