Cutting-Edge Innovations DOI
Sanjeev Kumar,

Mohammad Badruddoza Talukder,

Shweta Dewangan

et al.

Advances in e-business research series, Journal Year: 2024, Volume and Issue: unknown, P. 29 - 50

Published: Nov. 22, 2024

The integration of digital technology and AI is still transforming, as the research development new solutions in different fields. chapter examines latest generation technologies: computer vision, natural language, processing prediction analysis. These are improving analysis, enhancing result prediction, automatically critiquing literature. Hence, several enhancements being implemented through transformation projects such instant collection data profound management observed cloud computing for big platforms Intelligent IoT laboratories. Consistent improvement has been noted regarding drugs clinical, predictive maintenance optimization processes by desirable case study derived from industrial pharmaceutical dimensions. Thus, it only possible to achieve full potential these technologies with assistance resolution existing problems, including protection data, ethical issues & scarcity personnel.

Language: Английский

Classification of maize leaf diseases with deep learning: Performance evaluation of the proposed model and use of explicable artificial intelligence DOI
Feyyaz Alpsalaz, Yıldırım ÖZÜPAK, Emrah Aslan

et al.

Chemometrics and Intelligent Laboratory Systems, Journal Year: 2025, Volume and Issue: 262, P. 105412 - 105412

Published: April 23, 2025

Language: Английский

Citations

0

The Role of Circular Economy in Mitigating Climate Change DOI
Khem Chand,

Subah Ratra

Advances in finance, accounting, and economics book series, Journal Year: 2024, Volume and Issue: unknown, P. 329 - 352

Published: Nov. 29, 2024

The intersection of circular economy (CE) and climate change mitigation is becoming increasingly vital as global economies seek pathways to decarbonize achieve sustainable development. This chapter critically examines how CE principles—reduce, reuse, recycle—directly contribute reducing greenhouse gas (GHG) emissions curbing resource extraction, thereby alleviating environmental degradation. Through detailed analysis key sectors such manufacturing, energy, waste management, the underscores can lead a paradigm shift in combating change. It further explores role digitalization, innovative business models, regulatory frameworks facilitating this transition, while identifying challenges scaling strategies globally. concludes with actionable recommendations for policymakers, businesses, researchers leverage tool resilience.

Language: Английский

Citations

1

Behavioural Economics and the Rise of Sustainable Investments DOI
Pawan Pant, Kaushal Kishore Mishra

Advances in e-business research series, Journal Year: 2024, Volume and Issue: unknown, P. 329 - 360

Published: Nov. 22, 2024

This shift in financial decision-making, influenced by behavioural economics and sustainable investment, is a significant crucial development. Understanding how cognitive biases, social preferences, psychological factors impact investor behaviour the context of ESG investments utmost importance. understanding can explain why often deviate from sustainability. We gain insights into these deviations analyzing present bias, loss aversion, herd behaviour. The chapter delves types nudges, such as framing effects default options, that guide decisions towards uses global local case studies, India's emergence green bonds ethical funds, to illustrate not only explains but also drives trend responsible investing. It concludes offering policymakers, institutions, corporations leverage promote long-term investments.

Language: Английский

Citations

0

Cutting-Edge Innovations DOI
Sanjeev Kumar,

Mohammad Badruddoza Talukder,

Shweta Dewangan

et al.

Advances in e-business research series, Journal Year: 2024, Volume and Issue: unknown, P. 29 - 50

Published: Nov. 22, 2024

The integration of digital technology and AI is still transforming, as the research development new solutions in different fields. chapter examines latest generation technologies: computer vision, natural language, processing prediction analysis. These are improving analysis, enhancing result prediction, automatically critiquing literature. Hence, several enhancements being implemented through transformation projects such instant collection data profound management observed cloud computing for big platforms Intelligent IoT laboratories. Consistent improvement has been noted regarding drugs clinical, predictive maintenance optimization processes by desirable case study derived from industrial pharmaceutical dimensions. Thus, it only possible to achieve full potential these technologies with assistance resolution existing problems, including protection data, ethical issues & scarcity personnel.

Language: Английский

Citations

0