Results 181 to 190 of about 1,148,359 (296)

Camels as a Climate‐Resilient Linchpin for Sustainable Development in Global Drylands

open access: yesSustainable Development, EarlyView.
ABSTRACT Camels represent a significant, yet underutilized, asset for advancing integrated sustainable development in the world's expanding drylands. Previous reviews have examined camels' physiology, milk composition, or pastoral systems in isolation; this review examines their potential as a climate‐resilient linchpin for food systems by synthesizing
Ayana Angassa   +2 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Position Transmission Control in Tendon–Sheath Mechanisms: A Critical Review and a Promising Solution

open access: yesSmartBot, EarlyView.
Tendon‐sheath mechanisms are widely used in various robotic systems for remote position transmission, including aerospace vehicles, flexible rescue robots, dexterous robotic hands, exoskeleton robots, soft wearable devices, industrial robots, and flexible surgical robots.
Jiaqi Li, Qian Gao
wiley   +1 more source

Decreasing the Environmental Impact of the Electric Steelmaking Route Through Advanced Modelling Techniques

open access: yessteel research international, EarlyView.
Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla   +7 more
wiley   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

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