Results 81 to 90 of about 27,025 (207)

Towards Interpretable Face Morphing via Unsupervised Learning of Layer‐Wise and Local Features

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Discovering meaningful face morphing is critical for applications in image synthesis. Traditional unsupervised methods rely on global or layer‐wise representations, neglecting finer local details and thus limiting the control over specific facial attributes.
Cheng Yu, Chuan Chen, Wenmin Wang
wiley   +1 more source

Implementation of K-Nearest Neighbor Algorithm on Density-Based Spatial Clustering Application with Noise Method on Stunting Clustering

Jurnal Diferensial
This paper studies the implementation of the K-Nearest Neighbor (KNN) algorithm on Density-Based Spatial Clustering Application with Noise (DBSCAN) method on stunting Clustering in the eastern region of Indonesia in 2022.
Friansyah Gani, Hasan S. Panigoro, Sri Lestari Mahmud, Emli Rahmi, Salmun K. Nasib, La Ode Nashar   +5 more
doaj   +1 more source

Person Reidentification pada Sistem Surveillance Cerdas Menggunakan Metode Bag of Visual Feature

Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2020
Sistem pengawasan berbasis CCTV telah banyak digunakan untuk memantau tempat umum, sehingga keamanan dan kenyamanan lebih terjamin. Salah satu permasalahan pada proses pengawasan adalah mengidentifikasi objek manusia pada kamera CCTV yang berbeda, yang ...
Muhammad Yusuf Manshur, Wahyono
doaj   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Machine learning assisted masking of parasitic signals in Bragg coherent diffraction imaging

Journal of Synchrotron Radiation, EarlyView.
Bragg coherent diffraction imaging measurement sometimes requires manual and time‐consuming cleaning of parasitic signals termed `aliens' from nearby particles that can affect the phase retrieval reconstruction. Here, we propose using a clustering technique to speed up this process while keeping the resolution of the reconstructed object high.
Ewen Bellec, Steven J. Leake, Mor Levi, Eugen Rabkin, Tobias U. Schülli, Marie-Ingrid Richard   +5 more
wiley   +1 more source

Home ranges, feeding sites, and daily movement behavior of the highly threatened Livingstone's fruit bat revealed through GPS tracking

Conservation Science and Practice, EarlyView.
Livingstone's fruit bat GPS tracks during day‐ and nighttime on Anjouan, Comoros, identifying likely feeding sites. Abstract The highly threatened Livingstone's fruit bat, Pteropus livingstonii, is endemic to only two islands of the Union of the Comoros, a country with some of the highest deforestation rates worldwide.
Isabella Mandl, Badrane Ben Ali Abdou, Ishaka Said, Teague O'Mara, Jon Flanders, Sourette Said Ali Chaihane, Owen T. Lewis, Misbahou Mohamed, Hugh Doulton   +8 more
wiley   +1 more source

A new method for automatic Multiple Partial Discharge Classification

, 2011
A new wavelet based feature parameter have been developed to represent the characteristics of PD activities, i.e. the wavelet decomposition energy of PD pulses measured from non-conventional ultra wide bandwidth PD sensors such as capacitive couplers (CC)
Contin, A., Hao, L, Hunter, Jack, Lewin, P.L., Michel, M, Swaffield, D.J., Walton, C   +6 more
core  

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly, Sandro Steinbach, Mike Vo, Xibo Wan   +3 more
wiley   +1 more source

How can machine learning predict cholera: insights from experiments and design science for action research

Journal of Water and Health
Cholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions.
Hauwa Ahmad Amshi, Rajesh Prasad, Birendra Kumar Sharma, Saratu Ilu Yusuf, Zaharaddeen Sani   +4 more
doaj   +1 more source

Drone Detection Using Dynamic-DBSCAN and Deep Learning in an Indoor Environment [PDF]

Journal of Electromagnetic Engineering and Science
Drones have found extensive utility in both public and personal places. Consequently, the accurate detection and tracking of drones have emerged as pivotal endeavors in terms of ensuring their optimal performance.
Ha Thi Tran, The-Hien Pham, Yun-Seok Mun, Ic-Pyo Hong   +3 more
doaj   +1 more source