Results 51 to 60 of about 56,489 (266)
Engineering and Applied Science Research, 2018 This research aims to use asimple statistical method asa forecasting model with a small dataset. Absolute difference methods, average absolute difference and minimum absolute difference, were used to adjust the dataset, i.e., the SET Index ...
Watcharin Klongdee, Mathee Pongkitwitoon
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Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
Advanced Science, EarlyView.FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
Applied Sciences, 2020 This paper presents a MATLAB-based tutorial to conduct fault diagnosis of a rolling element bearing. While there have been so many new developments in this field, no studies have addressed the tutorial aspects in this field to help the engineers learn ...
Seokgoo Kim, Dawn An, Joo-Ho Choi
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A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Polish Maritime Research, 2018 Radars and sensors are essential devices for an Unmanned Surface Vehicle (USV) to detect obstacles. Their precision has improved significantly in recent years with relatively accurate capability to locate obstacles. However, small detection errors in the
Song Lifei +4 more
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IEEE Access, 2023 This work proposes a transformer-based model capable of generating music in its symbolic domain, in a controllable fashion. The ultimate goal of this is to build a system with which people can compose music collaboratively with a computer.
Naomi Imasato +3 more
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Advanced Science, EarlyView.A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo +18 more
wiley +1 more source
Order estimation for autoregressive models using criteria based on stochastic complexity
Kuwait Journal of ScienceIn this paper, we are interested in the order estimation of an autoregressive model using the information criterion developed by El Matouat and Hallin (1996), which is based on stochastic complexity.
Hamzaoui H., Moussa F.D., El Matouat A.
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Advanced Science, EarlyView.The study establishes an immune‐cure (ICu) mouse model based on a TMEMed G422TN‐GBM system that faithfully recapitulates human TMEMed GBM. scRNA‐seq analysis reveals a Csmd3+ microglial subset with innate immune memory (IIM) potential that potently suppresses GBM growth, drives a TME cold‐to‐hot transition, and induces 100% ICu in long‐term survival ...
Hai‐Feng Jiang +12 more
wiley +1 more source
EnergiesPower system stability (PSS) refers to the capacity of an electrical system to maintain a consistent equilibrium between the generation and consumption of electric power. In this paper, the PSS is evaluated for a “hybrid power plant” (HPP) which combines
Théodore Desiré Tchokomani Moukam +3 more
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