Search Results - binary ing learning with errors*

Learning error-correcting representations for multi-class problems

Authors: Bautista Martín, Miguel Ángel

Contributors: University/Department: Universitat de Barcelona. Departament de Matemàtica Aplicada i Anàlisi

Thesis Advisors: Escalera Guerro, Sergio, Pujol Vila, Oriol

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Codis de correcció d'errors (Teoria de la informació), Códigos correctores de errores (Teoría de la información), Error-correcting codes (Information theory), Presa de decisions multicriteri, Toma de decisiones multicriterio, Multiple criteria decision making, Sistemes classificadors (Intel·ligència artificial), Sistemas clasificadores, Learning classifier systems, Algorismes genètics, Algoritmos genéticos, Genetic algorithms, Matrius (Matemàtica), Matrices (Matemáticas), Matrices, Ciències Experimentals i Matemàtiques

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/396124

UNMASKING CYBER THREATS - LEVERAGING MACHINE LEARNING TO DETECT PHISHING WEBSITES.

Authors: S., Sherine Kirubakaran, S. Stewart Kala, I.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p488-502, 15p

Subject Terms: SOCIAL engineering (Fraud), CYBERTERRORISM, STATISTICAL learning, MACHINE learning, PHISHING

Predicting complaints in semiconductor order fulfilment with machine learning.

Authors: Moder, Patrick Hoberg, Kai

Source: International Journal of Production Research; Jul2025, Vol. 63 Issue 13, p4776-4799, 24p

Subject Terms: CONSUMER behavior, MACHINE learning, CONSUMER complaints, SUPPLY chain management, CUSTOMER satisfaction

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging.

Authors: Su, Hsin-Yueh Hsieh, Shang-Ting Tsai, Kun-Zhe et al.

Source: Journal of X-Ray Science & Technology; 2023, Vol. 31 Issue 6, p1315-1332, 18p

Subject Terms: DEEP learning, PICTURE archiving & communication systems, CONVOLUTIONAL neural networks, IMAGE fusion, SUPPORT vector machines, DIAGNOSTIC imaging

THE ROLES OF LEARNING AND STATUS ATTAINMENT IN SUCCESSFUL NEWCOMER SOCIALIZATION: RANDOM ASSIGNMENTS TO COMPLEX PROJECTS AND EARLY CAREER OUTCOMES.

Authors: LI, SHIHAN KRACKHARDT, DAVID NIEZINK, NYNKE M. D.

Source: Academy of Management Journal; Aug2025, Vol. 68 Issue 4, p787-817, 31p, 2 Diagrams, 10 Charts, 6 Graphs

Subject Terms: HIGH technology industries personnel, NEW employees, ORGANIZATIONAL socialization, TEAMS in the workplace, STATUS attainment, EMPLOYEE promotions, EMPLOYEE bonuses, EMPLOYEE reviews, WORK experience (Employment), CAREER development

Integrating Technical, Temporal, and Sentiment Cues: A Hybrid Deep Learning Approach Optimized by WWO for Stock Market Risk Prediction.

Authors: Veena, D. G. L., Prakash S., Savitha et al.

Source: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 10, p901-915, 15p

Subject Terms: RISK assessment, DEEP learning, MATHEMATICAL optimization, SENTIMENT analysis, PREDICTION models, ECONOMIC indicators, FINANCIAL databases, STOCKS (Finance)

Unassailable citrus disease classification via multi-stage deep ensemble learning with vision transformers.

Authors: Sireesha, Nagineni Venkata Rekha, Gillala Almenweer, Reem A.

Source: Scientific Reports; 11/18/2025, Vol. 15 Issue 1, p1-28, 28p

Subject Terms: DEEP learning, ENSEMBLE learning, CITRUS greening disease, IMAGE recognition (Computer vision), TRANSFORMER models, FOOD security, AGRICULTURAL technology, TEXTURE analysis (Image processing)

Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning.

Authors: Radisic-Aberger, Ognjen Burggräf, Peter Steinberg, Fabian et al.

Source: International Journal of Production Research; Jun2025, Vol. 63 Issue 11, p3913-3937, 25p

Subject Terms: MACHINE learning, ARTIFICIAL intelligence, DEEP learning, AUTOMATED planning & scheduling, PREDICTION models

NEUROFUSION-AD: A HYBRID 3D CNN-TRANSFORMER-BILSTM FRAMEWORK FOR FIVE-STAGE DEMENTIA PREDICTION AND DETECTION FROM STRUCTURAL MRI.

Authors: Bhatt, Kaushal Kishor Sehgal, Parveen

Source: Lex Localis: Journal of Local Self-Government; 2025, Vol. 23 Issue 11, p182-194, 13p

Subject Terms: DEMENTIA, DEEP learning, LONG short-term memory, CLASSIFICATION, MAGNETIC resonance imaging, TRANSFORMER models

Combined Dataset System Based on a Hybrid PCA–Transformer Model for Effective Intrusion Detection Systems.

