Adaptive face recognition for mobility support robots using negative feature augmentation and Growing Neural Gas by Chyan Zheng Siow, Qingwei Song, Azhar Aulia Saputra, Naoyuki Kubota

“…Furthermore, the proposed method was tested on the LFW benchmark dataset, resulting in an improved recognition rate of 0.86 when the threshold was set to 0.8. …”
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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

“…The database needs to be scanned multiple times by traditional Apriori algorithms to generate candidate itemsets, resulting in significantly reduced efficiency, but also have too simple a support threshold setting, which fails to fully consider the importance and differences of different itemsets in practical business, thereby affecting the accuracy of frequent item mining. …”
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The seasonality of respiratory syncytial virus and its associations with meteorological factors in Hong Kong, 2014–2023 by Qian Xiong, Zhuyao Rong, Jinjun Ran, Xiang Ren, Li Li

“…Three different approaches were applied to explore the RSV seasonality including the 50th percentile method, the average annual percentage (AAP) method, and the 2 % threshold method. …”
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A Precipitation Forecast Score Based on Potential Impact by Liujie PAN, Hongfang ZHANG, Chunjuan QI, Shan LU, Lili DU

“…In traditional contingency tables， the hit and false alarm events are given equal weights when calculating the precipitation TS score.The weight of missed precipitation events with different amounts that satisfy the threshold conditions is also the same.At the same time， the frequency calculation method for hit events of different precipitation amounts within the threshold range is also the same.However， these methods lack precision in the verification of high-resolution grid precipitation forecasts.In fact， the impact of differences in observed precipitation values， even when predictions hit the threshold， may be completely different.Additionally， the impact of differences in the forecasting and observation of precipitation values in missed precipitation events may also vary greatly.The article proposes a precipitation impact forecast score based on the comprehensive consideration of precipitation hit rate， missed alarm ratio， and precipitation amount."…”
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Discussion on the Non-Linear Stability of Short Hydrodynamic Bearings by Applying Rabinowitsch Fluid Model by Huaiqing Lu, Chunyan Cheng, Zhuxin Tian

“…The modified Reynolds equation is solved by the small perturbation method, and the stiffness and damping coefficients and threshold speed of hydrodynamic bearings are obtained. …”
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A Computer System for Measuring the Relationship of Smell and Pain by ADRIAN DAVID CHEOK, Timothy Adeyi

“…This paper proposes a computing system for conducting smell vs pain experiments using a laboratory-built olfactometer together with cold pressor test (CPT) and pressure pain threshold (PPT) measurements. We conducted CPT and PPT experiments for three different types of smells: pleasant, sweet, and unpleasant. …”
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Energy-based jamming pattern open set recognition via spiking wavelet transformer. by Xincheng Zhong, Junbiao Cui, Zhuangwei Ji

“…To address the variability in feature distributions across different Jamming-to-Signal Ratios (JSR) and JPs, the proposed energy-based model dynamically adjusts the threshold, enabling accurate recognition of both known and unknown jamming types. …”
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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…Moreover, to identify essential features for PCOS prediction three feature selection methods: Threshold-driven Optimized Principal Component Analysis (TOPCA), Optimized Salp Swarm (OSSM), and Threshold-driven Optimized Mutual Information Method (TOMIM) were fine-tuned through thresholding and improvisation to detect diverse attribute sets with varying numbers and combinations. …”
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A robust cyclic-feature detection against noise uncertainty by Qiang CHEN, Ming JIN, Jingwen TONG

“…Aiming at this problem, a cyclic-feature detection method resisting to noise uncertainty was proposed. …”
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Green growth pathway through green innovation and human capital under low and high regime: From the perspective of energy intensity by Abdullah Abdulmohsen Alfalih

“…The current study aims to investigate the repercussions of human facets and the green patents on energy intensity-driven green growth. We use the panel threshold regression (PTR) supported by the Exponential Panel Smooth Regression (EPSR) method spanning the period 1997-2019 to the case of 16 countries which include most and least eco-friendly countries. …”
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Research on formant estimation algorithm for high order optimal LPC root value screening by Hua LONG, Shumeng SU

