Co-Living With Augmented Digital Beings-Navigating the Intersection of AI and Everyday Life DOI
Muhammad Usman Tariq

Advances in wireless technologies and telecommunication book series, Journal Year: 2025, Volume and Issue: unknown, P. 187 - 206

Published: April 4, 2025

This chapter investigates how enhanced digital beings are changing contemporary society. These entities people interact with one another work environments and personal experiences thanks to technologies like augmented reality (AR) virtual (VR) artificial intelligence (AI). offers a thorough introduction the evolution significance of emphasizing these fit into daily life they could improve sectors healthcare education entertainment what ethical social ramifications their widespread use might have. The also explores difficulties that present including issues privacy obstacles regulations possible decline in human-to-human interaction.

Language: Английский

AI-Powered Breakthroughs DOI
Muhammad Usman Tariq

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 65 - 92

Published: Jan. 3, 2025

This chapter examines how artificial intelligence (AI) is improving neuropsychological practice and AI tools can be used to diagnose treat rehabilitate cognitive disorders. Through a critical analysis of recent research developing patterns the emphasizes AIs potential for neuropsychology real-time interventions personalized care early detection. It explores has advanced create like virtual assistants chatbots machine learning algorithms that have greatly enhanced testing treatment. in neurorehabilitation shows encouraging results precision effectiveness treatment regimens particularly patients with brain injuries or decline. The also effects on training education focus preparing next generation neuropsychologists settings by AI.

Language: Английский

Citations

6

Navigating the Convergence of IoMT and Generative AI in Global Healthcare DOI
Muhammad Usman Tariq

Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 513 - 534

Published: Jan. 17, 2025

This chapter examines the transformative potential of combining Generative AI with Internet Medical Things (IoMT) in healthcare. IoMT's capacity to empower ceaseless wellbeing observing and ongoing information assortment, joined man-made intelligence's high-level prescient logical power, guarantees huge progressions diagnostics, patient administration, customized medication. The focuses on case studies that demonstrate improved healthcare delivery outcomes as it novel applications these technologies. Be may, additionally addresses basic difficulties like security, moral situations, including insurance, algorithmic predisposition, independence. Systems for beating hindrances, particularly asset compelled settings, are talked about, accentuating requirement hearty structures administrative approaches.

Language: Английский

Citations

1

AI in Green Chemistry Sustainable Manufacturing Processes DOI

P. Selvakumar,

Chelliah Preethi,

P. Nehru

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 297 - 318

Published: Jan. 24, 2025

Artificial intelligence (AI) is receiving more and attention as Industry 4.0 progresses because of its ability to solve particularly challenging challenges in chemical engineering industrial chemistry. Consequently, this study offers a summary how artificial techniques—specifically, machine learning—have been applied recent years design, synthesis, process optimisation. We conclude by talking about the difficulties prospects for AI production chemicals. Through promotion sustainable development, has potential revolutionise way world deals with threat posed climate change humankind. There no going back sustainability. Chemistry will be essential helping economy reach net-zero emissions companies shift from using fossil fuels renewable energy sources. has, fact, always at forefront development new or improved materials meet society expectations produce commodities proper physical properties.

Language: Английский

Citations

0

Multidimensional and Revolutionary Relevance of AI in Agriculture DOI
Neha Gupta

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 145 - 174

Published: Jan. 24, 2025

The incorporation of Artificial Intelligence (AI) into agriculture has triggered a paradigm shift, transforming traditional farming practices and paving the way for unparalleled efficiency, sustainability productivity. Precision is at vanguard this technological transformation, with AI-driven algorithms analyzing massive datasets containing soil parameters, weather patterns, crop health metrics to deliver actionable insights. Farmers may precisely monitor manage their crops in real time by deploying drones, satellites, IoT sensors, thereby maximizing resource allocation reducing environmental impact. In addition, AI-powered forecast analytics machine learning models enable farmers yield potential, anticipate outbreaks diseases pests, optimize planting schedules unprecedented precision. This chapter digs AI's diverse transformational real-world applications agriculture, highlighting its critical role tackling current difficulties creating new opportunities.

