Results 181 to 190 of about 16,861 (313)

Efficient Harvesting of Irregular and Low‐Frequency Mechanical Energy via Hybridized Electromagnetic‐Triboelectric Systems

open access: yesSmall, EarlyView.
ABSTRACT The rapid expansion of the Internet of Things (IoT) and wearable electronics necessitates sustainable power sources to replace the limited electrochemical battery. While mechanical energy harvesting offers a promising solution, traditional harvesters face challenges of irregular and low−frequency environmental sources. This review presents the
Yongbin Han   +2 more
wiley   +1 more source

Analyses of the Deformability and Chemistry of Non‐Metallic Inclusions in QT Steels With Increased Recycling‐Induced Tramp Element Content

open access: yessteel research international, EarlyView.
This work uses high‐temperature dilatometry to examine how the tramp elements Cu, Ni, and Sn affect the deformability of non‐metallic inclusions and matrix in quench‐and‐temper steel. Mg‐bearing inclusions deform less than Mg‐free ones. Copper lowers formability. Nickel increases deformability.
Julian Cejka   +3 more
wiley   +1 more source

Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles. [PDF]

open access: yesFront Robot AI, 2021
Alam T   +5 more
europepmc   +1 more source

An Overview of High‐Temperature Superconducting Cables in DC Systems: Unlocking Potential for High‐Voltage DC Networks

open access: yesHigh Voltage, EarlyView.
ABSTRACT This paper provides an overview of high‐temperature superconducting (HTS) cables in DC systems, with a focus on their deployment in high‐voltage DC (HVDC) networks. The assessment of HTS cable properties—such as extremely low electrical resistance, high current‐carrying capacity and a compact geometry—and their comparison with those of ...
Mohammad Hossein Mousavi   +2 more
wiley   +1 more source

Deep blueprint: A literature review and guide to automated image classification for ecologists

open access: yesJournal of Animal Ecology, EarlyView.
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game   +2 more
wiley   +1 more source

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