Results 121 to 130 of about 933,433 (278)
An enhanced expanding and shift sparse array based on the coprime array and nested array
In recent years, sparse arrays based on the fourth‐order difference coarray (FODCA) have received increased research attention due to their small number of array elements and large consecutive virtual arrays.
Caihui Qin +4 more
doaj +1 more source
Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood [PDF]
We propose non-nested tests for competing conditional moment resctriction models using a method of empirical likelihood. Our tests are based on the method of conditional empirical likelihood developed by Kitamura, Tripathi and Ahn (2004) and Zhang and ...
Taisuke Otsu, Yoon-Jae Whang
core
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Nested Circular Array and Its Concentric Extension for Underdetermined Direction of Arrival Estimation [PDF]
In this paper, a new array geometry is proposed which is capable of performing underdetermined Direction-Of-Arrival (DOA) estimation for the circular array configuration.
Arai, Hiroyuki +5 more
core
In this paper, the issue of direction of arrival (DOA) estimation is discussed, and a partial angular sparse representation (SR)-based method using a sparse separate nested acoustic vector sensor (SSN-AVS) array is developed.
Jianfeng Li, Zheng Li, Xiaofei Zhang
core +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Mutual coupling severely impact Direction of Arrival (DOA) estimation, and the existence of mutual coupling can lead to significant errors in the received signal model of the array. Using algorithms to reduce it is an effective approach.
Shun He, Nan Sun, Zhiwei Yang, Le Qin
doaj +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Nested-dating approach analysis
Script (.xml) and tre files for the "Nested analyses" of all three linked datasets: Platycodoneae, C.
Marisa Alarcón (3309987) +9 more
core +1 more source

