The Kernel method of density estimation using Turbo Pascal version 4.0

Authors: Dizon, Michael Israel S., Salvador, Rommel O.

Source: Bachelor's Theses

Subject Terms: Kernel functions, Probabilities, PASCAL (Computer program language), Functions--Computer programs, Computer programs

Relation: https://animorepository.dlsu.edu.ph/etd_bachelors/16015

Availability: https://animorepository.dlsu.edu.ph/etd_bachelors/16015

An exciting Approach to Theoretical Spectroscopy.

Authors: Raya-Moreno M; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Buccheri A; Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany., Dasch NA; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Farahani N; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Gonzalez Oliva I; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Gulans A; Department of Physics, University of Latvia, Riga, Latvia., Hong S; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Hossain M; Paderborn Center for Parallel Computing (PC2), Paderborn University, Paderborn, Germany., Kleine H; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Kuban M; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Lubeck S; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Maurer B; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Pavone P; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Peschel F; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Popova-Gorelova D; Institute of Physics, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany., Qiao L; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Richter E; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Rigamonti S; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Pela RR; Distributed Algorithms and Supercomputing Department, Zuse Institute Berlin (ZIB), Berlin, Germany., Schebek M; Department of Physics, Freie Universität Berlin, Berlin, Germany., Sinha K; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Speckhard DT; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Stutz J; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Tillack S; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Tumakov D; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Užulis J; Department of Physics, University of Latvia, Riga, Latvia., Voiculescu M; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Vona C; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Yang M; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany., Draxl C; Department of Physics and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany.

Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Jul 06, pp. e76167. Date of Electronic Publication: 2026 Jul 06.

Publication Type: Journal Article; Review

Journal Info: Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE

NISQ in practice: navigating noise, scale, and hardware constraints of near-term devices in quantum machine learning workflows.

Authors: Daka, Chisomo, Bhattacharyya, Somnath

Source: New Journal of Physics; 2026, Vol. 28 Issue 8, p1-37, 37p

Machine learning algorithms for predicting glycemic control and weight loss outcomes in GLP-1 receptor agonist users.

Authors: Abegaz, Tadesse M., Frietze, Gabriel

Source: Frontiers in Artificial Intelligence; 2026, p1-14, 14p

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights.

Authors: Sheng, Ze, Chen, Zhicheng, Gu, Shuning, Huang, Heqing, Gu, Guofei, Huang, Jeff

Source: ACM Computing Surveys; May2026, Vol. 58 Issue 5, p1-35, 35p

Subject Terms: Computer software security, Language models, Penetration testing (Computer security)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025).

Authors: Bansal, Avinash, Kubíček, Jan, Bahrová, Jana, Varyšová, Alice, Augustýnek, Martin, Penhaker, Marek, Timkovič, Juraj

Source: Advanced Intelligent Systems (2640-4567); Jul2026, Vol. 8 Issue 7, p1-93, 93p

Subject Terms: Deep learning, Generalization, Image segmentation, Image processing, Machine learning

Nonparametric density estimation for univariate and bivariate distributions with applications in discriminant analysis for the bivariate case

Authors: Haug, Mark

Subject Terms: Nonparametric statistics--Computer programs, Kernel functions--Computer programs, Population density--Statistical methods

File Description: application/pdf

Relation: http://hdl.handle.net/2097/9916

Availability: http://hdl.handle.net/2097/9916

Accelerated isogeometric topology optimization with multi-graphics processing unit and multi-core central processing unit using proportional-integral-derivative load balancing.

Authors: Gao, Baichuan, Liu, Jianli, Fan, Hongshuo, Nie, Tao, Yu, Jingui, Yang, Jianzhong, Xia, Zhaohui

Source: Engineering Optimization; May2026, Vol. 58 Issue 5, p1461-1487, 27p

Subject Terms: Load balancing (Computer networks), Mathematical optimization, Scalability, Multicore processors, Parallel programming, Computer memory management

A Novel Hybrid Deep Learning Model with Receptive Field-Enhanced Skip Connections and Adaptive Loss for Medical Image Segmentation.

Authors: Zarrin, Mahdi, Nikkhah, Haniyeh

Source: Journal of Artificial Intelligence & Data Mining (JAIDM); Apr2026, Vol. 14 Issue 2, p235-256, 23p

Subject Terms: Deep learning, Diagnostic imaging, Feature extraction, Loss functions (Statistics), Dermatology

Modeling Transient Groundwater Flow in Unconfined Aquifers Under Dynamic Conditions Using Physics‐Informed Neural Networks.

Authors: Virupaksha, Adhish, Lehmann, François, Hoteit, Hussein, Younes, Anis, Fahs, Marwan, Nagel, Thomas

Source: Water Resources Research; Mar2026, Vol. 62 Issue 3, p1-28, 28p

Subject Terms: Groundwater flow, Aquifers, Boundary value problems, Artificial neural networks, Hydrogeology, Unsteady flow, Deep learning

The Brookhaven Reactor Experiment Control Facility - A Distributed Function Computer Network.

