Remote sensing monitoring of wheat aphids by combining HJ satellite images with least squares twin support vector machine model by HU Gensheng, WU Wentian, LUO Juhua, HUANG Wenjiang, LIANG Dong, HUANG Linsheng

“…The LSTSVM has a good processing ability for large scale unbalanced data and has stronger robustness than the traditional support vector machine (SVM) . Computational complexity of LSTSVM is reduced by using the least squares algorithm to transform inequality constraints into equality constraints.Experimental results showed that: the overall monitoring accuracy of the LSTSVM model was 86.4% and the Kappa coefficient was 0.71; the traditional SVM model was 77.3% and 0.52; the Fisher linear discriminant analysis (FLDA) model was 77.3% and 0.54; and the learning vector quantization (LVQ) neural network model was 72.7% and 0.39. …”
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Integrating Systematic Surveys With Historical Data to Model the Distribution of Ornithodoros turicata americanus, a Vector of Epidemiological Concern in North America by Sebastian Botero‐Cañola, Carson Torhorst, Nicholas Canino, Lorenza Beati, Kathleen C. O'Hara, Angela M. James, Samantha M. Wisely

“…Our case example shows the utility of ISDMs in disease ecology studies and highlights the broad range of geographic suitability for this important disease vector. These results provide important foundational information to inform future risk assessment work for tick‐borne relapsing fever surveillance and potential ASF introduction and maintenance in the United States.…”
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Multi-Plane Virtual Vector-Based Anti-Disturbance Model Predictive Fault-Tolerant Control for Electric Agricultural Equipment Applications by Hengrui Cao, Konghao Xu, Li Zhang, Zhongqiu Liu, Ziyang Wang, Haijun Fu

“…Hence, this paper innovatively proposes a multi-plane virtual vector model predictive fault-tolerant control strategy that can achieve rapid and effective control of both the fundamental and harmonic planes while ensuring good dynamic stability performance. …”
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Machine Learning- and Deep Learning-Based Multi-Model System for Hate Speech Detection on Facebook by Amna Naseeb, Muhammad Zain, Nisar Hussain, Amna Qasim, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh

“…As far as we are aware, this is the first work that investigates QLoRA for fine-tuning large models for the task of offensive language detection in Roman Urdu.…”
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Analysis of velocity and pressure vector distribution fields in a three-dimensional plane around a wind power plant by А.Р. Бахтыбекова, Н.К. Танашева, Н.Н. Шуюшбаева, Л.Л. Миньков, Н.К. Ботпаев

“…The Realizable k-ε is chosen as the turbulence model. A thorough analysis of the velocity vector distribution fields for flow and pressure velocities in the three-dimensional plane around the wind wheel at air flow velocities of 5.10 and 15 m/s is carried out. …”
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Addition, alteration, reconstruction. Three models of adaptive re-use by Marco Russo

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A novel ensemble deep learning approach for detection and classification of onion diseases by Asrat Kibret Asnakew, Belay Enyew Chekol, Melaku Bitew Haile, Andargie Geteneh Tegegne, Abebech Jenber Belay

“…As a future work, increasing the dataset size and the scope to include other types of onion diseases will improve the robustness and necessity of the model.…”
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Hadronic decay of vector charmonium from the lattice by Benoît Blossier, Jochen Heitger, Jan Neuendorf, Teseo San José

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AAV vectors trigger DNA damage response-dependent pro-inflammatory signalling in human iPSC-derived CNS models and mouse brain by Helena Costa-Verdera, Vasco Meneghini, Zachary Fitzpatrick, Monah Abou Alezz, Emily Fabyanic, Xin Huang, Yulia Dzhashiashvili, Avantika Ahiya, Elisabeth Mangiameli, Erika Valeri, Giovanni Crivicich, Silvia Piccolo, Ivan Cuccovillo, Roberta Caccia, Ying Kai Chan, Bérangère Bertin, Giuseppe Ronzitti, Esteban A. Engel, Ivan Merelli, Federico Mingozzi, Angela Gritti, Klaudia Kuranda, Anna Kajaste-Rudnitski

“…Our work uncovers vector-induced innate immune mechanisms that contribute to cell death. …”
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Technical Systems Under Stress: New Lifespan Models and Calculation Methods by Mine Doğan, Mehmet Gürcan

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Structural Characteristics of Rotate Vector Reducer Free Vibration by Chuan Chen, Yuhu Yang

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Lightweight Road Environment Segmentation using Vector Quantization by J. Kwag, A. Yilmaz, C. Toth

“…In this work, we combined vector quantization with the lightweight image segmentation model MobileUNETR and used it as a baseline model for comparison to demonstrate its efficiency. …”
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Fidex and FidexGlo: From Local Explanations to Global Explanations of Deep Models by Guido Bologna, Jean-Marc Boutay, Damian Boquete, Quentin Leblanc, Deniz Köprülü, Ludovic Pfeiffer

“…Deep connectionist models are characterized by many neurons grouped together in many successive layers. …”
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Word-embedding Based Text Vectorization Using Clustering by Vitaly I. Yuferev, Nikolai A. Razin

“…It is known that in the tasks of natural language processing, the representation of texts by vectors of fixed length using word-embedding models makes sense in cases where the vectorized texts are short.The longer the texts being compared, the worse the approach works. …”
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Research on the Gas Emission Quantity Prediction Model of Improved Artificial Bee Colony Algorithm and Weighted Least Squares Support Vector Machine (IABC-WLSSVM) by Lei Wang, Jinghang Li, Wenbo Zhang, Yu Li

“…In order to further accurately predict gas emission of working face, this paper proposes a prediction model of gas emission of working face based on the combination of improved artificial bee colony algorithm and weighted least squares support vector machine (IABC-WLSSAVM). …”
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MODEL OF THE CONTROL SYSTEM ROCKING MACHINES OF OIL THE BASIC OF A SYNCHRONOUS ENGINES WITH THE SENSORLESS METHOD by T. I. Petrov, A. R. Safin, I. V. Ivshin, A. N. Tsvetkov, V. Yu. Kornilov

“…Mathematical models of all elements of the control station are presented: rocking machine, synchronous motor, vector control system.…”
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MODELING THE TRANSFER EFFECT OF EXCHANGE RATE ON PRICES IN RUSSIA by M. G. Tiunova

“…The method of econometric modelling is used to quantify the observed effects. …”
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Modeling Radiofrequency Electromagnetic Field Wearable Distributed (Multi-Location) Measurements System for Evaluating Electromagnetic Hazards in the Work Environment by Krzysztof Gryz, Jolanta Karpowicz, Patryk Zradziński

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Spoof speech classification using deep speaker embeddings and machine learning models by Mohammed Hamzah Alsalihi, Dávid Sztahó

“…We leverage four state-of-the-art speaker embedding models: X-vector, Emphasized channel attention, propagation and aggregation in time delay neural network (ECAPA-TDNN), Residual Network-Time Delay Neural Network (ResNet-TDNN), and WavLM, used in both pre-trained and fine-tuned forms, to extract speaker-discriminative features from speech signals. …”
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An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention by Chengbin Zeng, Liang Zhang

“…In addition, our proposed algorithm effectively mitigates distortions in facial and textual regions while preserving the structural integrity and visual fidelity. In future work, we plan to improve the model’s robustness under low-light conditions and enhance compression efficiency through lightweight optimization techniques, enabling broader real-world deployment.…”
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