Microwave Photonic Links and Transversal Microwave Photonic Applications by Yunping Bai, Zhihui Liu, Mengmeng Duan, Jiaxue Feng, Xixi Xiong, Kelei Wei, Kainan Wu, Xiyao Jia, Ruilin Liao, Yuhang Song, Edwin Yue Bun Pun, Sha Zhu, Xingyuan Xu, Ning Hua Zhu, Kun Xu

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A Survey on Integration of Empathy Cues Into Empathetic Text Generation by Edwin C. Montiel-Vazquez, Christian Arzate Cruz, Jorge Adolfo Ramirez Uresti, Miguel Gonzalez Mendoza, Randy Gomez

Subjects: “…Affective computing…”
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Two-qubit gate protocols with microwave-dressed Rydberg ions in a linear Paul trap by Joseph W P Wilkinson, Katrin Bolsmann, Thiago L M Guedes, Markus Müller, Igor Lesanovsky

Subjects: “…quantum information processing…”
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Study of Contactless Computer Vision-Based Road Condition Estimation Methods Within the Framework of an Operational Design Domain Monitoring System by Ramakrishnan Subramanian, Ulrich Büker

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Characterizing social and ecological values expressed in US Forest Service public comments using a computational approach by Sarah K. MacFarland, Sonya Sachdeva, Spencer A. Wood, Joshua J. Lawler

“…This study introduces and applies a novel computational approach to inferring values in written text by using natural language processing and a method that combines a lexicon with semantic embedding models. …”
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Cognitive control of behavior and hippocampal information processing without medial prefrontal cortex by Eun Hye Park, Kally C O'Reilly Sparks, Griffin Grubbs, David Taborga, Kyndall Nicholas, Armaan S Ahmed, Natalie Ruiz-Péreza, Natalie Kim, Simon Segura-Carrillo, André A Fenton

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IMPROVEMENT AND STORAGE OF CONVENTIONAL MAMMOGRAPHY IMAGES USING TECHNIQUES OF DIGITAL IMAGE PROCESSING by Malana Almeida Silva, José Wilson Vieira, Isis Rosane Monteiro, Luiz Antônio Pereira dos Santos, Fernando Roberto Andrade Lima

“…The aim of this work is to show that a computer program, called digital image processing (DIP), can be used as an alternative method for breast diagnosis in hospitals and clinics that have not yet computerized mammography service. …”
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Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology by M. V. Sprindzuk, A. S. Vladyko, L. P. Titov, Lu Zhuozhuang, V. I. Bernik

“…The article is focused on the study of algorithms for processing bioinformatic data of genomic origin predominantly for the purposes of predominantly immunoinformatics and computational vaccinology. …”
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A Scalable and Consistent Method for Multi-Component Gravity-Gradient Data Processing by Larissa Silva Piauilino, Vanderlei Coelho Oliveira Junior, Valeria Cristina Ferreira Barbosa

“…Applications to synthetic and real datasets show that our method offers a computationally efficient alternative for processing large gravity-gradient data from various acquisition systems (AGG and FTG), even when data are irregularly spaced or flight lines are misaligned. …”
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Combined encryption method for CAN bus data based on periodic coupled processing by Wutao QIN, Peng WANG, Yufeng LI

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Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption by Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim

“…In the proposed method, Gaussian process regression (GPR), active learning (AL), and ANN are used for predicting the antibiotic levels in the industrial wastewater. …”
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The domain-general and domain-specific role of the semantic neural network in mathematical processing by Mengyi Li, Xinlin Zhou

“…The current study compared different types of inductive reasoning with the functional magnetic resonance imaging (fMRI) technique to investigate the role of the semantic network in mathematical processing and whether the role is domain-general or domain-specific. 32 undergraduate students were recruited to complete tasks involving numerical, geometrical, situational, and verbal inductive reasoning, as well as arithmetical computation. …”
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Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models by Xunfeng Wu, Shiwen Zhang, Zhe Gong, Junkai Ji, Qiuzhen Lin, Jianyong Chen

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EXPERIMENTAL INVESTIGATIONS OF THE PROCESS OF ROLLING STRIPS OF VARIABLE THICKNESS WITH A LOCAL BEND by V. A. Korol', L. A. Isaevich, D. M. Ivanickij, A. I. Gordienko

“…The results of computer simulation and experimental investigations of the rolling process of strip blanks on the profiled mandrel using two processing schemes…”
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Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment by Ashutosh Sarangi, Sailesh Kumar Raula, Sohamdev Ghoshal, Swadhin Kumar, Chinta Sai Kumar, Neelamadhab Padhy

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EXPERIENCE OF APPLICATION OF MODERN TECHNOLOGICAL EQUIPMENT IN THE PEDAGOGICAL PROCESS AT THE DEPARTMENT OF SURGICAL DENTISTRY by L.V. Tarnavska, G.B. Kіmak, O.B. Gayoshko, O.B. Permіnov, N.M. Pavelko, P.V. Tarnavskyy

“…On the way of integration into the system of European medical universities to increase the level of mastering the subject and improve the pedagogical process, the Department of Surgical Dentistry IFNMU offers to use in the educational process modern technology, the latest computer technology, master practical skills in special training centers. …”
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ML-Based Maintenance and Control Process Analysis, Simulation, and Automation—A Review by Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, Adrianna Piszcz, Krzysztof Galas

“…Automation and digitalization in various industries towards the Industry 4.0/5.0 paradigms are rapidly progressing thanks to the use of sensors, Industrial Internet of Things (IIoT), and advanced fifth generation (5G) and sixth generation (6G) mobile networks supported by simulation and automation of processes using artificial intelligence (AI) and machine learning (ML). …”
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Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression by Stephen M. Akandwanaho, Aderemi O. Adewumi, Ayodele A. Adebiyi

“…This paper solves the dynamic traveling salesman problem (DTSP) using dynamic Gaussian Process Regression (DGPR) method. The problem of varying correlation tour is alleviated by the nonstationary covariance function interleaved with DGPR to generate a predictive distribution for DTSP tour. …”
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Image Processing Using Feature-Based Segmentation Techniques for the Analysis of Medical Images by Christodoss Prasanna Ranjith, Krishnamoorthy Natarajan, Sindhu Madhuri, Mahesh Thylore Ramakrishna, Chandrasekhar Rohith Bhat, Vinoth Kumar Venkatesan

“…The proposed model works as follows. Firstly, pre-processing is performed by acquiring all the input images. …”
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Efficient Reverse Skyline Processing over Sliding Windows in Wireless Sensor Networks by Jun-Ki Min

“…Since the energy efficiency is utmost important issue to prolong the network lifetime, in this paper, we proposed efficient algorithms to process a reverse skyline query over a sliding window in WSN environments. …”
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