Results for 'algorithmic systems'

977 found
Order:
  1.  29
    Time to re-humanize algorithmic systems.Minna Ruckenstein - 2023 - AI and Society 38 (3):1241-1242.
  2. Algorithms as culture: Some tactics for the ethnography of algorithmic systems.Nick Seaver - 2017 - Big Data and Society 4 (2).
    This article responds to recent debates in critical algorithm studies about the significance of the term “algorithm.” Where some have suggested that critical scholars should align their use of the term with its common definition in professional computer science, I argue that we should instead approach algorithms as “multiples”—unstable objects that are enacted through the varied practices that people use to engage with them, including the practices of “outsider” researchers. This approach builds on the work of Laura Devendorf, Elizabeth Goodman, (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   49 citations  
  3.  20
    Bearing Account-able Witness to the Ethical Algorithmic System.Daniel Neyland - 2016 - Science, Technology, and Human Values 41 (1):50-76.
    This paper explores how accountability might make otherwise obscure and inaccessible algorithms available for governance. The potential import and difficulty of accountability is made clear in the compelling narrative reproduced across recent popular and academic reports. Through this narrative we are told that algorithms trap us and control our lives, undermine our privacy, have power and an independent agential impact, at the same time as being inaccessible, reducing our opportunities for critical engagement. The paper suggests that STS sensibilities can provide (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   24 citations  
  4.  17
    Beyond algorithmic reformism: Forward engineering the designs of algorithmic systems.Peter Polack - 2020 - Big Data and Society 7 (1).
    This article develops a method for investigating the consequences of algorithmic systems according to the documents that specify their design constrains. As opposed to reverse engineering algorithms to identify how their logic operates, the article proposes to design or "forward engineer" algorithmic systems in order to theorize how their consequences are informed by design constraints: the specific problems, use cases, and presuppositions that they respond to. This demands a departure from algorithmic reformism, which responds to (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  5.  19
    Producing “one vast index”: Google Book Search as an algorithmic system.Paul N. Edwards & Melissa K. Chalmers - 2017 - Big Data and Society 4 (2).
    In 2004, Google embarked on a massive book digitization project. Forty library partners and billions of scanned pages later, Google Book Search has provided searchable text access to millions of books. While many details of Google’s conversion processes remain proprietary secret, here we piece together their general outlines by closely examining Google Book Search products, Google patents, and the entanglement of libraries and computer scientists in the longer history of digitization work. We argue that far from simply “scanning” books, Google’s (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  6.  22
    Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture.R. Stuart Geiger - 2017 - Big Data and Society 4 (2).
    Scholars and practitioners across domains are increasingly concerned with algorithmic transparency and opacity, interrogating the values and assumptions embedded in automated, black-boxed systems, particularly in user-generated content platforms. I report from an ethnography of infrastructure in Wikipedia to discuss an often understudied aspect of this topic: the local, contextual, learned expertise involved in participating in a highly automated social–technical environment. Today, the organizational culture of Wikipedia is deeply intertwined with various data-driven algorithmic systems, which Wikipedians rely (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   6 citations  
  7. Algorithms and Autonomy: The Ethics of Automated Decision Systems.Alan Rubel, Clinton Castro & Adam Pham - 2021 - Cambridge University Press.
    Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work… the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   11 citations  
  8.  3
    Learning algorithms versus automatability of Frege systems.Ján Pich & Rahul Santhanam - forthcoming - Journal of Mathematical Logic.
    We connect learning algorithms and algorithms automating proof search in propositional proof systems: for every sufficiently strong, well-behaved propositional proof system [Formula: see text], we prove that the following statements are equivalent, (1) Provable learning. [Formula: see text] proves efficiently that p-size circuits are learnable by subexponential-size circuits over the uniform distribution with membership queries. (2) Provable automatability. [Formula: see text] proves efficiently that [Formula: see text] is automatable by non-uniform circuits on propositional formulas expressing p-size circuit lower bounds. (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  9.  40
    Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system.Doron Kliger, Tsvi Kuflik & Avital Shulner-Tal - 2022 - Ethics and Information Technology 24 (1).
    In light of the widespread use of algorithmic (intelligent) systems across numerous domains, there is an increasing awareness about the need to explain their underlying decision-making process and resulting outcomes. Since oftentimes these systems are being considered as black boxes, adding explanations to their outcomes may contribute to the perception of their transparency and, as a result, increase users’ trust and fairness perception towards the system, regardless of its actual fairness, which can be measured using various fairness (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  10. A Framework for Assurance Audits of Algorithmic Systems.Benjamin Lange, Khoa Lam, Borhane Hamelin, Davidovic Jovana, Shea Brown & Ali Hasan - 2024 - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency 1:1078-1092.
    An increasing number of regulations propose the notion of ‘AI audits’ as an enforcement mechanism for achieving transparency and accountability for artificial intelligence (AI) systems. Despite some converging norms around various forms of AI auditing, auditing for the purpose of compliance and assurance currently have little to no agreed upon practices, procedures, taxonomies, and standards. We propose the ‘criterion audit’ as an operationalizable compliance and assurance external audit framework. We model elements of this approach after financial auditing practices, and (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  11.  14
    Explaining Away Some Challenges for Explaining Advanced Algorithmic Systems.Joseph Spino - 2022 - Southwest Philosophy Review 38 (1):145-153.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  12. Algorithmic Political Bias in Artificial Intelligence Systems.Uwe Peters - 2022 - Philosophy and Technology 35 (2):1-23.
    Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  13.  22
    Robust Algorithms for a Multimodal Biometric System Using Palmprint and Speech.R. Raghavendra - 2011 - Journal of Intelligent Systems 20 (4):305-326.
    In this paper, we propose a person verification scheme using a novel combination of palmprint and speech. The crucial aspect of biometric based verification lies in its use of features in verification. Thus, in this paper, we propose two novel feature extraction methods for palmprint verification. The proposed methods are based on the Gaussian mixture model followed by subspace based approaches such as ICA I and ICA II, called independent component analysis I mixture model and independent component analysis II mixture (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  14. Bias in Information, Algorithms, and Systems.Alan Rubel, Clinton Castro & Adam Pham - 2018 - In Jo Bates, Paul D. Clough, Robert Jäschke & Jahna Otterbacher, Proceedings of the International Workshop on Bias in Information, Algorithms, and Systems (BIAS). pp. 9-13.
    We argue that an essential element of understanding the moral salience of algorithmic systems requires an analysis of the relation between algorithms and agency. We outline six key ways in which issues of agency, autonomy, and respect for persons can conflict with algorithmic decision-making.
    Direct download  
     
