Digital Transformation Across Generations DOI
Shalom Akhai, Mahapara Abbass,

Preeti Kaur

et al.

Advances in human and social aspects of technology book series, Journal Year: 2024, Volume and Issue: unknown, P. 23 - 40

Published: Nov. 29, 2024

The integration of robotics and artificial intelligence (AI) is transforming industries, enhancing efficiency, safety, productivity. This chapter explores the impact autonomous systems across various sectors, including manufacturing, healthcare, transportation, agriculture. convergence AI enables adaptive to perform complex tasks independently, driving innovation reshaping business operations. Machine learning, computer vision, sensor fusion empower robots learn from data, recognize patterns, interact with humans. Successful applications include self-driving cars, robotic-assisted surgery, precision farming, smart home devices. However, challenges persist, such as reliability, ethics, data privacy, complexity implementation. As continue evolve, they will drive sustainable practices, optimize resource use, encourage interdisciplinary collaboration. Future research should focus on developing robust algorithms, safety protocols, establishing ethical guidelines.

Language: Английский

E-Waste and Lithium-ion Battery Recycling Insights for Sustainable Transportation DOI
Alex Khang, Shalom Akhai

Lecture notes in intelligent transportation and infrastructure, Journal Year: 2025, Volume and Issue: unknown, P. 203 - 230

Published: Jan. 1, 2025

Language: Английский

Citations

1

Use of Smart Materials in Physiotherapy DOI
Rajni Verma, Shalom Akhai, Amandeep Singh Wadhwa

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 300 - 319

Published: May 28, 2024

This chapter explores the use of smart materials in physiotherapy, highlighting their potential to revolutionize patient care and rehabilitation practices. It discusses various types materials, such as shape memory alloys, electroactive polymers, piezoelectric magnetorheological thermoresponsive unique properties applications. The also assistive devices, wearable technology, rehabilitation, pain management, tissue healing. advantages include personalization, real-time monitoring capabilities, non-invasive nature. However, challenges cost, integration with existing healthcare systems, durability concerns need be addressed. concludes by exploring future advancements integrating them other technologies like AI, robotics, nanotechnology. Ethical considerations acceptance are emphasized ensure responsible patient-centric adoption.

Language: Английский

Citations

6

AI and Smart Manufacturing DOI

Kamaljeet Motia,

Raj Kumar, Shalom Akhai

et al.

Advances in business strategy and competitive advantage book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: Aug. 26, 2024

This chapter explores the impact of Industry 4.0 on various sectors, focusing smart manufacturing, supply chain optimization, and artificial intelligence. It highlights potential intelligent technologies, automated processes, data analytics to enhance production efficiency, product quality, financial savings. The also discusses role blockchain, predictive analytics, IoT in improving management. Real-time visibility, end-to-end traceability, accurate demand projections are essential for a responsive adaptable chain. Artificial intelligence, including machine learning, natural language processing, computer vision, can improve operational productivity, innovation. provides real-world examples technology offers an optimistic outlook its transformational beneficial possibilities. challenges possibilities, using actual thorough review academic literature.

Language: Английский

Citations

5

Disaster Risk Reduction and Management With Emerging Technologies DOI
Mahapara Abbass, Shalom Akhai, Arti Chouksey

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 71 - 110

Published: April 17, 2025

This chapter explores the role of emerging technologies in disaster risk reduction and management (DRRM), focusing on integration Internet Things (IoT), Artificial Intelligence (AI), Data Analytics to enhance urban resilience. IoT-enabled sensors smart infrastructure provide real-time data for early warning systems, monitoring, emergency response. AI-driven predictive analytics enhances assessment, resource allocation, post-disaster recovery, while enables integration, visualization, scenario planning. Despite their potential, challenges like quality, scalability, cybersecurity, ethical concerns must be addressed. The future Disaster Risk Reduction Management (DRRM) will depend incorporation modern technology, increased public involvement, global cooperation, allowing cities develop more intelligent, secure, sustainable settings.

Language: Английский

Citations

0

Digital Health Technologies for Preventive Cardiology DOI
Shaveta Mala, Upasna Deep,

Ekta Mala

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 379 - 400

Published: Oct. 18, 2024

This chapter explores the potential of digital health technologies in preventive cardiology, including telemedicine, wearables, sensors, artificial intelligence, and mobile platforms. These have shown effectiveness reducing cardiovascular risk factors improving patient outcomes. However, barriers to widespread adoption include literacy gaps, limited internet access, data privacy concerns, technical complexities. To overcome these, this proposes strategies like national e-Health guidelines, stakeholder engagement, improved regulatory standards, human-centered design principles, integration with existing healthcare systems, technology infrastructure investments, fair pricing models. Addressing security, accessibility, ethical considerations is crucial for a future personalized, proactive, accessible care. The concludes by highlighting challenges cardiology.

