Results 211 to 220 of about 1,930,496 (336)
The two-stage location model for multi-construction period of material warehouses. [PDF]
Zhang W, Jin Y.
europepmc +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Augmented Reality Physical Ergonomics (ARPE) Training for Manual Material Handling Workers: A Protocol for a Quasi-experimental Study. [PDF]
Norman FZ +3 more
europepmc +1 more source
Digital Agriculture: Past, Present, and Future
Digital agriculture integrates Internet of Things, artificial intelligence, and blockchain to enhance efficiency and sustainability in farming. This review outlines its evolution, current applications, and future directions, highlighting both technological advances and key challenges for global implementation.
Xiaoding Wang +3 more
wiley +1 more source
A cross-chain model for warehouse receipts in port supply chain based on notary mechanism and ShangMi cryptographic algorithms. [PDF]
Chen Y +5 more
europepmc +1 more source
Design and analysis of quality information for data warehouses. [PDF]
Jarke, M., Jeusfeld, M.A., Quix, C.
core +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
A High-quality chromosome-level genome assembly of Swertia przewalskii Pissjauk. [PDF]
Shuang H +8 more
europepmc +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source

