Results 121 to 130 of about 8,368,743 (296)
Advanced Functional Materials, EarlyView.Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source
Using rationales and influential training examples to (attempt to) explain neural predictions in NLP
, 2020 Presented via Bluejeans Events on September 9, 2020 at 12:15 p.m.Byron Wallace is an assistant professor in the Khoury College of Computer Sciences at Northeastern University.
Wallace, Byron
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Advanced Functional Materials, EarlyView.Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu +12 more
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Artificial intelligence (AI) and machine learning (ML) for beyond 5G/6G communications
EURASIP Journal on Wireless Communications and Networking, 2023 Mohammad Abdul Matin +4 more
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Self‐Assembled Hybrid Cell‐Enzyme Materials for Gas‐Powered Biocatalysis
Advanced Functional Materials, EarlyView.Integrating living cells with programmable enzyme networks enables hybrid materials that convert gaseous feedstocks into chemical reducing power. These gas‐powered catalytic beads operate as modular, recyclable platforms for adaptive biocatalysis and sustainable synthesis.
Marius Stoeckle +2 more
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Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib
Applied Computer ScienceMachine learning (ML) in big data frameworks plays a critical role in real-time analytics, decision making, and predictive modeling. Among the most prominent ML libraries for large-scale data processing are Flink-ML, the machine learning extension of ...
Messaoud MEZATI, Ines AOURIA
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Advanced Functional Materials, EarlyView.This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli +4 more
wiley +1 more source
Video-Language Critic : Transferable Reward Functions for Language-Conditioned Robotics [PDF]
Publisher Copyright: © 2025, Transactions on Machine Learning Research.Natural language is often the easiest and most convenient modality for humans to specify tasks for robots.
Woungang, Isaac +6 more
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Perspective of artificial intelligence (AI) and machine learning (ML) in fisheries science [PDF]
Majallah-i ̒Ilmī-i Shīlāt-i ĪrānIntroduction The integration of artificial intelligence and emerging technologies into fisheries science has fundamentally transformed marine resource management approaches (Bradley et al., 2019; Ebrahimi et al., 2021).
Azin Ahmadi, Ali Haghi Vayghan
doaj
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Advanced Functional Materials, EarlyView.Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
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