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Quantum Computing for Computer Scientists

Noson S. Yanofsky, Mirco A. Mannucci • Cambridge University Press eBooks (2008)

The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511813887

A ROADMAP FOR A COMPUTATIONAL THEORY OF THE VALUE OF INFORMATION IN ORIGIN OF LIFE QUESTIONS

Soumya Banerjee • Interdisciplinary Description of Complex Systems (2016)

Information plays a critical role in complex biological systems. Complex systems like immune systems and ant colonies co-ordinate heterogeneous components in a decentralized fashion. How do these distributed decentralized systems function? ...

DOAJ Open Access (DOAJ) DOI: 10.7906/indecs.14.3.4

Feddsg: backdoor defense via semantic filter and geometric constraint in federated learning

Jiabao Zhang, Jianhua Wang, Yuhong Li, Zhuangzhuang Zhang et al. • Cybersecurity (2026)

Abstract Backdoor attacks pose a serious threat to Internet-of-Things (IoT) federated learning. In IoT deployments, pronounced non-independent and identically distributed (non-IID) data heterogeneity causes benign client updates to exhibit ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42400-026-00625-z

Materials Science Forum

D. Dompoint, Irina G. Galben-Sandulache, Boulle, Alexandre, Didier Chaussende et al. • Materials science forum (2026)

Materials Science Forum (MSF) is a peer-reviewed journal. The journal scope covers all aspects of theoretical, computational and experimental research in the area of materials science. It includes but is not limited to materials synthesis, ...

OPENALEX Open Access DOI: https://doi.org/10.4028/www.scientific.net/msf

The Effectiveness of Arabic Stemmers Using Arabized Word Removal

Hamood ALshalabi, Sabrina Tiun, Nazlia Omar, Kamal Ali Alezabi et al. • International Journal of Information Science and Management (2022)

Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these facto...

DOAJ Open Access (DOAJ)

A Wilson–Cowan reservoir computer for interpretable spatiotemporal vision

Sharmarke A. Gabayre, Sergey Savel’ev, Varuna De Silva, Mindula Illeperuma et al. • Scientific Reports (2026)

Abstract We present a Wilson–Cowan reservoir computer (WC–RC) that treats a retinotopic excitatory–inhibitory neural field as a structured reservoir. Travelling waves and bounded oscillations provide an interpretable spatiotemporal basis, w...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-49359-5

Fashion Meets Computer Vision

Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati et al. • ACM Computing Surveys (2021)

Fashion is the way we present ourselves to the world and has become one of the world’s largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the rap...

OPENALEX Open Access DOI: https://doi.org/10.1145/3447239

Neural Networks for Pattern Recognition

Albert Nigrin • The MIT Press eBooks (1993)

In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural network...

OPENALEX DOI: https://doi.org/10.7551/mitpress/4923.001.0001

Overcoming catastrophic forgetting in neural networks

James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, Joel Veness et al. • Proceedings of the National Academy of Sciences (2017)

The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of this and it has been widely thought that catastrophic forgetting is an inevitabl...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.1611835114 PMC: 5380101

Fundamentals of Artificial Neural Networks

Mohamad H. Hassoun • Proceedings of the IEEE (1996)

From the Publisher: As book review editor of the IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity to assess the multitude of books on artificial neural networks that have appeared in recent years. Now, in Funda...

OPENALEX DOI: https://doi.org/10.1109/jproc.1996.503146

Q-Learning Based Joint Energy-Spectral Efficiency Optimization in Multi-Hop Device-to-Device Communication

Muhidul Islam Khan, Luca Reggiani, Muhammad Mahtab Alam, Yannick Le Moullec et al. • Sensors (2020)

In scenarios, like critical public safety communication networks, On-Scene Available (OSA) user equipment (UE) may be only partially connected with the network infrastructure, e.g., due to physical damages or on-purpose deactivation by the ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s20226692

Washability and abrasion resistance of illuminative knitted e-textiles with POFs and silver-coated conductive yarns

Ngan Yi Kitty Lam, Jeanne Tan, Anne Toomey, Ka Chun Jimmy Cheuk • Fashion and Textiles (2022)

Abstract For the integration of conductive yarns in e-textiles, knitting offers structural versatility and malleability for wider product applications in the contexts of wearables and interiors. To enable mass adoption of conductive materia...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40691-022-00313-9

How Technology Characteristics and Social Factors Shape Consumer Behavior in Artificial Intelligence-Powered Fashion Curation Platforms

Dayun Jeong • Journal of Theoretical and Applied Electronic Commerce Research (2026)

The rapid evolution of technology characteristics has significantly influenced various sectors, including fashion, in which technology-enabled platforms have increasingly been utilized to enhance personalization and consumer engagement. Thi...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer21030081

The Promise of Artificial Intelligence

Brian Cantwell Smith • The MIT Press eBooks (2019)

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere...

OPENALEX DOI: https://doi.org/10.7551/mitpress/12385.001.0001

Early math interest and the development of math skills.

Paige H. Fisher, Jennifer Dobbs‐Oates, Greta L. Doctoroff, David Harvey Arnold • Journal of Educational Psychology (2012)

Prior models suggest that math attitudes and ability might strengthen each other over time in a reciprocal fashion (Ma, 1997). The current study investigated the relationship between math interest and skill both concurrently and over time i...

OPENALEX DOI: https://doi.org/10.1037/a0027756

Is Math Anxiety Always Bad for Math Learning? The Role of Math Motivation

Zhe Wang, Sarah L. Lukowski, Sara Ann Hart, Ian M. Lyons et al. • Psychological Science (2015)

The linear relations between math anxiety and math cognition have been frequently studied. However, the relations between anxiety and performance on complex cognitive tasks have been repeatedly demonstrated to follow a curvilinear fashion. ...

OPENALEX Open Access DOI: https://doi.org/10.1177/0956797615602471 PMC: 4679544