Results 41 to 50 of about 18,023,330 (304)

Combination of Scanning Strategies and Optimization Experiments for Laser Beam Powder Bed Fusion of Ti-6Al-4V Titanium Alloys

Applied Sciences, 2022
This paper studies the effects of different combinations of scanning strategies between layers on the surface quality, tensile properties, and microstructure of samples in a laser beam powder bed fusion (L-PBF) formation experiment of Ti-6Al-4V titanium ...
Wentian Shi, Jihang Li, Yanlong Jing, Yude Liu, Yuxiang Lin, Yufan Han   +5 more
doaj   +1 more source

The Knowledge of Business Intelligence [PDF]

Proceedings of the ITI 2012 34th International Conference on INFORMATION TECHNOLOGY INTERFACES, 2012
Summary form only given. Charge pumping (CP) is a well-known technique for electrical characterization of semiconductor-insulator interface traps. It has been proposed more than four decades ago and applies primarily to MOSFETs as it requires the switching of the device between inversion and accumulation. Until now, it has therefore been mainly used to
openaire   +1 more source

Lipidomic Profile Reconstruction of Therapeutic Membrane Targets Using Physics‐Based Optimization with Limited Activity Data

Advanced Science, EarlyView.
Using a minimal set of experimentally labeled antimicrobial and non‐antimicrobial peptides, we reconstruct the effective lipid composition of a pathogenic membrane ‐demonstrated at the example of bacterial membranes‐ through a physics‐based evolutionary molecular dynamics (Evo‐MD) approach. Optimization based on peptide insertion reveals broad‐spectrum
Maximilian Krebs, Herre Jelger Risselada
wiley   +1 more source

A Cooperative Hunting Method for Multi-USV Based on the A* Algorithm in an Environment with Obstacles

Sensors, 2023
A single unmanned surface combatant (USV) has poor mission execution capability, so the cooperation of multiple unmanned surface ships is widely used. Cooperative hunting is an important aspect of multi USV collaborative research.
Zhihao Chen, Zhiyao Zhao, Jiping Xu, Xiaoyi Wang, Yang Lu, Jiabin Yu   +5 more
doaj   +1 more source

Symptom‐Driven Prediction of Chronic Multimorbidity with a Macro–Micro Heterogeneous Graph Neural Network

Advanced Science, EarlyView.
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye, Miaoru Han, Siqiao Tang, Zongxiang Zhang, Haichen Shen, Bingzhen Sun, Yan Zhang, Xiaodong Chu, Lijuan Deng, Chaoyang Zheng, Qingchun Huang, Kun Bao, Ronghua Zhang, Yong Wang, Fengwei Zhang, Xiaoli Chu   +15 more
wiley   +1 more source

Business Intelligence and Nosocomial Infection Decision Making [PDF]

, 2014
Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries.
Azevedo, Ana, Santos, Manuel Filipe
core   +2 more sources

Nonstationary Time Series Prediction Based on Deep Echo State Network Tuned by Bayesian Optimization

Mathematics, 2023
The predictions from time series data can help us sense development trends and make scientific decisions in advance. The commonly used forecasting methods with backpropagation consume a lot of computational resources. The deep echo state network (DeepESN)
Yu-Ting Bai, Wei Jia, Xue-Bo Jin, Ting-Li Su, Jian-Lei Kong, Zhi-Gang Shi   +5 more
doaj   +1 more source

Pre‐Refinement Prediction of Dopant Site Occupancy in M‐Type Hexaferrites via Hierarchical and Uncertainty‐Aware Machine‐Learning

Advanced Science, EarlyView.
Refined data are extracted from CIF files to construct a hierarchical machine‐learning framework integrating sublattice classification, Fe‐site occupancy prediction, and reliability assessment. External validation yields 96% accuracy for sublattice classification and a macro mean absolute error of 0.0584 for Fe‐site prediction.
Dan Liu, Jianyu Ren, Ruoshui Liu, Yinong Yin, Jianfeng Xi, Xin Ming, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Baogen Shen   +9 more
wiley   +1 more source

Pengukuran Tingkat Kematangan Pengembangan Business Intelligence Teknologi Informasi dan Komunikasi (TIK) pada Perguruan Tinggi

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2017
In the era of globalization, the role of Information and Communication Technology (ICT) is the main asset in winning the global competition. Currently the role of ICT in education is enormous.
Ardhin Primadewi, Uky Yudatama, Setiya Nugroho   +2 more
doaj   +3 more sources

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source