Results 141 to 150 of about 5,885,991 (322)
Comparing supervised and unsupervised category learning [PDF]
Bradley C. Love
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Recent advancements in quantum computing have positioned it as a prospective solution for tackling intricate computational challenges, with supervised learning emerging as a promising domain for its application. Despite this potential, the field of quantum machine learning is still in its early stages, and there persists a level of skepticism regarding
openaire +2 more sources
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu+5 more
wiley +1 more source
In today’s fast-paced world of software development, it is essential to ensure that programs run smoothly without any issues. When dealing with complex applications, the objective is to predict and resolve problems before they escalate. The prediction of
Ayesha Siddika+4 more
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Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque+5 more
wiley +1 more source
Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang+6 more
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Contrastive Self-Supervised Learning for Sensor-Based Human Activity Recognition: A Review
Deep learning models have achieved significant success in human activity recognition, particularly in assisted living and telemonitoring. However, training these models requires substantial amounts of labeled training data, which is time-consuming and ...
Hui Chen+6 more
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Fuzzy LAPART supervised learning through inferencing for stable category recognition [PDF]
Guangpu Han+2 more
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Electromagnetic interference (EMI) shields consisting of polylactic acid (PLA) in layers with different concentrations of multiwalled carbon nanotubes (MWCNT) are produced using additive manufacturing. The permittivity function of layers with different filler concentrations is learned using data of homogeneous and randomly ordered shields.
Stijn De Smedt+5 more
wiley +1 more source
A dual‐gradient centrifugal microfluidic platform enables ultrafast, high‐throughput screening of nanomaterials in 90 reaction chambers. Through siphon‐based aliquoting and automated gradient generation, the system achieves combinatorial synthesis of silver nanoparticles with diverse morphologies.
Hiep Van Nguyen+2 more
wiley +1 more source