Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity by Taoreed O. Owolabi, Kabiru O. Akande, Sunday O. Olatunji

“…This work develops a model, superconducting transition temperature estimator (STTE), that directly estimates TC of disordered MgB2 superconductors using room temperature resistivity as input to the model. …”
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CodonTransformer: a multispecies codon optimizer using context-aware neural networks by Adibvafa Fallahpour, Vincent Gureghian, Guillaume J. Filion, Ariel B. Lindner, Amir Pandi

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DBN Classifier for Classification of Benign and Malignant Solitary Pulmonary Nodule by LIU Lu, YANG Pei-liang, SUN Wei-wei, ZHOU Yang, ZHAO Hong-yuan

“…The proposed DBN model and SVM model based on the texture features and multi-resolution histogram features were compared in the absence of consideration of the medical symbol，the DBN model for high identification accuracy of 86% ，the classification performance of a SVM classifier have significantly improved．…”
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ENSURING PERSONNEL SAFETY OF A COMMERCIAL BANK: FORMATION AND CHOICE OF MANAGEMENT SCENARIOS by I. M. Vyadrova, I. V. Pasechnik, N. L. Morozova, T. Novikova, S. Viazovyi

“…The model implementation selecting the strategy to ensure personnel security is based on the construction of the strategic priorities vector to be built on the appropriate coordinate system based on the calculated estimates for each of the studied components. …”
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Resilience in Flux: Unraveling the Shifted Policy Narratives and Norms of Urban Planning in Toulouse, France by Louise Edrei

“…The exponential mobilization of the resilience concept, driven by its demonstrated relevance in scientific research, has led to its broad application, but this can result in interpretations and uses that stray from its original theoretical underpinnings, potentially being exploited for political purposes. This work acts as a vector for norms that lead planners to oscillate between the logics of depoliticization and politicization. …”
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Artificial intelligence driven mental health diagnosis based on physiological signals by P.R. Naregalkar, A.A. Shinde, M.V. Patil

“…With this aim, stress is being monitored in this work with the help of physiological signals. This work uses a machine learning approach to detect a subject in stressed and non-stressed situations. …”
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Real-Time Football Match Prediction Platform by An Zhongqi

“…The platform employs machine learning models, including Random Forest, Support Vector Machines (SVM), and Neural Networks, combined with feature engineering techniques, to generate accurate predictions. …”
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A Tale of Two Cities (and Three Men): Armenians in Rome and Ancona, 1560s‑1580s by Cesare Santus

“…These two types of mobility came together thanks to the representative of a third, main vector of circulation, which was primarily religious in nature: Giulio Antonio Santori, cardinal of Santa Severina, used Moratto’s money and Marco Antonio Abagaro’s work to build a church and hospice for Armenian pilgrims in Ancona (1580), on the model of the one established in Rome a few years earlier. …”
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Neural quantum kernels: Training quantum kernels with quantum neural networks by Pablo Rodriguez-Grasa, Yue Ban, Mikel Sanz

“…However, in both approaches, the model is influenced by the choice of the embedding. …”
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Gravity-Mediated Dark Matter at a low reheating temperature by Hyun Min Lee, Myeonghun Park, Veronica Sanz

“…This work opens new possibilities for the phenomenology of GMDM.…”
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On the spectrum of moderated neutrons emitted by the isotropic source in the gas fuel by V. O. Tarasov, S. A. Chernezhenko, A. O. Kakaev, O. D. Berezovskiy, V. V. Voytenko

“…Analytical formula for the equation of the neutron scattering for isotropic neutron source, which includes the temperature of the moderating medium as the parameter, was first obtained in the given work in the framework of gas model of the medium. …”
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CTLL: A Cell-Based Transfer Learning Method for Localization in Large Scale Wireless Sensor Networks by Zhanyong Tang, Jie Zhang, Xiaoqing Gong, Xiaohua Cheng, Xiaojiang Chen, Dingyi Fang, Wei Wang

“…The method combines samples transfer learning and SVR (Support Vector Regression) regression model to get a better performance of localization. …”
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Regional variation in the landscape ecology of West Nile virus sentinel chicken seroconversion in Florida. by Yasmin Tavares, Jonathan Day, Bryan V Giordano, Bradley Eastmond, Nathan Burkett-Cadena, Robert P Guralnick, Estelle Martin, Lindsay P Campbell

“…How landscape composition and configuration impact the distribution of multi-vector and multi-host mosquito vector-borne disease systems, such as West Nile virus (WNV), remains challenging because of complex habitat and resource requirements by hosts and vectors that affect transmission opportunities. …”
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Monocular Vision-inertial Fusion Approach for MAV State Estimation by RU Xiangyu, JIN Chao, PAN Chengfeng, XU Chao

“…The ARTags were used to obtain pose estimation, and the result was used as the observation of the algorithm. The dynamic model based on IMU was established, and the visual result was added to the state vector for iterations. …”
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COMPARISON OF SARIMA, SVR, AND GA-SVR METHODS FOR FORECASTING THE NUMBER OF RAINY DAYS IN BENGKULU CITY by Novi Puspita, Farit Mochamad Afendi, Bagus Sartono

“…The criteria for selecting the best model used was Mean Absolute Deviation (MAD). The MAD value in the SARIMA method was 4,16, 5,07 in the SVR model, and 3,67 in the GA-SVR model. …”
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Micro-spring force sensors using conductive photosensitive resin fabricated via two-photon polymerization by Ningning Hu, Yucheng Deng, Lujia Ding, Lijun Men, Wenjun Zhang, Ruixue Yin

“…To accelerate parameter optimization, a support vector machine model was trained to predict polymerization outcomes based on laser conditions and material compositions, achieving a prediction accuracy of 92.66%. …”
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Holistic Pose Estimation and Dynamic Motion Analysis for Telerehabilitation of Physically Disabled Individuals by Aleena Kamal, Shaheryar Najam, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Bayan Alabdullah, Jeongmin Park

“…The proposed pipeline begins with depth image preprocessing, followed by human detection using a pre-trained Histogram of Oriented Gradients (HOG)-Support Vector Machine (SVM) model. The human silhouette is segmented using the GrabCut algorithm, enabling robust region-of-interest extraction. …”
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Research on graph-based heterogeneous data integration method by HUANG Yuezhen, YANG Fen, TIAN Feng, ZHANG Chengye, LI Yuchan

“…Based on the node vectors, the node mapping relationship of any two graphs that need to be matched can be calculated. …”
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Research on graph-based heterogeneous data integration method by HUANG Yuezhen, YANG Fen, TIAN Feng, ZHANG Chengye, LI Yuchan

“…Based on the node vectors, the node mapping relationship of any two graphs that need to be matched can be calculated. …”
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Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis by Prabin B Lamichhane, Hannah Mannering, William Eberle

“…We believe that understanding intrusion patterns can aid in the prevention of future attacks. In this work, we use the ARMA model for statistical analysis. …”
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