Harnessing artificial intelligence for sustainable urban development: advancing the three Zeros method through innovation and infrastructure by Mohammad Musa, Tawfikur Rahman, Nibedita deb, Preethu Rahman

“…Moreover, urbanization serves as a threshold factor, altering AI’s effects on sustainability. …”
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Bayesian Prototypical Pruning for Transformers in Human–Robot Collaboration by Bohua Peng, Bin Chen

“…However, existing sparse coding methods often have an exhaustive threshold searching process, leading to intensive hyperparameter search. …”
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On Optimal Operator for Combining Left and Right Sole Pressure Data in Biometrics Security by Takahiro Takeda, Kei Kuramoto, Syoji Kobashi, Yutaka Hata

“…Fuzzy if-then rules for each registered person are statistically determined by learning data set. Next, we combine the fuzzy degrees of right and left sole pressure data. …”
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Social network heterogeneity promotes depolarization of multidimensional correlated opinions by Jaume Ojer, Michele Starnini, Romualdo Pastor-Satorras

“…For the simplest D=2 case and correlated initial opinions, we found that the depolarization threshold can vanish if the underlying connectivity is heterogeneous, as predicted by perturbation theory. …”
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Improving Students’ Engagement in Listening Activities through Edpuzzle by Sari Setiawati, Yohanes Gatot Sutapa Yuliana, Ikhsanudin Ikhsanudin

“…In conclusion, EDpuzzle enhanced students’ engagement by creating a more interactive and enjoyable learning environment.…”
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Study on the consolidation of the technical elements and procedures specific to the soccer game in the students who are members of the secondary school football team by Savu Vasile Cătălin

“…For all statistical tests used, we chose a significance threshold α = 0.05. The results obtained in the control tests (p<0.05) validate the training program.…”
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But My Child Speaks English: Native English Parents’ Perception on Mother Tongue as Medium of Instruction by Ionell Jay Terogo, Xin Xian Calvo, Kent Aryll Canete, Michael James Cinco

“…The study uses Personality Implicit Theory, Threshold Theory, and Sociocultural Theory to describe how these parents feel about their children’s mother tongue acquisition. …”
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Generating diversity and securing completeness in algorithmic retrosynthesis by Florian Mrugalla, Christopher Franz, Yannic Alber, Georg Mogk, Martín Villalba, Thomas Mrziglod, Kevin Schewior

“…Abstract Chemical synthesis planning has considerably benefited from advances in the field of machine learning. Neural networks can reliably and accurately predict reactions leading to a given, possibly complex, molecule. …”
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In silico prediction of HIV-1-host molecular interactions and their directionality. by Haiting Chai, Quan Gu, Joseph Hughes, David L Robertson

“…As assessed by comparison with the HIV-1 infection pathway data in the Reactome database (sensitivity > 90%, threshold = 0.5), we demonstrate these models have good generalization properties. …”
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On-line Identification Method of Pantograph Anomaly Based on Feature Analysis by WANG Junping, MAO Huihua, SHEN Yunbo, LI Miaocheng, CHEN Xin'an

“…Then, the object features in the ROI of each frame such as threshold, contour thickness and tilt angle are extracted to detect abnormal states respectively, including sheep angle missing, front carbon sliding plate defect and bow head tilt, etc. …”
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Enhancing Power Converter Reliability Through a Logistic Regression-Based Non-Invasive Fault Diagnosis Technique by Acácio M. R. Amaral

“…The solution presented in this article combines signal processing techniques (SPTs) with a machine learning (ML) algorithm to determine the optimal time for capacitor replacement. …”
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Carbon Intensity and Sustainable Development Analysis of the Transportation Infrastructure Industry in China: An MLP Network Approach by Guandong Liu, Haicheng Xu

“…The analysis reveals that a critical operational threshold–renewable energy capacity below 75% fails to significantly reduce Cl, and capex/revenue ratios exceeding 73.58% indicate carbon lock-in risks. …”
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Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm by Xiaohua Yan, Yufeng Li, Fuquan Nie, Rui Li

“…It also highlights the limitations of the traditional DBSCAN algorithm, including issues with parameter selection and a lack of diverse clustering metrics. Using machine learning techniques, the study explores the relationship between customer attribute features and fixed deposits. …”
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An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China. by Hao Yang, Tianlong Wang, Nikita Igorevich Fomin, Shuoting Xiao, Liang Liu

“…Interpretability analysis identifies potential source energy and maximum 24-hour rainfall as primary determinants and uncovers a dual-threshold physical mechanism underlying debris flow initiation. …”
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A review of methods and software for polygenic risk score analysis by Sara Benoumhani, Areej Al-Wabil, Niddal Imam, Bashayer Alfawaz, Amaan Zubairi, Dalal Aldossary, Mariam AlEissa

“…Key methods for PRS computation, including penalized regression and threshold-based approaches, Bayesian approaches, and machine learning approaches, are discussed, along with notable software and their features. …”
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Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu

“…Due to the serious redundant interference of dual-carbon monitoring data resources, threshold setting in the fusion process is inaccurate. …”
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Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach by Nisha Raheja, Amit Kumar Manocha

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Online Outlier Detection for Time-varying Time Series on Improved ARHMM in Geological Mineral Grade Analysis Process by Jianjun Zhao, Junwu Zhoub, Weixing Su, Fang Liu

“…Given the difficulty of accurate online detection for massive data collecting real-timely in a strong noise environment during the complex geological mineral grade analysis process, an order self-learning ARHMM (Autoregressive Hidden Markov Model) algorithm is proposed to carry out online outlier detection in the geological mineral grade analysis process. …”
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Piezoresistive Effect: A New Concept for Hearing Aids by Mengyao Gao, Weijie Liu, Kun Chen, Huili Sun, Xiaoqing Liu, Haonan Xing, Huatang Wang, Benpeng Zhu, Haizhong Guo

“…Utilizing piezoresistive effects, a hearing aid with a detection sound threshold of 60 dB and a frequency range of 20–4000 Hz is achieved, which provides a feasible scheme in hearing aids.…”
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FETrack: Feature-Enhanced Transformer Network for Visual Object Tracking by Hang Liu, Detian Huang, Mingxin Lin

“…Then, we employ a sequence-learning-based causal transformer in the decoder to generate the bounding box autoregressively, simplifying the prediction head network. …”
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