Understanding urban heat vulnerability: Scientometric analysis of five decades of research

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102035 - 102035

Published: June 27, 2024

Urban Heat Vulnerability (UHV) has received increasing attention over the last two decades due to exacerbation of global warming and Island (UHI) effect, amid rapid urbanisation climate change. While there been a notable growth in UHV research, systematic reviews meta-analyses focusing on broader range issues research trajectories are notably absent. This study aims provide comprehensive understanding historical progression, current clusters, emerging trends by utilising scientometric method. It examines 2340 UHV-related scholarly articles published past fifty years (1970s 2020s). The major findings this analysis are: (a) is an area expected rapidly expand; (b) clustered around five interconnected key areas: planning architectural design; environment ecology; public health wellbeing; meteorology; remote sensing; (c) recent shift focus towards wellbeing perspectives studies highlights importance human-social interdisciplinary collaboration; (d) Remote sensing, particularly supported machine learning, significant technical tool research; (e) aligns with UN sustainable development goals contributes achieving urban sustainability resilience. Further advancements will require collaboration, technological innovations, targeted policies effectively address heat impacts protect vulnerable populations.

Language: Английский

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A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain–Computer Interfaces to Enhance Motor Imagery Classification

Sensors, Journal Year: 2025, Volume and Issue: 25(2), P. 443 - 443

Published: Jan. 13, 2025

Enhancing motor disability assessment and its imagery classification is a significant concern in contemporary medical practice, necessitating reliable solutions to improve patient outcomes. One promising avenue the use of brain–computer interfaces (BCIs), which establish direct communication pathway between users machines. This technology holds potential revolutionize human–machine interaction, especially for individuals diagnosed with disabilities. Despite this promise, extracting control signals from noisy brain data remains critical challenge. In paper, we introduce novel approach leveraging collaborative synergy five convolutional neural network (CNN) models accuracy tasks, are essential components BCI systems. Our method demonstrates exceptional performance, achieving an 79.44% on Competition IV 2a dataset, surpassing existing state-of-the-art techniques using multiple CNN models. advancement offers promise enhancing efficacy versatility BCIs wide range real-world applications, assistive technologies neurorehabilitation, thereby providing robust

Language: Английский

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Privacy-preserving healthcare data in IoT: a synergistic approach with deep learning and blockchain

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(4)

Published: Feb. 24, 2025

Language: Английский

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Urban Heat Risk Mapping in New York City Using GIS and Fuzzy Ahp-Based Multi-Indicator Analysis

Published: Jan. 1, 2025

Language: Английский

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Green secure land registration scheme for blockchain-enabled agriculture industry 5.0

Peer-to-Peer Networking and Applications, Journal Year: 2025, Volume and Issue: 18(3)

Published: March 24, 2025

Language: Английский

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Multiple Sustainability Criteria Mapping of Gas Station Incident Consequences and Subsequent Decision Optimisation

European Journal of Operational Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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A systematic review on security aspects of fog computing environment: Challenges, solutions and future directions

Computer Science Review, Journal Year: 2024, Volume and Issue: 54, P. 100688 - 100688

Published: Oct. 25, 2024

Language: Английский

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Multi-dimensional impact assessment for priority setting of agricultural technologies: An application of TOPSIS for the drylands of sub-Saharan Africa and South Asia

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(11), P. e0314007 - e0314007

Published: Nov. 21, 2024

The importance for multi-dimensional priority-setting of agricultural innovations is growing, given that technologies usually play multiple roles smallholder farmers. This study assesses based on their impacts in the drylands sub-Saharan Africa and South Asia. applies Technique Order Preference by Similarity to an Ideal Solution (TOPSIS) a set promising uses three outcome criteria: benefit-cost ratio, poverty reduction, nutrition security. are related important cereals grain legumes grown these regions: sorghum, pearl millet, finger millet; groundnut, cowpea, chickpea, lentil, pigeon pea, soybean. results show top individual criteria can differ from identified using combination criteria. For example, semi-arid southern Africa, technology which involves integrated pest management cowpea ranks among five reduce poverty. However, analysis involving TOPSIS shows security more region compared As such, 5 with highest impact do not involve technology; rather, they all nutritious legume currently consumed cowpea. One limitation this it did consider Asia; should be considered future studies or other MCDM techniques. Nevertheless, successfully used ex-ante assessment technologies, thus support prioritization investments targeting research development.

Language: Английский

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Advancements in axial flux permanent magnet machines utilizing coreless technology: A systematic review

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 103091 - 103091

Published: Oct. 1, 2024

Language: Английский

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Assessing of Software Security Reliability: Dimensional Security Assurance Techniques

Computers & Security, Journal Year: 2024, Volume and Issue: unknown, P. 104230 - 104230

Published: Nov. 1, 2024

Language: Английский

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