The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management

Sustainability, Год журнала: 2023, Номер 15(13), С. 10543 - 10543

Опубликована: Июль 4, 2023

Floods are a devastating natural calamity that may seriously harm both infrastructure and people. Accurate flood forecasts control essential to lessen these effects safeguard populations. By utilizing its capacity handle massive amounts of data provide accurate forecasts, deep learning has emerged as potent tool for improving prediction control. The current state applications in forecasting management is thoroughly reviewed this work. review discusses variety subjects, such the sources utilized, models used, assessment measures adopted judge their efficacy. It assesses approaches critically points out advantages disadvantages. article also examines challenges with accessibility, interpretability models, ethical considerations prediction. report describes potential directions deep-learning research enhance predictions Incorporating uncertainty estimates into integrating many sources, developing hybrid mix other methodologies, enhancing few these. These goals can help become more precise effective, which will result better plans forecasts. Overall, useful resource academics professionals working on topic management. reviewing art, emphasizing difficulties, outlining areas future study, it lays solid basis. Communities prepare destructive floods by implementing cutting-edge algorithms, thereby protecting people infrastructure.

Язык: Английский

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Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review

Energies, Год журнала: 2023, Номер 16(10), С. 4025 - 4025

Опубликована: Май 11, 2023

The use of machine learning and data-driven methods for predictive analysis power systems offers the potential to accurately predict manage behavior these by utilizing large volumes data generated from various sources. These have gained significant attention in recent years due their ability handle amounts make accurate predictions. importance particular momentum with transformation that traditional system underwent as they are morphing into smart grids future. transition towards embed high-renewables electricity is challenging, generation renewable sources intermittent fluctuates weather conditions. This facilitated Internet Energy (IoE) refers integration advanced digital technologies such Things (IoT), blockchain, artificial intelligence (AI) systems. It has been further enhanced digitalization caused COVID-19 pandemic also affected energy sector. Our review paper explores prospects challenges using provides an overview ways which constructing can be applied order them more efficient. begins description role operations. Next, discusses systems, including benefits limitations. In addition, reviews existing literature on this topic highlights used Furthermore, it identifies opportunities associated methods, quality availability, discussed. Finally, concludes a discussion recommendations research application future grid-driven powered IoE.

Язык: Английский

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Solid waste management in the context of the waste hierarchy and circular economy frameworks: An international critical review

Integrated Environmental Assessment and Management, Год журнала: 2023, Номер 20(1), С. 9 - 35

Опубликована: Апрель 11, 2023

Growing populations and consumption drive the challenges of solid waste management (SWM); globalization transport, food production, trade, including trading, distributes risks worldwide. Using hierarchy (WH; reduce, reuse, recycle) circular economy (CE) concepts, we updated a conceptual framework used by international organizations to evaluate SWM practices. We identified key steps important factors, as well stakeholders, which are essential features for effective SWM. Within this framework, qualitatively evaluated global strategies practices, identifying opportunities, barriers, best find that, although few exceptional countries exhibit zero-waste compliance, most fare poorly, exhibited high generation, incineration, disposal (open dumping, landfilling) volumes. In Global North, practices rely heavily on technologies, economic tools, regulatory frameworks, education, social engagement raise stakeholder awareness enhance inclusion participation; in South, however, many governments take sole legal responsibility SWM, seeking eliminate public "nuisance." Separation recycling South implemented mainly "informal" economies subsistence needs recyclable material retrieval. Imported, regionally inappropriate constraints, weak policies governance, noninclusive participation, data limitations, limited continue pose major environmental across nations. context conclude that from around world can be guide decision-making, globally. Despite variations drivers regions, nations both North need improve WH CE partnership, awareness, participation throughout process. Partnerships between could better manage traded wastes, reduce adverse impacts, sustainability equity, supporting UN Sustainable Development Goals. Integr Environ Assess Manag 2024;20:9-35. © 2023 The Authors. Integrated Environmental Assessment Management published Wiley Periodicals LLC behalf Society Toxicology & Chemistry (SETAC).

