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Earthquake Detection Using Cepstral Analysis and Machine Learning Algorithms

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Optimierung und Digitalisierung eines CHO-Zellkulturprozesses für die rekombinante mAb-Produktion

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Machine learning in quantum mechanical and optical systems

Schmiesing, V.-S. (2025) · Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover) · doi:10.15488/18472

Machine learning applications in search algorithms for gravitational waves from compact binary mergers

Schäfer, M. B. (2023) · Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover) · doi:10.15488/13237

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Buschjäger, S. (2022) · Technische Universität Dortmund Eldorado (Technische Universität Dortmund) · doi:10.17877/de290r-22979

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Ouzounoglou, A. (2023) · DSpace - NTUA (National Technical University of Athens) · doi:10.26240/heal.ntua.26139

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Galatis, A. (2024) · DSpace - NTUA (National Technical University of Athens) · doi:10.26240/heal.ntua.26972

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Grossberg, S., Rahmjoo, A., & Friedman, D. (2022) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.7430477

ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

Moberg, J., & Widén, J. (2023) · DiVA (Mälardalen University College)

Development and validation of cancer markers based on multiparametric MRI and machine learning

García-Ruiz, A. (2024) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)

Implementation of a Neural Network in FPGA

Giménez Fernández-Caro, A. (2023) · UPCommons institutional repository (Universitat Politècnica de Catalunya)

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Neubauer, A. D., Sorg, C., & München, T. U. (2024)

Leveraging physics foundation models to predict the evolution of particle jets

Cordruwisch, T. (2025) · Theseus (Ammattikorkeakoulujen)

Machine Learning Methods for the Simulation and Characterization of Many-Body Quantum Systems

Gutiérrez, I. L., Mendl, C. B., & München, T. U. (2024)

Neue Wege zur Erkundung des Neutrinohimmels durch die Augen des Südpols — Entwicklung numerischer Methoden für das IceCube Neutrino Observatory

Ha Minh, M., Resconi, E., & München, T. U. (2025)

Predicción de eventos graves en pacientes hipertensos basado en informes de presurometrías a partir de la aplicación de técnicas de inteligencia artificial

Monreal, T. (2023) · Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)

Quantitative assessment of glaucoma by artificial intelligence estimation of the waist of the nerve fiber layer in the optic nerve head

Kisonaite, K. (2023) · Uppsala University Publications (Uppsala University)

Social Operative System (sOS): The Use of Technology to Develop New Forms of Governance

Huerva Subirachs, J. (2024) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)

Understanding and Modeling Marine Fog in Areas Offshore from Atlantic Canada

Teeloku, P. (2025) · YorkSpace (York University)

Методика, математическое и программное обеспечение автоматизированного проектирования типорядов резинокордовых патрубков : диссертация на соискание ученой степени кандидата технических наук :

Звонов, А. О. (2022) · Electronic Archive of Ural Federal University (ELAR UrFU)

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Castilla-Gutiérrez, J. (2021) · Repositorio Institucional de la Universidad de Huelva (Universidad de Huelva)

Assessing Deepfake Detection Models: A Comparative Study for Misinformation Detection and Prevention

Liyana Gamage, C. (2025) · UTUPub (University of Turku)

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Uličný, M. (2021) · Arrow@dit (Dublin Institute of Technology)

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Andriolo, S. (2021) · AMS Laurea Institutional Research Repository (University of Bologna)

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Corrochano Jiménez, J. (2020) · e-Archivo (Carlos III University of Madrid)

Escalado y reconstrucción de imágenes

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Leminski, P. (2024) · Skemman

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Investigating the Contributing Factors to AV-Road User Conflicts: A Data-Driven Approach

Gabaire, M. (2024) · MacSphere (McMaster University) · doi:10.71548/19323

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Lecture et analyse argumentaire de texte assistés par ordinateur (LAATAO) : détection automatique d'argument dans les textes de haut niveau théorique

Lareau, F. (2023) · Archipel (Université du Québec à Montréal)

Neural network partitioning for resource-limited environments

Geel, P. (2023) · Research Repository (Delft University of Technology)

Modelling Irrational Agent Beliefs In Online Social Networks

CHUKWUMA, F. (2023) · Staffordshire Online Repository (Staffordshire University)

The Predictive Power of Google Trends in the Portuguese Football Club Stock Markets

Miranda, J. M. D. (2024) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Reconstructing face representations: a psychological and computational modelling approach to explore the effect of familiarity on human face recognition

Somai, R. S. (2023) · Stirling Online Research Repository (University of Stirling)

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Stock Market Prediction with Long Short-Term Memory Networks: A Multi-Market Performance Analysis

Härkönen, V. (2025) · UTUPub (University of Turku)

Weakly-Supervised Learning from Incomplete Data

Robatian, D. (2021) · PolyPublie (École Polytechnique de Montréal)

Μελέτη τεχνικών μηχανικής μάθησης για ανίχνευση ιόμορφου υλισμικού

Kalais, K. (2020) · University of Thessaly Institutional Repository (University of Thessaly)

An approach to optimal trajectory with neural networks

Moreira, I. M. A. R. (2024) · RepositóriUM (Universidade do Minho)

Aplicación de técnicas de aprendizaje automático a la transmisión de estados cuánticos en cadenas de espines

Santana, S. P. (2022) · Repositorio Digital de la UNC (National University of Cordoba)

Diseño e implementación de un algoritmo no supervisado para la conducción autónoma en un circuito de pruebas virtual

Moreno Urrea, F. A. (2023) · Digital Repository (Polytechnic University of Cartagena)

Distinguishing Noise and Main Text Content from Web-Sourced Plain Text Documents Using Sequential Neural Networks