    Export citation  
     
    Bookmark  
  15. The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems.Kathleen Creel & Deborah Hellman - 2022 - Canadian Journal of Philosophy 52 (1):26-43.
    This article examines the complaint that arbitrary algorithmic decisions wrong those whom they affect. It makes three contributions. First, it provides an analysis of what arbitrariness means in this context. Second, it argues that arbitrariness is not of moral concern except when special circumstances apply. However, when the same algorithm or different algorithms based on the same data are used in multiple contexts, a person may be arbitrarily excluded from a broad range of opportunities. The third contribution is to (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   16 citations  
  16.  48
    A New General Approach to the Theory of the Many‐One Equivalence of Decision Problems for Algorithmic Systems.Egon Börger - 1979 - Mathematical Logic Quarterly 25 (7-12):135-162.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  17.  5
    Learning algorithms versus automatability of Frege systems.Ján Pich & Rahul Santhanam - forthcoming - Journal of Mathematical Logic.
    Journal of Mathematical Logic, Ahead of Print. We connect learning algorithms and algorithms automating proof search in propositional proof systems: for every sufficiently strong, well-behaved propositional proof system [math], we prove that the following statements are equivalent, (1) Provable learning. [math] proves efficiently that p-size circuits are learnable by subexponential-size circuits over the uniform distribution with membership queries. (2) Provable automatability. [math] proves efficiently that [math] is automatable by non-uniform circuits on propositional formulas expressing p-size circuit lower bounds. Here, (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  18.  89
    Recommendation Systems as Technologies of the Self: Algorithmic Control and the Formation of Music Taste.Nedim Karakayali, Burc Kostem & Idil Galip - 2018 - Theory, Culture and Society 35 (2):3-24.
    The article brings to light the use of recommender systems as technologies of the self, complementing the observations in current literature regarding their employment as technologies of ‘soft’ power. User practices on the music recommendation website last.fm reveal that many users do not only utilize the website to receive guidance about music products but also to examine and transform an aspect of their self, i.e. their ‘music taste’. The capacity of assisting users in self-cultivation practices, however, is not unique (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  19.  46
    Artificial Immune System–Negative Selection Classification Algorithm (NSCA) for Four Class Electroencephalogram (EEG) Signals.Nasir Rashid, Javaid Iqbal, Fahad Mahmood, Anam Abid, Umar S. Khan & Mohsin I. Tiwana - 2018 - Frontiers in Human Neuroscience 12:424534.
    Artificial Immune Systems (AIS) are intelligent algorithms derived on the principles inspired by human immune system. In this research work, electroencephalography (EEG) signals for four distinct motor movement of human limbs are detected and classified using Negative Selection Classification Algorithm (NSCA). For this study, a widely studied open source EEG signal database (BCI IV - Graz dataset 2a, comprising 9 subjects) has been used. Mel Frequency Cepstral Coefficients (MFCCs) are extracted as selected feature from recorded EEG signals. Dimensionality reduction (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  20.  44
    Algorithmic abstractions of ‘fashion identity’ and the role of privacy with regard to algorithmic personalisation systems in the fashion domain.Daria Onitiu - 2022 - AI and Society 37 (4):1749-1758.
    This paper delves into the nuances of ‘fashion’ in recommender systems and social media analytics, which shape and define an individual’s perception and self-relationality. Its aim is twofold: first, it supports a different perspective on privacy that focuses on the individual’s process of identity construction considering the social and personal aspects of ‘fashion’. Second, it underlines the limitations of computational models in capturing the diverse meaning of ‘fashion’, whereby the algorithmic prediction of user preferences is based on individual (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  21. Algorithms, Agency, and Respect for Persons.Alan Rubel, Clinton Castro & Adam Pham - 2020 - Social Theory and Practice 46 (3):547-572.
    Algorithmic systems and predictive analytics play an increasingly important role in various aspects of modern life. Scholarship on the moral ramifications of such systems is in its early stages, and much of it focuses on bias and harm. This paper argues that in understanding the moral salience of algorithmic systems it is essential to understand the relation between algorithms, autonomy, and agency. We draw on several recent cases in criminal sentencing and K–12 teacher evaluation to (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   8 citations  
  22.  17
    Systémes de Post, Algorithmes de Markov.Jean Porte - 1959 - Journal of Symbolic Logic 24 (3):239-240.
    Direct download  
     
    Export citation  
     
    Bookmark  
  23.  14
    Algorithms for decision problems in argument systems under preferred semantics.Samer Nofal, Katie Atkinson & Paul E. Dunne - 2014 - Artificial Intelligence 207 (C):23-51.
  24.  21
    (1 other version)Iterative Systems and Diagram Algorithms.Branislav Martić - 1981 - Mathematical Logic Quarterly 27 (36):561-564.
    Direct download  
     