Язык: Английский

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DATA-DRIVEN SUSTAINABILITY: HOW FINTECH INNOVATIONS ARE SUPPORTING GREEN FINANCE

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(3), С. 760 - 773

Опубликована: Март 10, 2024

In recent years, the intersection of finance and sustainability has garnered significant attention as global community grapples with urgent need to address environmental challenges. This abstract explores role fintech innovations in supporting green through data-driven approaches. Fintech, characterized by its use technology enhance financial services, emerged a key driver leveraging data analytics, machine learning, blockchain promote facilitate investments. Fintech are revolutionizing providing investors, businesses, consumers tools platforms make informed decisions that align objectives. By harnessing power big advanced companies able analyze vast amounts environmental, social, governance (ESG) assess risks opportunities, develop sustainable investment strategies, track impact portfolios. One contributions is development enable investors allocate capital towards environmentally friendly projects companies. These leverage analytics screen investments based on ESG criteria, provide transparency into footprint investments, empower choices their values preferences. Furthermore, facilitating integration principles traditional such banking, lending, insurance. technology, enhancing transparency, traceability, efficiency supply chains, carbon trading, renewable energy financing. However, challenges remain full potential fintech. include privacy security concerns, regulatory uncertainties, for greater collaboration standardization among stakeholders. conclusion, represents transformative force finance, playing pivotal driving transition more resilient system. empowering stakeholders stewardship support low-carbon economy. Keywords: Data-Driven, Sustainability, Innovation, Green Finance.

Язык: Английский

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Review of smart water management: IoT and AI in water and wastewater treatment

World Journal of Advanced Research and Reviews, Год журнала: 2024, Номер 21(1), С. 1373 - 1382

Опубликована: Янв. 19, 2024

Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) in smart water management revolutionizes sustainable resource utilization. This comprehensive review explores these technologies' benefits, challenges, regulatory implications, future trends. Smart enhances operational efficiency, predictive maintenance, conservation while addressing data security infrastructure investment challenges. Regulatory frameworks play a pivotal role shaping responsible deployment AI IoT, ensuring privacy ethical use. Future trends include advanced sensors, decentralized systems, quantum computing, blockchain for enhanced security. The alignment with Sustainable Development Goals (SDGs) underscores transformative potential achieving universal access to clean water, climate resilience, inclusive, development. As we embrace technologies, collaboration, public awareness, considerations will guide evolution intelligent equitable systems.

Язык: Английский

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DATA-DRIVEN ENERGY MANAGEMENT: REVIEW OF PRACTICES IN CANADA, USA, AND AFRICA

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(1), С. 219 - 230

Опубликована: Янв. 24, 2024

This research explores data-driven energy management practices in Canada, the USA, and Africa, offering a comparative analysis of successes, challenges, future implications. Integrating smart grid technologies supportive regulatory frameworks North America has driven efficiency gains sustainability. Conversely, Africa faces unique including infrastructural limitations, yet showcases localized successes enhancing access. Lessons learned emphasize stakeholder collaboration adaptable frameworks, providing valuable insights for global strategies. The study identifies gaps technological infrastructure recommends collaborative, context-specific solutions. As community moves towards sustainable futures, these findings contribute to nuanced understanding, guiding policymakers, industry stakeholders, researchers shaping resilient inclusive systems. Keywords: Data-Driven Energy Management, Comparative Analysis, Sustainability, Global Landscape.

Язык: Английский

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ENHANCING CUSTOMER SERVICE IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF DATA-DRIVEN INSIGHTS AND METHODOLOGIES FOR PERSONALIZED SERVICE OFFERINGS

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(3), С. 582 - 593

Опубликована: Март 7, 2024

Enhancing customer service in satellite telecommunications is a critical focus area for companies seeking to differentiate themselves competitive market. This Review reviews data-driven insights and methodologies aimed at delivering personalized offerings customers. Personalized leverage data analytics tailor services individual needs preferences. By analyzing data, such as usage patterns, history, feedback, can gain valuable into behavior These enable offer customized that meet the specific of each customer. Data-driven play crucial role enhancing telecommunications. identify trends patterns help them understand preferences better. understanding enables develop resonate with customers drive satisfaction loyalty. Methodologies include predictive analytics, machine learning, artificial intelligence. Predictive forecast anticipate future needs, allowing proactively address needs. Machine learning algorithms analyze large volumes would be difficult humans detect. Artificial intelligence enhance by enabling automate processes provide recommendations In conclusion, requires approach leverages deliver offerings. using advanced AI technologies, preferences, driving loyalty. Keywords: Customer Service, Satellite, Telecommunications, Data-driven, Service Offerings.

