Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 5994 - 5994

Published: July 9, 2024

The maritime industry, responsible for moving approximately 90% of the world’s goods, significantly contributes to environmental pollution, accounting around 2.5% global greenhouse gas emissions. This review explores integration artificial intelligence (AI) in promoting sustainability within sector, focusing on shipping and port operations. By addressing emissions, optimizing energy use, enhancing operational efficiency, AI offers transformative potential reducing industry’s impact. highlights application fuel optimization, predictive maintenance, route planning, smart management, alongside its role autonomous logistics management. Case studies from Maersk Line Port Rotterdam illustrate successful implementations, demonstrating significant improvements emission reduction, monitoring. Despite challenges such as high implementation costs, data privacy concerns, regulatory complexities, prospects industry are promising. Continued advancements technologies, supported by collaborative efforts public–private partnerships, can drive substantial progress towards a more sustainable efficient industry.

Language: Английский

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AI Based Prediction Algorithms for Enhancing the Waste Management System: A Comparative Analysis

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 552, P. 01052 - 01052

Published: Jan. 1, 2024

Waste management has become an increasingly pressing issue due to urbanization, population growth, and economic development. According World Bank projections, waste production will reach 3.4 billion tonnes by 2050. The paper is focused on detailed analysis of techniques that be improved resources maximized, able deal with various types waste, including agricultural industrial municipal solid (MSW), electronic (e-waste). advancement in the artificial intelligence fields drawn attention towards utilizing its benefits achieving optimized different wastes also. description on-recyclable materials which can transformed into energy using waste-to-energy (WTE) technologies. generated sectors are being studied details their quantity challenges handling wastes. literature highlights performance methodologies terms efficiency, impacts ecological implications. prediction models was discussed respect R 2 value mean absolute error (MAE) root square (RMSE) find most suitable algorithm. conclusion suggested these AI based optimization methods bring about enhancement conversion process making more sustainable reliable.

Language: Английский

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Enhancing Hazardous Waste Management Through the “SIPENGOLAH LIMBAH B3” Innovation

International Journal of Public Administration in the Digital Age, Journal Year: 2025, Volume and Issue: 12(1), P. 1 - 19

Published: Feb. 7, 2025

Effective management of hazardous and toxic waste (B3) is crucial for environmental sustainability public health protection. This study examines the implementation “SIPENGOLAH LIMBAH B3” innovation by Environmental Forestry Service South Sulawesi Province, Indonesia. Utilizing George C. Edwards III's policy model Everett M. Rogers' Diffusion Innovations theory as analytical frameworks, research evaluates how this technological has enhanced practices, improved service efficiency, increased transparency, contributed to sustainability. Data were collected through interviews with key stakeholders involved in program's implementation, including departmental heads staff members. The findings indicate that program successfully reduced processing times from up 72 hours approximately 18 minutes, digitized administrative processes, minimized errors recording.

Language: Английский

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Assessing the Role of Urban Governance in Promoting Sustainable Cities and Communities: Evidence from Four City Corporations in Bangladesh

International Journal of Community Well-Being, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Language: Английский

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Assessing the effect of environmental attitudes on waste material flow quality through agent-based modelling of citizen source separation behaviour

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 384, P. 125553 - 125553

Published: May 3, 2025

Language: Английский

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Deep learning-based image processing framework for efficient surface litter detection in Computer Vision applications

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101534 - 101534

Published: May 5, 2025

Language: Английский

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Artificial Intelligence‐Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Journal Year: 2025, Volume and Issue: 15(2)

Published: May 19, 2025

ABSTRACT Artificial intelligence (AI) is emerging as a transforming force in waste management practices, enabling new ways of bringing efficiency and effectiveness. This survey presents methods related to management, which are categorized systematically for understanding the effectiveness various AI‐based techniques. The study undertakes critical review relevant research works that epitomize major advances methodologies AI‐driven management. manuscript provides an exhaustive taxonomy, dividing AI into Supervised Learning, Unsupervised Reinforcement then subdividing Learning four broad categories: Machine Learning‐based Classification, CNNs, Transfer Hybrid or Ensemble Learning. We further evaluate different datasets applied performance benchmarking efficacy models. also discuss some issues, such problem available data quality, poor generalization models, integration systems. Future directions, would go long way toward helping surmount these challenges, discussed. aims present structured framework current applications therefore guiding ongoing future field.

