Expertini Research Research

Browse Research Papers

86,135+ open-access research outputs.

✕ Clear
🔍 dave moore 📄 Peer-Reviewed
Showing 86135 results for "dave moore" · Peer-Reviewed
Multidisciplinary & Other Peer-Reviewed PDF DOI

Estimating the Bot Population on Twitter via Random Walk Based Sampling

Mei Fukuda, Kazuki Nakajima, Kazuyuki Shudo · 2022

The rise of social bots, which contribute to marketing, political intervention, and the spread of fake news, has been noted. Analysis methods for the characteristics of Twitter bots have been develope…

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control

Maryam Yalsavar, Paknoosh Karimaghaee, Akbar Sheikh-Akbari, Mohammad-Hassan Khooban, Jamshid Dehmeshki, Salah Al-Majeed · 2022

Support Vector Machine (SVM) is a supervised machine learning algorithm, which is used for robust and accurate classification. Despite its advantages, its classification speed deteriorates due to its …

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

Rapid Quality Evaluation of Camellia Oleifera Seed Kernel Using a Developed Portable NIR With Optimal Wavelength Selection

Amorndej Puttipipatkajorn, Amornrit Puttipipatkajorn · 2022

Moisture content is one of the factors measured to evaluate the quality of Camellia oleifera seeds. High quality C. oleifera seeds used for trading must have a low moisture content, specifically not…

Read Paper →
Computer Science Peer-Reviewed PDF DOI

Configurable Mixed-Radix Number Theoretic Transform Architecture for Lattice-Based Cryptography

Phap Duong-Ngoc, Hanho Lee · 2022

Lattice-based cryptography continues to dominate in the second-round finalists of the National Institute of Standards and Technology post-quantum cryptography standardization process. Computational ef…

Read Paper →
Engineering Peer-Reviewed PDF DOI

Permanent Magnet Vernier Machines for Direct-Drive Offshore Wind Power: Benefits and Challenges

Dileep Kumar Kana Padinharu, Guang-Jin Li, Zi-Qiang Zhu, Richard Clark, Arwyn Thomas, Ziad Azar, Alexander Duke · 2022

Permanent magnet Vernier (PM-V) machines, at low power levels (few kWs), have shown a great potential to improve the torque density of existing direct-drive PM machines without much compromising on ef…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Using HW/SW Codesign for Deep Neural Network Hardware Accelerator Targeting Low-Resources Embedded Processors

Erez Manor, Shlomo Greenberg · 2022

The usage of RISC-based embedded processors, aimed at low cost and low power, is becoming an increasingly popular ecosystem for both hardware and software development. High performance yet low power e…

Read Paper →
Medicine & Health Peer-Reviewed PDF DOI

The Effect of Fake Reviews on e-Commerce During and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection

Hina Tufail, M. Usman Ashraf, Khalid Alsubhi, Hani Moaiteq Aljahdali · 2022

The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautionary measures lead to a global increase in online shopping. The increasing significance of online shoppi…

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

RESHAPE: Reverse-Edited Synthetic Hypotheses for Automatic Post-Editing

Wonkee Lee, Baikjin Jung, Jaehun Shin, Jong-Hyeok Lee · 2022

Synthetic training data has been extensively used to train Automatic Post-Editing (APE) models in many recent studies because the quantity of human-created data has been considered insufficient. Howev…

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

Systematic Transistor Sizing of a CNFET-Based Ternary Inverter for High Performance and Noise Margin Enlargement

Mehdi Takbiri, Keivan Navi, Reza Faghih Mirzaee · 2022

Noise and variation are the two major challenges for the reliability of digital circuits, especially multiple-valued logic (MVL) circuits where the entire voltage range is divided into some narrow zon…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Neural Network Approach to Program Synthesis for Tabular Transformation by Example

Yoshifumi Ujibashi, Atsuhiro Takasu · 2022

Data transformation is a laborious and time-consuming task for analysts. Programming by example (PBE) is a technique that can simplify this difficult task for data analysts by automatically generating…

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

Exploiting Integrated Demand Response for Operating Reserve Provision Considering Rebound Effects

Xiaoming Zhou, Maosheng Sang, Minglei Bao, Sheng Wang, Wenqi Cui, Chengjin Ye, Yi Ding · 2022

Electricity-driven thermostatically controlled loads (TCLs), e.g., air conditioners (ACs), have been widely utilized in demand response (DR) to provide operating reserve for power systems. However, th…

Read Paper →
Computer Science Peer-Reviewed PDF DOI

Seismic Random Noise Removal Based on a Multiscale Convolution and Densely Connected Network for Noise Level Evaluation

Liang Guo, Renze Luo, Xingyu Li, Yang Zhou, Tuo Juanjuan, Canru Lei · 2022

Traditional denoising methods for seismic exploration data design a corresponding mathematical denoising model batch according to the different properties of different random noises, which is a tediou…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Research and Embedded Implementation of Let-Off and Take-Up Dynamic Control Based on Fuzzy Neural Network and Vector Control Optimization

Yanjun Xiao, Xiaoliang Wang, Furong Han, Ping Liu, Yunfeng Jiang · 2022

This paper investigates the warp let-off and take-up mechanism of rapier looms to solve the problem that the warp tension of rapier looms fluctuates greatly and the warp let-off is difficult to mainta…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

An Accurate Matching Query Method of Natural Language Knowledge Graph Based on Hierarchical Graph Topological Sequence

Qifeng Zou, Chaoze Lu · 2022

In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query proble…

Read Paper →
Computer Science Peer-Reviewed PDF DOI

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Zaid Ameen Abduljabbar, Iman Qays Abduljaleel, Junchao Ma, Mustafa A. Al Sibahee, Vincent Omollo Nyangaresi, Dhafer G. Honi, Ayad I. Abdulsada, Xianlong Jiao · 2022

The World Wide Web is experiencing a daily increase in data transmission because of developments in multimedia technologies. Consequently, each user should prioritize preventing illegal access of this…

Read Paper →
Computer Science Peer-Reviewed PDF DOI

LIANet: Layer Interactive Attention Network for RGB-D Salient Object Detection

Yibo Han, Liejun Wang, Anyu Du, Shaochen Jiang · 2022

RGB-D salient object detection (SOD) usually describes two modes’ classification or regression problem, namely RGB and depth. The existing RGB-D SOD methods use depth hints to increase the detection p…

Read Paper →
Computer Science Peer-Reviewed PDF DOI

Least Squares Generative Adversarial Networks-Based Anomaly Detection

Chang-Ki Lee, Yu-Jeong Cheon, Wook-Yeon Hwang · 2022

Multivariate statistical process control (MSPC) is a technique for detecting anomalies by monitoring several quality characteristics simultaneously. For the MSPC problem, the Hotelling’s T2 contro…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Deep Reinforcement Learning-Based Routing on Software-Defined Networks

Gyungmin Kim, Yohan Kim, Hyuk Lim · 2022

With an exponential increase in network traffic demands requiring quality of services, the need for routing optimization has become more prominent. Recently, the advent of software-defined networking …

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

An End-to-End Stochastic Action and Visual Estimation System Towards Autonomous Teleoperation

Abdullah Akay, Yusuf Sinan Akgul · 2022

Teleoperation systems have been getting significant attention from many application areas for decades. However, classical teleoperation systems suffer from problems such as lack of natural feedback, l…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

Fang Li, Xueyuan Li, Qi Liu, Zirui Li · 2022

Pedestrian detection is an important branch of computer vision, and has important applications in the fields of autonomous driving, artificial intelligence and video surveillance. With the rapid devel…

Read Paper →
Page 1 of 4307 Next →