Language: Английский

Citations

2

AI and Machine Learning Applications in Sustainable Smart Cities DOI
Mahapara Abbass,

Uzma Abbas,

Rana Jafri

et al.

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 32

Published: Nov. 15, 2024

Harnessing the power of artificial intelligence (AI) and machine learning (ML), this chapter delves into pivotal role these technologies play in crafting sustainable smart cities. As urbanization surges, AI offers solutions for optimizing energy consumption, enhancing transportation systems, revolutionizing waste management. By analyzing data from sensors devices, empowers city planners residents to make informed decisions, leading significant reductions usage greenhouse gas emissions. Additionally, AI-driven optimization improves traffic flow, reduces congestion, promotes efficient collection, thus fostering more environmentally friendly urban environments. Ultimately, ML hold potential transform landscape development, paving way efficient, resilient, eco-conscious cities future generations.

Language: Английский

Citations

2

Advances in Bandgap and Conductivity Engineering of Graphene-Based Semiconductors DOI
Shalom Akhai,

Jagdeep Walia,

Bhupinder Singh Bhullar

et al.

Advances in chemical and materials engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 211 - 228

Published: Aug. 16, 2024

Graphene, a single layer of carbon atoms, is known for its exceptional electrical, optical, and mechanical properties. However, lack natural bandgap conductivity control issues limit use in semiconductor applications. This review explores advancements engineering management graphene-based semiconductors, including chemical functionalization, structural modifications, hybrid materials integration. Strategies manipulating graphene's conductivity, such as doping, defect engineering, external field modulation, are also discussed. These innovations crucial developing high-performance electronic optoelectronic devices, paving the way eco-friendly technologies.

Language: Английский

Citations

0

Evaluation of the Digital Marketing Technologies Using the Logarithm Methodology of Additive Weights in Fuzzy Environments DOI

Sourour Aouadni,

Ismahene Aouadni

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 32

Published: Oct. 25, 2024

Customers' buying habits and the marketing tactics businesses employ, including digital marketing, have changed because of new way living migration many customers into virtual world. In this study, authors are interested in evaluating technologies (DMT) using fuzzy logarithm methodology additive weights (FLMAW). This study's primary contribution is LMAW model that it suggests for planners decision-makers to use when choosing DMT. Additionally, a real case Saudi food company conducted demonstrate viability suggested strategy. The FLMAW outcomes were contrasted with those FTOPSIS FCOPRAS techniques illustrate effectiveness which had been proven. sensitivity method was compared second stage rank reversal problem. Lastly, approach yields reliable results.

Language: Английский

Citations

0

Air Conditioning for Healthier Living DOI
Shalom Akhai

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 135 - 154

Published: Nov. 22, 2024

The chapter explores the role of air conditioning technology in promoting healthier living environments amid climate change. It discusses impact change on indoor quality (IAQ) and its implications for human health. suggests a multifaceted approach, including ventilation, source control, purification, moisture regulation. also proposes adaptation strategies, such as advanced systems early warning systems. highlights risks associated with traditional cooling methods, particularly vulnerable populations. Technological advancements like HEPA filters solar-powered are suggested improving IAQ while minimizing environmental impact. Green construction techniques, photocatalytic oxidation, green roofs/walls discussed. acknowledges challenges data privacy integration complexity but emphasizes convergence technology, adaptation, sustainable design environments.

Language: Английский

Citations

0

AI-Enabled Sustainable Urban Planning and Management DOI
Mahapara Abbass, Shalom Akhai,

Uzma Abbas

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 233 - 260

Published: Nov. 22, 2024

This chapter explores the transformative potential of Artificial Intelligence (AI) in sustainable urban planning. As cities grapple with rapid urbanization and climate change, AI offers innovative solutions through data analytics, predictive modeling, optimization. Successful AI-enabled planning projects demonstrate importance data-driven decision-making, community engagement, interdisciplinary collaboration, scalability. The examines applications traffic management, energy efficiency, waste design, engagement. Ethical considerations, including privacy, algorithmic bias, digital divide, are discussed, emphasizing need for responsible development inclusive provides insights into how AI-enhanced can promote sustainability, resilience, social equity. Key considerations adoption, such as decision-making highlighted.

Language: Английский

Citations

0