Suchergebnisse - computing algorithms and (((bioinformatics OR bioinformatika) OR information) OR informatika)

Differentiable Visual Computing: Challenges and Opportunities

Autoren: Li, Tzu-Mao Pattanaik, Sumanta N

Quelle: IEEE Computer Graphics and Applications. 42(2)

Schlagwörter: Information and Computing Sciences, Machine Learning, Bioengineering, Algorithms, Learning, Neural Networks, Computer, Artificial Intelligence and Image Processing, Electrical and Electronic Engineering, Software Engineering, Computer vision and multimedia computation, Graphics, augmented reality and games, Human-centred computing

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/84p8t2nt
https://escholarship.org/content/qt84p8t2nt/qt84p8t2nt.pdf

A Theoretical Justification for Asymmetric Actor-Critic Algorithms

Autoren: Lambrechts, Gaspard Ernst, Damien Mahajan, Aditya

Quelle: Proceedings of Machine Learning Research (2025-07); International Conference on Machine Learning, Vancouver, Canada [CA], July 15th, 2025

Schlagwörter: Asymmetric Learning, Privileged Information, Finite-Time Bound, Convergence Analysis, Natural Actor Critic, Aliasing, Partially Observable Environment, Privileged Critic, Asymmetric Actor-Critic, Agent-State Policy, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: urn:issn:2640-3498

Zugangs-URL: https://orbi.uliege.be/handle/2268/326874

A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system

Autoren: Cordón García, Oscar De Moya Anegón, Félix Zarco Fernández, Carmen

Quelle: Mathware & soft computing; 2000: Vol.: 7 Núm.: 2-3

Dateibeschreibung: text/html

Relation: https://www.raco.cat/index.php/Mathware/article/view/84808/109805

Zugangs-URL: https://www.raco.cat/index.php/Mathware/article/view/84808

Bibliometric Analysis of Soft Computing's Evolution in Higher Education: Comprehensive Insights and Future Directions

Autoren: Amitabh Verma

Quelle: Journal of Educators Online. 2025 22(4).

Peer Reviewed: Y

Page Count: 14

Descriptors: Bibliometrics, Computer Uses in Education, Computer Science, Higher Education, Foreign Countries, Artificial Intelligence, Pattern Recognition, Computer Networks, Educational Technology, Literature Reviews, Authors, Algorithms, Publications, Journal Articles

Geografische Kategorien: China

Sequential and parallel algorithms for sequence analysis problems in bioinformatics

Autoren: Liu, Xuan

Schlagwörter: 572.8, Sequence analysis, approximate string matching problem, exact string matching problem, shortest common superstring problem, closest string problem, heuristic algorithm, genetic algorithm, simulated annealing algorithm, parallel algorithms

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506205

Quantum Algorithms for Enhanced Educational Technologies

Autoren: Basil Hanafi Mohammad Ali Devyaani Singh

Quelle: Discover Education. 2025 4.

Peer Reviewed: Y

Page Count: 33

Descriptors: Educational Technology, Computer Security, Ethics, Algorithms, Programming, Computation, Individualized Instruction, Database Management Systems, Information Security, Information Dissemination, Educational Change, Computer Uses in Education

Real-Time Krylov Theory for Quantum Computing Algorithms

Autoren: Shen, Yizhi Klymko, Katherine Sud, James et al.

Quelle: Quantum. 7

Schlagwörter: 51 Physical Sciences (for-2020), 49 Mathematical sciences (for-2020), 51 Physical sciences (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/6w32c0d0
https://escholarship.org/content/qt6w32c0d0/qt6w32c0d0.pdf

Derivation and Analysis of Distributed Computing Algorithms in Biological Systems

Autoren: Chandrasekhar, Arjun

Schlagwörter: Bioinformatics, Computer science, Ecology, Algorithms in Nature, Ant Biology, Distributed Computing, Neuroscience, Optimization

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/03v7w5sf
https://escholarship.org/content/qt03v7w5sf/qt03v7w5sf.pdf

Analysis on predict model of railway passenger travel factors judgment with soft-computing methods

Autoren: Yan, Xi Li, Jing

Quelle: Journal of Industrial Engineering and Management; 2014: Vol.: 7 Núm.: 1

Dateibeschreibung: text/html

Relation: https://www.raco.cat/index.php/JIEM/article/view/275657/363625

Zugangs-URL: https://www.raco.cat/index.php/JIEM/article/view/275657

Investigating and Improving Student Understanding of the Basics of Quantum Computing

Autoren: Peter Hu Yangqiuting Li Chandralekha Singh

Quelle: Physical Review Physics Education Research. 2024 20(2).

