Explainable Artificial Intelligence (XAI)

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 333 - 362

Опубликована: Окт. 16, 2024

Explainable AI (XAI) is important in situations where decisions have significant effects on the results to make systems more reliable, transparent, and people understand how work. In this chapter, an overview of AI, its evolution are discussed, emphasizing need for robust policy regulatory frameworks responsible deployment. Then key concept use XAI models been discussed. This work highlights XAI's significance sectors like healthcare, finance, transportation, retail, supply chain management, robotics, manufacturing, legal criminal justice, etc. profound human societal impacts. Then, with integrated IoT renewable energy management scope smart cities addressed. The study particularly focuses implementations solutions, specifically solar power integration, addressing challenges ensuring transparency, accountability, fairness AI-driven decisions.

Язык: Английский

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A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions

Applied Sciences, Год журнала: 2024, Номер 14(14), С. 6214 - 6214

Опубликована: Июль 17, 2024

This review comprehensively examines the burgeoning field of intelligent techniques to enhance power systems’ stability, control, and protection. As global energy demands increase renewable sources become more integrated, maintaining stability reliability both conventional systems smart grids is crucial. Traditional methods are increasingly insufficient for handling today’s grids’ complex, dynamic nature. paper discusses adoption advanced intelligence methods, including artificial (AI), deep learning (DL), machine (ML), metaheuristic optimization algorithms, other AI such as fuzzy logic, reinforcement learning, model predictive control address these challenges. It underscores critical importance system new challenges integrating diverse sources. The reviews various used in analysis, emphasizing their roles maintenance, fault detection, real-time monitoring. details extensive research on capabilities ML algorithms precision efficiency protection systems, showing effectiveness accurately identifying resolving faults. Additionally, it explores potential logic decision-making under uncertainty, integration IoT big data analytics monitoring optimization. Case studies from literature presented, offering valuable insights into practical applications. concludes by current limitations suggesting areas future research, highlighting need robust, flexible, scalable sector. a resource researchers, engineers, policymakers, providing detailed understanding

Язык: Английский

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Designing Cybersecurity Measures for Enterprise Software Applications to Protect Data Integrity

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 1920 - 1941

Опубликована: Авг. 23, 2024

In an era of escalating cyber threats, safeguarding data integrity in enterprise software applications is critical for maintaining trust and operational stability. Designing robust cybersecurity measures essential to protect sensitive information from unauthorized access, alteration, loss. This review explores key strategies methodologies developing comprehensive frameworks tailored applications. Effective begins with a thorough risk assessment identify potential vulnerabilities threats specific the enterprise's environment. Implementing multilayered security measures, including encryption, access controls, authentication protocols, vital mitigating risks. Encryption protects transit at rest, ensuring that even if intercepted, remains unintelligible parties. Access controls mechanisms, such as multifactor (MFA), enhance by verifying identity users restricting based on roles permissions. Regular audits vulnerability assessments play crucial role detecting addressing weaknesses. These should be conducted both internally externally provide view posture. Additionally, adopting secure coding practices integrating into development lifecycle (SDLC) help identifying during phase. Incident response planning another aspect cybersecurity. Developing well-defined incident plan ensures can quickly effectively address breaches, minimizing damage restoring integrity. includes establishing protocols detecting, responding to, recovering incidents. Educating training employees about best Employees aware common phishing social engineering attacks, understand their enterprise’s data. conclusion, designing effective requires multifaceted approach assessment, regular audits, practices, planning, employee training. By implementing these strategies, enterprises defenses, integrity, ensure resilience against evolving threats. Keywords: Designing, Cybersecurity, Data Integrity, Software Applications, Enterprise.

Язык: Английский

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A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes

Green Energy and Intelligent Transportation, Год журнала: 2025, Номер unknown, С. 100260 - 100260

Опубликована: Янв. 1, 2025

Язык: Английский

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

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(8), С. 1612 - 1641

Опубликована: Авг. 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.

