Search Results - computing algorithms and ((informatics OR information) OR informatika)

The second age of computer science : from ALGOL genes to neural nets by Dasgupta, Subrata

“…Between the genesis of computer science in the 1960s and the advent of the World Wide Web around 1990, computer science evolved in significant ways. The author…”
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Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics by Zhang, Ke, Zhu, Yongxu, Leng, Supeng, He, Yejun, Maharjan, Sabita, Zhang, Yan

“… In this context, autonomous driving is an attractive issue, which leverages large amounts of sensory information for smart navigation while posing intensive computation demands on resource constrained vehicles…”
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New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics by Mokhtari, Majid, Khoshbakht, Samane, Ziyaei, Kobra, Akbari, Mohammad Esmaeil, Moravveji, Sayyed Sajjad

“…s. This new field employs the principles of quantum mechanics, quantum algorithms, and quantum computing to solve complex problems in molecular biology, drug design, and protein folding…”
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Engineering informatics: fundamentals of computer-aided engineering by Benny Raphael, Ian F. C. Smith

“…). Engineering Informatics: Fundamentals of Computer-Aided Engineering, 2nd Edition provides the foundation knowledge of computing that is essential for all engineers…”
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Unipro UGENE: a unified bioinformatics toolkit by Okonechnikov, Konstantin, Golosova, Olga, Fursov, Mikhail

“…Unipro UGENE is a multiplatform open-source software with the main goal of assisting molecular biologists without much expertise in bioinformatics to manage, analyze and visualize their data…”
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Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics by Lu, Yunlong, Huang, Xiaohong, Dai, Yueyue, Maharjan, Sabita, Zhang, Yan

“…Driven by technologies such as mobile edge computing and 5G, recent years have witnessed the rapid development of urban informatics, where a large amount of data is generated…”
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Quantum computing in bioinformatics: a systematic review mapping by Nałęcz-Charkiewicz, Katarzyna, Charkiewicz, Kamil, Nowak, Robert M

“…Abstract The field of quantum computing (QC) is expanding, with efforts being made to apply it to areas previously covered by classical algorithms and methods…”
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ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community by Castrignanò, Tiziana, Gioiosa, Silvia, Flati, Tiziano, Cestari, Mirko, Picardi, Ernesto, Chiara, Matteo, Fratelli, Maddalena, Amente, Stefano, Cirilli, Marco, Tangaro, Marco Antonio, Chillemi, Giovanni, Pesole, Graziano, Zambelli, Federico

“… Modern biological experiments are increasingly becoming both data and computationally intensive and the wealth of publicly available biological data is introducing bioinformatics into the “Big Data” era…”
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Molecular Computing and Bioinformatics by Liang, Xin, Zhu, Wen, Lv, Zhibin, Zou, Quan

“…Molecular computing and bioinformatics are two important interdisciplinary sciences that study molecules and computers…”
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Comparing different supervised machine learning algorithms for disease prediction by Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul, Moni, Mohammad Ali

“…Background Supervised machine learning algorithms have been a dominant method in the data mining field…”
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Bioimage informatics: Investing in software usability is essential by Paul-Gilloteaux, Perrine

“… The rapid adoption of this software speaks to the importance of user experience to disseminate new methods of bioimage informatics…”
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Statistical advances in the biomedical sciences: clinical trials, epidemiology, survival analysis, and bioinformatics by Biswas, Atanu, Datta, Sujay, Fine, Jason P, Segal, Mark R

“… in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings…”
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Open data and algorithms for open science in AI-driven molecular informatics by Brinkhaus, Henning Otto, Rajan, Kohulan, Schaub, Jonas, Zielesny, Achim, Steinbeck, Christoph

“…Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics…”
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Guest Editorial: Special Issue on Theoretical Informatics by Kohayakawa, Yoshiharu, Miyazawa, Flávio K.

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Feature selection methods for big data bioinformatics: A survey from the search perspective by Wang, Lipo, Wang, Yaoli, Chang, Qing

“…This paper surveys main principles of feature selection and their recent applications in big data bioinformatic…”
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Interpreting Concept Learning in Cognitive Informatics and Granular Computing by Yao, Yiyu

“…Cognitive informatics and granular computing are two emerging fields of study concerning information and knowledge processing…”
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Nearest neighbor imputation algorithms: a critical evaluation by Beretta, Lorenzo, Santaniello, Alessandro

“…Background Nearest neighbor (NN) imputation algorithms are efficient methods to fill in missing data where each missing value on some records is replaced by a value obtained from related cases in the whole set of records…”
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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective by Amann, Julia, Blasimme, Alessandro, Vayena, Effy, Frey, Dietmar, Madai, Vince I.

“…Background Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though…”
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A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms by Carrington, André M., Fieguth, Paul W., Qazi, Hammad, Holzinger, Andreas, Chen, Helen H., Mayr, Franz, Manuel, Douglas G.

“… However, these alternatives cannot be as fully interpreted as the AUC, in part because they ignore some information about actual negatives…”
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MatGPT: A Vane of Materials Informatics from Past, Present, to Future by Wang, Zhilong, Chen, An, Tao, Kehao, Han, Yanqiang, Li, Jinjin

“… with “data” as the basic factor and “algorithm + computing power” as the core productivity…”
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