Pseudoexhaustive memory testing based on March A type march tests by V. N. Yarmolik, I. Mrozek, S. V. Yarmolik

“…The relevance of testing of memory devices of modern computing systems is shown. The methods and algorithms for implementing test procedures based on classical March tests are analyzed. …”
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With just one tap. Network study of tweets dissemination during the war in Ukraine by Marcin Wozniak

“…Community detection algorithms were applied to investigate echo-chambers. …”
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A Narrative Review of Biomarkers and Imaging in the Diagnosis of Acute Aortic Syndrome by Ümit Arslan, Izatullah Jalalzai

“…Emerging technologies, such as metabolomics, are reshaping diagnostic algorithms. Despite advances in diagnostic methods, challenges such as misdiagnosis and missed diagnoses persist. …”
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RESERVE ESTIMATION FOR AN AQUIFER-SUPPORTED RESERVOIR USING MATERIAL BALANCE by WILFRED CHINEDU OKOLOGUME, GEORGE GEORGE EKEH PROMISE

“… This study uses a straight-line material balance method to estimate the reserves of an undersaturated reservoir supported by an aquifer. Some computer algorithms to implement Van-Everdingen and Hurst models (VEHM) to calculate cumulative water influx were envisaged through the study's developed tool "QUANTIFY". …”
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Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks by Narayanan Manikandan, Srinivasan Subha

“…This framework is tested for finding the accuracy and performance of parallel algorithms used.…”
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DAG-Based Swarm Learning Approach in Healthcare: A Survey by David Gana, Faisal Jamil

“…Also, federated learning has been deployed in various ways to tackle healthcare challenges enabling collaborative data analysis while upholding patient confidentiality. Swarm learning algorithms have been notably effective in healthcare, enriching medical diagnostics, disease prognosis, and precision medicine. …”
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Microcontroller-Based Direct Torque Control Servodrive by Rafael Rodríguez-Ponce, Francisco Gustavo Mota-Muñoz

“…Currently, the digital signal processor (DSP) is the core chip in industrial motor-control drives; however, the implementation of DSP control algorithms can be quite challenging for an experienced programmer, even more so for the novice. …”
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A comparison study on optical character recognition models in mathematical equations and in any language by Sofi.A. Francis, M. Sangeetha

“…OCR makes use of a variety of algorithms and methods to process images, and then produces readable output, whatever language it is used for. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

“…In multimodal biometrics system, the utilization of different algorithms for feature extraction, fusion at feature level and classification often to complexity and make fused biometrics features larger in dimensions. …”
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Research on Torque Compensation Strategy of Wind Maneuver Model Experimental System by Increasing the Analog Multiple of Moment of Inertia by Qiming Sun, Yaqin Qiu, Chao Zhang

“…Therefore, most scholars rely on software compensation algorithms to realize the stability simulation of wind turbine simulators with small moments of inertia and actual wind turbines with large moments of inertia. …”
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Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values by Przemyslaw Mazurek, Wojciech Chlewicki

“…Using the Monte Carlo method, four types of Max algorithms, i.e., Pixel Value, Min. Pixel Value, and Max. …”
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Green AI: Enhancing Sustainability and Energy Efficiency in AI-Integrated Enterprise Systems by Saumya Dash

“…The system employs advanced optimization algorithms aimed at minimizing energy usage during both AI training and inference, ensuring minimal impact on model accuracy. …”
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Improving the Machine Learning Stock Trading System: An N-Period Volatility Labeling and Instance Selection Technique by Young Hun Song, Myeongseok Park, Jaeyun Kim

“…Financial technology is crucial for the sustainable development of financial systems. Algorithmic trading, a key area in financial technology, involves automated trading based on predefined rules. …”
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PROJECTING OF THE INDIVIDUAL WORK OF STUDENTS STUDYING INFORMATICS by Mikhail I. Umansky

“…Efficient combination of the usage of patterns as the results of practical work and creative search for the best algorithms and procedures allows to move to the formation of cultural and professional competences in the course of informatics step by step.…”
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A Framework for the Objective Assessment of Registration Accuracy by Francesca Pizzorni Ferrarese, Flavio Simonetti, Roberto Israel Foroni, Gloria Menegaz

“…Validation and accuracy assessment are the main bottlenecks preventing the adoption of image processing algorithms in the clinical practice. In the classical approach, a posteriori analysis is performed through objective metrics. …”
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

“…We employed synthetic over-sampling and under-sampling techniques in certain machine learning algorithms to tackle the same issue. To address the issue of under sampling, we implemented ensemble random sampling, which was subsequently followed by Two-Stage Thresholding (TST) to eliminate outliers. …”
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Enhancing Privacy While Preserving Context in Text Transformations by Large Language Models by Tymon Lesław Żarski, Artur Janicki

“…Additionally, the proposed algorithms successfully preserved context in approximately 93.23% of test cases, indicating a promising solution for secure data handling in online environments.…”
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Chronic cough as a disease by Richard D. Turner, Surinder S. Birring

“…There remains an overreliance by clinicians on outdated management algorithms, addressing chronic cough only as symptom of other medical conditions, and advocating investigation and trials of treatment of diseases which are often not present. …”
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Cycle-based formulations in Distance Geometry by Liberti, Leo, Iommazzo, Gabriele, Lavor, Carlile, Maculan, Nelson

“…The problem is often modelled as a mathematical programming formulation involving decision variables that determine the position of the vertices in the given Euclidean space. Solution algorithms are generally constructed using local or global nonlinear optimization techniques. …”
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