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Academic Articles & Research Papers
Showing 20 of 2,514 academic articles
Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang et al. • Applied Sciences
(2025)
The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tail...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15052383
Michela Prunella, Roberto Maria Scardigno, Domenico Buongiorno, Antonio Brunetti et al. • IEEE Access
(2023)
Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects. Historically, machine learning frameworks, based on hand-crafted ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3271748
Ifiok Udoidiok, Fuhao Li, Jielun Zhang • Information
(2025)
Machine learning (ML) has become a cornerstone of critical applications, but its vulnerability to data poisoning attacks threatens system reliability and trustworthiness. Prior studies have begun to investigate the impact of data poisoning ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info17010009
Johannes Leiner, Vincent Pellissier, Sebastian König, Sven Hohenstein et al. • Respiratory Research
(2022)
Abstract Background Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both i...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12931-022-02180-w
Sebastian Raschka (2015)
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effect...
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Yalın Baştanlar, Mustafa Özuysal • Methods in molecular biology
(2013)
The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity ...
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-1-62703-748-8_7
Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza et al. • Briefings in Bioinformatics
(2006)
This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochast...
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Open Access
DOI: https://doi.org/10.1093/bib/bbk007
• Series in machine perception and artificial intelligence
(2019)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict ...
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DOI: https://doi.org/10.1142/9789811201967_0001
Ethem Alpaydın • The MIT Press eBooks
(2021)
A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product ...
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Open Access
DOI: https://doi.org/10.7551/mitpress/13811.001.0001
Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets
(2021)
Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...
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DOI: https://doi.org/10.1007/s12525-021-00475-2
Ashraf abdallah, Bara' Al-MISTAREHI, Amir SHTAYAT • JES: Journal of Engineering Sciences
(2025)
Agriculture is a vital component of Egypt's economy; therefore, using Digital Elevation Models (DEMs) in agricultural planning in Egypt has significant benefits regarding water management, site appropriateness assessment, flood risk mitigat...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/jesaun.2024.326709.1374
Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering
(2025)
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.eng.2024.10.021
Andrew Martin Cox, Suvodeep Mazumdar A • Journal of Librarianship and Information Science
(2022)
The aim of the paper is to define Artificial Intelligence (AI) for librarians by examining general definitions of AI, analysing the umbrella of technologies that make up AI, defining types of use case by area of library operation, and then ...
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DOI: https://doi.org/10.1177/09610006221142029
S. Pradeesh Hosea, V. Harikrishnan, K. Rajkumar • International Conference on Electronics Computer Technology
(2011)
Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on repres...
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DOI: https://doi.org/10.1109/icectech.2011.5941871
László Kota • Advanced Logistic Systems - Theory and Practice
(2018)
The artificial intelligence undergoes an enormous development since its appearance in the fifties. The computing power has grown exponentially since then, enabling the use of artificial intelligence applications in different areas. Since th...
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DOI: https://doi.org/10.32971/als.2019.004
Yujie You, Xin Lai, Yi Feng Pan, Huiru Zheng et al. • Signal Transduction and Targeted Therapy
(2022)
Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems ...
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DOI: https://doi.org/10.1038/s41392-022-00994-0
PMC: 9090746
Marie‐Laure Ryan • Journal of Aesthetics and Art Criticism
(1993)
From the Publisher:
In this important contribution to narrative theory, Marie-Laure Ryan applies insights from artificial intelligence and the theory of possible worlds to the study of narrative and fiction. For Ryan, the theory of possibl...
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DOI: https://doi.org/10.2307/431530
Fatemeh Bahador, Azam Sabahi, Samaneh Jalali, Fatemeh Ameri • پیاورد سلامت
(2023)
Background and Aim: Diabetes is one of the most common metabolic diseases in Iran and the fifth leading cause of death all over the world. Its spread around the world has created new methods in biomedical research, including artificial inte...
DOAJ
Open Access (DOAJ)
Kurosh Madani, Dominik M. Ramik, Cristophe Sabourin • Applied Computational Intelligence and Soft Computing
(2012)
As part of “intelligence,” the “awareness” is the state or ability to perceive, feel, or be mindful of events, objects, or sensory patterns: in other words, to be conscious of the surrounding environment and its interactions. Inspired by ea...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2012/354785
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