Results 301 to 310 of about 514,168 (397)

Desertification Risk: Bibliometric Analysis and Future Research Directions

open access: yesLand Degradation &Development, Volume 37, Issue 8, Page 3331-3348, 15 May 2026.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam   +5 more
wiley   +1 more source

A comprehensive UK crop yield dataset incorporating satellite, weather, and soil type information. [PDF]

open access: yesSci Data
Corcoran E   +9 more
europepmc   +1 more source

Bibliometric Analysis of Technological Innovation in Renewable Energy in the Transport and Logistics Sector

open access: yesCorporate Social Responsibility and Environmental Management, Volume 33, Issue 3, Page 3712-3724, May 2026.
ABSTRACT This study conducts a comprehensive bibliometric analysis of technological innovation in renewable energy for the transport and logistics sector from 1996 to 2024. Using the Web of Science database, we identify three main research phases and map key collaboration networks and technological trends.
Yui‐yip Lau   +4 more
wiley   +1 more source

Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies

open access: yesEngineering Reports, Volume 8, Issue 5, May 2026.
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh   +8 more
wiley   +1 more source

Precipitation nowcasting with radar data for evaluating multiple horizons using U-Net-based algorithm in Eastern Amazon. [PDF]

open access: yesPLoS One
Rocha R   +13 more
europepmc   +1 more source

Landslide susceptibility mapping using a machine learning approach and different environmental factors in the Western Ghats region (India)

open access: yesEarth Surface Processes and Landforms, Volume 51, Issue 5, May 2026.
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra   +4 more
wiley   +1 more source

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