Machine Leaning (ML) on Digital Consumer Transforming Choice Recommendation Model DOI
Bhupinder Singh, Anjali Raghav, Kittisak Jermsittiparsert

и другие.

Practice, progress, and proficiency in sustainability, Год журнала: 2024, Номер unknown, С. 185 - 214

Опубликована: Ноя. 1, 2024

The rapid evolution of Machine leaning (ML) has ushered in a transformative era the digital consumer landscape. This research paper delves into intricate interplay between AI and consumers, focusing specifically on profound influence reshaping recommendation models and, consequently, molding shopping decisions. chapter unveils comprehensive understanding consumers subsequent transformation models. impact decisions is not merely technological but extends realms psychology, trust, personalization. As businesses grapple with imperative to adapt, insights from this provide roadmap for navigating evolving landscape AI-driven interactions.

Язык: Английский

Unleashing the Ethical and Legal Implications of E-Business Revolution DOI
Bhupinder Singh,

Anita Singh,

Christian Kaunert

и другие.

Advances in e-business research series, Год журнала: 2024, Номер unknown, С. 157 - 180

Опубликована: Сен. 20, 2024

Digital transformation typically requires gathering and handling extensive amounts of data. E-commerce offers immense opportunities for businesses to access global markets make purchases from anywhere. It can enhance business processes, much like phones, faxes, mobile communications have in the past. However, any new tool, e-commerce comes with its own set issues risks. Understanding ethical legal aspects is crucial creating a safe secure trading environment both customers businesses. To ensure long-term success e-business, there been calls robust enabling framework, particularly legislative. Stakeholders are seeking more stable conducting routine consumer transactions. This chapter focuses on privacy security concerns phase digital disruption concerning implications e-business revolution.

Язык: Английский

Процитировано

14

Machine Learning in Reducing E-Waste DOI

Kavya Chandel,

Soufiane Ouariach,

Saquib Ahmed

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 105 - 126

Опубликована: Фев. 27, 2025

E-waste is a waste which gathered from various sources, Household sector considered as biggest source of generation e-waste. consists components characterized hazardous and non-hazardous also contain approximately 1000 substances categorized in this category. comprising ferrous non-ferrous metals ceramics other items. When e-waste gets dismantled continuously processed it jeopardizes the health environment, surroundings. composition bio accumulative toxic containing like chromium, mercury, (Arora et al., 2024). Machine learning plays very important role regulating In context to urban segments, week by calculated through building prescient model, creating gradient boosting regression tree (GBRT) neutral network machine calculations. By incorporating learning, calculations will provide exact accurateness algorithm. A convolutional neural was created bifurcate into different countries. These categories are follows: cell phone, remote controller, battery, light bulb.

Язык: Английский

Процитировано

0

Uplifting Digital Technologies for Preventive Dentistry DOI
Bhupinder Singh, Christian Kaunert

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 239 - 266

Опубликована: Март 28, 2025

The regular preventive dental care is crucial for maintaining overall health and quality of life, as it helps in managing conditions like diabetes heart disease. However, rural communities often face significant challenges accessing adequate oral healthcare, thus missing out on these benefits. There are several factors that contribute to the issues prevalent areas such access care, literacy, water fluoridation, tobacco use. Digital technology offers innovative solutions bridge this gap, improving enhancing efficiency, empowering both patients healthcare providers. This chapter comprehensively explores various aspects increase patient outcomes, decrease inequalities, improve treatment by utilizing tele-dentistry, mobile units, digital technologies, electronic records.

Язык: Английский

Процитировано

0

Unfolding Artificial Intelligence (AI) in Green Hydrogen Production DOI
Bhupinder Singh, Saurabh Chandra

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 427 - 444

Опубликована: Март 28, 2025

Artificial intelligence (AI) is increasingly being integrated with green hydrogen production, so as to enable a seamless transition from conventionally suffocating energy sources. Water electrolysis, using renewable energies such solar and wind power source, the key technology of considerable advantages towards decarbonizing energy-intensive industries promoting global sustainability. Innovative application AI changing way operates for efficiency scalability by improving production processes saving in electrolysis making it cost effective. The benefits not only efficiency, but also serves further cause climate action weaning society off fossil fuels. And this clever, foresighted investment clears path cleaner future which adds one more out many possible ways that world can reach its sustainability goals move carbon-neutral energy.

Язык: Английский

Процитировано

0

Unfolding Artificial Intelligence (AI) in Green Hydrogen Production DOI
Bhupinder Singh, Saurabh Chandra

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 409 - 426

Опубликована: Март 28, 2025

Artificial intelligence (AI) is increasingly being integrated with green hydrogen production, so as to enable a seamless transition from conventionally suffocating energy sources. Water electrolysis, using renewable energies such solar and wind power source, the key technology of considerable advantages towards decarbonizing energy-intensive industries promoting global sustainability. Innovative application AI changing way operates for efficiency scalability by improving production processes saving in electrolysis making it cost effective. The benefits not only efficiency, but also serves further cause climate action weaning society off fossil fuels. And this clever, foresighted investment clears path cleaner future which adds one more out many possible ways that world can reach its sustainability goals move carbon-neutral energy.

