Results 231 to 240 of about 3,717,380 (305)

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad   +5 more
wiley   +1 more source

Autonomous Charging and Battery Swapping for Unmanned Aerial Vehicles: A Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review evaluates major autonomous charging and battery swapping methods for unmanned aerial vehicles (UAVs) against a single question: how close each is to sustained unattended operation. Rather than ranking them by charging performance, it identifies the limitation that most restricts each method, and briefly outlines the supporting technologies ...
Zelin Wu   +5 more
wiley   +1 more source

Correction: Informing policy with health labour market analysis to improve availability of family doctors in Tajikistan. [PDF]

open access: yesHum Resour Health
Abdullozoda J   +12 more
europepmc   +1 more source

Artificial Intelligence for Benign Esophageal Stricture Dilation: An Evidence‐Transferability Framework and Safety‐First Roadmap

open access: yesAI &Innovation, EarlyView.
ABSTRACT Background Endoscopic dilation is first‐line therapy for symptomatic benign esophageal strictures but remains operator‐dependent. Artificial intelligence (AI) could support assessment, risk stratification, and documentation; however, evidence from adjacent tasks is often mistaken for procedure‐specific validation.
Ahmed A. Salman, Mohamed A. Salman
wiley   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman   +1 more
wiley   +1 more source

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