Results 91 to 100 of about 2,490 (166)
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
INFLUENCE OF LIQUEFIED AND CCB CONTAINING LIQUEFIED WOOD ON GROWTH OF WOOD DECAY FUNGI
There are high amounts of post-consumed protected waste wood removed from service every year. The residual biocides, including copper, chromium and boron from CCB (Cu, Cr, B) in post-consumed wood that was protected with biocides may cause environmental ...
D Hrastnik +3 more
doaj
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
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
ABSTRACT Cellulose dissolution is important for various industries, including textiles, bioplastics, foods and pharmaceuticals, yet achieving efficient dissolution remains challenging. Deep eutectic solvents (DES) have emerged as promising alternatives to traditional solvents due to their low toxicity, biodegradability and sustainability.
Chigozie Charity Okwuwa +4 more
wiley +1 more source
ABSTRACT Water pollution by oil and organic substances causes serious problems that threaten the ecosystem. Superhydrophobic materials represent an effective solution for removing oil from water. The present paper investigates the development of a low‐cost, superhydrophobic composite for oil–water separation.
Zienab A. Ahmed
wiley +1 more source
ABSTRACT Greenhouse gas (GHG) emissions have emerged as one of the most critical drivers of climate change; this is primarily due to high concentrations and long atmospheric life of carbon dioxide (CO2). For a significant amount of time, various biological processes such as microalgal cultivation, cyanobacterial systems, photosynthetic microorganisms ...
Sadhana Semwal, Harish Chandra Joshi
wiley +1 more source
ABSTRACT Water is a fundamental necessity for our existence, but its rapid contamination is causing devastating effects on the environment and health of living species worldwide. Adsorptive removal of pollutants is one of the popular water treatment techniques because of its simplicity, affordability, and the broad range of available adsorbents.
Priyanka Negi +3 more
wiley +1 more source

