Search Results - (coding OR decoding) (algorithmics OR (algorithm OR (algorithm OR Algorithmssssicics)))

A Common Rubric for Per-Stage Assessment Across the K-12 Informatics Pipeline by Le, That

Table of Contents: “…), Specialisation (algorithm-cluster vocabulary), and Competitive (contest-format spine-cluster deployment…”
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Unlocking the full potential of high‐density surface EMG: novel non‐invasive high‐yield motor unit decomposition by Agnese Grison, Irene Mendez Guerra, Alexander Kenneth Clarke, Silvia Muceli, Jaime Ibáñez, Dario Farina

Table of Contents: “… algorithms, while effective under certain conditions, face significant challenges in complex scenarios…”
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Evaluating Self: Consistency and Tree of Thought Reasoning Strategies in Lightweight Language Models on Math and Logic Benchmark by Mr. Sankhadeep Debdas, Pawan Kumar

Table of Contents: “…<br>operating on constrained hardware. Self-consistency decoders can enhance the robustness…”
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Veda Meets Vision: Evidence-Based Ayurveda in AI-Driven Research by Dr. Viveka, Dr. Shagufta Malhotra, Dr. Vikash Sharma

Table of Contents: “… to develop an evidence-based model of Ayurveda by digitising, decoding, and assessing traditional knowledge…”
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An Inquiry into a Recursive Harmonic Architecture: A Philosophical and Computational Analysis of SHA, the PE Format, and Mathematical Constants by Kulik, Dean

Table of Contents: “…. This perspective reframes artifacts of computer science, such as cryptographic algorithms and executable file…”
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UCD-BDLab/BioNeuralNet: v1.3.0 by Vicente Ramos, Mohamed Abdel-Hafiz, SundousHussein

Table of Contents: “…<h2>[1.3.0] - 2026-04-01</h2> <h3>Network Module (<code&gt…”
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github.com/DataBiosphere/analysis_pipeline_WDL/pc-relate-wdl_wdl_checker by DataBiosphere

Table of Contents: “… files are provided in <code>test-data-and-truths</code> and in <code>gs…”
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The Economic Bomb: A Strategic Financial Warfare Tactic by Decker, Nicolin

Table of Contents: “… to destabilize Bitcoin-dependent economies through institutional short-selling, algorithmic liquidation…”
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Fusion of Hyperspectral and Multispectral Images Based on a Non-locally Centralized Sparse Model of Abundance Maps by Kevin Arias

Table of Contents: “…. Then, an alternating iterative algorithm is employed to solve the fusion problem conditionally on the learned…”
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miRNAs in cerebrospinal fluid associated with Alzheimer's disease: a systematic review and pathway analysis using a data mining and machine learning approach by Jessica Diniz Pereira, Lívia Cristina Ribeiro Teixeira, Izabela Mamede Costa Andrade da Conceição, Michelle Teodoro Alves, Marcelo Rizzatti Luizon, Adriano Alonso Veloso, Paulo Caramelli, Karina Braga Gomes

Table of Contents: “… are small non‐coding RNAs with highly conserved sequences, involved in gene modulation and several molecular…”
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Using Natural Language Processing to identify text for qualitative research into the lived experience of people with dementia by Lily N. Shapiro, William I Bowers, Kelly Ehrlich, Tiina Maripuu, Jenna Mae Peterson, Marlaine Figueroa Gray, Sundary Sankaran, Paul K. Crane, Janelle S Taylor, Robert B Penfold

Table of Contents: “… visit. We implemented an NLP algorithm, pytakes, which extracted concepts from notes in our corpus…”
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Nationwide Trends in Medical Comorbidity Burden of Patients Newly Diagnosed with Dementia, 2015‐2021 by Jay B Lusk, Cassie B Ford, Beau Blass, Kim G Johnson, Amy G Clark, Samir Soneji, Richard J O'Brien, Emily C O'Brien, Bradley G Hammill

Table of Contents: “… international classification of diseases (ICD) code algorithms to identify both dementia diagnoses and medical…”
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Landslide monitoring from point cloud sequence using stereo feature matching by Yunfeng Ge, Changyang Liu, Huiming Tang, Jiangjun Chen

Table of Contents: “… of the landslide area, we applied the random sample consensus (RANSAC) algorithm to fit the point cloud to bridge…”
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A subspace‐adaptive weights cubature method with application to the local hyperreduction of parameterized finite element models by J. R. Bravo, J. A. Hernández, S. Ares de Parga, R. Rossi

Table of Contents: “… programming algorithms. We show in a toy problem involving integration of polynomial functions that the SAW…”
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Genomic analysis defines distinct pancreatic and neuronal subtypes of lung carcinoid by Clara Domingo‐Sabugo, Saffron AG Willis‐Owen, Amit Mandal, Anca Nastase, Sarah Dwyer, Cecilia Brambilla, José Héctor Gálvez, Qinwei Zhuang, Sanjay Popat, Robert Eveleigh, Markus Munter, Eric Lim, Andrew G Nicholson, G Mark Lathrop, William OC Cookson, Miriam F Moffatt

Table of Contents: “… polymorphism (SNP) genotyping. Transcriptomic clustering algorithms identified two distinct L‐CD subtypes…”
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Speech analysis of teaching assistant interventions in small group collaborative problem solving with undergraduate engineering students by Cynthia M. D'Angelo, Robin Jephthah Rajarathinam

Table of Contents: “…) algorithms to extract student speech data in order to better understand the collaboration of small group work…”
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Prehospital Risk Stratification Using Unsupervised Machine Learning in STEMI by Ana Ramos‐Rodríguez, Raúl López‐Izquierdo, Carlos del Pozo Vegas, María Plaza‐Martín, Cristina Tapia‐Ballesteros, Juan F. Delgado Benito, Ancor Sanz‐García, Francisco Martín‐Rodríguez

Table of Contents: “… unsupervised machine learning algorithms based on prehospital parameters, and to determine their association…”
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Mediators of epilepsy risk after traumatic brain injury: A 20‐year U.S. veteran cohort study by Shashank Vadlamani, Mustafa Ozmen, James J. Gugger, Amanda Cheney, Megan Amuan, Ramon Diaz‐Arrastia, Mary Jo Pugh, Eamonn Kennedy

Table of Contents: “… longitudinal matched cohort study used an established algorithm to identify veterans in Department of Defense…”
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Incidence and Outcomes of Surgically Managed Ectopic Pregnancy in Women With Disabilities: A Population‐Based Cross‐Sectional Study by Natalie V. Scime, Beili Huang, Hilary K. Brown, Erin A. Brennand

Table of Contents: “… diagnosis code algorithm. Outcomes were the incidence rate of ectopic pregnancy, surgical management…”
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Bioinformatics and Machine Learning–Based Identification of Critical Biomarkers and Immune Infiltration in Venous Thromboembolism by Yajing Li, Hongru Deng

Table of Contents: “… Objective: This study aims to use bioinformatics and machine learning algorithms to screen and analyze…”
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