Environmental impacts of coal mining and mitigation measures: a review

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(5)

Опубликована: Апрель 12, 2025

Язык: Английский

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Using artificial intelligence in education applications

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 77 - 84

Опубликована: Янв. 1, 2024

Язык: Английский

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Enhancing security of Internet of Robotic Things: A review of recent trends, practices, and recommendations with encryption and blockchain techniques

Internet of Things, Год журнала: 2024, Номер 28, С. 101357 - 101357

Опубликована: Сен. 3, 2024

The Internet of Robotic Things (IoRT) integrates robots and autonomous devices, transforming industries such as manufacturing, healthcare, transportation. However, security vulnerabilities in IoRT systems pose significant challenges to data privacy system integrity. To address these issues, encryption is essential for protecting sensitive transmitted between devices. By converting into ciphertext, ensures confidentiality integrity, reducing the risk unauthorized access breaches. Blockchain technology also enhances by offering decentralized, tamper-proof storage solutions. comprehensive insights, practical recommendations, future directions, this paper aims contribute advancement knowledge practice securing interconnected robotic systems, thereby ensuring integrity exchanged within ecosystems. Through a thorough examination requisites, scopes, current implementations IoRT, provides valuable insights researchers, engineers, policymakers involved efforts. integrating blockchain technologies stakeholders can foster secure dependable environment, effectively manage risks, bolster user confidence, expedite widespread adoption across diverse sectors. findings study underscore critical role enhancement highlight potential avenues further exploration innovation. Furthermore, suggests research areas, threat intelligence analytics, design, multi-factor authentication, AI detection. These recommendations support ongoing innovation evolving landscape.

Язык: Английский

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Research on the Innovative Application of Artificial Intelligence Visual Perception Technology in Urban Planning from the Perspective of Deep Learning

Learning and analytics in intelligent systems, Год журнала: 2025, Номер unknown, С. 78 - 87

Опубликована: Янв. 1, 2025

Язык: Английский

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Digital twin-based virtual factory and cyber-physical production systems, collaborative autonomous robotic and networked manufacturing technologies, and enterprise and business intelligence algorithms for industrial metaverse business intelligence algorithms for industrial metaverse

Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2025, Номер 20(1), С. 389 - 425

Опубликована: Март 30, 2025

Research background: Cognitive computing and robotic technologies, enterprise digital twin system modeling, sensory perception algorithms optimize industrial big data exchange production collaboration, floor management, smart device 3D simulation visualization in the Industry 5.0 metaverse virtual shop environments. Enterprise business operations, multi-granularity cognitive computing, fusion integrate augmented reality collaborative cyber-physical systems, artificial intelligence-enabled edge Internet of Everything devices mobile Cloud-based Things networks, immersive realistic scene construction process management systems articulate engineering intelligence-driven physics simulation, Things-based manufacturing highly product representations spaces with regard to data-driven decisions. Purpose article: We show that spatial scanning autonomous factory are pivotal value, knowledge accumulation synthetic simulated simulation-based processes experiences can be attained through multi-modal information fusion, intelligence generation, multiple Immersive, multisensory, extended automation, machine learning task allocation optimization computer-generated Methods: analyzed synthesized common operations for first 60 companies on ensun (AI-based supplier sourcing tool’s) website terms key takeaway, working industry, type company, specialized areas, identified three main topics. Findings & value added: The added derived from our research is remote fault diagnosis multiphysics predictive maintenance tools assist monitoring manufacturing, processing tasks factories. Collaborative necessitate decentralized federated learning, twins environments, generating economic value. twin-based forecasting real-time collision detection harnessed automation processes, intelligent upgrading, sustainable creation across factories distributed

Язык: Английский

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How emotions sound. A literature review of music as an emotional tool in tourism marketing

Tourism Management Perspectives, Год журнала: 2023, Номер 48, С. 101154 - 101154

Опубликована: Июль 14, 2023

Tourism marketing scholars have recently focused on the experiential development of services. As a sensory tool, music has not been exhaustively approached from multidimensional perspective. The goal this paper is to understand role and audio in emotional reaction studies tourism by integrating summarizing academic contributions during last 50 years (1970–2021). Qualitative Systematic Literature Review Bibliometric Analysis are used show historical overview tendencies, relevance, relations, methodological developments. There an increasing interest scope that relates emotions, with exponential growth 10 years. Retailing, branding environmental most common research areas application, SOR causal models theoretical trends. This approach offers significant insights as it combines bases proceeding complementary marketing, such psychology or psychophysiology.

