AI-Driven accessibility: Transformative software solutions for empowering individuals with disabilities

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1612 - 1641

Published: Aug. 3, 2024

The integration of artificial intelligence (AI) in developing software solutions marks a pivotal advancement enhancing accessibility for individuals with disabilities. This paper explores the transformative potential AI-driven technologies designed to empower those physical, sensory, and cognitive impairments. AI's capability learn adapt diverse user needs enables creation personalized intuitive applications, offering unprecedented levels independence inclusion. encompass various innovations, including speech recognition, natural language processing (NLP), computer vision. Speech recognition facilitate communication hearing impairments by converting spoken into text vice versa. NLP advancements have enabled development sophisticated text-to-speech systems, which can read aloud content visually impaired users, prediction tools that assist users motor typing efficiently. Furthermore, vision technology provides real-time image video aiding navigating their environment identifying objects. These are integrated everyday devices platforms, significantly utility accessibility. For instance, AI-powered screen readers voice assistants now embedded smartphones computers, providing seamless access information digital services. Educational leveraging AI ensures learning materials accessible all students, regardless disabilities, tailored support. impact extends beyond personal empowerment societal By enabling greater participation education, employment, social activities, these help bridge gap between disabilities peers. Companies organizations benefit from talents perspectives more inclusive workforce, driving innovation economic growth. However, implementation also present challenges. Ensuring data privacy security, avoiding bias algorithms, maintaining affordability user-friendliness critical considerations. Ongoing research, collaboration among stakeholders, design practices essential address challenges maximize benefits In conclusion, revolutionizing way interact world. harnessing power AI, offer opportunities independence, inclusion, empowerment, ultimately contributing equitable society. Keywords: Al-Driven, Accessibility, Transformative, Disabilities, Empowering.

Language: Английский

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Leveraging Artificial Intelligence and Strategic Management for Success in Inter/National Projects in US and Beyond

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(8), P. 49 - 59

Published: July 25, 2024

The place of artificial intelligence (AI) and strategic management (SM) in the success any projects cannot be overemphasized. This study critically explores AI SM attainment national international US beyond, drawing evidence from previous studies. Relying on secondary data, drawn internet subjected to a critical analytic exposition thematic systematic review, shows that play multifaceted functions guarantee projects. paper concludes once deployed judiciously, have potentials fostering different implication findings is can used combination for more results, as attain significant successes managing well business other activities/affairs. It recommends judicious adoption application two project desired results inter/national beyond.

Language: Английский

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Leveraging Cost-Effective AI and Smart Technologies for Rapid Infrastructural Development in USA

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(1), P. 59 - 71

Published: July 26, 2024

High cost of building makes houses expensive for US citizens and residents. Thus, this study proposes the leveraging cost-effective artificial intelligence (AI) smart technologies (ST) rapid infrastructural development in US. It considers them as sustainable means tackling challenges attainment affordable houses. The explores potentials prominent AI capable reducing US, which would become all. primary data are obtained from telephone interviews with 10 construction workers 5 experts AI, alongside observation introspection. secondary drawn library internet. Qualitative method, thematic content analyses, systematic review, descriptive interpretive tools employed. results show Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Robotic Process Automation to be technologies, while Building Systems, Internet Things, Renewable Energy Smart Water Management Systems technologies. concludes that identified not only cost-effective, but also transformative innovation-driven can leveraged increase efficiency, productivity, quality delivery satisfactory services. recommends government organizations cost-effectiveness towards attaining USA.

Language: Английский

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MSVMD-Informer: A Multi-Variate Multi-Scale Method to Wind Power Prediction

Energies, Journal Year: 2025, Volume and Issue: 18(7), P. 1571 - 1571

Published: March 21, 2025

Wind power prediction plays a crucial role in enhancing grid stability and wind energy utilization efficiency. Existing methods demonstrate insufficient integration of multi-variate features, such as speed, temperature, humidity, along with inadequate extraction correlations between variables. This paper proposes novel multi-scale method named variational mode decomposition informer (MSVMD-Informer). First, modal module is designed to decompose univariate time-series features into multiple scales. Adaptive graph convolution applied extract scales, while self-attention mechanisms are utilized capture temporal dependencies within the same scale. Subsequently, feature fusion proposed better account for inter-variable correlations. Finally, reconstructed by integrating aforementioned modules, enabling forecasting. The was evaluated through comparative experiments ablation studies against seven baselines using public dataset two private datasets. Experimental results that our achieves optimal metric performance, its lowest MAPE scores being 1.325%, 1.500% 1.450%, respectively.

