Clustering and Investigation of Human Driving Behavior Using Autoencoder and Risk Assessment by Donghoon Shin, Jinhee Myoung, Woongsun Jeon, Kang-Moon Park

“…To address this, we utilize an autoencoder and human-centered risk assessment algorithms to investigate human driving behavior and collision risk. …”
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The Application of Reinforcement Learning to Pumps—A Systematic Literature Review by Adetoye Ayokunle Aribisala, Usama Ali Salahuddin Ghori, Cristiano A. V. Cavalcante

“…Future trends include the use of Internet-of-Things sensors on pumps, a hybrid of model-free and model-based reinforcement learning algorithms, and the development of “weighted” models. …”
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Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising by Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, Rifai Chai

“…Evaluating the results of image denoising algorithms in Computed Tomography (CT) scans typically involves several key metrics to assess noise reduction while preserving essential details. …”
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Vertically Moving Target Localization Based on Interference Feature Matching Using a Single Hydrophone by Chunpeng Zhao, Guolong Liang, Longhao Qiu, Jinjin Wang, Wenfeng Dong

“…To address the performance degradation of traditional underwater target localization algorithms in high-speed motion scenarios, this paper proposes a vertically moving localization method based on interference feature matching using a single hydrophone. …”
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Recent Advances in Smart Phone-Based Biosensors for Various Applications by Enpeng Xing, Hongfei Chen, Xianglin Xin, Haoran Cui, Yanzhi Dou, Shiping Song

“…Importantly, coupled with cloud computing and artificial intelligence algorithms, smart phone-based biosensors enable real-time and dynamic testing and monitoring. …”
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Impact of Airborne Radio Occultation Observations on Short Term Precipitation Forecasts of an Atmospheric River by Phuong‐Nghi Do, Jennifer S. Haase, Ivette Hernández Baños, Pawel Hordyniec, Bing Cao

“…Experiments use the Local Ensemble Transform Kalman Filter and Three‐Dimensional Ensemble‐Variational algorithms. The control experiment assimilates only global conventional data, while the other experiments incorporate additional ARO observations. …”
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Adaptive Fractional Order Control for Bispectral Index Regulation During Anaesthesia by Alin-Ciprian Malița, Cristina Ioana Muresan, Manuel A. Duarte-Mermoud, Gustavo Ceballos Benavides

“…Most existing control algorithms are tuned using a nominal patient model and inter-patient variability is tackled by incorporating robustness in the controller design. …”
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Experts fail to reliably detect AI-generated histological data by Jan Hartung, Stefanie Reuter, Vera Anna Kulow, Michael Fähling, Cord Spreckelsen, Ralf Mrowka

“…Here, we use stable diffusion, one of the most recent generative algorithms, to create such a set of artificial histological samples. …”
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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices by Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios

“…They harness mechanical energy while enabling self‐sustaining sensing for self‐powered devices. …”
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A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods by Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti

“…Causal discovery (CD) algorithms are increasingly applied to socially and ethically sensitive domains. …”
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D-pinitol modulates the anti-emetic effects of aprepitant, domperidone, and ondansetron in chicks by Md. Elit Rahman, Md. Anisur Rahman, Salehin Sheikh, Md. Jannatul Islam Polash, Sozoni Khatun, Mst. Sonia Akter Bristi, Md. Showkoth Akbor, Mst. Farjanamul Haque, Mehedi Hasan Bappi, Tohidul Islam Tanim, Siddique Akber Ansari, Irfan Aamer Ansari, Elaine Cristina Pereira Lucetti, Carolina Bandeira Domiciano, Henrique D.M. Coutinho, Muhammad Torequl Islam

“…Additionally, A variety of computational algorithms were used to visualise ligand–receptor interactions and quantify the binding affinities of DPL and other ligands towards the dopamine receptors (D2 and D3), muscarinic acetylcholine receptors (M1–M5), and serotonin receptor (5HT3). …”
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Broadband SAR Imaging Based on Narrowband Dense False Target Jamming by Gaogao Liu, Ziyu Huang, Haoran Pan, Qidong Zhang, Jiangbo Zhu

“…Theoretical analysis and numerical simulations indicate that narrowband DFTJSs using phase modulation can achieve high-resolution imaging of specific target areas while causing interference to non-cooperative radar (NCR).…”
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Deep‐NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data by Gengbo Liu, Logan Brooks, John Canty, Dan Lu, Jin Y. Jin, James Lu

“…Although the existing NCA algorithms are very well‐established and widely utilized, they suffer from low accuracies in the setting of sparse PK samples. …”
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Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection by Jacek Wodecki, Justyna Hebda-Sobkowicz, Adam Mirek, Radosław Zimroz, Agnieszka Wyłomańska

“…The main objectives of algorithms in finding P-wave are high accuracy, reasonable time of operation, and automatic detection of wave arrival. …”
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Lightweight network for insulator fault detection based on improved YOLOv5 by Dehua Weng, Zhiliang Zhu, Zhengbing Yan, Moran Wu, Ziang Jiang, Nan Ye

“…Current fault diagnosis methods heavily depend on manual visual inspection, leading to inefficiency and inaccuracies. While computer vision algorithms have been developed, their high requirements for running environments limit their applicability on edge devices. …”
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TSTBench: A Comprehensive Benchmark for Text Style Transfer by Yifei Xie, Jiaping Gui, Zhengping Che, Leqian Zhu, Yahao Hu, Zhisong Pan

“…TSTBench includes a codebase encompassing implementations of 13 state-of-the-art algorithms and a standardized protocol for text style transfer. …”
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scICE: enhancing clustering reliability and efficiency of scRNA-seq data with multi-cluster label consistency evaluation by Hyun Kim, Issac Park, Jong-Eun Park, Jong Kyoung Kim, Minseok Seo, Jae Kyoung Kim

“…By enabling the focus on a narrower set of more reliable candidate clusters, users can greatly reduce computational burden while generating more robust results.…”
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Towards Less Invasive Instruments For Cardiac Tissue Stabilizing by Moenkemoeller Raphael, Budde Leon, Martin Ulrich, Martens Andreas, Seel Thomas

“…The extended stabilizer is found to stabilize a 110% larger area while achieving similar motion amplitude reduction. …”
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Aberrant gene expression prediction across human tissues by Florian R. Hölzlwimmer, Jonas Lindner, Georgios Tsitsiridis, Nils Wagner, Francesco Paolo Casale, Vicente A. Yépez, Julien Gagneur

“…Abstract Despite the frequent implication of aberrant gene expression in diseases, algorithms predicting aberrantly expressed genes of an individual are lacking. …”
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Prediction of tea leaf characteristics using spectral data and machine learning techniques by Sum Tateh, Suyog Balasaheb Khose, Damodhara Rao Mailapalli, Chandranath Chatterjee, Narendra Singh Raghuwanshi

“…Support vector machine and Decision tree classifiers accurately identified infested leaves based on LCC and sugar contents, while logistic regression classifier classifies disease well using vegetation indices. …”
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