Язык: Английский

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The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review

Energies, Год журнала: 2025, Номер 18(5), С. 1192 - 1192

Опубликована: Фев. 28, 2025

The transition from fossil fuels to renewable energy (RE) sources is an essential step in mitigating climate change and ensuring environmental sustainability. However, large-scale deployment of renewables accompanied by new challenges, including the growing demand for rare-earth elements, need recycling end-of-life equipment, rising footprint digital tools—particularly artificial intelligence (AI) models. This systematic review, following Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, explores how lightweight, distilled AI models can alleviate computational burdens while supporting critical applications systems. We examined empirical conceptual studies published between 2010 2024 that address energy, circular economy paradigm, model distillation low-energy techniques. Our findings indicate adopting significantly reduce consumption data processing, enhance grid optimization, support sustainable resource management across lifecycle infrastructures. review concludes highlighting opportunities challenges policymakers, researchers, industry stakeholders aiming integrate principles into RE strategies, emphasizing urgent collaborative solutions incentivized policies encourage low-footprint innovation.

Язык: Английский

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Enhancing software development practices with AI insights in high-tech companies

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 1897 - 1919

Опубликована: Авг. 23, 2024

Artificial Intelligence (AI) is revolutionizing software development practices in high-tech companies, providing transformative insights and tools that enhance productivity, quality, efficiency. This review explores the integration of AI into processes, highlighting its impact on key areas such as code generation, bug detection, project management, testing. AI-driven are enabling developers to automate repetitive tasks, optimize code, identify potential issues before they become critical, thus reducing time improving reliability. Machine learning algorithms analyze vast amounts data from past projects provide predictive analytics, guiding teams decision-making resource allocation. Natural language processing (NLP) facilitates more intuitive interactions with tools, streamlining communication collaboration among team members. Furthermore, enhances continuous deployment (CI/CD) pipelines by automating testing stages, ensuring changes seamlessly integrated deployed minimal human intervention. By leveraging AI, companies can adopt agile methodologies, respond swiftly market changes, deliver high-quality products. The also discusses challenges integrating development, including need for substantial initial investment, complexity models, importance privacy security. Solutions fostering a culture learning, investing AI-specific training developers, establishing robust governance frameworks essential overcoming these barriers. In conclusion, offer significant advantages them their practices, achieve greater efficiency, maintain competitive edge rapidly evolving technological landscape. Embracing advancements requires strategic approach, investment technologies training, fully harness drive innovation development. Keywords: Software Development, High-Tech, Practices, Companies.

Язык: Английский

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AI-driven optimization of indoor environmental quality and energy consumption in smart buildings: a bio-inspired algorithmic approach

Journal of Asian Architecture and Building Engineering, Год журнала: 2025, Номер unknown, С. 1 - 25

Опубликована: Фев. 28, 2025

Язык: Английский

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Optimizing Gas and Steam Turbine Performance Through Predictive Maintenance and Thermal Optimization for Sustainable and Cost-Effective Power Generation

Опубликована: Март 26, 2025

The performance of gas and steam turbines plays a pivotal role in the efficiency sustainability power generation systems. This review explores innovative approaches to optimizing turbine through predictive maintenance thermal optimization, with focus on enhancing cost-effectiveness plants. Predictive maintenance, leveraging advanced data analytics, machine learning algorithms, Internet Things (IoT) technologies, enables early detection faults degradation, thereby reducing downtime costs. Thermal optimization techniques, such as cooling systems, improved heat recovery processes, optimized combustion strategies, are essential for maximizing minimizing energy losses. integration both strategies—predictive optimization—enables plants achieve optimal performance, reduce fuel consumption, extend lifespan turbines, contribute reduction carbon emissions. paper also examines case studies application these technologies context modern providing insights into their potential drive sustainable cost-effective solutions. Furthermore, challenges high capital investment, technological complexity, need skilled workforce development discussed, along recommendations overcoming barriers full optimization.

Язык: Английский

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Introduction to innovative technologies for waste-to-energy conversion using automation and machine learning

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 1 - 27

Опубликована: Янв. 1, 2025

Язык: Английский

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