Язык: Английский

Процитировано

0

Driving the Future With Autonomous Transportation and Smart Vehicles DOI
Bhupinder Singh, Christian Kaunert, Anjali Raghav

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 247 - 274

Опубликована: Окт. 25, 2024

Autonomous driving is extremely promising with the potential to improve safety, lessen traffic alter urban mobility and environmental effect of transportation, The field transportation quickly changing due autonomous which offers safer, more effective environmentally friendly options. Artificial intelligence machine learning play a crucial role in setting smart cities, where connected infrastructure data-driven technology are pervasive. vehicles use as their foundation traverse intricate areas. These organized information representations incorporate data from variety sources, such conditions, real-time updates road networks. decision-making by cars made possible this extensive collection. This chapter explores how essential for enabling safe settings cities.

Язык: Английский

Процитировано

1

Photovoltaic PV Glass Technologies for Smart Buildings and Urban Sustainability Society 5.0 DOI
Bhupinder Singh, Christian Kaunert, Kittisak Jermsittiparsert

и другие.

Practice, progress, and proficiency in sustainability, Год журнала: 2024, Номер unknown, С. 475 - 502

Опубликована: Окт. 11, 2024

“PV Glass generates free and clean electricity thanks to the sun, turning buildings into vertical power generators”. The Sustainable energy infrastructure refers development implementation of systems that minimize negative environmental impacts, reduce greenhouse gas emissions, promote long-term ecological balance. goal sustainable is transition from traditional, non-renewable sources such as- fossil fuels renewable like- solar, wind, hydro, geothermal, biomass. Photovoltaic (PV) PV glass a cutting-edge technology seamlessly merges solar generation with architectural design. This specialized contains embedded photovoltaic cells harness convert it electricity. As advances costs continue decrease, expected become mainstream solution, playing crucial role in our greener more future.

Язык: Английский

Процитировано

0

Photovoltaic (PV) Glass for Smart City and Sustainability DOI
Bhupinder Singh, Christian Kaunert

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 227 - 252

Опубликована: Окт. 16, 2024

Pioneering photovoltaic (PV) glass is reshaping the landscape of smart cities by integrating solar energy unobtrusively into everyday services, revolutionizing how it can meet some its own power needs in an economically and environmentally sustainable way. The applications are numerous, from turning windows facades to harvesting installations transforming building surfaces devices that reduce production fossil fuels or carbon footprint. Solar farm used panel this also helps disparate effects conventional sources contribute air pollutants greenhouse gas emissions, promoting cleaner with better quality exhaled people. This chapter focuses on addition PV a part movement adopt renewable around world, which improves sustainability reduces waste natural resources.

Язык: Английский

Процитировано

0

Sustainable Health System Through Corporate Social Responsibility Towards Promoting Health Equity Inferring SDG 3 DOI
Bhupinder Singh, Christian Kaunert, Anjali Raghav

и другие.

Advances in human resources management and organizational development book series, Год журнала: 2024, Номер unknown, С. 1 - 24

Опубликована: Окт. 23, 2024

The significant technique used extensively for determining whether plans, strategies and proposals are likely to have a good or negative effect on health equity is the impact assessment (HIA). It facilitates cooperation with individuals organizations that guarantee ownership of action contribute perspectives. In reality, though, HIA frequently conducted after decisions already been made, many its predicted effects only marginally resolved. Effective community participation can enhance outcomes implications other objectives including education, housing, employment. uses knowledge following five steps screening, scoping, evaluation, suggestions reporting, review, reflection identify potential impacts, their sort scale, populations could potentially be impacted. This chapter focuses facilitate interested parties who offer insights.

Язык: Английский

Процитировано

0

Medical Procedures for PTSD Treatment DOI
Bhupinder Singh, Kittisak Jermsittiparsert

Advances in human and social aspects of technology book series, Год журнала: 2024, Номер unknown, С. 523 - 544

Опубликована: Окт. 18, 2024

Post-Traumatic Stress Disorder (PTSD) is a debilitating mental health problem that can occur following an overwhelming experience, or series of events. The disorder comes with symptoms include flashbacks, nightmares and fear so severe it cripple people's lives. This disease affects sizeable fraction the population globally, estimates indicating 7 to 8% individuals will experience PTSD in their lifetime. Among military veterans, survivors violent crime who have lived through natural disasters brutal accidents, incidence alarmingly high. effects [PTSD] go beyond individual societal economic levels. chapter comprehensively explores diverse aspects on Medical Procedures for Treatment Healthcare Wellness via Augmented Virtual Reality Modules.

Язык: Английский

Процитировано

0