Výsledky vyhľadávania - variable encoding ACM Reference Format

Hardware-Based Load Value Trace Filtering for On-the-Fly Debugging

Autori: Vladimir Uzelac Tensilica Inc The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Vladimir Uzelac Tensilica Inc The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.ece.uah.edu/%7Emilenka/docs/vuam_tecs13.pdf.

Predmety: Categories and Subject Descriptors, C.3 [Computer Systems Organization, Special-Purpose and Application-Based Systems—Real-time and embedded systems, D.2.5 [Software Engineering, Testing and Debugging—Debugging aids, tracing, E.4 [Data, Coding and Information Theory—Data compaction and compression General Terms, Algorithms, Design, Verification Additional Key Words and Phrases, Debugging, program tracing, trace compression, load value filtering, trace module, software debugger, variable encoding ACM Reference Format

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.6485; http://www.ece.uah.edu/%7Emilenka/docs/vuam_tecs13.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.6485
http://www.ece.uah.edu/%7Emilenka/docs/vuam_tecs13.pdf

Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.

Autori: Casas Domínguez, Mónica Herrena Montano, Isabel López Gómez, Juan José a ďalší

Zdroj: Nutrients. Apr2025, Vol. 17 Issue 8, p1391. 13p.

Explainable Machine Learning Framework for Milk Quality Grading.

Alternate Title: Süt Kalitesi Derecelendirmesi için Açıklanabilir Makine Öğrenimi Çerçevesi.

Autori: ÇETİNTAV, Bekir YALÇIN, Ahmet

Zdroj: Kocatepe Veterinary Journal / Kocatepe Veteriner Dergisi. Sep2025, Vol. 18 Issue 3, p227-235. 9p.

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations.

Autori: Jobarteh, Bubacarr Mincu-Iorga, Madalina Gavojdian, Dinu a ďalší

Zdroj: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Uncertainty Quantification of Fluid Leakage and Fault Instability in Geologic CO2 Storage.

Autori: Lu, Hannah Saló‐Salgado, Lluís Marzouk, Youssef M. a ďalší

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-24, 24p

Predmety: GEOLOGICAL carbon sequestration, INDUCED seismicity, RISK assessment, EARTHQUAKE hazard analysis, WATER leakage, DEEP learning, CLIMATE change mitigation, HYDRAULIC conductivity

Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network.

Autori: Cui, Zhesi Chen, Qiyu Luo, Jian a ďalší

Zdroj: Water Resources Research; Nov2024, Vol. 60 Issue 11, p1-23, 23p

Predmety: HYDROGEOLOGICAL modeling, MULTISENSOR data fusion, DEEP learning, DATA modeling, PARAMETERIZATION

Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice.

Autori: Hajihassanpour, Mahya Kesserwani, Georges Pettersson, Per a ďalší

Zdroj: Water Resources Research; Jul2023, Vol. 59 Issue 7, p1-33, 33p

Predmety: LATIN hypercube sampling, FLOODS, RANDOM variables, UNCERTAIN systems, DISTRIBUTION (Probability theory), SAMPLE size (Statistics), UNCERTAINTY (Information theory)

Harnessing Machine Learning for Agnostic Biodetection.

Autori: Sandholtz, Sarah H. Valdes, Camilo Mulakken, Nisha a ďalší

Zdroj: Health Security; May/Jun2025, Vol. 23 Issue 3, p155-168, 14p

Predmety: MACHINE learning, BIOSURVEILLANCE, BIOSECURITY, SUCCESS, ENCODING

Behavioral and eye-tracking investigation of event segmentation following short video watching.

Autori: Li, Hongxiao Li, Jiashen Hao, Xin a ďalší

Zdroj: NPJ Science of Learning; 11/26/2025, Vol. 10 Issue 1, p1-15, 15p

From Codebooks to Promptbooks: Extracting Information from Text with Generative Large Language Models.