Peer Reviewed: Y

Page Count: 24

Sponsoring Agency: National Science Foundation (NSF), Division of Physics (PHY)

Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods, Student Attitudes, Difficulty Level, Thinking Skills, Task Analysis, Algorithms, Learning Trajectories, Undergraduate Students, Engineering Education, Science Education, Course Descriptions

Mobile Applications and Delivery of Bioinformatics Education in the Post-Secondary Introductory Biological Science Classroom

Autoren: Joseph Wilcox

Quelle: ProQuest LLC. 2020Ph.D. Dissertation, University of Nevada, Reno.

Peer Reviewed: N

Page Count: 192

Descriptors: Computer Oriented Programs, Biology, Information Science, Postsecondary Education, Introductory Courses, Science Education, Data Analysis, Distance Education, Undergraduate Students, Science Curriculum, Biological Sciences, Technology Integration, Workshops, Lifelong Learning

Zugangs-URL: https://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28256027

An Eye toward the Softer Side of CC2020 Computing Curricula: Professional, Legal, and Ethical Artificial Intelligence Issues

Autoren: Christine Ladwig Dana Schwieger

Quelle: Information Systems Education Journal. 2024 22(1):53-88.

Peer Reviewed: Y

Page Count: 36

Descriptors: Computer Science Education, Curriculum Development, Information Systems, Information Science Education, Artificial Intelligence, Advisory Committees, Ethics, Programming, Legal Problems, Masters Programs, Copyrights, Algorithms, Computer Software, Teaching Methods, Risk Management, Risk, Compliance (Legal)

Extracting insect information from entomological museum collections to identify potential insect pests and beneficials using deep learning methods

Autoren: Noël, Grégoire Delcommune, Nicolas Black, Gautier et al.

Quelle: BrIAS Agri 2025 (2025-02-06); BrIAS Conference on Smart Agriculture, Brussels, Belgium [BE], 06-07/02/2025

Schlagwörter: Engineering, computing & technology, Ingénierie, informatique & technologie

Zugangs-URL: https://orbi.uliege.be/handle/2268/328073

Solving chemical master equation for large biological networks: Novel state-space expansion algorithm based on artificial intelligence and Bayesian standards: A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy at Lincoln University

Weitere Verfasser: Kosarwal, Rahul

Verfügbarkeit: http://api.digitalnz.org/records/52621183/source

Degree: Doctoral

Improvement to the cooperative rules methodology by using the ant colony system algorithm

Autoren: Alcalá Fernández, Rafael Casillas Barranquero, Jorge Cordón García, Oscar et al.

Quelle: Mathware & soft computing; 2001: Vol.: 8 Núm.: 3

Dateibeschreibung: text/html

Relation: https://www.raco.cat/index.php/Mathware/article/view/84842/109839

Zugangs-URL: https://www.raco.cat/index.php/Mathware/article/view/84842

Subspace methods for electronic structure simulations on quantum computers

Autoren: Motta, Mario Kirby, William Liepuoniute, Ieva et al.

Quelle: Electronic Structure. 6(1)

Schlagwörter: Engineering, Information and Computing Sciences, Applied Computing, Electronics, Sensors and Digital Hardware, Physical Sciences, Atomic, Molecular and Optical Physics

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/2x71n4j0
https://escholarship.org/content/qt2x71n4j0/qt2x71n4j0.pdf

FluxRETAP: a REaction TArget Prioritization genome-scale modeling technique for selecting genetic targets

Autoren: Czajka, Jeffrey J Kim, Joonhoon Tang, Yinjie J et al.

