Multiscale corner detection based on wavelet transform and scale-space theory by Gao, Xinting

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Human detection based on a probabilistic assembly of robust part detectors by Mikolajczyk, K, Schmid, C, Zisserman, A

Ultra-low power real-ime object detection based on quantized CNNs by Chew, Jing Wei

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Multiple toxic heavy metal ions detection based on graphene quantum dots optical sensing by Loh, Jun Jie

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Volumetric enhancement of Raman scattering for fast detection based on a silver-lined hollow-core fiber by Chu, Qian, Jin, Zhiqiang, Yu, Xingtao, Li, Caoxin, Zhang, Weihua, Ji, Wenbing, Lin, Bo, Shum, Perry Ping, Zhang, Xuping, Wang, Guanghui

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Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability by Liang, Chen, Wang, Peng, Han, Xiaoqing, Qin, Wenping, Jia, Yanbing, Yuan, Tiejiang

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Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization by Hartono, Noor Titan Putri, Ani Najeeb, Mansoor, Li, Zhi, Nega, Philip W., Fleming, Clare A., Sun, Xiaohe, Chan, Emory M., Abate, Antonio, Norquist, Alexander J., Schrier, Joshua, Buonassisi, Tonio

“…We present a systematic exploration of nine (9) bipyridine- and terpyridine-based additives selected from 29 candidates using high-throughput single-crystal growth. To combat selection bias and generate hypotheses for future experimental cycles of learning, we featurize candidate additives using Mordred descriptors and compare similarity metrics. …”
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Methodological, political and legal issues in the assessment of the effects of nanotechnology on human health by Schulte, Paul A, Riediker, Michael, Fatkhutdinova, Liliya, Bergamaschi, Enrico, Canu, Irina Guseva

“…Forming ENM worker cohorts from a combination of smaller cohorts and overcoming selection bias are also challenges. National or international registries for monitoring the exposures and health of ENM workers would be helpful for epidemiological studies, but the creation of such a registry and ENM worker cohorts will require political support and dedicated funding at the national and international levels. …”
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The GCSE attainment gap: assessing the influence of permanent school exclusion by Hills, Stephen, Walker, Matthew, Guinn, James, Kent, Aubrey

“…This is a critical limitation of the research due to the influence of confounding variables and sample selection bias. Using the National Pupil Database and a full cohort of UK pupils (N=590,092), our analysis tracked a sample of 1,490 pupils permanently excluded in year 11 of the English education system in 2018/19. …”
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Mobile landmark recognition for information retrieval by Aung, Pyae Sone

“…Two feature detection methods were dense sampling based and keypoint detection based approach. 640 x 480 and 320 x 240 resolutions were used in the project. …”
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Spoofing speech detection using temporal convolutional neural network by Xiao, Xiong, Li, Haizhou, Tian, Xiaohai, Chng, Eng Siong

“…Specifically, the proposed method brings a significant performance boost for the unit selection based spoofing speech detection.…”
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Phase measurements based indoor visible light positioning systems by Zhang, Sheng

“…We design the T-selection and the V-selection strategies using hybrid DPDOA and RSS measurements as fundamental positioning standard, and show that the T-selection based system outperforms the V-selection based system.…”
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Product review summarization by Lam, Wei Ren

“…Extractive approaches are often selection-based techniques where sentences of the resulting summary generated are directly selected from the dataset reviews. …”
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Optimisation strategies for directed evolution without sequencing by James, J, Towers, S, Foerster, J, Steel, H

“…We then expand our methods to the context of emerging experimental techniques in directed evolution, which allow for single-cell selection based on fitness objectives defined from any combination of measurable traits. …”

Tree-based Data Replay for More Efficient LLM Continual Learning by Bailey, Brian

“…Future research should explore data selection based on similarity metrics or automatic data categorization to enhance scalability and applicability.…”
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Variable selection in parametric and semiparametric models by Lin, Bingqing

“…Since the proposal of the least absolute shrinkage and selection operator (LASSO) (Tibshirani, 1996) and the smoothly clipped absolute deviation (SCAD) method (Fan and Li, 2001), there have been extensive developments on model selection based on penalized log-likelihood and the computational issues of solving these problems in linear models. …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

“…The main objective is to optimize selection based on industrial production, effectively managing uncertainty in traditional portfolio selection models. …”
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Personality detection from text, based on the MBTI model by Christienne Grace Regodon, Visco

“…In this project, personality detection based on the Myers–Briggs Type Indicator (MBTI) personality model is explored using various machine learning algorithms. …”
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Fault detection system and smart power utilization using iot monitoring for photovoltaic system by Azim, Afi, Abu Hassan, Omar, Zambri, Nor Aira, Zulkifli, Shamsul Aizam

“…Also, this paper discussed solar PV system faults detection based on the difference in voltage and current values measured during usual and unusual periods based on parameters value. …”
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Driving mechanism development for autonomous hospital bed by Tan, Jia Liang

“…Development of the bed is multi-faceted and this project continues from a previous iteration, focusing on the development of the drivetrain, its control and the integration of an object-detection based computer vision approach for autonomous navigation. …”
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