Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

“…We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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The effects of gender and gain versus loss frame on processing breast cancer screening messages by Kim, Hyo Jung

“…This current study investigated how the gain versus loss framing effect would be moderated by gender of message recipients in the context of breast cancer screening (BCS) intervention that promotes both men and women to recommend regular BCS to their close women. A 2 (male vs. female) x 2 (gain vs. loss) between-subject experiment was conducted using 128 African American participants (mean age = 45.9). …”
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Effects of blended learning on EFL college students’ oral communicative competence: a critical review of studies by Zhangli, Wu, Ismail, Lilliati, Ahmad, Norhakimah Khaiessa, Mahfoodh, Omer Hassan Ali, Wang, Xuewen

“…In the face of the arrival of the information and intelligence era and the need for regular pandemic prevention and control, blended learning has become a normalized teaching approach. …”
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Enhancing accuracy and efficiency in stiff ode integration using variable step diagonal bbdf approaches by Ibrahim, Zarina Bibi, Mohd Ijam, Hazizah, Aksah, Saufianim Jana, Abd Rasid, Norshakila

“…The new scheme leverages an adaptive step-size strategy to refine accuracy and efficiency between regular and off-grid integration steps. Theoretical analysis confirms that the proposed scheme is an A-stable and convergent method, as it satisfies the fundamental criteria of consistency, zero-stability, and A-stability. …”

Security enhancement of fingerprint authentication by Alias, Joe

“…Although no formal definition of image texture exits, intuitively this provides a measure of properties such as surface smoothness, coarseness, and regularity. The variations in making a fake finger cause the creation of a much coarser surface in the case of a fake finger.…”
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That mysterious man by Lin, Enyi

“…The police suspect that the nightclub is implicated in the drug trade and Zhang Xu, a medicine dealer who is a regular, is involved. Xu An reports to his captain Chen Yi. …”
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Measurement of magnetic hard disk surfaces by atomic force microscopy with fractal analysis by Anne Sasikanth

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Visualizing relation between tags in StackOverflow by Teong, Ke Ming

“…The extraction is completed using part of speech tagger and regular expression parser. Next, the relation and parent tag is retrieved. …”
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Randomness and early termination: what makes a game exciting? by Guo, G, Howison, S, Possamai, D, Reisinger, C

“…We prove its wellposedness and regularity of its solution by combining PDE analysis and probabilistic tools, in particular the reformulation as a stochastic control problem with restricted control set, which allows us to deduce strict ellipticity. …”

REACH story of change: cleaning the tap: tap hygiene for safer drinking water by REACH

“…Evidence from Bangladesh suggests that regular cleaning of water point spouts and taps could substantially reduce this figure, even halving the number of contaminated handpumps.…”

Distributed momentum based multi-agent optimization with different constraint sets by Zhou, X, Ma, Z, Zou, S, Margellos, K

“…Simulations on an ℓ1-regularized logisticregression problem show that the proposed algorithm can achieve faster convergence than existing related distributed algorithms, while a case study involving a building energy management problem further demonstrates its efficacy.…”

On affine invariant clustering and automatic cast listing in movies by Fitzgibbon, A, Zisserman, A

“…In addition, we incorporate prior probabilities on the transformation parameters. This further regularizes the solution, mitigating arare but serious tendency of the existing solutions to diverge. …”

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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A new reconfigurable true random number generator and physical unclonable function unified chip with on-chip auto-calibration by Cao, Yuan, Liu, Wanyi, Zheng, Yue, Chen, Shuai, Ye, Jing, Qian, Lei, Chang, Chip Hong

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Toolpath Planning for Manufacturing of Complex Parts Through Incremental Sheet Forming by Jiang, Zilin, Liao, Shuheng, Slocum, Alexander H., Leem, Dohyun, Ehmann, Kornel F., Cao, Jian

“…The proposed criterion extends existing toolpath strategies for relatively regular geometries, where features are formed from flat or inclined bases to more complex geometries with features on a curved basis. …”
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A multiplicative Nakagami speckle reduction algorithm for ultrasound images by Yu, Chengpu, Zheng, Cishen, Xie, Lihua

“…A 2D total variation regularized Nakagami speckle reduction algorithm is derived based on the maximum a posteriori estimation framework, which performs well in restoring piecewise-smooth reflectivity and preserving fine details of the image. …”
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Measuring dynamical uncertainty with Revealed Dynamics Markov Models by Bramson, Aaron, Baland, Adrien, Iriki, Atsushi

“…While previous measures capture local noise or the regularity of short patterns, our measures track holistic features of time series dynamics that also satisfy criteria as being approximate measures of information generation (Kolmogorov entropy). …”
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Investigation of field-modulation effect of consequent-pole vernier motor for electric vehicles by Yan, Zihao

“…An analytical model is applied to investigate and reveal the field modulation effect (FME) of consequent-pole permanent magnet vernier machine (CP-PMVM). A regular surface-mounted permanent magnet vernier machine (SPMVM) model is also built as a comparison and the detailed parameters of both models were established utilizing vernier machine design methodology. …”
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Tree radar image acquisition and processing by Lim, Linson Ze En

“…To avoid such tragedies, regular health monitoring of living tree trunks is necessary. …”
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OOD detection for 1D LiDAR scans by Mishra, Pradyumn

“…This paper focuses on enhancing OOD detection in the context of LiDAR-based autonomous vehicle navigation, using VAEs and β-VAEs, the latter designed to encourage disentanglement in the latent space by adjusting a regularization parameter, β. Additionally, this study evaluates the models on varied track environments using the F1tenth framework, to measure of these OOD detection architectures across varied environments.…”
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