output
20102025
most citedEarly detection of the advanced persistent threat attack using performance analysis of deep learning

103 citations

21 papers

cs.LG2025★ 12 cited

MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +2

The rising aging population has increased the importance of fall detection (FD) systems as an assistive technology, where deep learning techniques are widely applied to enhance acc…

cs.CV2025★ 41 cited

Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +1

Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to a significant burden on quality inspection personnel and makes it…

cs.CV2025★ 12 cited

YOLO-Based Defect Detection for Metal Sheets

Po-Heng Chou, Chun-Chi Wang, Wei-Lung Mao

In this paper, we propose a YOLO-based deep learning (DL) model for automatic defect detection to solve the time-consuming and labor-intensive tasks in industrial manufacturing. In…

cs.CR2024★ 15 cited

An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques

Hao-Ting Pai, Yu-Hsuan Kang, Wen-Cheng Chung

Recent advancements in Intrusion Detection Systems (IDS), integrating Explainable AI (XAI) methodologies, have led to notable improvements in system performance via precise feature…

cs.NI2022★ 95 cited

An Intelligent Deterministic Scheduling Method for Ultra-Low Latency Communication in Edge Enabled Industrial Internet of Things

Yinzhi Lu, Liu Yang, Simon X. Yang +4

Edge enabled Industrial Internet of Things (IIoT) platform is of great significance to accelerate the development of smart industry. However, with the dramatic increase in real-tim…

eess.SP2022★ 37 cited

Rate-Splitting Multiple Access and its Interplay with Intelligent Reflecting Surfaces

Arthur S. de Sena, Pedro H. J. Nardelli, Daniel B. da Costa +2

Rate-splitting multiple access (RSMA) has recently appeared as a powerful technique for improving the downlink performance of multiple-input multiple-output (MIMO) systems. By flex…

cs.LG2022★ 33 cited

Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit

Weibin Chen, Danial Sharifrazi, Guoxi Liang +3

Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high disch…

cs.LG2022★ 1 cited

Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature

Guodao Zhang, Shahab S. Band, Sina Ardabili +2

In this research, dew point temperature (DPT) is simulated using the data-driven approach. Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized as a data-driven technique to f…

physics.app-ph2021★ 27 cited

Spin-flop led peculiar behavior of temperature-dependent anomalous Hall effect in Hf/Gd-Fe-Co

Ramesh Chandra Bhatt, Lin-Xiu Ye, Ngo Trong Hai +2

Here we investigate the temperature dependence of anomalous Hall effect in Hf/GdFeCo/MgO sheet film and Hall bar device. The magnetic compensation temperature () for the…

econ.GN2020

Social Capital Contributions to Food Security: A Comprehensive Literature Review

Saeed Nosratabadi, Nesrine Khazami, Marwa Ben Abdallah +4

Social capital creates a synergy that benefits all members of a community. This review examines how social capital contributes to the food security of communities. A systematic lit…

cs.DC2020★ 15 cited

Game theory and Evolutionary-optimization methods applied to resource allocation problems in emerging computing environments: A survey

Fatemeh Rahmani, Javad Hassannataj Joloudari, Shahab Shamshirband +1

Today's intelligent computing environments, including Internet of Things, cloud computing and fog computing, allow many organizations around the world to optimize their resource al…

cond-mat.mes-hall2020★ 6 cited

Sense current dependent coercivity and magnetization relaxation in Gd-Fe-Co Hall bar

Ramesh Chandra Bhatt, Chun-Ming Liao, Lin-Xiu Ye +3

The understanding of the characteristics of a magnetic layer in a different environment is crucial for any spintronics application. Before practical applications, thorough scrutiny…

cs.CR2020★ 103 cited

Early detection of the advanced persistent threat attack using performance analysis of deep learning

Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool +3

One of the most common and important destructive attacks on the victim system is Advanced Persistent Threat (APT)-attack. The APT attacker can achieve his hostile goals by obtainin…

cs.CY2020

Study on Computational Thinking as Problem-solving Skill: Comparison Based on Students Mindset in Engineering and Social Science

Andik Asmara

One of the capabilities which 21st-century skill compulsory a person is critical thinking and problem-solving skill that becomes top positions rank. Focus on problem-solving skills…

math.OC2020★ 7 cited

Inertial extragradient algorithms for solving variational inequalities and fixed point problems

Bing Tan, Jingjing Fan, Xiaolong Qin

The objective of this research is to explore a convex feasibility problem, which consists of a monotone variational inequality problem and a fixed point problem. We introduce four…

physics.app-ph2020★ 12 cited

Modulation of anisotropic magnetoresistance by anomalous Hall signal and its application to real-time domain wall velocity measurement

Ramesh Chandra Bhatt, Yo-Yu Cheng, Lin-Xiu Ye +3

We present here a way to modulate the anisotropic magnetoresistance (AMR) by anomalous Hall signal and thus measure the domain wall (DW) motion velocity at near-coercivity. We stud…

cond-mat.mtrl-sci2019★ 28 cited

Unusual Field Dependence of Anomalous Hall Effect in Ta/TbFeCo

M. D. Davydova, Jong-Ching Wu, Sheng-Zhe Ciou +8

Experimental studies of anomalous Hall effect are performed for thin filmed Ta/TbFeCo in a wide range of temperatures and magnetic fields up to 3 T. While far from the compensation…

cs.RO2018★ 4 cited

Non-Linear Model Predictive Control with Adaptive Time-Mesh Refinement

Ciro Potena, Bartolomeo Della Corte, Daniele Nardi +2

In this paper, we present a novel solution for real-time, Non-Linear Model Predictive Control (NMPC) exploiting a time-mesh refinement strategy. The proposed controller formulates…

cond-mat.mes-hall2016★ 13 cited

Anomalous tunnel magnetoresistance and spin transfer torque in magnetic tunnel junctions with embedded nanoparticles

Arthur Useinov, Lin-Xiu Ye, Niazbeck Useinov +2

The tunnel magnetoresistance (TMR) in the magnetic tunnel junction (MTJ) with embedded nanoparticles (NPs) was calculated in range of the quantum-ballistic model. The simulation wa…

cond-mat.mes-hall2015★ 9 cited

Tunnel magnetoresistance in magnetic tunnel junctions with embedded nanoparticles

Arthur Useinov, Niazbeck Useinov, Lin-Xiu Ye +2

In this paper, we attempt the theoretical modeling of the magnetic tunnel junctions with embedded magnetic and nonmagnetic nanoparticles (NPs). A few abnormal tunnel magnetoresista…

quant-ph2010★ 2 cited

Entanglement of separate nitrogen-vacancy centers coupled to a whispering-gallery mode cavity

W. L. Yang, Z. Y. Xu, M. Feng +1

We present a quantum electrodynamical model involving nitrogen-vacancy centers coupled to a whispering-gallery mode cavity. Two schemes are considered to create W state and Bell st…