Autori: Stuhler, Oscar Ton, Cat Dang Ollion, Etienne

Zdroj: Sociological Methods & Research; Aug2025, Vol. 54 Issue 3, p794-848, 55p

Predmety: LANGUAGE models, GENERATIVE artificial intelligence, NATURAL language processing, DATA mining, SOCIOLOGICAL research, ELECTRONIC newspapers

Deep handwritten diagram segmentation.

Autori: Pravalpruk, Buntita Dailey, Matthew N.

Zdroj: IET Image Processing (Wiley-Blackwell); 11/13/2024, Vol. 18 Issue 13, p4207-4220, 14p

Predmety: DOCUMENT imaging systems, ARCHITECTURAL style, IMAGE segmentation, DEEP learning, PROBLEM solving, PIXELS

Flexible encoding of multiple task dimensions in human cerebral cortex.

Autori: Tamber-Rosenau, Benjamin J. Newton, Allen T. Marois, René

Zdroj: Frontiers in Cognition; 2024, p1-17, 17p

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis.

Autori: Siddique, Aftab Batchu, Phaneendra Shaik, Arshad a ďalší

Zdroj: Frontiers in Veterinary Science. 2025, p1-11. 11p.

Using Artificial Intelligence to Develop Clinical Decision Support Systems—The Evolving Road of Personalized Oncologic Therapy.

Autori: Chitoran, Elena Rotaru, Vlad Gelal, Aisa a ďalší

Zdroj: Diagnostics (2075-4418); Sep2025, Vol. 15 Issue 18, p2391, 28p

Predmety: ARTIFICIAL intelligence, CLINICAL decision support systems, INDIVIDUALIZED medicine, RISK assessment, BEVACIZUMAB, MACHINE learning, ONCOLOGY

The Impact of AI Guide Language Strategies on Museum Visitor Experience: The Mediating Role of Psychological Distance in the Arousal–Topic Fit Effect.

Autori: Xia, Tiansheng Wu, Yujiao Qiu, Aopeng a ďalší

Zdroj: Behavioral Sciences (2076-328X); Nov2025, Vol. 15 Issue 11, p1569, 26p

Unveiling large multimodal models in pulmonary CT: A comparative assessment of generative AI performance in lung cancer diagnostics.

Autori: Huang, Lihaoyun Lin, Anqi Li, Haitao a ďalší

Zdroj: View (2688-268X); Oct2025, Vol. 6 Issue 5, p1-17, 17p

Predmety: LUNG cancer, COMPUTED tomography, GENERATIVE artificial intelligence, DIAGNOSIS, MACHINE learning, DIAGNOSTIC services, RECEIVER operating characteristic curves, INFERENTIAL statistics

Machine Learning Models of the Geospatial Distribution of Groundwater Quality: A Systematic Review.

Autori: Mehrabi, Mohammad Polya, David A. Han, Yang

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 19, p2861, 48p

Predmety: MACHINE learning, GROUNDWATER quality, STATISTICAL reliability, PREDICTION models, SPATIAL variation, ENVIRONMENTAL risk assessment, POLLUTANTS

Modelling Pain Perception Using Fuzzy Cognitive Maps.

Autori: Farahani, Hojjatollah Kovač, Nataša Fardi, Helal a ďalší

Zdroj: Journal of Pain Research; Oct2025, Vol. 18, p5153-5174, 22p

Predmety: PAIN perception, PSYCHOLOGICAL factors, PAIN management, COGNITIVE maps (Psychology), KNOWLEDGE acquisition (Expert systems), SOCIAL factors

ChinaVis24.MapCraft: dissecting and designing custom geo-infographics.

Autori: Zhang, Xinyuan Xu, Yifan Li, Kaiwen a ďalší

Zdroj: Journal of Visualization; Aug2025, Vol. 28 Issue 4, p837-857, 21p

The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review.

Autori: Grzesiak, Wilhelm Zaborski, Daniel Pluciński, Marcin a ďalší

Zdroj: Animals (2076-2615); Jul2025, Vol. 15 Issue 14, p2033, 38p

Predmety: MACHINE learning, DAIRY cattle, AGRICULTURE, DATA analysis, CLASSIFICATION algorithms, REGRESSION analysis, ANIMAL culture, AGRICULTURAL technology