Язык: Английский

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Predicting types of human-related maritime accidents with explanations using selective ensemble learning and SHAP method

Heliyon, Год журнала: 2024, Номер 10(9), С. e30046 - e30046

Опубликована: Апрель 26, 2024

Maritime accidents frequently lead to severe property damage and casualties, an accurate reliable risk prediction model is necessary help maritime stakeholders assess the current situation. Therefore, present study proposes a hybrid methodology develop explainable for accident types. Based on advantages of selective ensemble learning method, this pioneers introduce two-stage selection aiming enhance predictive accuracy stability model. Then, SHAP (Shapley Additive Explanations) method integrated identify effective mapping associations seafarers' unsafe acts their factors with results. The results demonstrate that developed achieves good performance 87.50% F1-score 84.98%, which benefits in assessing type advance, so as make proactive intervention measures.

Язык: Английский

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Digital Transformation in Education

Advances in educational marketing, administration, and leadership book series, Год журнала: 2024, Номер unknown, С. 133 - 149

Опубликована: Авг. 2, 2024

In the education sector, digital transformation plays a crucial role for purpose of ensuring high-quality as well equal opportunities all learners. this respect, remote learning makes process seamless by allowing individuals to receive education. The present study in context attempts define how Covid-19 has digitalized sector. associated challenges have been mentioned report. From chapter, it is identified that since flexible nature; hence, undeniably sector focusing more on such new approaches. Considering experience students and teachers also ascertained though was challenging initially, however, considering benefits, its scope increasing now.

Язык: Английский

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Realizing smart scanning transmission electron microscopy using high performance computing

Review of Scientific Instruments, Год журнала: 2024, Номер 95(10)

Опубликована: Окт. 1, 2024

Scanning Transmission Electron Microscopy (STEM) coupled with Energy Loss Spectroscopy (EELS) presents a powerful platform for detailed material characterization via rich imaging and spectroscopic data. Modern electron microscopes can access multiple length scales sampling rates far beyond human perception reaction time. Recent advancements in machine learning (ML) offer promising avenue to enhance these capabilities by integrating ML algorithms into the STEM-EELS framework, fostering an environment of active learning. This work enables seamless integration STEM High-Performance Computing (HPC) systems. is facilitated our developed server software, written Python, which acts as wrapper over DigitalMicrograph (version 3.5) hardware modules enable remote computer interactions. We present several implemented workflows that exemplify this integration. These include sophisticated techniques such object finding deep kernel Through developments, we demonstrate how fusion HPC enhances efficiency scope all available globally having Gatan, Inc. image filter installed on them. The codes are GitHub.

Язык: Английский

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Harnessing AI for Automated Decision-Making in Farm Machinery and Operations

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 249 - 282

Опубликована: Ноя. 29, 2024

Automated technology has transformed agriculture by improving processes from tillage to supply chain management. This chapter provides an in-depth exploration of automated decision-making (ADM) applications within the agricultural sector, including tillage, planting, irrigation, crop selection, fertilization, pest management, harvesting, storage, and It begins discussing concepts how they enhance efficiency, productivity, sustainability in farming practices. Real-world examples case studies demonstrate successful ADM implementations, showing it is applied its results. also discusses challenges future directions adopting agriculture, such as scalability, data privacy, regulatory frameworks, insights for stakeholders. The aims assist farmers, agronomists, policymakers, industry professionals utilizing innovation, enhancing processes, tackling global food security modern agriculture.

Язык: Английский

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