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Showing 9972 results for "deep learning" · Peer-Reviewed
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 …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Phu N. Tran, Hoang Q. V. Nguyen, Duc-Thinh Pham, Sameer Alam · 2022

Aircraft trajectory prediction is a challenging problem in air traffic control, especially for conflict detection. Traditional trajectory predictors require a variety of inputs such as flight-plans, a…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers

Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic · 2022

In this study, a framework for Android malware detection based on permissions is presented. This framework uses multiple linear regression methods. Application permissions, which are one of the most c…

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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

Lighting-and Personal Characteristic-Aware Markov Random Field Model for Facial Image Relighting System

Ching-Ting Tu, Hwei-Jen Lin, Chin-Yu Chang · 2022

A learning-based image relighting framework is proposed for automatically changing the lighting conditions of facial images from one lighting source to another. Given only a 2D unseen facial testing i…

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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

NASCENT: A Non-Invasive Solution for Detecting Utilization of Servers in Bare-Metal Cloud

Maruthi Seshidhar Inukonda, Atharva Rajendra Karpate, Bheemarjuna Reddy Tamma, Sparsh Mittal, Praveen Tammana · 2022

Physical servers are available as-a-service in bare-metal public and private cloud platforms, and their demand has been proliferating because of the high levels of privacy and security guarantees they…

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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…

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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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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

State-Dependent Parameter Tuning of the Apparent Tardiness Cost Dispatching Rule Using Deep Reinforcement Learning

Byungwook Min, Chang Ouk Kim · 2022

The apparent tardiness cost (ATC) is a dispatching rule that demonstrates excellent performance in minimizing the total weighted tardiness (TWT) in single-machine scheduling. The ATC rule’s performanc…

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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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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

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 …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction

Marouane Tliba, Mohamed A. Kerkouri, Bashir Ghariba, Aladine Chetouani, Arzu Coltekin, Mohamed Sami Shehata, Alessandro Bruno · 2022

Human visual Attention modelling is a persistent interdisciplinary research challenge, gaining new interest in recent years mainly due to the latest developments in deep learning. That is particularly…

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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…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers

Taeheung Kim, Jong-Seok Lee · 2022

The naive Bayesian classification method has received significant attention in the field of supervised learning. This method has an unrealistic assumption in that it views all attributes as equally im…

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Computer Science Peer-Reviewed PDF DOI

Robust Network Intrusion Detection System Based on Machine-Learning With Early Classification

Taehoon Kim, Wooguil Pak · 2022

Network Intrusion Detection Systems (NIDSs) using pattern matching have a fatal weakness in that they cannot detect new attacks because they only learn existing patterns and use them to detect those a…

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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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AI & Data Science Peer-Reviewed PDF DOI

Comparative Study of Optimum Medical Diagnosis of Human Heart Disease Using Machine Learning Technique With and Without Sequential Feature Selection

Ghulab Nabi Ahmad, Shafi Ullah, Abdullah Algethami, Hira Fatima, Syed Md. Humayun Akhter · 2022

Predicting heart disease is regarded as one of the most difficult challenges in the health-care profession. To predict cardiac disease, researchers employed a variety of algorithms including LDA, RF, …

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