Authors: Dimmler, D. G., Greenlaw, N., Kelley, M. A., Potter, D. W., Rankowitz, S., Stubblefield, F. W.

Source: IEEE Transactions on Nuclear Science; 1976, Vol. 23 Issue 1, p397-405, 9p

NUMERICAL SIMULATIONS OF BLOOD FLOW THROUGH LEFT VENTRICLE USING SPH AND FVM METHODS - A COMPARATIVE STUDY.

Authors: Topalović, Marko, Bodić, Aleksandar, Pešić, Miloš S., Milošević, Miljan S., Živković, Miroslav M.

Source: Journal of the Serbian Society for Computational Mechanics; 2023, Vol. 17 Issue 2, p16-26, 11p

Subject Terms: Flow simulations, Fluid flow, Pulsatile flow, Computer simulation, Heart beat, Mitral valve, Blood flow

Multi-Dimensional Procedural Wave Noise.

Authors: GUEHL, PASCAL, ALLèGRE, RéMI, GILET, GUILLAUME, SAUVAGE, BASILE, CANI, MARIE-PAULE, DISCHLER, JEAN-MICHEL

Source: ACM Transactions on Graphics; Aug2025, Vol. 44 Issue 4, p1-15, 15p

Subject Terms: Random noise theory, Fourier transforms, Integrals, Systems design, Electronic modulation

An improved lightweight irrigation canal segmentation network with direction perception for agricultural UAVs.

Authors: Ni, Jianjun, Gong, Zheng, Gu, Yang, Cao, Weidong, Yang, Simon X.

Source: Complex & Intelligent Systems; Feb2026, Vol. 12 Issue 2, p1-14, 14p

Photoinduced electronic band dynamics and defect-mediated surface potential evolution in PdSe2.

Authors: Abdul-Aziz, Omar, Tuniz, Manuel, Bronsch, Wibke, Parmigiani, Fulvio, Cilento, Federico, Wolverson, Daniel, Sayers, Charles J., Cerullo, Giulio, Dallera, Claudia, Carpene, Ettore, van Loosdrecht, Paul H. M., Hedayat, Hamoon

Source: NPJ 2D Materials & Applications; 12/12/2025, Vol. 9 Issue 1, p1-8, 8p

Subject Terms: Surface potential, Surface photovoltage, Photons, Nanostructured materials, Semiconductors, Picosecond pulses, Photoelectron spectroscopy

Nested ...: Assessing the Convergence of Markov Chain Monte Carlo When Running Many Short Chains.

Authors: Margossian, Charles C., Hoffman, Matthew D., Sountsov, Pavel, Riou-Durand, Lionel, Vehtari, Aki, Gelman, Andrew

Source: Bayesian Analysis; Dec2025, Vol. 20 Issue 4, p1587-1614, 28p

Subject Terms: Markov chain Monte Carlo, Parallel algorithms, Parallel computers, Asymptotic distribution, Experimental design

Fault severity recognition based on self-adaptive particle swarm optimisation using wavelet kernel extreme learning machine.

Authors: Zaichao Zhou, Lin Bo, Xiaofeng Liu, Tao Tang, Kai Lv

Source: Insight: Non-Destructive Testing & Condition Monitoring; Jan2019, Vol. 61 Issue 1, p35-43, 9p, 1 Color Photograph, 5 Diagrams, 7 Charts, 6 Graphs

Subject Terms: Gearboxes, System failures, Particle swarm optimization, Wavelets (Mathematics), Feedforward neural networks, Machine learning

Optimization of E-bike networks.

Authors: Belotti, Pietro, Errico, Fausto, Malucelli, Federico, Massetti, Antonio Tommaso

Source: Transportation Planning & Technology; Oct2024, Vol. 47 Issue 6, p922-943, 22p

Subject Terms: Infrastructure (Economics), Renewable energy transition (Government policy), Electric automobiles, Scientific literature, Electric bicycles

Web-based optimization algorithm for web-based platform course design in teaching reform of university mathematics.

Authors: Liang, Jing

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p5639-5654, 16p

Subject Terms: Optimization algorithms, Mathematics education, Educational change, Digital learning, Radial basis functions, Mathematics, Curriculum planning, Blended learning

Visual working memory prioritization modulates serial dependence beyond simple attentional effects.

Authors: Andriushchenko, Ekaterina, Chetverikov, Andrey, Campana, Gianluca

Source: BMC Biology; 11/14/2025, Vol. 23 Issue 1, p1-19, 19p

Subject Terms: Visual memory, Attention, Memory bias, Visual perception, Cognitive psychology, Memory disorders, Decision making