Results 111 to 120 of about 33,873 (284)
Inorganic waste classifier using artificial intelligence
, 2021 [EN] Artificial intelligence is a field that has experienced incredible growth in recent years. However, one of the milestones that marked a before and after in this field is deep learning and the emergence of neural networks, algorithms capable of, given a set of data, extracting features and patterns from them, as well as the possibility of applying ...
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Advanced Materials, EarlyView.An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang +6 more
wiley +1 more source
Advanced Materials, EarlyView.This review highlights recent advances in electrospun nanofiber‐based triboelectric nanogenerators, emphasizing how material design, fiber architecture, and interface engineering collectively enhance output performance and mechanical durability. Key developments in porous, aligned, core‐shell, and hierarchical nanofibers are discussed alongside ...
MD Fajla Rabbi +3 more
wiley +1 more source
e-Prime: Advances in Electrical Engineering, Electronics and EnergyFood waste is a significant global problem that demands immediate action to reduce it. This study presents a novel framework that merges Internet of Things (IoT) and machine learning (ML) technologies to detect fruit ripeness and spoilage, which is ...
Rajini M, Persis Voola
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Advanced Materials, EarlyView.Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
Advanced Materials, EarlyView.Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang +5 more
wiley +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
Advanced Materials, EarlyView.“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Time Series Analysis of Solar Power Generation Based on Machine Learning for Efficient Monitoring
Engineering ReportsSolar energy, a renewable resource, is essential for the efficiency of solar photovoltaic (PV) panels. However, meteorological factors, such as solar irradiation, weather patterns, precipitation, and overall climate conditions, pose challenges to the ...
Umer Farooq +5 more
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Frontiers in SustainabilityEffective waste management is essential for smart cities, but fixed collection schedules frequently result in missed pickups, overflow events, and inefficient fuel consumption. This study introduces a framework that integrates Artificial Intelligence (AI)
R. Anitha, A. Parthiban
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Integrating Human Vision Perception in Vision Transformers for Classifying Waste Items
16 pages, 4 ...
Akshat Kishore Shrivastava +1 more
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