“…The relationship between the order of linear prediction and the screening threshold of root amplitude was analyzed. To remove false roots, the root amplitude feedback method under digital resonance constraint was used to obtain the filtering threshold of matching high order and low error rate. …”
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A Refined Model for Ablation Through Cavitation Bubbles with Ultrashort Pulse Lasers by Shwetabh Verma, Samuel Arba Mosquera

“…The purpose of this paper is to discuss prominent cavitation bubble models describing photodisruption and plasma-induced ablation and to explore their nature for different threshold energies. This exploration will help to better distinguish the two interaction mechanisms. …”
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Gearbox Fault Diagnosis based on LMD Approximate Entropy and PSO-ELM by Zhang Yuxue, Pan Hongxia

“…Finally,the input weights of ELM and the threshold value of the hidden layer neurons are optimized by the particle swarm optimization algorithm,the model of PSO-ELM is established,and the approximate entropy values are input into the ELM and PSO-ELM models to recognize and classify the fault types of the gearbox of different conditions. …”
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Distributed Transmission Probability Control in Fading Channel with State Information by S. Xie, K.S. Low, E. Gunawan

“…A novel technique to better exploit the channel state information (CSI) named adaptive CSI transmission method is proposed. Benchmarking with the no-CSI method and threshold-based CSI method, it is revealed that the proposed adaptive CSI method can yield up to 9.9% more throughput and 12.3% power reduction. …”
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The rationality of the punishment ladder: evidence from a quasi-natural experiment in China by Ke Jiang, Fang Wang

“…Specifically, this research employs methods such as regression discontinuity design. The results reveal that after a judicial interpretation in 2017 defined the amount of information corresponding to different circumstances surrounding this crime, a significant discontinuity pertaining to fixed-term imprisonment sentences emerged at the threshold of the amount of information. …”
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Study on consistency between liver fat fraction quantification based on photon-counting CT and MRI proton density fat fraction by CAI Xinxin, DENG Rong, XU Xinxin, XU Zhihan, CHANG Rui, DONG Haipeng, LIN Huimin, YAN Fuhua

“…Objective To investigate the consistency between CT-derived fat fraction (CT-FF) based on photon-counting CT material decomposition under different scanning conditions and magnetic resonance imaging proton density fat fraction (MRI-PDFF), thereby developing a CT-based method for liver fat quantification suitable for the Chinese population. …”
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Traffic Flow Detection Using Distributed Fiber Optic Acoustic Sensing by Huiyong Liu, Jihui Ma, Wenfa Yan, Wensheng Liu, Xi Zhang, Congcong Li

“…Different from the traditional traffic flow detection method, this method detects the traffic vibration signal using a fiber optic cable. …”
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Perceptions and electric senoidal current stimulation by Julia Manzano Pimentel, Renata Petrillo, Mirna Migliacci F. Vieira, Lydia Maria Pereira Giuliano, Carlos Julio Tierra-Criollo, Nadia Iandoli de Oliveira Braga, João Antonio Maciel Nóbrega, Gilberto Mastrocola Manzano

“…OBJECTIVE: To analyze the relationship between perceptions and electrical senoidal current stimulation (ESCS). METHOD: The study population comprise 100 healthy volunteers. …”
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Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach by Hongzeng He, Shufen Dai

“…The results indicate that the time-migrated DCCA ensures more relevant results than the equal-time DCCA method. An interesting finding is that the price limit has different effects on the stock market network at different stages of dynamic evolution. …”
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基于特征评估与核主分量分析的齿轮故障分类方法 by 瞿雷, 戴光昊, 王琇峰, 沈玉娣

“…For the blindness and one-sidedness of selection and fusion of mechanical fault features without priori knowledge,a novel method of gear fault feature extraction and classification based on feature evaluation and kernel principal component analysis is presented,where the original signals are decomposed with wavelet pocket decomposition（WPD）,and the features in time domain are extracted from the original signals and each decomposed signal to compose the combined features.Furthermore,the threshold value for stability and the filtering scale factor for sensitivity are confirmed to evaluate the features by the combined method with stability and sensitivity,and the nonlinear features are extracted from the residual features by using the method of kernel principal component analysis（KPCA）to realize the classification of different fault conditions.The experimental results of gearbox demonstrate that the method integrating WPD,combined feature evaluation method and KPCA,could better extract the feature information of gear fault,remove the unstable and insensitive ones from a large number of features,and obviously improve the result of nonlinear feature extraction of gear fault for KPCA.…”
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