Energy storage using computer vision: control and optimization of energy storage DOI
Harpreet Kaur Channi, Pulkit Kumar, Ramandeep Sandhu

и другие.

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 223 - 239

Опубликована: Окт. 1, 2024

Язык: Английский

AI-Driven Strategies for Customer Engagement, Market Segmentation, and Resource Optimization DOI
Bhupinder Singh, Christian Kaunert

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 104 - 128

Опубликована: Июль 26, 2024

With the development of AI, several sectors have undergone radical change thanks to availability advanced tools for data analysis and decision-making. Artificial intelligence has unparalleled prospects augmenting efficacy efficiency in domains client interaction, market classification, resource allocation. AI-driven chatbots improve customer service by answering questions, handling tasks, offering round-the-clock assistance. These are equipped with natural language processing (NLP) comprehend react inquiries. It looks at how tactics might boost consumer satisfaction, streamline corporate processes, allocate resources more effectively. Businesses may tailor marketing campaigns, handle effectively, obtain a better understanding behavior utilizing machine learning algorithms, processing, analytics. This chapter examines artificial (AI) is revolutionizing segmentation, management interaction.

Язык: Английский

Процитировано

12

Scrutinizing Consumer Sentiment on Social Media and Data-Driven Decisions for Business Insights DOI
Bhupinder Singh, Christian Kaunert, Rishabha Malviya

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 183 - 210

Опубликована: Авг. 28, 2024

AI tools have the capability to analyze emotions conveyed in substantial text inputs such as customer reviews or feedback. These algorithms categorize sentiment positive, neutral negative which offering valuable insights into customers' sentiments. The manual analysis of extensive data is both impractical and time-consuming. Business Intelligence, a fundamental aspect analytics, encompasses gathering, presentation business information facilitate strategic decision-making. Traditionally, Intelligence played crucial role organizing visualizing historical data, past performances. Artificial driven by advanced machine learning, surpasses constraints traditional unlocking ability predict future trends, behaviors outcomes. This chapter comprehensively explores diverse arena BI for fostering sustainable growth via analyzing consumer sentiments on social websites.

Язык: Английский

Процитировано

11

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

11

Artificial Intelligence, Machine Learning, and Smart Technologies for Nondestructive Evaluation DOI
Hossein Taheri,

A. Beni

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Transforming Smart City and Smart Sustainable Tourism Projecting Artificial Intelligence and IoT DOI
Bhupinder Singh, Christian Kaunert

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 55 - 80

Опубликована: Авг. 16, 2024

The swift progress of technology has led to the emergence notions smart cities and tourism, which are expected significantly transform both urban living travel experiences. Modern is used by maximize services, increase sustainability, improve quality life for their citizens. A subset this more comprehensive strategy called “smart tourism” focuses on using these technologies travelers' experiences make travels frictionless, educational, pleasurable. Cities that effectively utilize have potential not just standard its citizens but also offer tourists unique sustainable These ideas will surely be crucial in determining how future tourist destinations shaped as they develop further. This chapter explores mutually beneficial link between tourism cities, emphasizing advantages, difficulties, developments.

Язык: Английский

Процитировано

4

Redefining Intellectual Property DOI
Bhupinder Singh, Christian Kaunert, Manmeet Kaur Arora

и другие.

Advances in finance, accounting, and economics book series, Год журнала: 2025, Номер unknown, С. 183 - 204

Опубликована: Янв. 14, 2025

Intellectual property rights (IPRs) are the key elements to promote innovation, creativity, and economic growth. This allows creators inventors gain fruits of their labour invention, as IPRs may be enforceable by law. in turn helps drive investment individuals organizations into further research development that then creates new products, services, technology. And even maintain fair competition blocking unauthorized use or distribution product which end protects speaker from copycat theft it gives full compensation for efforts people behind products ideas. chapter examines evolving impact artificial intelligence (AI) on intellectual (IP) laws jurisprudence. It explores challenges opportunities posed AI relation copyright, patent, trademark law discusses implications future legal frameworks.

Язык: Английский

Процитировано

0

Perspectives of Additive Manufacturing in 5.0 Industry DOI Open Access
Dariusz Sala, M. Richert

Materials, Год журнала: 2025, Номер 18(2), С. 429 - 429

Опубликована: Янв. 17, 2025

Additive manufacturing is a technology that creates objects by adding successive layers of material. The 3D method an alternative to subtractive production, in which production involves removing material from the initial solid. printing requires design manufactured object using computer design, for example, one following programs: CAD, 3DCrafter, Wings 3D, Cinema 3, Blender, 3ds Max, Autodesk Inventor, and others. It also possible scan existing be technology. An important element Industry 5.0 technology, due its favorable environmental orientation flexibility. Three-dimensional uses recycled materials such as powders. Therefore, it can part circular economy, contributing protection. not only complements technologies enabling rapid prototyping but plays fundamental role sectors dentistry medicine. This article consists seven chapters relating various aspects context assumptions challenges 5.0. examines impact recycling potential illustrates economic integration this within industries, discusses future development prospects.

Язык: Английский

Процитировано

0

Performance Analysis of Deep Learning Models in Detection and Counting of Bees for Hive Monitoring DOI

James Alfred Baluran,

Dan Lloyd Lomongo,

Ivant Fred Ondoy

и другие.

Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 55 - 74

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

A Combined Approach for Determining Tool Cutting Part States Using Machine Learning Models DOI

Oleksandr Derevianchenko,

Олександр Фомін, Natalya Volkova

и другие.

Lecture notes in mechanical engineering, Год журнала: 2025, Номер unknown, С. 154 - 165

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Systematic Generation and Evaluation of Synthetic Production Data for Industry 5.0 Optimization DOI Creative Commons
Solomiya Liaskovska,

Sviatoslav Tyskyi,

Yevgen Martyn

и другие.

Technologies, Год журнала: 2025, Номер 13(2), С. 84 - 84

Опубликована: Фев. 18, 2025

Our research focused on analyzing and advancing information technologies to identify ecological parameters in production. The primary goals were enhance efficiency, reduce waste, minimize the environmental impact of manufacturing processes. By incorporating results study, we observed systematized changes occurring transition from Industry 4.0 5.0. Special attention was given studying processes related generation synthetic data implementation cutting-edge technologies. object includes new introduced within framework 5.0, encompassing automation cognitive scientific interests also extended used modeling various production processes, including optimizing device performance forecasting abnormal situations industrial equipment operations. subject involves algorithms for generating methods validating them ensure their statistical similarity real-world data. During analyzed artificial intelligence improving efficiency adaptability systems.

Язык: Английский

Процитировано

0