Space-Based FPGA Radio Receiver Design, Debug, and Development of a Radiation-Tolerant Computing System by Zachary K. Baker, Mark E. Dunham, Keith Morgan, Michael Pigue, Matthew Stettler, Paul Graham, Eric N. Schmierer, John Power

“…This processing capability enables very advanced algorithms such as our wideband RF compression scheme to operate at the source, allowing bandwidth-constrained applications to deliver previously unattainable performance. …”
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Real-Time Audio-Visual Analysis for Multiperson Videoconferencing by Petr Motlicek, Stefan Duffner, Danil Korchagin, Hervé Bourlard, Carl Scheffler, Jean-Marc Odobez, Giovanni Del Galdo, Markus Kallinger, Oliver Thiergart

“…The obtained results demonstrate the effectiveness of the proposed design, the various algorithms, and the benefit of fusing different modalities in this scenario.…”
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Bulk Low-Inertia Power Systems Adaptive Fault Type Classification Method Based on Machine Learning and Phasor Measurement Units Data by Mihail Senyuk, Svetlana Beryozkina, Inga Zicmane, Murodbek Safaraliev, Viktor Klassen, Firuz Kamalov

“…This research focuses on developing and testing a method for classifying disturbances in power systems using machine learning algorithms and phasor measurement unit (PMU) data. To enhance the speed and accuracy of disturbance classification, we employ a range of ensemble machine learning techniques, including Random forest, AdaBoost, Extreme gradient boosting (XGBoost), and LightGBM. …”
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AI‐Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis by Caglar Ozturk, Daniel H. Pak, Luca Rosalia, Debkalpa Goswami, Mary E. Robakowski, Raymond McKay, Christopher T. Nguyen, James S. Duncan, Ellen T. Roche

“…The efficiency and reliability of these algorithms make them an ideal complementary tool for personalized high‐fidelity modeling of AS biomechanics, hemodynamics, and treatment planning.…”
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High School Scores to College Performance: Exploring the Predictive Validity of Grade 12 Standardized Test Scores for University GPA by Abdurrahman Wahab, Hemin Ibrahim

“…The study employs traditional statistical methods and advanced AI-based algorithms to categorize and analyze a dataset comprising 225 students admitted between 2014 through 2019. …”
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Three-Dimensional Near-Field Microwave Holography for Tissue Imaging by Reza K. Amineh, Ali Khalatpour, Haohan Xu, Yona Baskharoun, Natalia K. Nikolova

“…Then, novel holographic imaging algorithms are implemented to provide three-dimensional images of the inspected domain. …”
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The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS). by DanielRaj K, Ponseka G, Bharath Sanjai Lordwin D J3

“…This paper examines recent advancements in neuromorphic computing, with an emphasis on innovative hardware and algorithms that boost computational power while reducing energy consumption. …”
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Collaborative Penalized Least Squares for Background Correction of Multiple Raman Spectra by Long Chen, Yingwen Wu, Tianjun Li, Zhuo Chen

“…Although Raman spectroscopy has been widely used as a noninvasive analytical tool in various applications, backgrounds in Raman spectra impair its performance in quantitative analysis. Many algorithms have been proposed to separately correct the background spectrum by spectrum. …”
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Representing groups of students as personas: A systematic review of persona creation, application, and trends in the educational domain by Ali Farooq, Amani Alabed, Pilira Stella Msefula, Reham AL Tamime, Joni Salminen, Soon-gyo Jung, Bernard J. Jansen

“…The findings suggest significant opportunities for the educational sector to leverage algorithmic methods to advance persona creation and broaden their application scope.…”
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Translation of Value-Semantic Narratives in Public Digital Communication: Opportunities and Limitations by Albina B. Romashkina, Daria A. Kirichuk

“…Traditional agents of socialization cannot fully shape a person’s worldview, and therefore citizens may be more susceptible to manipulative algorithmic tools of digital platforms on which destructive narratives are broadcast that contribute to the destruction of the worldview and values of society. …”
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Real time synthesis of digital automatic control systems for training by Dalia Baziukaitė, Artūras Bielskis

“…Such links are useful optimizing system dynamics in real time, creating leaning programs and applying adaptation algorithms of the automatic control systems. …”
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Random Frequency Division Multiplexing by Chanzi Liu, Jianjian Wu, Qingfeng Zhou

“…However, the signal is not sparse which makes the reconstruction algorithms ineffective. We take full account of the great power of deep neural networks (DNN) to detect the signal as it is an underdetermined equation. …”
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EMG Dataset for Gesture Recognition with Arm Translation by Iris Kyranou, Katarzyna Szymaniak, Kianoush Nazarpour

“…This dataset, comprising EMG and hand kinematics data from 8 participants performing 6 different hand gestures, provides a comprehensive resource for investigating position-invariant myoelectric control decoding algorithms. We envision this dataset to serve as a valuable resource for both training and benchmark arm position-invariant myoelectric control algorithms. …”
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Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement by Novlene Zoghlami, Zied Lachiri

“…In this context, we use continuous noise estimation algorithms. The performance of the proposed approach is evaluated on speech signals corrupted by real-world noises. …”
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Understanding and utilizing the inner bonds of process tensors by Moritz Cygorek, Erik M. Gauger

“…Numerical tests further indicate that different PT-MPO algorithms compress environments to similar subspaces. …”
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Application of first-order logic to identify organizers and perpetrators of illegal actions in teams of a limited circle of people by A. М. Sobol, E. I. Kozlova, Yu. A. Chernyavsky

“…There are three main families of inference algorithms in first-order logic: direct inference and its application to deductive databases and production systems; backward inference procedures and logic programming systems; theorem proving systems based on the resolution method. …”
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An extensive bibliometric analysis of pavement deterioration detection using sensors and machine learning: Trends, innovations, and future directions by Mehmet Rizelioğlu

“…In addition, accelerometer and GPS were the most used sensors, ANN and CNN were the most preferred algorithms, and cracks and potholes were the most studied topics. …”
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Monitoring Changes in Clustering Solutions: A Review of Models and Applications by Muhammad Atif, Muhammad Shafiq, Muhammad Farooq, Gohar Ayub, Friedrich Leisch, Muhammad Ilyas

“…This article comprehensively reviews the applications and algorithms used for monitoring the evolution of clustering solutions in data streams. …”
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Nash equilibria in the context of convex sets by Daina Sūdžiūtė

“…Necessary and sufficient conditions for existing of such Nash equilibria are obtained (in theorems 4 and 8), and the algorithms for calculating them too. Some ideas of convex analysis are employed. …”
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Output Reachable Set Analysis for Periodic Positive Systems by Ilyas Sitli, Fouad Lahmidi, Abdelwahed Namir, Mouhcine Naim

“…In this study, we use the union of the bounding hyperpyramids to estimate the output reachable set for periodic positive systems under two classes of exogenous disturbances. Optimization algorithms are used to obtain the smallest bounding hyperpyramids possible. …”
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