A deep neural network for tactile perception in open scenes by Huirong Fang, Qianhui Yang, Kunhong Liu, Xiangyi Huang, Yu Xie

“…Compared with other machine learning algorithms, experiments show that the proposed method overcomes the problem of data drift caused by changes in posture, contact force, sliding velocities, exploratory motions, and assembly conditions.…”
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Indoor environmental quality assessment based on Interval-Valued Intuitionistic Fuzzy Linguistic Term Set TOPSIS method by Zhiyuan Tu, Mengdi Xu, RuFei Ma, Min Li, Hao Xu

“…We define a new score function for comparing two or more different IVIFLTS, along with the proof of the algorithm and properties of IVIFLTS. During the aggregation process, the IVIFLTS geometric weighted average operator is proposed, and the definition of the IVIFLTS distance metric is given considering the structure and characteristics of IVIFLTS. …”
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HIGH SPEED RAILWAY LINES – FUTURE PART OF CZECH RAILWAY NETWORK? by Lukáš Týfa, David Vodák

“…The core of the paper is comprised of the methodology for choosing the best route for a railway line and its application to the high speed railway connection Praha – Brno. The Algorithm used assumes the existence of more route proposals, which could be different in terms of the operational conception, line routing or types of vehicles used. …”
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Problematic Issues of Forensic Examinations in the Detection and Investigation of Crimes on Illicit Trafficking of Narcotic Drugs of Plant Origin by Azat R. Miftakhov

“…To counteract the illegal trafficking of narcotic plants, the author proposes measures to improve the operational algorithms of experts’ actions when investigating herbal narcotic drugs. …”
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Enhanced Category-Feature Association Measure by Soran S. Badawi, Ari M. Saeed, Sara A. Ahmed, Diyari A. Hassan

“…The comparison is done on two important datasets, Reuters-21578 and 20-Newsgroups, through two widely employed supervised machine learning classifiers and one deep learning algorithm. Throughout our experiments, we investigate the feature sizes in nine different feature sets, ranging from 50 to 4000. …”
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In the Refractory Hypertension “Labyrinth”. Focus on Primary Hyperaldosteronism by O. V. Tsygankova, T. I. Batluk, L. D. Latyntseva, E. V. Akhmerova, N. M. Akhmedzhanov

“…The success of a treatment and a prognosis of these patients depend on correct choice of screening (aldosterone/renin ratio) and clarifying diagnostic methods. There are clear algorithms for conducting these tests in accordance with Russian and International recommendations in the respective groups of patients. …”
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An intelligent simplification method for river networks with an unsupervised variational autoencoder by Di Wang, Haizhong Qian, Xiao Wang, Limin Xie, Yue Chen, Linghui Kong

“…The experimental results showed that compared with the classical Douglas-Peucker, Wang-Müller, and Visvalingam-Whyatt algorithms, this method was superior in terms of preserving the overall structure, position, shape, and local morphology of the simplified river network.…”
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A framework based on mechanistic modelling and machine learning for soil moisture estimation by Sabri Kanzari, Sana Ben Mariem, Samir Ghannem, Safouane Mouelhi, Hiba Ghazouani, Bechir Ben Nouna

“…These values were used as inputs to the Hydrus 1D model to generate soil water content profiles over a 27-year period. 109 profiles were calculated using machine learning algorithms (regression trees; random forest; support vector machine) to predict soil moisture content from daily values of rainfall and evaporation. …”
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Identification and Characterization of Fiber Optic Imaging Bundle Structures in Endoscopic Fringe Projection Systems by Jannis Drangmeister, Markus Kästner, Eduard Reithmeier

“…By recording the intensity curves, the presented algorithm is able to adapt the fringe pattern in orientation and intensity. …”
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Bioinspired morphology and task curricula for learning locomotion in bipedal muscle-actuated systems by Nadine Badie, Firas Al-Hafez, Pierre Schumacher, Daniel F. B. Haeufle, Jan Peters, Syn Schmitt

“…Our approach is agnostic to the underlying RL algorithm and does not require reward tuning, demonstrations, or specific muscular architecture information, marking a notable advancement in the field.…”
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Co-benefits for cropland yield, nitrogen emissions, and climate impact through multi-objective optimization agricultural manure solutions by Yinghua Yin, Shufang Guo, Qiyu Xu, Jian Liu, Hongyuan Wang, Yanhua Zhuang, Zhen Wang, Lingling Hua, Hongbin Liu, Limei Zhai

“…Here, we employed genetic algorithms and meta-analysis to obtain an optimal substitution rate for major crops in China. …”
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Integrating emotional AI, IoT, and robotics for patient-centered healthcare: challenges and future directions by Nassim Bout, Ghizlane Moukhliss, Hicham Belhadaoui, Nadia Afifi, Mounia Abik

“…While these technologies offer substantial potential for scalable and responsive care, challenges persist—including data privacy, algorithmic bias, interoperability constraints, and affordability in under-resourced settings. …”
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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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THE COMPLEX OF INFORMATIVE IMMUNOLOGICAL PARAMETERS FOR BREAST CANCER OUTCOME PROGNOSIS by M. N. Stakheyeva, A. P. Serykh, S. I. Karas, E. A. Perina

“…The “next neighbor” algorithm was used for identification of informative parameters. …”
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DOF Enhanced via the Multi-Wavelength Method for the Moiré Fringe-Based Alignment by Kairui Zhang, Haifeng Sun, Dajie Yu, Song Hu, Junbo Liu, Ji Zhou

“…Then, we use the improved phase analysis algorithm to analyze the contrast of the Moiré fringe and calculate the Moiré fringe displacement. …”
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Robust screening of atrial fibrillation with distribution classification by Pierre-François Massiani, Lukas Haverbeck, Claas Thesing, Friedrich Solowjow, Marlo Verket, Matthias Daniel Zink, Katharina Schütt, Dirk Müller-Wieland, Nikolaus Marx, Sebastian Trimpe

“…This establishes our algorithm as a relevant candidate for screening campaigns.…”
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In Situ XOR Encryption for Lightweight Security Using Nanoelectromechanical Physically Unclonable Functions by Changha Kim, Jin Wook Lee, Geun Tae Park, Myeong Su Shin, Seung Hun Baek, Jae Seung Woo, Woo Young Choi

“…This feature of NEM‐PUF‐based in situ XOR encryption eliminates the need for complex cryptographic algorithms, which significantly reduces the power consumption, footprint, and latency compared with conventional cryptography schemes. …”
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A Spatiotemporal U-Net-Based Data Preprocessing Pipeline for Sun-Synchronous Path Planning in Lunar South Polar Exploration by Yang Chen, Guangfei Wei, Hao Zhang, Jianfeng Lu, Fuchuan Pang

“…Subsequently, an enhanced A* algorithm named 3ST-A*, leveraging preprocessed data, is applied in a designated area of interest for global path-planning experimental validation. …”
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Development and validation of a predictive model for new HIV infection screening among persons 15 years and above in primary healthcare settings in Kenya: a study protocol by Simon Karanja, Amos Otieno Olwendo, Gideon Kikuvi

“…Inferential analysis will be conducted using algorithms that perform best in disease prediction: Extreme Gradient Boosting (XGBoost) and Multilayer Perceptron. …”
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Pollen holographic images and light-induced fluorescence measurements at the species level by Sophie Erb, Alexis Berne, Bernard Clot, Maria Lbadaoui-Darvas, Gian-Duri Lieberherr, Marie-Pierre Meurville, Fiona Tummon, Benoît Crouzy

“…These data are meant to be used as the basis for training new pollen identification algorithms that will make use of fluorescence measurements. …”
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