Results 141 to 150 of about 22,594 (260)
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley +1 more source
Sub‐optimal Internet of Thing devices deployment using branch and bound method
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
Fine‐tuning ab initio XANES spectra calculations using the Bayesian optimization algorithm
A Bayesian optimization technique is used to tune the FEFF and FDMNES packages and to improve matching between theoretical and experimental spectra. The tests were performed on monometallic Ni, Fe and Pd K‐edge XANES spectra using several different spectrum similarity metrics.Theoretical modeling of X‐ray absorption near‐edge structure (XANES) spectra ...
Andrey A. Sapronov +2 more
wiley +1 more source
Learnable attention driven structured compression technique for neural networks. [PDF]
Iqbal R, Silva R.
europepmc +1 more source
Artifact segmentation using the U‐Net architecture for powder X‐ray diffraction images
The capabilities of a U‐Net convolutional neural network for masking artifacts in time‐resolved X‐ray diffraction measurements of battery materials are demonstrated.Modern synchrotron X‐ray facilities generate X‐ray diffraction (XRD) image data at rates that far exceed the capacity of manual analysis, yet critical processing steps such as artifact ...
Albert Vong +9 more
wiley +1 more source
Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices. [PDF]
Inoue H, Komura T, Hashimoto I.
europepmc +1 more source
Contemporary artificial intelligence (AI) technologies are often presumed to be capable of revealing unmediated truths about the world, including the truths language might hold, echoing the long‐standing assertion that language's primary function is to directly translate reality.
Beth M. Semel
wiley +1 more source
DGrA: Lightweight Modulation Recognition Based on Hybrid Neural Networks. [PDF]
Chen X, Gao R, Xu D, Zhu H.
europepmc +1 more source
Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model
This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li +7 more
wiley +1 more source
This study integrates genomics and landscape genetics to analyze African goat environmental adaptation. Analyzing 1591 samples, it finds population structure differentiates geographically into four groups, with gene flow between wild Yura goats and North Africans.
Weifeng Peng +19 more
wiley +1 more source

