Artificial Intelligence in Environmental and Climate Changes

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 485 - 506

Published: Aug. 27, 2024

Artificial Intelligence plays a pivotal in resolving climate change and the environmental crisis with help of AI technologies. However, by scrubbing massive amounts information from satellites sensors, it can refine prediction allowing for better re-prioritization downstream when initiating mitigation plans. In addition, using Intelligence, also optimizes trees autonomous networks energy systems, emissions reduction carbon. But training is intensive, responsible sizable chunk greenhouse gas emissions. As evolves, essential to guide its development deployment principles sustainability responsibility. This chapter examines various aspects issues achieve sustainable goals. It significant challenges limitations intertwined incorporation degradation crises change.

Language: Английский

---

Eyes in the Sky

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 405 - 451

Published: Jan. 26, 2024

The rapid proliferation of drones across various industries necessitates a comprehensive examination the privacy and ethical implications in their cybersecurity landscape. This chapter aims to dissect address these concerns, providing valuable resource for scholars, policymakers, industry practitioners. objectives are clearly outlined, emphasizing exploration challenges considerations within context drone cybersecurity. begins by delving into associated with operations, focusing on surveillance concerns responsible collection storage sensitive data. Ethical then scrutinized, highlighting dual-use nature intricacies autonomous decision-making. A critical evaluation existing regulatory landscape governing operations frameworks is presented, shedding light effectiveness limitations.

Language: Английский

---

Russian-Ukraine armed conflict: Lessons learned on the digital ecosystem

International Journal of Critical Infrastructure Protection, Journal Year: 2023, Volume and Issue: 43, P. 100637 - 100637

Published: Oct. 12, 2023

Language: Английский

---

Reincarnation of libraries via metaverse: A pathway for a sustainable knowledge system in the digital age

Business Information Review, Journal Year: 2023, Volume and Issue: 40(4), P. 191 - 197

Published: Oct. 19, 2023

The evolution of metaverse libraries offers a transformative pathway for redefining knowledge systems in the digital age. This study delves into seamless integration enduring library principles with expansive capabilities metaverse, envisioning harmonious coexistence that preserves traditional values while propelling dissemination, inclusivity, and collaboration to new heights. Real-world case studies provide valuable insights successful implementations offer lessons future endeavors. By seamlessly merging attributes immersive experiences, can tailored learning journeys, foster global collaboration, ensure secure content distribution. However, landscape is not without challenges, such as privacy concerns, literacy gaps, imperative all which require thoughtful interdisciplinary collaboration. underscores significance preserving essence physical embracing potential metaverse. Through adept navigation these complexities, have capacity revolutionize education, nurture equitable access dynamic interconnected landscape.

Language: Английский

---

Towards a global impact-based forecasting model for tropical cyclones

Natural hazards and earth system sciences, Journal Year: 2024, Volume and Issue: 24(1), P. 309 - 329

Published: Feb. 1, 2024

Abstract. Tropical cyclones (TCs) produce strong winds and heavy rains accompanied by consecutive events such as landslides storm surges, resulting in losses of lives livelihoods, particularly regions with high socioeconomic vulnerability. To proactively mitigate the impacts TCs, humanitarian actors implement anticipatory action. In this work, we build upon an existing action for Philippines, which uses impact-based forecasting model housing damage based on eXtreme Gradient Boosting (XGBoost) to release funding trigger early We improve it three ways. First, perform a correlation selection analysis understand if Philippines-specific features can be left out or replaced from open global data sources. Secondly, transform target variable (percentage completely damaged houses) not yet grid-based 0.1∘ grid resolution de-aggregation using Google Open Buildings data. Thirdly, evaluate XGBoost regression models different combinations local at municipality spatial levels. first introduce two-stage predict is above 10 % then use trained all only high-damage All experiments 39 typhoons that impacted Philippines between 2006–2020. Due scarcity skewness training data, specific attention paid stratification, sampling, validation techniques. demonstrate employing does significantly influence performance. Despite excluding physical vulnerability surge susceptibility, improves municipality-based features. When applied action, our would show higher true-positive rate, lower false-negative improved false-positive implying fewer resources wasted conclude relying globally available sources working level holds potential render machine-learning-based impact generalizable transferable locations outside TCs. Also, increases predictions, may allow more targeted implementation However, should noted good forecast skill TC goes into it. Future research will focus replicating testing approach other TC-prone countries. Ultimately, facilitate scaling up

