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Showing 27162 results for "models" · Peer-Reviewed
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…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Automated Heart Valve Disorder Detection Based on PDF Modeling of Formant Variation Pattern in PCG Signal

Monjur Morshed, Shaikh Anowarul Fattah, Mohammad Saquib · 2022

Heart valve disorder (HVD) analysis from heart sound is being well known for a long period of time, and use of digital stethoscope gives opportunity to diagnose HVDs from phonocardiographic (PCG) sign…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

On the Scalability of Vision-Based Drone Swarms in the Presence of Occlusions

Fabian Schilling, Enrica Soria, Dario Floreano · 2022

Vision-based drone swarms have recently emerged as a promising alternative to address the fault-tolerance and flexibility limitations of centralized and communication-based aerial collective systems. …

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Engineering Peer-Reviewed PDF DOI

Automated Prescreening of Mild Cognitive Impairment Using Shank-Mounted Inertial Sensors Based Gait Biomarkers

Ahsan Shahzad, Aresh Dadlani, Hyeonil Lee, Kiseon Kim · 2022

The mild symptoms in Mild Cognitive Impairment (MCI), a precursor of dementia, often go unnoticed and are assumed as normal aging signs. Such negligence result in late visits which consequently, lead …

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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…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Trapdoor Privacy in Public Key Encryption With Keyword Search: A Review

Koon-Ming Chan, Swee-Huay Heng, Wei-Chuen Yau, Shing-Chiang Tan · 2022

The public key encryption with keyword search (PEKS) scheme allows searches to be performed over ciphertext by a server in a public-key setting. The PEKS scheme suffers from a major drawback which is …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Soft Label With Channel Encoding for Dependent Facial Image Classification

Bing-Fei Wu, Yi-Chiao Wu, Li-Wen Chiu, Hsuan-Po Liu · 2022

In classification tasks, training labels are usually specified as one-hot targets which represent each class equally and exclusively. However, this labeling rule is not suitable in some situations. Fo…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

PersianQuAD: The Native Question Answering Dataset for the Persian Language

Arefeh Kazemi, Jamshid Mozafari, Mohammad Ali Nematbakhsh · 2022

Developing Question Answering systems (QA) is one of the main goals in Artificial Intelligence. With the advent of Deep Learning (DL) techniques, QA systems have witnessed significant advances. Althou…

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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…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People

Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee · 2022

Visually impaired persons (VIPs) comprise a significant portion of the population, and they are present around the globe and in every part of the world. In recent times, technology proved its presence…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Comparing Advanced Control Strategies to Eliminate Stick-Slip Oscillations in Drillstrings

Jean Auriol, Islam Boussaada, Roman J. Shor, Hugues Mounier, Silviu-Iulian Niculescu · 2022

In this paper, we present three methods to achieve reliable drillbit angular velocity control for deep drilling operations. We consider a multi-sectional drilling system with the bit off-bottom, which…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Learning Depth Estimation From Memory Infusing Monocular Cues: A Generalization Prediction Approach

Yakun Zhou, Jinting Luo, Musen Hu, Tingyong Wu, Jinkuan Zhu, Xingzhong Xiong, Jienan Chen · 2022

Depth estimation from a single image is a challenging task, yet this field has a promising prospect in automatic driving and augmented reality. However, the prediction accuracy is degraded significant…

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Computer Science Peer-Reviewed PDF DOI

Automated Software Test Data Generation With Generative Adversarial Networks

Xiujing Guo, Hiroyuki Okamura, Tadashi Dohi · 2022

With the rapid increase of software scale and complexity, the cost of traditional software testing methods will increase faster than the scale of software. In order to improve test efficiency, it is p…

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Engineering Peer-Reviewed PDF DOI

A Novel Array Configuration Technique for Improving the Power Output of the Partial Shaded Photovoltaic System

Santhan Kumar Cherukuri, B. Praveen Kumar, Kalyan Raj Kaniganti, S. Muthubalaji, Ghanta Devadasu, Thanikanti Sudhakar Babu, Hassan Haes Alhelou · 2022

Power conversion efficiency is the most important factor to be considered in PV systems because it is affected by various environmental conditions. The effect of partial shading is the most influenced…

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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…

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Computer Science Peer-Reviewed PDF DOI

Complex Network–Based Change Propagation Path Optimization in Mechanical Product Development

Yong Yin, Shuxin Wang, Jian Zhou · 2022

Change propagation is a process in which a change to one part or element of a developed mechanical product tends to induce additional changes to other elements of the product, and the changes can prop…

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AI & Data Science Peer-Reviewed PDF DOI

LOTR: Face Landmark Localization Using Localization Transformer

Ukrit Watchareeruetai, Benjaphan Sommana, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly, Aubin Samacoits, Samuel W. F. Earp, Nakarin Sritrakool · 2022

This paper presents a novel Transformer-based facial landmark localization network named Localization Transformer (LOTR). The proposed framework is a direct coordinate regression approach leveraging a…

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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…

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AI & Data Science Peer-Reviewed PDF DOI

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario

Aroosa Hameed, John Violos, Aris Leivadeas · 2022

As the number of Internet of Things (IoT) devices and applications increases, the capacity of the IoT access networks is considerably stressed. This can create significant performance bottlenecks in v…

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AI & Data Science Peer-Reviewed PDF DOI

Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding

Seongbin Oh, Dongseok Kwon, Gyuho Yeom, Won-Mook Kang, Soochang Lee, Sung Yun Woo, Jaehyeon Kim, Jong-Ho Lee · 2022

Hardware-based Spiking Neural Networks (SNNs) are regarded as promising candidates for the cognitive computing system due to its low power consumption and highly parallel operation. In this paper, we …

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