Search Results - computer learning and pattern recognition::(automated OR automatic) problem solving

Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild

Authors: Pugh, Samuel L. Subburaj, Shree Krishna Rao, Arjun Ramesh et al.

Source: International Educational Data Mining Society. 2021.

Peer Reviewed: Y

Page Count: 13

Sponsoring Agency: Institute of Education Sciences (ED)
National Science Foundation (NSF)

Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students, Automation, Pattern Recognition, Speech, Natural Language Processing, Videoconferencing, Mathematics, Physics, Artificial Intelligence, Computer Uses in Education, Accuracy, Classification

IES Funded: Yes

Control chart pattern recognition for small samples based on Siamese Neural Network.

Authors: Zhou, Kangqu Chen, Yunhe Xiong, Weiqing et al.

Source: Quality Engineering; 2025, Vol. 37 Issue 1, p64-78, 15p

Subject Terms: CONVOLUTIONAL neural networks, PATTERN recognition systems, QUALITY control, MANUFACTURING processes, PROBLEM solving

Integrating problem-based learning and computational thinking: cultivating creative thinking in primary education.

Authors: Ji, Wancen Wong, Gary K. W.

Source: Frontiers in Education; 2025, p1-20, 20p

Subject Terms: PROBLEM-based learning, CREATIVE thinking, DESIGN techniques, EDUCATIONAL intervention, PRIMARY education, CREATIVE ability, SYSTEMS theory

Performance evaluation of low resolution lip recognition algorithm.

Authors: Zhou, Hongcheng

Source: Journal of Computational Methods in Sciences & Engineering; 2024, Vol. 24 Issue 4/5, p2561-2569, 9p

Subject Terms: CONVOLUTIONAL neural networks, PATTERN recognition systems, COMPUTER vision, FORENSIC medicine, PROBLEM solving

KGE-UNIT: toward the unification of molecular interactions prediction based on knowledge graph and multi-task learning on drug discovery

Authors: Zhang, Chengcheng Zang, Tianyi Zhao, Tianyi

Source: Brief Bioinform

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Area Under Curve, Drug Discovery, Problem Solving Protocol, Learning, Drug Interactions, Neural Networks, Computer, Pattern Recognition, Automated

Access URL: https://pubmed.ncbi.nlm.nih.gov/38348746

A microbial knowledge graph-based deep learning model for predicting candidate microbes for target hosts

Authors: Jie Pan Zhen Zhang Ying Li et al.

Source: Brief Bioinform

Subject Terms: 0301 basic medicine, 03 medical and health sciences, Deep Learning, Bacteria, 0206 medical engineering, Problem Solving Protocol, Humans, Neural Networks, Computer, 02 engineering and technology, Algorithms, Pattern Recognition, Automated

Access URL: https://pubmed.ncbi.nlm.nih.gov/38555472

Automated Machine Learning : Methods, Systems, Challenges

Authors: Frank Hutter Lars Kotthoff Joaquin Vanschoren

Resource Type: eBook.

Subjects: Machine learning

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

Deep learning for industrial image: challenges, methods for enriching the sample space and restricting the hypothesis space, and possible issue.

Authors: Liu, Tianyuan Bao, Jinsong Wang, Junliang et al.

Source: International Journal of Computer Integrated Manufacturing; Oct/Nov2022, Vol. 35 Issue 10/11, p1077-1106, 30p, 1 Color Photograph, 16 Diagrams, 1 Graph

Subject Terms: DEEP learning, COMPUTATIONAL learning theory, PATTERN recognition systems, IMAGE recognition (Computer vision), PROBLEM solving, PRODUCT improvement

Bridging Algorithms And Intelligence: Ai Integration In Core Computer Science Solutions.

Authors: Sadashiv, Bhimade Shamsundar Bansal, Rishab Suny, Jubayer et al.

Source: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p710-719, 10p

Subject Terms: ARTIFICIAL intelligence, ALGORITHMS, DEEP learning, MACHINE learning, COMPUTER science, ADAPTIVE control systems, REINFORCEMENT learning, NATURAL language processing

Abstract thought in STEM education: an integrative literature review.

Authors: Vermehren, J. A. Vega Trikoili, A. Pittich, D.

Source: International Journal of STEM Education; 10/9/2025, Vol. 12 Issue 1, p1-23, 23p

Subject Terms: ABSTRACT thought, STEM education, PROBLEM solving, THEMATIC analysis, COGNITIVE ability, INTERDISCIPLINARY education, CURRICULUM planning, ABSTRACTION (Computer science)

One shot ancient character recognition with siamese similarity network.