Language: Английский

---

GEOSatDB: global civil earth observation satellite semantic database

Big Earth Data, Journal Year: 2024, Volume and Issue: 8(3), P. 522 - 539

Published: March 27, 2024

Satellite remote sensing, characterized by extensive coverage, frequent revisits, and continuous monitoring, provides essential data support for addressing global challenges. Over the past six decades, thousands of Earth observation satellites sensors have been deployed worldwide. These valuable assets are contributed independently various nations organizations employing diverse methodologies. This poses a significant challenge in effectively discovering resources realizing their full potential. In this paper, we describe development GEOSatDB, most complete semantic database civil developed based on unified ontology model. A similarity matching method is used to integrate satellite information prompt strategy extract unstructured sensor information. The resulting contains 127,949 statements 2,340 sensing 1,021 sensors. capabilities 195 countries worldwide analyzed detail, concrete use case along with an associated query demonstration presented. value facilitating understanding sharing resources.

Language: Английский

---

Virtual geographical scene twin modeling: a combined data-driven and knowledge-driven method with bridge construction as a case study

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1), P. 1 - 23

Published: May 22, 2024

Virtual geographical scenes aim to naturally represent the real world and aid in comprehending geographic information. However, current virtual scene modeling methods have problems detecting change information low efficiency dynamic modeling. Additionally, process lacks guidance from domain experts, resulting poor standardization. Therefore, this paper proposes a combined data-driven knowledge-driven twin method. We discuss three-domain association knowledge graph, detection network based on graph deep learning, knowledge-guided semantic algorithms detail. These enhance ability of describe changing world. Furthermore, we select an urban bridge construction with obvious characteristics as typical case, develop prototype system, conduct experimental analysis. The results show that our method can fully effectively utilize data improve reusability knowledge. average accuracy reaches 92.46%, 29.97 fps. Compared other 3D methods, proposed more timely, accurately, completely, comprehensively.

Language: Английский

---

Ultimate Deep Learning Acclimatization With Artificial Intelligence Drones for Environment Shield and Climate Change

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 59 - 80

Published: Aug. 27, 2024

The biggest and fast growing challenge in this era is climate change it has been considered as a major threat that requires extraordinary remedy. AI drones solution to the crisis proposed light of fast, real-time environmental data sets could learn from inform better decisions. DL vast system made up numerous interconnected devices propagate data. smart sensors can also be used forest zones, where they will identify temperature, humidity sound patterns i.e., how many peoples are visiting area by gathering It help predictive analytics automating sustainable practices lead us greener cleaner future. This chapter systematically explores integration deep learning defining novel outlook overcome environment dilution change.

Language: Английский

---

How Far the Humanistic User Experience in Workspace Collaboration Can Foster Self-Competence and Teamwork: Indonesian Organizational View

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 601, P. 00006 - 00006

Published: Jan. 1, 2025

This study investigates the influence of Humanistic User Experience (HUX) in Information and Communication Technology (ICT) workspaces on self-competence teamwork within Indonesian organisations. Utilising a cross-sectional survey Partial Least Square Structural Equation Modeling (PLS-SEM), research analyses responses from 305 employees Greater Jakarta. The findings reveal that HUX significantly enhances self-competence, which, turn, positively impacts teamwork. Self-competence is critical mediator relationship between teamwork, highlighting role individual competencies fostering collaborative outcomes. emphasises importance integrating humanistic principles ICT design to create supportive work environments enhance employee well-being productivity. implications suggest organisations should adopt technologies prioritise user-centred features improve both Future expand these across different cultural organisational contexts validate results further.

Language: Английский

---

Digital Transformation in Logistics and Supply Chain Management Practices

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 27 - 48

Published: Feb. 25, 2025

In recent years, the rise of digital transformation in logistics and supply chain management (SCM) has become quintessential for organizations; accelerated all more with how COVID-19 induced an upheaval across global chains. The chapter discusses pandemic-induced disruptions were beyond what traditional models, largely manual processes, data silos could accommodate. need strong infrastructure is also apparent through use next-gen technologies including blockchain, AI/ML, intelligent automation. These provide real-time visibility, predictive analytics, improved coordination. This examines reasons why necessary, it affords, challenges that include legacy system trouble, issues, cybersecurity skills gaps. It finishes by offering some strategic guidelines successful implementation SCM.

Language: Английский

---