Language: Английский

Citations

0

AI-Driven Wildfire Prediction and Response in Portugal DOI

Pedro Pinheiro Gomes,

Tiago Cardoso

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 115 - 144

Published: Jan. 24, 2025

Wildfires increasingly threaten Portugal's ecosystem and population, with climate change intensifying fire seasons. AI has emerged as a powerful tool for predicting responding to wildfires, offering improved accuracy speed over traditional methods. This paper examines AI's role in wildfire management Portugal, focusing on machine learning, image recognition, real-time data analytics, IoT integration. It addresses potential enhance emergency responses, reduce environmental damage, optimize firefighting resources. Case studies, including the Bee2FireDetection system sensor networks, highlight impact, concluding strategic recommendations future AI-driven mitigation Portugal.

Language: Английский

Citations

0

Access and Citizenship for Those With Disabilities DOI
Alan Bruce, Lee Ann Williams

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 31 - 78

Published: Feb. 12, 2025

This chapter explores the transformative potential of digital technologies and artificial intelligence (AI) in bridging gap between learner needs innovative inclusion for individuals with disabilities. provides a comprehensive analysis how such advancements contribute to access citizenship by examining socio-historical contexts, current practices, future implications. Neither disability nor advanced exist vacuum. Powerful historical, social, economic forces have shaped development both. In understanding inter-relationship, it is critical engage range associated issues. Over past two centuries, has been at forefront technological innovation adaptation. Digital emancipation that empower disabilities providing new opportunities learning, communication, participation. tools platforms offer unprecedented levels accessibility flexibility.

Language: Английский

Citations

0

AI-Driven Research Methodologies DOI
Muhammad Usman Tariq

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 97 - 122

Published: Feb. 21, 2025

This chapter examines how artificial intelligence (AI) is changing engineering and physical science researchers do their work. It demonstrates (AI)-driven technologies—like machine learning deep predictive analytics—are transforming conventional approaches by making it possible to process analyse enormous datasets at previously unheard-of speeds precision. In fields where sophisticated simulations data patterns have produced ground-breaking discoveries such as materials renewable energy aerospace manufacturing the explores integration of AI in these fields. also discusses can stimulate interdisciplinary collaboration increase power improve research efficiency. The covers obstacles requirement for transparent algorithms ethical issues biases. usefulness developments demonstrated through case studies effective applications scientific research.

Language: Английский

Citations

0

Exploring Dimensions of Artificial Intelligence in Criminal Investigations and Technological Aspects DOI
S. Mishra, Hind Hammouch, Manmeet Kaur Arora

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 162

Published: Feb. 28, 2025

Everything in today's world is related to artificial intelligence. Criminals are becoming advanced and accessing intelligence, causing crime. Hence, there a strict need of intelligence crime investigation, too, because traditional ways can't find criminal who technology fulfill his desires. Numerous technical instruments support law enforcement effectively apprehending offenders. Drones offer surveillance scene views from the air. Surveillance body-worn cameras both record evidence improve accountability. Metal detectors assist locating hidden weapons, predictive analysis foresees stops activity. Forensic investigations aided with lie detectors, DNA, fingerprints. Although AI has shown promise advancing justice number situations, administration's lack know-how prevents reaching its full potential.

Language: Английский

Citations

0

Revolutionizing Crime Investigation DOI
Nav Singh, Mohammad Imran Khan,

Baljeet Kaur

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 281 - 300

Published: Feb. 28, 2025

As law enforcement agencies face increasingly intricate criminal cases, the incorporation of deep learning presents remarkable capabilities in data analysis, pattern recognition, and predictive modeling. This chapter commences by delineating core principles its unique benefits compared to traditional forensic methods, particularly proficiency efficiently processing extensive datasets. The discourse further explores various applications within science, such as digital forensics, biometric identification, crime scene reconstruction. By utilizing convolutional neural networks (CNNs) other sophisticated algorithms, investigators can improve image automate classification evidence, enhance reliability eyewitness identifications. Additionally, examines challenges linked adoption these technologies, including concerns regarding privacy algorithmic bias.

Language: Английский

Citations

0

Innovative Business Models DOI
Muhammad Usman Tariq

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 174

Published: Feb. 28, 2025

In order to promote sustainable development this chapter integrates social economic and environmental goals while examining creative business models in rural manufacturing. It looks at how inclusive practices, community-driven strategies, technology developments are being used by entrepreneurs build businesses that solve the particular problems communities face. These companies foster resilience producing beneficial effects emphasizing shared ownership models, supply chains local resource utilization. The also explores significance of funding sources financial such as impact investments microfinance designed specifically for areas facilitate expansion businesses.

Language: Английский

Citations

0