String-to-Dependency Statistical Machine Translation by Libin Shen, Jinxi Xu, Ralph Weischedel

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Real-Time Stringing Detection for Additive Manufacturing by Oumaima Charia, Hayat Rajani, Inés Ferrer Real, Miquel Domingo-Espin, Nuno Gracias

“…This study explores the implementation of traditional computer vision, image processing, and machine learning techniques to enable real-time error detection, specifically focusing on stringing-related anomalies. …”
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Measurement and Application of Track Long String Based on Fixed Points by LIU Tiejun

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Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning by Mostafa Rezapour, Aarthi Narayanan, Wyatt H. Mowery, Metin Nafi Gurcan

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Numerical Polynomial Homotopy Continuation Method and String Vacua by Dhagash Mehta

“…Finding vacua for the four-dimensional effective theories for supergravity which descend from flux compactifications and analyzing them according to their stability is one of the central problems in string phenomenology. Except for some simple toy models, it is, however, difficult to find all the vacua analytically. …”
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Development of intelligent traction machine for tensioning and paying off construction of transmission lines by Xiaobin Li, Shuo Wang, Feng Wang, Riping Zheng, Zixin Li, Hongbing Wen

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Real-time lithology identification while drilling based on drilling parameters analysis with machine learning by Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Chunmiao Liang

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Autoencoder-driven clustering of intersecting D-brane models via tadpole charge by Keiya Ishiguro, Satsuki Nishimura, Hajime Otsuka

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NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples by Arezo Torang, Simone van deWeerd, Veerle Lammers, Sander vanHooff, Inge van denBerg, Saskia van denBergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema

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Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…This study presents a novel hybrid framework that effectively integrates string kernel approaches with deep contextual embeddings from state-of-the-art transformers for robust AI-generated text detection. …”
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LRS Bianchi Type-I String Cosmological Models in fQ Gravity by Mukesh Kumar, Manvinder Singh, Mohit Bajaj, Hossam Kotb, Djeudjo Temene Hermann

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Dextrosinistral reading of SMILES notation: Investigation into origin of non-sense code from string manipulations by Anup Paul

“…The SMILES notation provides a digital way to represent any chemical structure in the form of a string of ASCII characters, therefore, a preferred data medium for machine learning models. …”
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Uplifts in the penumbra: features of the moduli potential away from infinite-distance boundaries by Stefano Lanza, Alexander Westphal

“…Abstract The construction of meta-stable four-dimensional de Sitter vacua in type IIB string compactifications represents an important question and an ongoing area of work. …”
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A Lightweight, Simple-Structure, Low-Cost and Compliant Twisted String Actuator Featuring Continuously Variable Transmission by Chanchan Xu, Tong Liu, Shuai Dong, Yucheng Wang, Xiaojie Wang

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cymyc: Calabi-Yau Metrics, Yukawas, and Curvature by Giorgi Butbaia, Damián Mayorga Peña, Justin Tan, Per Berglund, Tristan Hübsch, Vishnu Jejjala, Challenger Mishra

“…Abstract We introduce cymyc, a high-performance Python library for numerical investigation of the geometry of a large class of string compactification manifolds and their associated moduli spaces. …”
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Application of modern drilling machines in transport construction by Grinchar N.G., Shoshin A.S., Chalova M.Yu.

“…This article discusses the use of modern drilling machines, provides a comparison of a tractor drilling rig with a mechanical drive of a drill string with a machine with a hydraulic drive, lists the factors confirming the feasibility of using a hydraulic drive of a drilling string, examines the results of tests of drilling various rocks, as well as the effect of rock structure on vibrations pressure and increase in the flow rate of hydraulic fluid in the drive system of the machine.…”
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Machine learning for active sites prediction of quinoline derivatives by Jie Sun, Zi-Hao Li, Yi-Fei Yang, Shu-Yu Zhang

“…In an 80/10/10 training/validation/testing split of 2467 compounds, the model takes SMILES strings as input format and uses six quantum chemical descriptors to identify reactive site(s) of the compound. …”
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Comparison of reduced and geared hydraulic drives of transport construction machines by Grinchar N.G., Shoshin A.S., Chalova M.Yu.

“…The traditional design consequence of the drilling string drive of the machine is the use of a low-torque hydraulic motor with a gearbox. …”
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Bioinformatics and machine learning-driven key genes screening for vortioxetine by Sabire Kılıçarslan, Meliha Merve Hız

“…After feature selection for the cleaned dataset, machine learning algorithms such as the K-nearest neighbors' algorithm, Naive Bayes, and Support Vector Machine (SVM) were used. …”
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Resilience evaluation of memristor based PUF against machine learning attacks by Hebatallah M. Ibrahim, Heorhii Skovorodnikov, Hoda Alkhzaimi

“…CMOS-based PUFs are the most popular type, they generate unique bit strings using process variations in semiconductor fabrication. …”
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