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With the help of basic physics, the application of computer algorithms in the form of recent advances such as machine learning and neural networking in textile Industry has been discussed in this review. Scientists have linked the underlying structural or chemical science of textile materials and discovered several strategies for completing some of the most time-consuming tasks with ease and precision. Since the 1980s, computer algorithms and machine learning have been used to aid the majority of the textile testing process. With the rise in demand for automation, deep learning, and neural networks, these two now handle the majority of testing and quality control operations in the form of image processing.

The state-of-the-art of artificial intelligence (AI) applications in the textile sector is reviewed in this paper. Based on several research problems and AI-based methods, the current literature is evaluated. The research issues are categorized into three categories based on the operation processes of the textile industry, including yarn manufacturing, fabric manufacture and coloration.

AI-assisted automation has improved not only machine efficiency but also overall industry operations. AI's fundamental concepts have been examined for real-world challenges. Several scientists conducted the majority of the case studies, and they confirmed that image analysis, backpropagation and neural networking may be specifically used as testing techniques in textile material testing. AI can be used to automate processes in various circumstances.

This research conducts a thorough analysis of artificial neural network applications in the textile sector.

This paper aims to provide an overview of the current manufacturing methods for three-dimensional textile preforms while providing experimental data on the emerging techniques of combining yarn interlocking with yarn interlooping.

The paper describes the key textile technologies used for composite manufacture: braiding, weaving and knitting. The various textile preforming methods are suited to different applications; their capabilities and end performance characteristics are analysed.

Such preforms are used in composites in a wide range of industries, from aerospace to medical and automotive to civil engineering. The paper highlights how the use of knitting technology for preform manufacture has gained wider acceptance due to its flexibility in design and shaping capabilities. The tensile properties of glass fibre knit structures containing inlay yarns interlocked between knitted loops are given, highlighting the importance of reinforcement yarns.

The future trends of reinforcement yarns in knitted structures for improved tensile properties are discussed, with initial experimental data.

This paper introduces a methodology to identify, analyse and represent heritage site attributes, emphasizing their impact on value, authenticity, integrity and management, with a case study on Ghadames, Libya. Inscribed in 1986 and moved to the In-Danger List in 2016 due to conflict, this work seeks to update the site's attributes and values for improved management.

This methodology, focusing on Ghadames, leverages recent heritage management advancements to monitor conflict-induced changes, aiming to enhance decision-making through a detailed analysis of the site's natural and cultural attributes.

Our findings highlight the need for systematic and holistic assessments of heritage site attributes and values, crucial for managing sites of both local and global significance. This approach is a key to understanding their identity, guiding interpretation, management and preserving cultural significance.

Developed for Ghadames, the methodology requires adaptation for other sites, underscoring the importance of identifying core tangible and intangible attributes that define a site's uniqueness.

Our developed methodology offers a replicable framework that can be modified by local heritage professionals to map attributes and assess the direct and indirect impact of conflict on heritage sites.

The detailed assessment provides a foundation for crafting informed policies and effective management strategies. It specifically targets minimizing the adverse effects of conflict on heritage sites' attributes. This effort is instrumental in preparing the necessary documentation to support the delisting of these sites from the UNESCO World Heritage Site In-Danger List, promoting their preservation and recovery.

This research explores the community's role in feeding a culturally sustainable development project over time and the practices which operationally allow the bridging of cultural heritage management and sustainable development according to the approach of “culture as sustainability”.

The primary and secondary sources relate to nearly 20 years of life of the Tuscan Mining Geopark case belonging to the United Nations Educational, Scientific and Cultural Organization (UNESCO) European and Global Geopark Networks. Textual analysis was applied to the dataset. The interpretative approach was aligned with other investigations within this research field.

The results highlight how a bold project in an uncertain context harnessed bottom-up mobilisation and accountability to stimulate a sustainable community empowerment. The ability to experiment and learn from experience depicts an organisational logic far from the top-down and predefined design practice widely contested in the literature.

Despite a single case study was analysed, it enables researchers to craft a conceptual model for culturally sustainable development projects, and it fills the literature gap on how to operationalise culture as sustainability under the managerial perspective.

The model assembles an organisational process view and practices that can be tailored to a cultural context with insights for developing culturally sustainable projects.

The research increases the observations of community empowerment within culturally sustainable development projects. It demonstrates how the “incompleteness of the design” was not a weakness but rather a trigger of effective organisational practices.

This paper aims to address socio-spatial challenges facing the sustainable regeneration of the 19th-century historic covered Attaba market. One of the few remaining historic market buildings in Cairo. Understanding these challenges is crucial as there is a pressing need for these buildings to be included in the national heritage regeneration policies that would foster their role as sustainable socio-economic urban nuclei within the city center.

The paper detects the socio-spatial transformation of the Attaba market through the comparison of archival material. This is supported by observations on the current socio-spatial aspects of the market including forms of interactions, conflicts and interventions of various user groups. A number of 30 semi-structured interviews with traders of the Attaba market were conducted inside the market, along with in-depth observations carried out between 2016 and 2018. Finally, information about local policies toward the market is obtained through interviews with local officials currently managing the market, namely, the Egyptian Endowment Authority and Cairo Governorate.

The findings reveal a lack of clear regeneration policy and a complete absence of public participation in decision-making. These factors erode the crucial role these markets play in revitalizing the city’s socio-economic strength and threaten their tangible and intangible values.

The paper focuses on one of the understudied building types that, however, represent key opportunities for the sustainable development of their contexts. The paper proposes a framework that can be applied to regenerate the Attaba market and its surroundings. When tested, the framework can be also adjusted and applied to the other historic covered markets in Cairo.