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

41 citations · 110 across the 9 of their papers we have counts for

collaborators

12 papers

eess.SP2026

Green Learning-Based Signal-Level Detection of RIS Spoofing Attacks in Vehicular ISAC Systems

Po-Heng Chou, Tingyu Shui, Pin-Qi Fu +3

Integrated sensing and communication (ISAC) enables wireless infrastructure to jointly support communication and environmental sensing, but also introduces new physical-layer secur…

eess.SP2026

Lightweight Time-Frequency Vibration Sensing for Consumer Device Condition Monitoring

Po-Heng Chou, Jen-Yu Chiu, Chun-Yu Yeh +2

Consumer rotating devices, including washing machines, air conditioners, electric fans, robotic vacuum cleaners, and home fitness equipment, increasingly rely on vibration sensing…

cs.NI2025

Measurement-Driven Early Warning for Resilient 5G NSA Railway Networks

Po-Heng Chou, Da-Chih Lin, Hung-Yu Wei +2

This paper presents a measurement-driven study of early warning for reliability breakdown events in 5G non-standalone (NSA) railway networks. Using 10 Hz metro-train measurement tr…

eess.SP2025★ 12 cited

NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline Communications

Ying-Ren Chien, Po-Heng Chou, You-Jie Peng +3

To effectively process impulse noise for narrowband powerline communications (NB-PLCs) transceivers, capturing comprehensive statistics of nonperiodic asynchronous impulsive noise…

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.IT2025★ 24 cited

Deep Reinforcement Learning-Based Precoding for Multi-RIS-Aided Multiuser Downlink Systems with Practical Phase Shift

Po-Heng Chou, Bo-Ren Zheng, Wan-Jen Huang +3

This study considers multiple reconfigurable intelligent surfaces (RISs)-aided multiuser downlink systems with the goal of jointly optimizing the transmitter precoding and RIS phas…

cs.IT2025★ 7 cited

Capacity-Net-Based RIS Precoding Design without Channel Estimation for mmWave MIMO System

Chun-Yuan Huang, Po-Heng Chou, Wan-Jen Huang +2

In this paper, we propose Capacity-Net, a novel unsupervised learning approach aimed at maximizing the achievable rate in reflecting intelligent surface (RIS)-aided millimeter-wave…

cs.NI2025

Markov Modeling for Licensed and Unlicensed Band Allocation in Underlay and Overlay D2D

Po-Heng Chou, Yen-Ting Liu, Wei-Chang Chen +1

In this paper, a novel analytical model for resource allocation is proposed for a device-to-device (D2D) assisted cellular network. The proposed model can be applied to underlay an…

eess.SP2025

CWT-Enhanced Vibration Sensing With Time-Frequency Region Localization Using YOLO

Po-Heng Chou, Wei-Lung Mao, Ru-Ping Lin +2

This letter presents a CWT-enhanced vibration sensing framework for bearing fault monitoring through localized time-frequency region detection on continuous wavelet transform (CWT)…

eess.SP2025★ 2 cited

DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shift

Po-Heng Chou, Ching-Wen Chen, Wan-Jen Huang +3

In this paper, the precoding design is investigated for maximizing the throughput of millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems with obstructed direct c…