Salmela, A. (2022) · UTUPub (University of Turku)

Feature selection and fuzzy classification for the prediction of CO2 ratings

Sathiyamoorthy, S. (2023) · LUTPub (LUT University)

How Far Can a Few Shots Take? Exploring Few-Shot Learning in Finnish Text Classification Through Sentence Transformer Fine-Tuning

Salmela, A. (2025) · UTUPub (University of Turku)

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Ples, V. (2023) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

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Aust, C. (2024) · Qucosa (Saxon State and University Library Dresden)

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Bourcin, L. (2023) · HAL

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Batra, K. (2024) · eScholarship (California Digital Library)

Neuroverkkojen ja syväoppimisjärjestelmien kuvaus parametrisina vaaksoina

Kettunen, H. (2024) · Aaltodoc (Aalto University)

Revisiting equity premium forecasts: applying machine learning and deep learning techniques

Gabriel, K. (2021) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Search for Millisecond Pulsars for the Pulsar Timing Array project

Milia, S. (2012) · VEprints - Universita degli Studi di Cagliari

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NC DOCKS at The University of North Carolina at Greensboro, & Qunbar, S. A. (2019) · NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)

Comparación de algoritmos para la predicción de demanda del número de vehículos de una empresa logística

Medrano Avedillo, F. J. (2022) · idUS (Universidad de Sevilla)

Detección de frutas en árboles

Torres Alonso, A. (2020) · Docta Complutense (Universidad Complutense de Madrid)

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Nguyen, H. S. (2024) · LUTPub (LUT University)

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Ezer, E. (2022) · Dspace Repository (Marmara Üniversitesi)

Mezi-jazyčné transformace sémantických prostorů

Mištera, A. (2021) · Digital Library (University of West Bohemia)

Niet-destructieve interne kwaliteitsinspectie van peren met X-ray imaging en Machine Learning

Looverbosch, T. V. D. (2022) · Lirias

Quantifier les différences interindividuelles dans l'expérience subjective avec l’intelligence artificielle pour la prédiction des symptômes psychiatriques

Manuel, S. (2024) · Papyrus : Institutional Repository (Université de Montréal) · doi:10.71781/30253

SPECKLE CORRELATION USING A DEEP LEARNING ALGORITHM ON NEWTONIAN FLUIDS

Calvin, M. (2021) · Digital Commons-DePaul (DePaul University)

手書き立ち絵からの3次元ゲームキャラクターモデル生成

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Rørmann Olsen, I. (2018) · Gothenburg University Publications Electronic Archive (Gothenburg University)

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Çifcibaşı, T. (2021) · Marmara University Open Access System

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Abdullah, M. H. A. (2021) · UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia)

Investigating Comparisons Between Human Learning and Machine Learning Using the Dots and Boxes Game

DAVIS, E. (2022) · Durham e-Theses (Durham University)

Konvoluutioneuroverkkojen rakenne ja sovelluksia

Sarikka, T. (2025) · UTUPub (University of Turku)

Neural Time Forecasting With Latent Dynamics

Yin, Z. (2024) · UCL Discovery (University College London)

Natural Language Interface for Operational Forestry Data with Snowflake Cortex Analyst

Heinoja, P. (2024) · Theseus (Ammattikorkeakoulujen)

Towards Machine-Assisted Meta Studies of Astrophysical Data From the Scientific Literature

Crossland, T. D. (2023) · UCL Discovery (University College London)

Automating Forms creation using AI

Ruwodo, V. D. (2024) · UTUPub (University of Turku)

Automated Detection of Renal Masses in Contrast-Enhanced MRI using Deep Learning Methods

Anush, A. (2021) · The Atrium (University of Guelph)

Aprendizagem de máquina aplicada a métodos de classificação de supernovas

Silva, R. D., & 0000000226294436 (2018) · Americanae (AECID Library)

Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning

Gallego-Alcalá, V. (2021) · Library Open Repository (Universidad Complutense Madrid) · doi:10.48550/arxiv.2109.13232

A deep learning approach to aerial LiDAR point cloud segmentation

Lancho, C. G. (2021) · Academica-e (Universidad Pública de Navarra)

Data Science for Internal Audit in Banking: Refinement of an Internal Audit Alarmistic System with Machine Learning

Crisóstomo, L. I. B. C. (2022) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Empowering advanced medical decision-making through machine learning in healthcare

Grieger, M. (2023)

Forecasting power of neural networks in cryptocurrency domain : Forecasting the prices of Bitcoin, Ethereum and Cardano with Gated Recurrent Unit and Long Short-Term Memory

Färm, J. (2022) · Osuva (University of Vaasa)

Hybrid quantum-classical approach to quantum machine learning for computer vision

TIEZZI, N. F. (2023) · Electronic Theses and Dissertations Repository (University of Pisa)

Les IA als instituts: oportunitats i desafiaments en l'educació secundària

Soler Riera, D. (2024) · UPCommons institutional repository (Universitat Politècnica de Catalunya)

Machine learning in combinatorial optimization - an application to machine scheduling

Uzunoglu, A. (2023)

New approaches for the integration of the discrete cosine transform in neural networks for fine-grained image classification

Tan, K. S. Z. (2025) · Nottingham ePrints (University of Nottingham)

Parallel photonic computing based on frequency multiplexing

Lupo, A. (2024) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)

THE PERCEPTRON: A PROBABILISTIC MODEL FOR INFORMATION STORAGE AND ORGANIZATION

Brain, I. T., & Rosenblatt, F. F. (2013)

The perception: a probabilistic model for information storage and organization in the brain

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Upton, D. (2013) · doi:10.4324/9781315846972-11

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