Results 31 to 40 of about 2,130 (190)
Journal of EST (Educational Science And Technology)This study aims to describe and analyze the factors influencing the Competence and Performance of BK Teachers after the Anti-Drug Soft Skills training. The census was conducted on 517 (76%) participants throughout Indonesia in 2024.
Guruh Achmad Fadiyanto, Afib Rizal
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Journal of Advances in Modeling Earth Systems, 2022 The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given the increasing use of neural networks in high stakes decision‐making such as in climate
Mariana C. A. Clare +4 more
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Mono- and Dinitro-BN-Naphthalenes: Formation and Characterization
Molecules, 2021 Mono- and dinitro-BN-naphthalenes, i.e., 1-nitro-, 3-nitro-, 1,6-dinitro-, 3,6-dinitro-, and 1,8-dinitro-BNN, were generated in the nitration of 9,10-BN-naphthalene (BNN), a boron–nitrogen (BN) bond-embedded naphthalene, with AcONO2 and NO2BF4 in ...
Mao-Xi Zhang +6 more
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Matrik, 2022 This study aimed to analyze the factors that influence employee behavior due to limited land at the BNN Rehabilitation Center, with a quantitative approach using factor analysis methods. The research sample was the staff of the BNN Rehabilitation Center,
Palupi Lindiasari Samputra +1 more
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Bayesian neural network modeling of tree-ring temperature variability record from the Western Himalayas [PDF]
Nonlinear Processes in Geophysics, 2011 A novel technique based on the Bayesian neural network (BNN) theory is developed and employed to model the temperature variation record from the Western Himalayas.
R. K. Tiwari, S. Maiti
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FPGA-Based Acceleration on Additive Manufacturing Defects Inspection
Sensors, 2021 Additive manufacturing (AM) has gained increasing attention over the past years due to its fast prototype, easier modification, and possibility for complex internal texture devices when compared to traditional manufacture processing.
Yawen Luo, Yuhua Chen
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A Survey on Impact of Transient Faults on BNN Inference Accelerators
CoRR, 2020 Over past years, the philosophy for designing the artificial intelligence algorithms has significantly shifted towards automatically extracting the composable systems from massive data volumes. This paradigm shift has been expedited by the big data booming which enables us to easily access and analyze the highly large data sets.
Navid Khoshavi, Connor Broyles, Yu Bi
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Advanced Science, EarlyView.ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li +7 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source