Language: Английский

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AI Hub: Idea to Innovative Service - An AI Service Hub for the Citizens of Bangladesh to Accelerate the Implementation of Smart Bangladesh

International Journal of Scientific Research and Management (IJSRM), Journal Year: 2024, Volume and Issue: 12(05), P. 1217 - 1233

Published: May 31, 2024

In the contemporary digital era, integration of Artificial Intelligence (AI) has become imperative for nations striving towards comprehensive development. Bangladesh, with its ambitious vision achieving a Smart stands at forefront leveraging AI technologies to enhance governance, improve public services, and foster economic growth. Recognizing pivotal role in this journey, concept an Service Hub emerges as transformative initiative empower citizens expedite realization technologically advanced society. The serves ecosystem encompassing three key components: Repository, Capacity Building, Collaborative Platform. Repository acts centralized repository models, algorithms, applications tailored address specific challenges opportunities prevalent Bangladesh. It is continually updated state-of-the-art innovations, ensuring accessibility government agencies, businesses, academia, civil society organizations. Building programs offered by aim upskill reskill individuals across diverse domains. Through workshops, training sessions, online resources, are equipped requisite knowledge skills leverage effectively their respective fields. Platform provided space stakeholders converge, exchange ideas, co-create AI-driven solutions. By fostering interdisciplinary collaboration sharing, platform catalyzes innovation accelerates implementation initiatives sectors. successful hinges on multi-pronged strategy policy support, technological infrastructure, stakeholder engagement. Policy support from crucial providing regulatory frameworks conducive proliferation technologies. Technological including cloud computing resources high-speed internet connectivity, ensures seamless access tools services. Stakeholder engagement, facilitated through collaborative partnerships, fosters collective problem-solving. holds immense potential catalyze socio-economic development democratizing collaboration, hub characterized efficient sustainable development, enhanced quality life all citizens. Bangladesh 2041 aims transform into developed nation robust inclusive growth, high An Hub, designed service platform, can significantly contribute transformation accelerating initiatives. This paper explores impact, strategic citizen drive innovation,

Language: Английский

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A Comprehensive Analysis of Knowledge Sharing, Training, Communication, and Attitudes for Effective Medical Waste Management among Healthcare Providers in Bangladesh

Published: May 29, 2024

Medical waste management is crucial issues for keeping our life safe and safety. Without effective measures management, we cannot keep ourselves from different types of contagious diseases; viruses, bacteria. Knowledge sharing assists healthcare staff in identifying mitigating hazards on appropriate handling, segregation disposal medical waste. The aim the study to identify a multifaceted analysis knowledge sharing, training, communication attitudes management. This selected 153 workers randomly, including nurses, lab technologists, cleaners, hospitals, diagnostic centers, clinics northern part Bangladesh. design this research mixed-methods. adopts survey interview as strategy. samples are collected randomly. SPSS software packages, MS Excel Office, PLS-SEM used analyze data. Most respondents always share their face-to-face according findings. result also shows that there positive relationship between sources (p: 0.046), awareness 0.049), 0.025) However, no relationships collaboration 0.943), practice 0.155), supervision monitoring 0.527), training education 0.656) Its focus Bangladesh introduces regional specificity, potentially limiting applicability results other regions. knowledge-sharing practices among examined within research, along with attitude, awareness, knowledge, monitoring, practice, have not been studied before home abroad. highlights critical need an integrated approach emphasizing importance continuous education, open communication, cultivating culture prioritizes environmental sustainability. insights offer practical recommendations institutions improve practices, ultimately leading enhanced health outcomes better protection.

Language: Английский

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Technological Advancements in Waste Management

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 327 - 342

Published: Aug. 2, 2024

In response to the issue of growing garbage, researchers, foundations, and businesses worldwide developed concepts created new technology slow down process. Waste comes from a variety sources, including municipal solid waste (such as plastics, paper, cardboard, food waste, textiles) industrial garbage ashes, hazardous wastes, materials used in building demolition). Modern management methods often take sociological factors into account addition technological ones. The internet social media platforms have allowed scientists reach much wider audience promoting ecological consciousness awareness. This chapter discusses modern approaches that evolved recently how has been affected by them. explores obstacles potential paths within framework circular economy. Certain sustainable development objectives can be met application techniques.

Language: Английский

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