Quelle: Bioinformatics. 41(9)

Schlagwörter: 31 Biological Sciences (for-2020), 3106 Industrial Biotechnology (for-2020), Genetics (rcdc), Biotechnology (rcdc), Bioengineering (rcdc), Escherichia coli (mesh), Metabolic Engineering (mesh), Software (mesh), Synthetic Biology (mesh), Pseudomonas putida (mesh), Machine Learning (mesh), Genome, Bacterial (mesh), Algorithms (mesh), Metabolic Networks and Pathways (mesh), Pseudomonas putida (mesh), Escherichia coli (mesh), Genome, Bacterial (mesh), Algorithms (mesh), Software (mesh), Metabolic Networks and Pathways (mesh), Synthetic Biology (mesh), Metabolic Engineering (mesh), Machine Learning (mesh), Escherichia coli (mesh), Metabolic Engineering (mesh), Software (mesh), Synthetic Biology (mesh), Pseudomonas putida (mesh), Machine Learning (mesh), Genome, Bacterial (mesh), Algorithms (mesh), Metabolic Networks and Pathways (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/1n5748bq
https://escholarship.org/content/qt1n5748bq/qt1n5748bq.pdf

DNABERT-S: pioneering species differentiation with species-aware DNA embeddings

Autoren: Zhou, Zhihan Wu, Weimin Ho, Harrison et al.

Quelle: Bioinformatics. 41(Supplement_1)

Schlagwörter: 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), 3105 Genetics (for-2020), 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Human Genome (rcdc), Genetics (rcdc), Generic health relevance (hrcs-hc), 3 Good Health and Well Being (sdg), Sequence Analysis, DNA (mesh), DNA (mesh), Genomics (mesh), Algorithms (mesh), Species Specificity (mesh), Genome (mesh), 46 Information and Computing Sciences (for-2020), 31 Biological Sciences (for-2020), 3105 Genetics (for-2020), 4611 Machine Learning (for-2020), Human Genome (rcdc), Genetics (rcdc), Generic health relevance (hrcs-hc), 3 Good Health and Well Being (sdg), DNA (mesh), Sequence Analysis, DNA (mesh), Genomics (mesh), Species Specificity (mesh), Genome (mesh), Algorithms (mesh), Sequence Analysis, DNA (mesh), DNA (mesh), Genomics (mesh), Algorithms (mesh), Species Specificity (mesh), Genome (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/9kf0s9g0
https://escholarship.org/content/qt9kf0s9g0/qt9kf0s9g0.pdf

SetBERT: the deep learning platform for contextualized embeddings and explainable predictions from high-throughput sequencing

Autoren: Ludwig, David W Guptil, Christopher Alexander, Nicholas R et al.

Quelle: Bioinformatics. 41(7)

Schlagwörter: 46 Information and Computing Sciences (for-2020), 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Human Genome (rcdc), Genetics (rcdc), Machine Learning and Artificial Intelligence (rcdc), 3 Good Health and Well Being (sdg), Deep Learning (mesh), High-Throughput Nucleotide Sequencing (mesh), Sequence Analysis, DNA (mesh), Microbiota (mesh), Software (mesh), Computational Biology (mesh), Algorithms (mesh), Sequence Analysis, DNA (mesh), Computational Biology (mesh), Algorithms (mesh), Software (mesh), High-Throughput Nucleotide Sequencing (mesh), Microbiota (mesh), Deep Learning (mesh), Deep Learning (mesh), High-Throughput Nucleotide Sequencing (mesh), Sequence Analysis, DNA (mesh), Microbiota (mesh), Software (mesh), Computational Biology (mesh), Algorithms (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/7b07t0b7
https://escholarship.org/content/qt7b07t0b7/qt7b07t0b7.pdf

Kingdom-wide CRISPR guide design with ALLEGRO

Autoren: Mohseni, Amirsadra Nia, Reyhane Ghorbani Tafrishi, Aida et al.

Quelle: Nucleic Acids Research. 53(15)

Schlagwörter: Biological Sciences, Bioinformatics and Computational Biology, Biotechnology, Genetics, Human Genome, Generic health relevance, RNA, Guide, CRISPR-Cas Systems, CRISPR-Cas Systems, Genome, Fungal, Gene Editing, Algorithms, Kluyveromyces, Saccharomyces cerevisiae, Clustered Regularly Interspaced Short Palindromic Repeats, Yarrowia, Rhodotorula, Gene Library, Saccharomycetales, Environmental Sciences, Information and Computing Sciences, Developmental Biology, Biological sciences, Chemical sciences, Environmental sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/9zm954ng
https://escholarship.org/content/qt9zm954ng/qt9zm954ng.pdf