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Quoc Tuan Nguyen Diep, Hoang Nhut Huynh, Minh Quan Cao Dinh, Thanh Ven Huynh, Anh Tu Tran and Trung Nghia Tran
This research investigates the critical role of frequency selection in Electrical Impedance Tomography (EIT), a non-invasive imaging technique that reconstructs internal conductivity distributions through injected electrical currents. Empirical frequency...
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Kim Long Tran, Hoang Anh Le, Cap Phu Lieu and Duc Trung Nguyen
Financial bubble prediction has been a significant area of interest in empirical finance, garnering substantial attention in the literature. This study aims to detect and forecast financial bubbles in the Vietnamese stock market from 2001 to 2021. The PS...
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Hoang-Lan-Anh Le, Thuan-Loc Tran, Thu-Thuy Nguyen, Tran-Lan-Khue Pham and Van-Khoa Pham
The present study aims to measure the number of cycles leading to fracture (NCF) of instruments in static and dynamic cyclic fatigue situations under body temperature in stainless steel double-curved canals. The framework was constructed to establish the...
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Dinh Van Duy, Tran Van Ty, Tran Nhat Thanh, Huynh Vuong Thu Minh, Cao Van De, Vu Hoang Thai Duong, Trinh Cong Dan, Nguyen Trung Viet and Hitoshi Tanaka
Tidal inlets with attached sand spits are a very common coastal landform. Since the evolution of sand spits along coastlines influence the social-economic development of local coastal areas, sand spits have become the objects of numerous studies. However...
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Nguyen Bac Giang, Tran Ngoc Tuan, Hoang Cong Tin, Duong Thanh Chung, Tran Ngoc Khanh Ni, Ngo Huu Binh, Duong Thi Nhung, Le Cong Tuan, Te Minh Son and Nguyen Tran Bao Khuyen
Plastic waste poses a significant threat to the environment, impacting both aquatic ecosystems and human health. This study aimed to quantify the leakage of plastic waste from urban and rural areas into the Tam Giang?Cau Hai lagoon system area in Vietnam...
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Tan Nghia Duong, Nguyen Nam Doan, Truong Giang Do, Manh Hoang Tran, Duc Minh Nguyen and Quang Hieu Dang
Recommendation systems based on convolutional neural network (CNN) have attracted great attention due to their effectiveness in processing unstructured data such as images or audio. However, a huge amount of raw data produced by data crawling and digital...
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Duy-Dong Le, Anh-Khoa Tran, Minh-Son Dao, Kieu-Chinh Nguyen-Ly, Hoang-Son Le, Xuan-Dao Nguyen-Thi, Thanh-Qui Pham, Van-Luong Nguyen and Bach-Yen Nguyen-Thi
The air quality index (AQI) forecast in big cities is an exciting study area in smart cities and healthcare on the Internet of Things. In recent years, a large number of empirical, academic, and review papers using machine learning (ML) for air quality a...
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Hong Hai Hoang and Bao Long Tran
With the rapid development of cameras and deep learning technologies, computer vision tasks such as object detection, object segmentation and object tracking are being widely applied in many fields of life. For robot grasping tasks, object segmentation a...
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Ngoc-Hoang Nguyen, Tran-Dac-Thinh Phan, Soo-Hyung Kim, Hyung-Jeong Yang and Guee-Sang Lee
This paper presents a novel approach to continuous dynamic hand gesture recognition. Our approach contains two main modules: gesture spotting and gesture classification. Firstly, the gesture spotting module pre-segments the video sequence with continuous...
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Tran Ngoc Khanh Ni, Hoang Cong Tin, Vo Trong Thach, Cédric Jamet and Izuru Saizen
Submerged aquatic vegetation (SAV) in the Khanh Hoa (Vietnam) coastal area plays an important role in coastal communities and the marine ecosystem. However, SAV distribution varies widely, in terms of depth and substrate types, making it difficult to mon...
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