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Academic Articles & Research Papers
Showing 20 of 777 academic articles
S. Sra, S. Nowozin, Stephen J. Wright • The MIT Press eBooks
(2011)
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments ...
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DOI: https://doi.org/10.7551/mitpress/8996.001.0001
• 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
Majid Riaz, Pedro Guerra, Raffaele Gravina • Sensors
(2025)
This paper introduces an innovative EEG sensor-based computational framework that establishes a pioneering nexus between personality trait quantification and neural dynamics, leveraging biosignal processing of brainwave activity to elucidat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25247634
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...
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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
Ryunosuke Noda, Daisuke Ichikawa, Yugo Shibagaki • Scientific Reports
(2024)
Abstract Minimal change disease (MCD) is a common cause of nephrotic syndrome. Due to its rapid progression, early detection is essential; however, definitive diagnosis requires invasive kidney biopsy. This study aims to develop non-invasiv...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-73898-4
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
Mohammad Mofatteh • AIMS neuroscience
(2021)
Neurosurgeons receive extensive and lengthy training to equip themselves with various technical skills, and neurosurgery require a great deal of pre-, intra- and postoperative clinical data collection, decision making, care and recovery. Th...
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DOI: https://doi.org/10.3934/neuroscience.2021025
PMC: 8611194
Jen-Yu Wen, Chung-Fen Liu, Ming-Ting Chung, Yung-Chieh Tsai • Taiwanese Journal of Obstetrics & Gynecology
(2022)
Objective: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study aims to construct artificial intelligence models to predict the pregnancy outcome and mul...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.tjog.2021.11.038
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...
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Open Access (DOAJ)
Shao-Feng Wang, Ke-Yi Liu, Yang Liu, Fei-Yang Zhao et al. • Scientific Reports
(2026)
Abstract Artificial intelligence technology, based on big data algorithms, can replace much of the repetitive and rule-based work. However, whether AI can substitute the roles of artists or designers in the art and design industry, which pr...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-51244-0
Anthony B. Lisacek-Kiosoglous, Amber S. Powling, Andreas Fontalis, Ayman Gabr et al. • Bone and Joint Research
(2023)
The use of artificial intelligence (AI) is rapidly growing across many domains, of which the medical field is no exception. AI is an umbrella term defining the practical application of algorithms to generate useful output, without the need ...
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DOI: https://doi.org/10.1302/2046-3758.127.bjr-2023-0111.r1
PMC: 10329876
Madalina Busuioc • Public Administration Review
(2020)
Artificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live and are transforming our societies. The promise of efficient, low-cost, or "neutral" solutions harnessing the potential of big data has led public...
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DOI: https://doi.org/10.1111/puar.13293
PMC: 8518786
Benjamin Hunter, Sumeet Hindocha, Richard W. Lee • Cancers
(2022)
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tumour groups, screening programmes have led to improvements in survival, but patient selection and risk stra...
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DOI: https://doi.org/10.3390/cancers14061524
PMC: 8946688
Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології
(2025)
Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...
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Open Access (DOAJ)
DOI: 10.31891/csit-2025-2-3
Pięta Piotr, Szmuc Tomasz • International Journal of Applied Mathematics and Computer Science
(2021)
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...
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Open Access (DOAJ)
DOI: 10.34768/amcs-2021-0046
Peter Vas (1999)
Abstract Recently artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have received increased attention world-wide and at present two industrial drives incorporate some for...
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DOI: https://doi.org/10.1093/oso/9780198593973.001.0001
Safa R. Mahmood, Shahbaa I. Khaleel • المجلة العراقية للعلوم الاحصائية
(2026)
This work presents a comprehensive overview of nature-inspired optimization algorithms their components, classifications, and applications in various domains. The paper focuses on the importance of basic technique in swarm optimization algo...
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Open Access (DOAJ)
DOI: 10.33899/iqjoss.v23i1.62135
Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik et al. • Applied Sciences
(2024)
This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applicatio...
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Open Access (DOAJ)
DOI: 10.3390/app15010008