Authors: Kamal, Hesham Mashaly, Maggie

Source: AI; Aug2025, Vol. 6 Issue 8, p168, 42p

Subject Terms: INTRUSION detection systems (Computer security), MACHINE learning, CYBERTERRORISM, COMPUTER network security, FEATURE selection, DIMENSIONAL reduction algorithms

Artificial intelligence-based personalised learning in education: a systematic literature review.

Authors: Farhood, Helia Nyden, Magnus Beheshti, Amin et al.

Source: Discover Artificial Intelligence; 11/18/2025, Vol. 5 Issue 1, p1-41, 41p

Subject Terms: ARTIFICIAL intelligence, EDUCATIONAL technology, INSTRUCTIONAL systems, LEARNING, SECONDARY education, HIGHER education, INDIVIDUALIZED instruction

A Hybrid Framework for Forest Fire Detection and Severity Prediction using Sequential Deep Learning on Multitemporal Satellite Imagery.

Authors: Bhosale, Rohini Railkar, Poonam

Source: EPJ Web of Conferences; 11/20/2025, Vol. 341, p1-12, 12p

Subject Terms: FOREST fire management, DEEP learning, SUSTAINABLE development, MACHINE learning, LONG short-term memory, REMOTE-sensing images, CHANGE-point problems, FIRE risk assessment

Untamed tongues, wild affects, and Spanish as a world(ing) languaging.

Authors: H. Heinrichs, Danielle

Source: International Journal of Qualitative Studies in Education (QSE); Oct2025, Vol. 38 Issue 9, p1371-1391, 21p

Subject Terms: SPANISH language, AFFECT (Psychology), DECOLONIZATION, FOREIGN language education, DISCOURSE analysis, POSTCOLONIALISM

People: ANZALDUA, Gloria, 1942-2004

Denoising and detection for binary black hole gravitational waves in the context of the Einstein Telescope.

Authors: Ma, CunLiang Liu, ZeHua Gao, ZhiFu et al.

Source: SCIENCE CHINA Physics, Mechanics & Astronomy; Jul2025, Vol. 68 Issue 7, p1-17, 17p

A Hybrid Evaluation Approach for Personalized Learning Effects Based on EEG Data: Integrating Grey Correlation, BP Neural Network and Fuzzy Evaluation.

Authors: Wei, Lijuan Qiu, Jinming

Source: Journal of Grey System; 2025, Vol. 37 Issue 4, p91-105, 15p

Subject Terms: SCIENCE education, LEARNING, FUZZY neural networks, EDUCATIONAL evaluation, INDIVIDUALIZED instruction

A comparative analysis of HOG and LBP feature extraction techniques in AdaBoost for image recognition.

Authors: Ozturk, Aziz Ilyas Yil, Osman

Source: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 2, p696-703, 8p

Subject Terms: ARACHNOID cysts, MACHINE learning, DEEP learning, FEATURE extraction, IMAGE recognition (Computer vision)

UNIFIED INTELLIGENCE FABRIC: AI-DRIVEN DATA ENGINEERING AND DEEP LEARNING FOR CROSS-DOMAIN AUTOMATION AND REAL-TIME GOVERNANCE.

Authors: Nagabhyru, Kushvanth Chowdary Garapati, Ravi Shankar Aitha, Avinash Reddy

Source: Lex Localis: Journal of Local Self-Government; 2025 Supplement, Vol. 23 Issue S6, p3512-3532, 21p

Subject Terms: DEEP learning, AUTOMATION, DATA integration, TRANSFER of training, ARTIFICIAL intelligence, REINFORCEMENT learning

Improving Road Safety Through Machine Learning Based Severity Prediction.

Authors: A., Akil Chakravarthi M., Kamalesh S., Kanishka Devi et al.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p890-902, 13p

Subject Terms: MACHINE learning, TRAFFIC safety, TRAFFIC accidents, TRAFFIC engineering, ROAD safety measures

Mispronunciation detection and diagnosis using deep neural networks: a systematic review.

Authors: Lounis, Meriem Dendani, Bilal Bahi, Halima

Source: Multimedia Tools & Applications; Jul2024, Vol. 83 Issue 23, p62793-62827, 35p

Subject Terms: ARTIFICIAL neural networks, DEEP learning, MACHINE learning, DIAGNOSTIC errors, DIAGNOSIS, SPEECH

SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities.

Authors: Liu, Xiaocheng Le, Meilong Liu, Yupu et al.

Source: Frontiers of Information Technology & Electronic Engineering; Dec2025, Vol. 26 Issue 12, p2397-2420, 24p