Cloud Computing Adoption for Small and Medium Enterprises in Mechanical Engineering DOI

K. Chandra Sekhar,

L. Ranganathan,

S. Bathrinath

et al.

Advances in web technologies and engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 219 - 247

Published: May 16, 2024

This chapter delves into the adoption of cloud computing in small and medium-sized enterprises (SMEs) mechanical engineering, highlighting its transformative potential. It discusses benefits infrastructure, such as improved operational efficiency innovation, but also addresses security privacy challenges. The provides strategies to mitigate these risks emphasizes importance tailoring solutions meet unique needs SMEs. future technology, focusing on emerging trends innovations. examines regulatory compliance adherence for a secure compliant integration journey. concludes with comprehensive roadmap SMEs offering practical strategies, lessons learned, forward-looking perspective ever-evolving intersection engineering.

Language: Английский

Intelligent Machines, IoT, and AI in Revolutionizing Agriculture for Water Processing DOI

Krishnagandhi Pachiappan,

K. Anitha,

R. Pitchai

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2023, Volume and Issue: unknown, P. 374 - 399

Published: Nov. 27, 2023

Modern agriculture faces numerous challenges, ranging from rising global food demand to water scarcity. To address these issues, the incorporation of intelligent machines, Internet Things (IoT), and artificial intelligence (AI) in agricultural processing has become critical. This chapter investigates technologies' transformative potential for optimizing usage, increasing crop yields, ensuring sustainable practices. It delves into key concepts applications, emphasizing advantages disadvantages this novel approach. Farmers can make data-driven decisions, automate irrigation processes, adapt changing environmental conditions by leveraging AI IoT-enabled systems, ultimately contributing a more efficient environmentally friendly sector.

Language: Английский

Citations

66

Harnessing 6G for Consumer-Centric Business Strategies Across Electronic Industries DOI

A. Ravisankar,

A. L. Shanthi,

S. Moghana Lavanya

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 241 - 270

Published: March 1, 2024

The advent of 6G technology promises revolutionary advancements in connectivity, offering not just faster speeds but a paradigm shift consumer experiences across electronic industries. This chapter delves into the realm leveraging beyond its connectivity prowess, exploring how it serves as catalyst for innovative and consumer-centric business strategies. By examining potential impact on various sectors—such augmented reality, healthcare, autonomous vehicles, smart cities—this illuminates transformative power 6G. Through detailed analysis capabilities, challenges, integration AI, IoT, edge computing, this aims to provide insights harnessing 6G's drive new wave personalized immersive experiences, redefining landscape engagement industry.

Language: Английский

Citations

48

Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in Healthcare DOI

P. Siva Satya Sreedhar,

V. Sujay,

Maderametla Roja Rani

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 209 - 234

Published: April 5, 2024

The healthcare industry is undergoing a transformation due to the convergence of advanced technologies. This chapter explores impact 5G connectivity, machine learning, and social media integration in healthcare. It delves into evolution telemedicine, role communication, emergence networks learning. also discusses foundations technology, its implications for ethical considerations learning techniques highlights potential foster professional connections, enable collaboration, educate patients. addresses challenges like adoption barriers, dilemmas, legal considerations, envisioning future where these technologies integrate efficient, ethical, patient-centric

Language: Английский

Citations

47

Advancements in Machine Learning and AI for Intelligent Systems in Drone Applications for Smart City Developments DOI
Sampath Boopathi

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 15 - 45

Published: Jan. 24, 2024

The chapter explores the integration of drones, machine learning, and artificial intelligence (AI) in smart city development. Drones can revolutionize urban planning, energy efficiency, noise reduction, environmental monitoring, traffic management, infrastructure inspection, public safety, data security, privacy protection. AI-driven solutions enable data-driven decision-making for resource allocation, sustainability, predictive modeling. AI optimizes flight paths reduction strategies enhance drone social acceptance, autonomous navigation is crucial safe deployment. optimize flow, reduce congestion, safety. provides insights into patterns, drones aid law enforcement, emergency response, first responder support. Data security protection measures are essential maintaining trust.