Authors: Liu, Xuxing Gao, Weize Li, Rankang et al.

Source: Scientific Reports; 9/1/2022, Vol. 12 Issue 1, p1-15, 15p

Subject Terms: ARTIFICIAL neural networks, DEEP learning, PATTERN recognition systems, ANCIENT history, HANDWRITING recognition (Computer science), PROBLEM solving

Few-shot Learning in Intelligent Agriculture: A Review of Methods and Applications.

Authors: Jing NI Yichen YUAN Yang LI et al.

Source: Journal of Agricultural Sciences / Tarim Bilimleri Dergisi; 2024, Vol. 30 Issue 2, p216-228, 13p

Subject Terms: DEEP learning, PATTERN recognition systems, AGRICULTURE, ACQUISITION of data, PROBLEM solving, DATA augmentation

Assessing Computational Thinking in Engineering and Computer Science Students: A Multi-Method Approach.

Authors: Pirzado, Farman Ali Ahmed, Awais Hussain, Sadam et al.

Source: Education Sciences; Mar2025, Vol. 15 Issue 3, p344, 26p

Subject Terms: PATTERN recognition systems, COMPUTER science students, SCIENTIFIC computing, DIGITAL technology, ENGINEERING students

Charting a course: Exploring computational thinking skills in statistics content among junior high school students.

Authors: Astuti, Astuti Suryawati, Evi Suanto, Elfis et al.

Source: Journal of Pedagogical Research (JPR); Mar2025, Vol. 9 Issue 1, p182-202, 21p

Subject Terms: COGNITIVE ability, PROBLEM solving, JUNIOR high schools, MATHEMATICS education, DIGITAL technology, CRITICAL thinking, CURRICULUM planning, QUALITATIVE research

Recognition of domestic Felis Catus vocalisations using a computational associative model.

Authors: Samantha Morales-Rodríguez, Úrsula Juan Carbajal-Hernández, José Luna-Benoso, Benjamín et al.

Source: Journal of Animal Behavior & Biometeorology. Jul2024, Vol. 12 Issue 3, p1-19. 19p.

Subjects: Cats, Signals & signaling, Noise (Work environment), Spectral energy distribution, Pets, Pattern perception

Identifying Client-Server Behaviours in Legacy Erlang Systems.

Authors: Erdei, Zsófia Tóth, Melinda Bozó, István

Source: Acta Cybernetica; 2024, Vol. 26 Issue 3, p405-429, 25p

Subject Terms: PATTERN recognition systems, LEGACY systems, SOURCE code, PROBLEM solving, COMPUTER software

Reflections and Pattern Recognition in Problem Based Learning.

Authors: Torgal, Vaishnavi Hegade, Prakash Shettar, Ashok

Source: Journal of Engineering Education Transformations; 2024 Special Issue, Vol. 37, p719-725, 7p

Subject Terms: PROBLEM-based learning, PATTERN perception, AUTODIDACTICISM, COGNITIVE styles, CRITICAL thinking

Particle Swarm Optimization with Double Learning Patterns

Authors: Jian Chen Linna Wei Chuanhua Zeng et al.

Source: Comput Intell Neurosci

Subject Terms: Benchmarking, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Humans, Learning, Computer Simulation, 02 engineering and technology, Biological Evolution, Problem Solving, Research Article, Pattern Recognition, Automated, Probability

Access URL: http://downloads.hindawi.com/journals/cin/2016/6510303.pdf
https://pubmed.ncbi.nlm.nih.gov/26858747

Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions

Authors: Y.D. Agafonova A.V. Gaidel P.M. Zelter et al.

Source: Компьютерная оптика, Vol 47, Iss 1, Pp 152-159 (2023)

Subject Terms: deep learning, computed tomography, computer-aided diagnosis, pattern recognition, natural language processing, Information theory, Q350-390, Optics. Light, QC350-467

File Description: electronic resource

Relation: https://computeroptics.ru/eng/KO/Annot/KO47-1/470117e.html; https://doaj.org/toc/0134-2452; https://doaj.org/toc/2412-6179

Access URL: https://doaj.org/article/34dc402caabf4a0d9657ffea49c3afcd

An optimized BERT fine-tuned model using an artificial bee colony algorithm for automatic essay score prediction.

Authors: Chassab, Ridha Hussein Zakaria, Lailatul Qadri Tiun, Sabrina

Source: PeerJ Computer Science; Sep2024, p1-21, 21p

Subject Terms: METAHEURISTIC algorithms, BEES algorithm, PROBLEM solving, ALGORITHMS, FREEZING