|
|
|
|
|
Seokjoon Kwon, Jae-Hyeon Park, Hee-Deok Jang, Hyunwoo Nam and Dong Eui Chang
Deep learning algorithms are widely used for pattern recognition in electronic noses, which are sensor arrays for gas mixtures. One of the challenges of using electronic noses is sensor drift, which can degrade the accuracy of the system over time, even ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Khaled Rabieh, Rasha Samir and Marianne A. Azer
Rapid advances in technology and shifting tastes among motorists have reworked the contemporary automobile production sector. Driving is now much safer and more convenient than ever before thanks to a plethora of new technology and apps. Millions of peop...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juanli Jing, Menglin Zhai, Shiqing Dou, Lin Wang, Binghai Lou, Jichi Yan and Shixin Yuan
The accurate identification of citrus fruits is important for fruit yield estimation in complex citrus orchards. In this study, the YOLOv7-tiny-BVP network is constructed based on the YOLOv7-tiny network, with citrus fruits as the research object. This n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jier Xi and Xiufen Ye
There are many challenges in using side-scan sonar (SSS) images to detect objects. The challenge of object detection and recognition in sonar data is greater than in optical images due to the sparsity of detectable targets. The complexity of real-world u...
ver más
|
|
|
|
|
|
|
|
|
|
|
Syti sarah maesaroh, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Indonesia Agus Rahayu, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Indonesia Lili Adi Wibowo, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia Eeng Ahman, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia 10.21831/economia.v19i1.48918
Pág. 68 - 80
This study investigates how business actors' entrepreneurial orientation and rationality affect MSMEs' performance, as well as how the availability of financing affects that performance. Using a random sampling technique, we surveyed 195 MSMEs from vario...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mimoun Benali, Karima Lahboub and Abdelhamid El Bouhadi
In this study, the reliability of the Fama?French Three-Factor model (FF3F) and the Carhart Four-Factor model (C4F) is examined thoroughly. In order to determine which of the asset pricing models is the best to explain portfolio returns on the Moroccan s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Laura S. McGuire, Mohsin Zafar, Rayyan Manwar, Fady T. Charbel and Kamran Avanaki
Due to the high possibility of mechanical damage to the underlying tissues attached to the rat skull during a craniectomy, previously described methods for visualization of the rat brain in vivo are limited to unilateral craniotomies and small cranial wi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexander Hinterleitner, Richard Schulz, Lukas Hans, Aleksandr Subbotin, Nils Barthel, Noah Pütz, Martin Rosellen, Thomas Bartz-Beielstein, Christoph Geng and Phillip Priss
Cyber-Physical Systems (CPS) play an essential role in today?s production processes, leveraging Artificial Intelligence (AI) to enhance operations such as optimization, anomaly detection, and predictive maintenance. This article reviews a cognitive archi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iza Sazanita Isa, Umi Kalsom Yusof and Murizah Mohd Zain
The development of intelligence-based methods and application systems has expanded for the use of quality blastocyst selection in in vitro fertilization (IVF). Significant models on assisted reproductive technology (ART) have been discovered, including o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huansha Wang, Qinrang Liu, Ruiyang Huang and Jianpeng Zhang
Multi-modal entity alignment refers to identifying equivalent entities between two different multi-modal knowledge graphs that consist of multi-modal information such as structural triples and descriptive images. Most previous multi-modal entity alignmen...
ver más
|
|
|
|
|
|