Language: Английский

Citations

45

Cloud Computing and Machine Learning in the Green Power Sector DOI
Satyanarayana Tirlangi, Shashiraj Teotia,

G. Padmapriya

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 148 - 179

Published: April 4, 2024

The green power sector is revolutionizing energy production, grid management, and sustainability by integrating cloud computing machine learning techniques. This chapter explores data handling processes, including sources, collection methods, preprocessing, computing. It discusses algorithms for predictive modeling real-time monitoring. Key benefits, challenges, considerations are discussed, along with case studies of successful adoption in projects. also emphasizes governance, security, integration techniques, warehousing solutions growing requirements. offers efficiency, reliability, environmental responsibility, but faces challenges like privacy, scalability, regulatory compliance.

Language: Английский

Citations

41

Strengthening Security, Privacy, and Trust in Artificial Intelligence Drones for Smart Cities DOI
R. Sonia, Neha Gupta, K. Manikandan

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 214 - 242

Published: Jan. 5, 2024

Smart cities are transforming by integrating artificial intelligence (AI) drones for various applications, including traffic monitoring, public space management, and surveillance. However, the increasing reliance on AI raises concerns about security, privacy, trust of both technology data it collects processes. Ensuring these factors is crucial success smart cities. The chapter explores challenges strategies improving in It emphasizes role urban innovation, evolving threat landscape, importance robust security measures. Privacy considerations also discussed, along with transparency, accountability, ethical use, engagement. Technical solutions include algorithms, secure communication protocols, trusted hardware software components. future trends emerging technologies regulatory landscape.

Language: Английский

Citations

37

Circular Economy Digital Practices for Ethical Dimensions and Policies for Digital Waste Management DOI
V. Vijaya Lakshmi,

Manoj Mishra,

Jitendra Singh Kushwah

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 166 - 193

Published: May 15, 2024

Digital technology has revolutionized our lives, but it also presents a growing challenge: digital waste. This issue involves electronic, data, and obsolete devices, causing significant environmental social consequences. To tackle this, multi-faceted approach is needed, including ethical considerations, policy interventions, technological innovations, consumer behavior change. Ethical frameworks, strengthened regulatory eco-design, producer responsibility, circular economy principles are essential. Industry best practices innovations can reduce waste, while education change initiatives encourage informed habits. Sustainable require concerted effort from all stakeholders.

Language: Английский

Citations

37

Balancing Innovation and Security in the Cloud DOI
Sampath Boopathi

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 164 - 193

Published: Feb. 2, 2024

This chapter delves into the intricate relationship between innovation and security in digital age. It highlights challenges of age transformative impact cloud computing, emphasizing its role driving innovation. The also service deployment models, discussing benefits security. discusses progress through case studies addressing organizations face. risk assessment mitigation cloud, compliance, regulatory challenges, legal ethical considerations, best practices. explores emerging technologies like AI machine learning, Zero Trust security, future directions.

Language: Английский

Citations

31

Fog Computing-Integrated ML-Based Framework and Solutions for Intelligent Systems DOI

R. Pitchai,

K. Venkatesh Guru,

Jayneel Gandhi

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 196 - 224

Published: March 18, 2024

The integration of fog computing and machine learning (ML) in digital healthcare has revolutionized patient care, operations, personalized treatment. This chapter explores the potential telemedicine, remote monitoring, It highlights its role addressing data processing challenges, enabling real-time analytics, ensuring secure transmission medical information. Key case studies demonstrate how these integrated solutions are driving innovation industry. combination ML offers a promising avenue for future healthcare, focusing on data-driven decision-making precision medicine.

Language: Английский

Citations

31

AI and ML Adaptive Smart-Grid Energy Management Systems DOI

S. Saravanan,

Richa Khare,

K. Umamaheswari

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 166 - 196

Published: June 24, 2024

The chapter explores the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping smart energy management systems (SEMS) predicts innovations by 2030. It discusses AI principles optimization, predictive analytics grids, renewable integration through AI-driven strategies. also addresses critical aspects like maintenance, consumer-centric solutions, cybersecurity challenges, ethical considerations, regulatory frameworks for responsible implementation. By examining challenges prospects, it provides insights into dynamic future driven ML advancements.

Language: Английский

Citations

27