Язык: Английский

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Conceptual framework for global protection against technology-enabled violence against women and girls

International Journal of Science and Research Archive, Год журнала: 2024, Номер 11(2), С. 279 - 287

Опубликована: Март 12, 2024

Technology-enabled violence against women and girls has emerged as a significant complex issue in today's digital age. This form of violence, which includes cyberstalking, online harassment, the non-consensual sharing intimate images, poses serious threats to safety, privacy, well-being worldwide. Addressing this requires comprehensive coordinated response that integrates legal, technological, social interventions. concept paper proposes conceptual framework for global protection technology-enabled girls. The is based on thorough review existing literature, research, best practices field, aims provide roadmap stakeholders develop effective strategies interventions prevent address violence. consists Legal Dimension focuses legal frameworks mechanisms needed It an analysis laws regulations, well recommendations strengthening protections ensuring accountability perpetrators. Technological explores role technology both perpetrating preventing examination technological solutions, such security tools platforms, ethical considerations related development use. Social examines cultural factors contribute gender norms, power dynamics, media dynamics influence prevalence impact also implementing its at level, including advocacy efforts, capacity-building initiatives, partnerships with governments, civil society organizations, private sector. emphasizes importance multi-stakeholder collaboration addressing issue. Overall, holistic approach pressing challenge. We hope will serve valuable resource working create safer more inclusive environment

Язык: Английский

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Maternal and child health policy: A global review of current practices and future directions

World Journal of Advanced Research and Reviews, Год журнала: 2024, Номер 21(2), С. 1770 - 1781

Опубликована: Фев. 28, 2024

Maternal and child health remains a paramount concern worldwide, with policy frameworks playing pivotal role in shaping outcomes for mothers children. This paper provides concise overview of the global landscape maternal policies, encompassing current practices outlining key directions future. Current policies vary significantly across regions nations. Successful often integrate evidence-based interventions that span continuum care, from preconception to postpartum early childhood. typically focus on ensuring access quality antenatal skilled birth attendance, postnatal support. Child emphasize immunization, nutrition, childhood development programs. However, disparities persist, reflecting need targeted address specific regional challenges. Future holistic integrated approach. The community recognizes importance addressing social determinants, promoting gender equity, strengthening systems ensure comprehensive care Innovations digital health, engagement, cross-sectoral collaborations are identified as crucial components improving effectiveness. Additionally, life-course perspective, extending beyond childbirth adolescence beyond, is gaining prominence evolving needs women snapshot intricate globally. By understanding identifying future directions, policymakers, healthcare professionals, stakeholders can contribute advancing scale.

Язык: Английский

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Advancing Educational Outcomes with Artificial Intelligence: Challenges, Opportunities, And Future Directions

International Journal of Computational and Experimental Science and Engineering, Год журнала: 2024, Номер 10(4)

Опубликована: Дек. 27, 2024

Artificial intelligence (AI) into education is becoming a transformative agent offering new chances for enhancing administrative processes, teaching, and learning. Particularly machine learning (ML) deep (DL), recent advances in artificial technologies have shown great potential predicting academic achievement, improving teaching strategies, so supporting decision-making inside educational institutions. Notwithstanding these advances, there are obvious problems limits that to be addressed if we fully exploit the of field education. Recent research reveals significant like poor contextual adaptability models, insufficient integration emerging augmented reality (AR), challenges distance Although AR systems still under investigated, current models usually rely on generalised datasets lacking diversity environments. The shift online has underscored even more requirement solid, contextually relevant manage assessment student interaction, technology acceptance. By means comprehensive examination corpus present literature, this paper evaluates position applications highlighting needs constraints. Emphasising their capacity solve discovered challenges, survey focusses ML DL application. analysis studies recommended future routes, study aims offer pragmatic insights recommendations efficiency

Язык: Английский

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