Ship Path Following and Collision Avoidance Based on Vector Field Guidance Law and Model Predictive Control by HE Yu, OUYANG Zilu, ZOU Lu, CHEN Weimin, ZOU Zaojian

“…Finally, a collision avoidance strategy based on the vector field guidance law is designed to enable the ship to avoid collision autonomously in the process of path following. …”
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Design of intelligent sprayer control for an autonomous farming drone using a multiclass support vector machine by Turnip Arjon, Taufik Mohammad

“…The use of autonomous farming drones to support the cultivation process is a rapidly growing trend. In an effort to improve efficiency and accuracy in watering using drones, this research strived to propose a control design for the drones using the multiclass support vector machine (MSVM) method. …”
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A Bayesian vector-autoregressive application with time-varying parameters on the monetary shocks–production network nexus by Mihaela Simionescu, Nicolas Schneider, Beata Gavurova

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Dynamics-Guided Support Vector Machines for Response Analysis of Steel Frame Under Sine Wave Excitation by Yao Wang, Huaiman Li

“…To address this issue, a novel dynamics-guided support vector machine (DG-SVM) method is proposed, which embeds an optimization process to reduce dependence on the time step size. …”
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Aplikasi Pengenalan Aksara Jepang Katakana Menggunakan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ) by Angga Pradana Saputra, Sukmawati Nur Endah

“…Aplikasi ini dikembangkan menggunakan jaringan syaraf tiruan learning vector quantization. Tahapan yang dimiliki oleh aplikasi ini yaitu melakukan pre-processing pada citra aksara, mengekstrak fitur citra menggunakan transformasi wavelet diskrit, menyimpan data vektor citra, melakukan pelatihan data, dan melakukan pengenalan terhadap citra yang dimasukkan. …”
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Implementation of Support Vector Machine - Recursive Feature Elimination for MicroRNA Selection in Breast Cancer Classification by Ratih Permatasari, Adi Wibowo

“…Support Vector Recursive Feature Elimination (SVM-RFE) is one of the feature selection method that can be used to select MicroRNA data. …”
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Construction of vector space and its application to facilitate bitwise XOR – Free operation to minimize the time complexity by Radhakrishna Dodmane, Ganesh Aithal, Surendra Shetty

“…The corresponding time complexity for the construction of the bitwise XOR vector space is computed by master theorem and is O(log2(n/2n)). …”
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A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization by Kabiru O. Akande, Taoreed O. Owolabi, Sunday O. Olatunji, AbdulAzeez Abdulraheem

“…In this work, a novel homogenous hybridization scheme is proposed for the improvement of the generalization and predictive ability of support vector machines regression (SVR). The proposed and developed hybrid SVR (HSVR) works by considering the initial SVR prediction as a feature extraction process and then employs the SVR output, which is the extracted feature, as its sole descriptor. …”
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Near-Infrared Spectroscopy Combined With Support Vector Machine Model to Realize Quality Control of Ginkgolide Production by Lei Liu, Jun Wang, Haiyi Bian, Ahmed N. Abdalla

“…This study addresses this concern by leveraging chemometric models, specifically partial least squares (PLS), support vector machine (SVM), and random forest, in conjunction with near-infrared spectroscopy (NIRS) data. …”
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PERBANDINGAN KERNEL SUPPORT VECTOR MACHINE (SVM) DALAM PENERAPAN ANALISIS SENTIMEN VAKSINISASI COVID-19 by Thalita Meisya Permata Aulia, Nur Arifin, Rini Mayasari

“…For this reason, a sentiment analysis of the COVID-19 vaccine will be carried out by taking data from Twitter, then classified using the Support Vector Machine algorithm. The research data is nonlinear data so it requires a kernel space for the text mining process, while there has been no specific research regarding which kernel is good for sentiment analysis, so a test will be carried out to find the best kernel among linear, sigmoid, polynomial, and RBF kernels. …”
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Winding Fault Detection in Power Transformers Based on Support Vector Machine and Discrete Wavelet Transform Approach by Bonginkosi A. Thango

“…This paper presents a novel diagnostic framework combining Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM) classification to improve the detection of TWFs. …”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…In this study, the LUSC datasets first undergo data pre-processing, including checking for missing values, normalization, and removing zero variance features. …”
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Elegante+: A Machine Learning-Based Optimization Framework for Sparse Matrix–Vector Computations on the CPU Architecture by Muhammad Ahmad, Sardar Usman, Ameer Hamza, Muhammad Muzamil, Ildar Batyrshin

“…Sparse matrix–vector multiplication (SpMV) plays a significant role in the computational costs of many scientific applications such as 2D/3D robotics, power network problems, and computer vision. …”
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Assessment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectroscopy and Optimized Support Vector Machine by Deliang Liu, Biao Lu, Wenping Wu, Wei Zhou, Wansu Liu, Yiye Sun, Shilong Wu, Guolong Shi, Leiming Yuan

“…A support vector machine (SVM) classifier was developed to discriminate between the Raman spectra and category labels. …”
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Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs by Minghao Wang, Yibin Zhou, Shenjun Yao, Jianping Wu, Minhui Zhu, Linjuan Dong, Dunjia Wang

“…These mosquitoes serve as the disease vectors, making their surveillance crucial for dengue prevention. …”
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Miniaturizable Phase-Sensitive Amplifier Based on Vector Dual-Pump Structure for Phase Regeneration of PDM Signal by Shuaiwei Jia, Zhuang Xie, Wen Shao, Xiaotian Han, Yulong Su, Jiacheng Meng, Duorui Gao, Wei Wang, Xiaoping Xie

“…The proposed scheme has promising applications in integrated all-optical processing systems and long-distance transmission of optical communications.…”
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pTripleTREP – A vector for tightly controlled expression and purification of virulence factors in Staphylococcus aureus by Hannes Wolfgramm, Christopher Saade, Marco Harms, Larissa M. Busch, Josephine Lange, Maximilian Schedlowski, Kristin Surmann, Manuela Gesell Salazar, Christian Hentschker, Leif Steil, Stephan Michalik, Uwe Völker, Alexander Reder

“…However, due to their potential toxicity and specific post-translational processing, virulence factors are difficult targets for heterologous protein production. …”
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Fourier Descriptor Pada Klasifikasi Daun Herbal Menggunakan Support Vector Machine Dan Naive Bayes by Mutmainnah Samir, Purnawansyah, Herdianti Darwis, Fitriyani Umar

“…This study utilizes Fourier Descriptor (FD) to extract features from herbal leaves and classify them using the Support Vector Machine (SVM) and Naive Bayes (NB) methods. …”
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Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

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TERRITORIAL DIMENSION OF FOREIGN POLICY OF SPAIN AT THE TURN OF XX–XXI CENTURY by A. A. Vartumyan

“…The article reveals the goals of foreign policy of Spain: substantiate foreign policy vectors; to show territorial dimension of foreign policy; to uncover strategy of external actions; to substantiate multilevel action line between Spain and the USA. …”
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