Search Results - "Park, Homin"

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data by Lee, Hyunjung, Ozbulak, Utku, Park, Homin, Depuydt, Stephen, De Neve, Wesley, Vankerschaver, Joris

“…Deep neural networks (DNNs) have the potential to revolutionize our understanding and treatment of genetic diseases. An inherent limitation of deep neural…”
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Accurate Driver Detection Exploiting Invariant Characteristics of Smartphone Sensors by Ahn, DaeHan, Park, Homin, Shin, Kyoosik, Park, Taejoon

“…Distracted driving jeopardizes the safety of the driver and others. Numerous solutions have been proposed to prevent distracted driving, but the number of…”
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Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste by Ahn, DaeHan, Park, Homin, Hwang, Seokhyun, Park, Taejoon

“…Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding…”
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Energy-efficient privacy protection for smart home environments using behavioral semantics by Park, Homin, Basaran, Can, Park, Taejoon, Son, Sang Hyuk

“…Research on smart environments saturated with ubiquitous computing devices is rapidly advancing while raising serious privacy issues. According to recent…”
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ReLiSCE: Utilizing Resource-Limited Sensors for Office Activity Context Extraction by Park, Homin, Park, Jongjun, Kim, Hyunhak, Jun, Jongarm, Hyuk Son, Sang, Park, Taejoon, Ko, JeongGil

“…The capability to extract human activity context in a room environment can be used as meaningful feedback for various wireless indoor application systems…”
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Towards intelligent services in smart home environments by Basaran, Can, Homin Park, Taejoon Park, Son, Sang H.

“…Smart home environments require tight coupling between different types of sensors, actuators, and computer algorithms. To address the challenges in building a…”
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Estimation of effective cohesion using artificial neural networks based on index soil properties: A Singapore case by Kim, Yongmin, Satyanaga, Alfrendo, Rahardjo, Harianto, Park, Homin, Sham, Aaron Wai Lun

“…This study presents a development of a multi-layer perceptron (MLP) model to spatially estimate and analyze the variability of effective cohesion for residual…”
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Development of a video-based deep learning model for differentiation of malignant and benign lesions during staging laparoscopy: Is the machine better than the expert? by Tozzi, Francesca, Mousavi, Seyed Amir, Van Liefferinge, Matthias, Moon, Dongin, Park, Homin, Fadaei, Sharareh, Ceelen, Wim, Willaert, Wouter, De Neve, Wesley, Rashidian, Nikdokht

“…e13616 Background: Laparoscopic staging of abdominal cancer is routinely performed to assess the presence of peritoneal metastasis (PM). One major challenge of…”
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Activity-Aware Sensor Cycling for Human Activity Monitoring in Smart Homes by Park, Homin, Hwang, Seokhyun, Won, Myounggyu, Park, Taejoon

“…Smart homes are one of the Internet of Things domains intended to support and aid the residents through various smart services. These services require accurate…”
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Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference System by Ahn, DaeHan, Park, Homin, Hwang, Seokhyun, Park, Taejoon

“…Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding…”
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Linking Mobility Traces of the Same User Across Different Datasets by Zhang, Dylan, Park, Homin, Xiang, Shili

“…Smart mobile apps have become an integral part of our daily lives, offering intelligent services anytime, anywhere. Various apps tap into mobility traces from…”
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5.2 An 8Ω 10W 91%-power-efficiency 0.0023%-THD+N multi-level Class-D audio amplifier with folded PWM by Ji-Hun Lee, Jun-Suk Bang, Ki-Duk Kim, Hui-Dong Gwon, Sang-Hui Park, Yeunhee Huh, Kye-Seok Yoon, Jong-Beom Baek, Yong-Min Ju, Gibbeum Lee, Homin Park, Hyeon-Min Bae, Gyu-Hyeong Cho

“…As the portable device market tries to enhance user experience, high-power audio systems with boosted supply voltage have been the main design focus recently…”
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Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training by Ozbulak, Utku, Lee, Hyun Jung, Boga, Beril, Anzaku, Esla Timothy, Park, Homin, Van Messem, Arnout, De Neve, Wesley, Vankerschaver, Joris

“…Transactions on Machine Learning Research, 2023 Although supervised learning has been highly successful in improving the state-of-the-art in the domain of…”
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Hierarchical Multi-Task Learning for Healthy Drink Classification by Park, Homin, Bharadhwaj, Homanga, Lim, Brian Y.

“…Recent advances in deep convolutional neural networks have enabled convenient diet tracking exploiting photos captured with smartphone cameras. However, most…”
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Automatic Identification of Driver’s Smartphone Exploiting Common Vehicle-Riding Actions by Homin Park, DaeHan Ahn, Taejoon Park, Shin, Kang G.

“…Texting or browsing the web on a smartphone while driving, called distracted driving, significantly increases the risk of car accidents. There have been a…”
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SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations by Wang, Yunlong, Liu, Jiaying, Park, Homin, Schultz-McArdle, Jordan, Rosenthal, Stephanie, Kay, Judy, Lim, Brian Y

“…Self-tracking can improve people's awareness of their unhealthy behaviors and support reflection to inform behavior change. Increasingly, new technologies make…”
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Finding Compact Class Sets for Korean Font Image Classification by Shin, Seungwon, Kim, Dongkyu, Park, Homin, Kang, Byungkon, Sohn, Kyung-Ah

“…We address the problem of finding compact class sets for Korean font images taken under natural and noisy circumstances. Korean font images are prone to…”
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Poster Abstract: Maximizing Accuracy of Fall Detection and Alert Systems Based on 3D Convolutional Neural Network by Seokhyun Hwang, DaeHan Ahn, Homin Park, Taejoon Park

“…We present a deep-learning-based approach to maximize the accuracy and reliability of vision-based fall detection and alert systems. The proposed approach…”
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A fully-digital semi-rotational frequency detection algorithm for bang-bang CDRs by Kwon, Soon-Won, Choi, Hanho, Jeon, Younho, Kim, Bongjin, Kwon, WooHyun, Park, Homin, Kwon, Kyeongha, Kim, Gain, Bae, Hyeon-Min

“…This work presents a new frequency acquisition method using semi-rotational frequency detection (SRFD) algorithm for a reference-less clock and data recovery…”
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