Language: Английский

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Generative AI in construction risk management: a bibliometric analysis of the associated benefits and risks

Urbanization, sustainability and society., Journal Year: 2025, Volume and Issue: 2(1), P. 196 - 228

Published: March 25, 2025

Purpose The construction industry is under increasing pressure to improve risk management due the complexity and uncertainty inherent in its projects. Generative artificial intelligence (GenAI) has emerged as a promising tool address these challenges; however, there remains limited understanding of benefits risks (CRM). This study aims conduct bibliometric analysis current research on GenAI CRM, exploring publication trends, citations, keywords, intellectual linkages, key contributors methodologies. Design/methodology/approach A review Scopus publications from 2014 2024 identifies categories GenAI’s for CRM. Using VOSViewer, visual maps illustrate collaboration networks citation patterns. Findings findings reveal notable increase interest with classified into technical, operational, technological integration categories. Risks are grouped nine areas, including social, security, data performance. Research limitations/implications Despite comprehensive scope, this focuses exclusively peer-reviewed studies published between 2024, potentially excluding relevant outside period or non-peer-reviewed sources. Additionally, relied specific set which may have excluded using alternative terminology categorised related fields. Practical implications categorisation CRM provides foundation critical processes, such analysis, evaluation response planning. identified benefits, improved prediction, alongside associated risks, ethical security issues, enables practitioners balance innovation caution, ensuring effective responsible adoption technologies. Originality/value offers novel providing field’s evolution global landscape. Through lays groundwork developing models. it methodologies enabling academics refine approaches bridge gaps. work not only enhances theoretical insights but also actionable strategies integrating practices effectively responsibly.

Language: Английский

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Advanced strategies for achieving comprehensive code quality and ensuring software reliability

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 1751 - 1779

Published: Aug. 3, 2024

Achieving comprehensive code quality and ensuring software reliability are critical goals in modern engineering. This paper delves into advanced strategies that encompass both technical organizational practices, aiming to enhance boost reliability. Key include the implementation of rigorous review processes, adoption automated testing frameworks, utilization static dynamic analysis tools. Firstly, processes fundamental for maintaining high standards quality. By fostering a collaborative environment where peer reviews routine, teams can catch potential issues early, ensure adherence coding standards, promote knowledge sharing. practice not only improves but also enhances team cohesion expertise. Secondly, frameworks indispensable achieving test coverage reducing incidence bugs. Unit tests, integration end-to-end when automated, provide continuous feedback changes do introduce new defects. approach is crucial reliability, especially agile DevOps environments rapid iterations common. Furthermore, tools development pipeline offers additional layers assurance. Static inspect codebase vulnerabilities, smells, compliance with without executing program. Dynamic tools, on other hand, evaluate during runtime detect memory leaks, concurrency issues, performance bottlenecks. Together, these assessment code’s health Moreover, culture improvement learning within essential. Regular training sessions, workshops, knowledge-sharing activities help keeping updated latest advancements engineering practices Encouraging mindset quality-first among developers ensures long-term benefits sustainability. In conclusion, require multifaceted integrates reviews, Coupled strong improvement, collectively contribute robust, reliable, high-quality systems. Keywords: Software Reliability, Code Quality, Advanced, Strategies, Comprehensive.

Language: Английский

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Achieving Housing Affordability in the U.S. through Sustained Use of AI and Robotic Process Automation for Prefabricated Modular Construction

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(1), P. 122 - 134

Published: Aug. 13, 2024

The rising housing issues occasioned by high costs in the United States (US) are traceable to of building materials and construction. This study proposes combined leveraging AI Robotic Process Automation (RPA) for prefabricated modular construction as a strategic means reducing increasing efficiency It argues that doing so would pave way affordability US. Deploying descriptive survey qualitative method alongside applicable interpretive techniques, demonstrates course its analysis RPA viable housing, efficiency. submits amidst established constraints ideal extent activities, yields huge positive results among which reduced increased Government organizations charged play enabling roles adoption sustainability including construction, achieve increase

Language: Английский

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Exploring the Effectiveness of Big Data in Profitability of Construction Projects

Applied and Computational Engineering, Journal Year: 2025, Volume and Issue: 120(1), P. 209 - 213

Published: Jan. 3, 2025

The complexity of construction projects is generally high, requiring the collection and processing data from diverse sources. Big data-based analytics technologies can help such a project in different ways to improve profitability. However, their use comes with inherent risks, particularly concerning security accuracy. Data accuracy concern, as it directly impacts credibility reliability outcomes. research examines effectiveness profitability through extensive literature review case analysis. Findings highlight that key determinant this context. Construction firms need enforce policies procedures ensure quality, while performing collection. With accurate data, leverage make informed, data-driven decisions drive success.

Language: Английский

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Advancements in electronics cooling techniques: focus on graphene’s prospects, challenges, and future directions

Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

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Revolutionising Green Construction: Harnessing Zeolite and AI-Driven Initiatives for Net-Zero and Climate-Adaptive Buildings

Buildings, Journal Year: 2025, Volume and Issue: 15(6), P. 885 - 885

Published: March 12, 2025

This study explored the role of zeolite and AI-driven initiatives in sustainable construction, particularly for net-zero climate-adaptive buildings. A quantitative, scientometric, narrative review was conducted using bibliometric analysis existing publications from Scopus Web Science databases to identify research trends, key contributions, technological advancements. The findings revealed that enhances construction materials by improving thermal regulation, air purification, carbon capture, while AI optimises energy efficiency, predictive maintenance, material performance. cost–benefit showed integrating reduces long-term costs building sustainability. Comparisons with previous studies highlighted increasing adoption these technologies due their environmental economic benefits. concluded combination provides innovative solutions green offering energy-efficient, climate-resilient, cost-effective materials.

Language: Английский

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