Metasurface-Refractive Hybrid Lens Modeling with Vector Field Physical Optics by Ko-Han Shih, C. Kyle Renshaw

“…Ray-path diffraction is automatically considered in this method, and complex input wavefront can be modeled as well. …”
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Worst-Case Input Generation for Concurrent Programs under Non-Monotone Resource Metrics by Long Pham, Jan Hoffmann

“…Worst-case input generation aims to automatically generate inputs that exhibit the worst-case performance of programs. …”
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Peranan Musyawarah Guru Mata Pelajaran (MGMP) Sebagai Organisasi Pembelajar terhadap Peningkatan Kompetensi Guru Bidang Studi by Erika Ambarita, Yohana F. Cahya Palupi Meilani, Albert Surya Wanasida

“…The teacher community in an educational unit is needed by teachers, because it is a place for learning to organize in teaching materials and improving the quality of teaching carried out in the classroom which automatically has an impact on increasing the compe- tence of the teachers themselves. …”
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Estética en la argumentación: retórica visual || Aesthetics in the Argumentation: Visual Rhetoric by Tasia Aránguez Sánchez

“…Normalmente la teoría de la argumentación se centra en los elementos reductibles a estructuras (como las “formas lógicas”) en perjuicio de los elementos estéticos, que se perciben como ornamentales, terreno de automatismos y manipulaciones. El presente trabajo reivindica la centralidad de dichos elementos y muestra cómo su carácter sensible es el soporte vivencial sobre el que se construye toda comunicación. …”
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RFID-Based Real-Time Salt Concentration Monitoring with Adaptive EKF by Renhai Feng, Xinyi Lin

“…The AEKF algorithm avoids computationally expensive inversion of complex observation equations while automatically adjusting noise covariance matrices via innovation sequence. …”
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4KSecure: A Universal Method for Active Manipulation Detection in Images of Any Resolution by Paweł Duszejko, Zbigniew Piotrowski

“…This paper presents a method for actively safeguarding image integrity based on embedding a hidden signature generated by a neural network. …”
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A quality-of-service evaluation method based on the cloud model for routing protocols in wireless sensor network by Wenxian Jiang, Chenzhe Gu, Jingjing Wu

“…In addition, existing quantitative evaluation methods can lead to under-fitting or over-fitting. In this article, we present a comprehensive qualitative quality-of-service evaluation method based on the cloud model. …”
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AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…The pipeline uses Biopython to automatically retrieve different genomic sequences from the NCBI database to increase the robustness of the subsequent primer design. …”
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New Approach to Planning and Forming of Current Costs for Infrastructure Repairs Based on the Normative Method by D. S. Rubchenko

“…The article presents the relevance of planning and forming enlarged norms of current costs for rail infrastructure repairs and maintenance, differentiated by class of lines and specialization of facilities: track and engineering structure, automatics and telematics, electrification and power supply. …”
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EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA by Anton Vrieling, Silvio C. Rodrigues, C. Rodrigues(2) Geert Sterk

“…Both factors were automatically classified based on their relative susceptibility to erosion. …”
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Kinematic calibration of serial robots using low-cost tools by Luz Adriana Mejía-Calderón, Carlos Alberto Romero-Piedrahita, Cristhian David Borrero-Velez

“… This paper presents the kinematic calibration of an open-chain robot using low-cost tools to measure the position of its end-effector. …”
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Optimizing Personalized Recommender Systems for Teachers’ Digital Learning Models Using Deep Learning Algorithms by Jun Zhong, Wenjuan Zhang

“…Additionally, a graph convolutional neural network (GCN) is employed, leveraging the sequential relationships between subject knowledge points to automatically capture semantic information from the higher-order structure of knowledge points, thereby enabling personalized recommendations. …”
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Learning about causal relations that change over time: primacy and recency over long timeframes in causal judgments and memory by Benjamin M. Rottman, Yiwen Zhang

“…The experiment was conducted with a typical procedure in which the learning cases were presented rapidly, and with a mobile phone procedure, in which participants experienced the cause–effect relation over 24 days. …”
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Modern Approaches to Detect and Classify Comment Toxicity Using Neural Networks by Sergey V. Morzhov

“…Of course, such a large amount of information can be processed quite quickly only automatically. that is why there is a need to and a way to teach computers to “understand” a text written by humans. …”
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Precision Healthcare for UTIs: Leveraging Machine Learning to Reduce Readmissions by Odai Mohammad Al-Jbour, Mohammad Alshraideh, Bahaaldeen Alshraideh

“…The study introduces a novel method that employs machine learning to automatically extract features from patient data, eliminating labor-intensive manual feature engineering. …”
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A comparative study of machine learning classifiers for intelligent fault diagnosis of electric vehicles based on FMECA data by Leila Boucerredj, Nadir Benalia

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Design and Prototype of an Industrial Monitoring and Protection System. by Nabusha, Alice

“…This project presents the design and prototyping of an Industrial Monitoring and Protection System aimed at ensuring the safety and operational efficiency of industrial environments. …”
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Building an end-to-end battery recipe knowledge base via transformer-based text mining by Daeun Lee, Hiroshi Mizuseki, Jaewoong Choi, Byungju Lee

“…Abstract Recent studies have increasingly applied natural language processing to automatically extract experimental information from battery materials literature. …”
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Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions by Jinrui Wang, Shanshan Ji, Baokun Han, Huaiqian Bao, Xingxing Jiang

“…Inspired by generative adversarial networks (GAN) and domain adversarial training of neural networks (DANN), this study presents a novel deep adaptive adversarial network (DAAN). …”
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Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain by Manuel J. García Rodríguez, Vicente Rodríguez Montequín, Francisco Ortega Fernández, Joaquín M. Villanueva Balsera

“…A bidders recommender would be a very beneficial tool because a supplier (company) can search appropriate tenders and, vice versa, a public procurement agency can discover automatically unknown companies which are suitable for its tender. …”
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