    Export citation  
     
    Bookmark  
  25.  16
    Hybrid systems in electrical distribution design with genetic algorithm.Angel Nunez - 2020 - Minerva 1 (1):32-42.
    The incorporation of hybrid systems based on renewable sources for the optimization of electricity distribution systems and planning of power supply strategies using genetic algorithms is studied. A series of characteristics of electrical sub-stations was chosen and through simulations, data were obtained for the optimization of the existing infrastructure, which provides reliability, security, economic supply and quality of service. An algorithm was obtained with the optimal configuration of various components: photovoltaic panels, batteries, AC generator, fuel cell and inverter, (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  26.  15
    Metaheuristic algorithms for optimization of resilient overlay computing systems.K. Walkowiak, W. Charewicz, M. Donajski & J. Rak - 2015 - Logic Journal of the IGPL 23 (1):31-44.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  27.  17
    An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system.Veer Sain Dixit & Akanksha Bansal Chopra - 2022 - Journal of Intelligent Systems 31 (1):1133-1149.
    Recommender system depends on the thoughts of numerous users to predict the favourites of potential consumers. RS is vulnerable to malicious information. Unsuitable products can be offered to the user by injecting a few unscrupulous “shilling” profiles like push and nuke attacks into the RS. Injection of these attacks results in the wrong recommendation for a product. The aim of this research is to develop a framework that can be widely utilized to make excellent recommendations for sales growth. This study (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  28.  28
    A new hybrid algorithm based on optimal fuzzy controller in multimachine power system.Noradin Ghadimi - 2016 - Complexity 21 (1):78-93.
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   13 citations  
  29.  19
    Accent labeling algorithm based on morphological rules and machine learning in English conversion system.Pljonkin Anton Pavlovich, Pradeep Kumar Singh & Xiaofeng Liu - 2021 - Journal of Intelligent Systems 30 (1):881-892.
    The dependency of a speech recognition system on the accent of a user leads to the variation in its performance, as the people from different backgrounds have different accents. Accent labeling and conversion have been reported as a prospective solution for the challenges faced in language learning and various other voice-based advents. In the English TTS system, the accent labeling of unregistered words is another very important link besides the phonetic conversion. Since the importance of the primary stress is much (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  30. Agency Laundering and Algorithmic Decision Systems.Alan Rubel, Adam Pham & Clinton Castro - 2019 - In N. Taylor, C. Christian-Lamb, M. Martin & B. Nardi, Information in Contemporary Society (Lecture Notes in Computer Science). Springer Nature. pp. 590-598.
    This paper has two aims. The first is to explain a type of wrong that arises when agents obscure responsibility for their actions. Call it “agency laundering.” The second is to use the concept of agency laundering to understand the underlying moral issues in a number of recent cases involving algorithmic decision systems. From the Proceedings of the 14th International Conference, iConference 2019, Washington D.C., March 31-April 3, 2019.
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  31.  98
    Mental algorithms: Are minds computational systems?James H. Fetzer - 1994 - Pragmatics and Cognition 21 (1):1-29.
    The idea that human thought requires the execution of mental algorithms provides a foundation for research programs in cognitive science, which are largely based upon the computational conception of language and mentality. Consideration is given to recent work by Penrose, Searle, and Cleland, who supply various grounds for disputing computationalism. These grounds in turn qualify as reasons for preferring a non-computational, semiotic approach, which can account for them as predictable manifestations of a more adquate conception. Thinking does not ordinarily require (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   45 citations  
  32.  48
    Managing Algorithmic Accountability: Balancing Reputational Concerns, Engagement Strategies, and the Potential of Rational Discourse.Alexander Buhmann, Johannes Paßmann & Christian Fieseler - 2020 - Journal of Business Ethics 163 (2):265-280.
    While organizations today make extensive use of complex algorithms, the notion of algorithmic accountability remains an elusive ideal due to the opacity and fluidity of algorithms. In this article, we develop a framework for managing algorithmic accountability that highlights three interrelated dimensions: reputational concerns, engagement strategies, and discourse principles. The framework clarifies that accountability processes for algorithms are driven by reputational concerns about the epistemic setup, opacity, and outcomes of algorithms; that the way in which organizations practically engage (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   26 citations  
  33.  24
    Optimization of Teaching Management System Based on Association Rules Algorithm.Qing Niu - 2021 - Complexity 2021:1-13.
    The teaching management department carries all the work related to teaching in the whole school. A scientific, efficient, and complete teaching management system cannot only help the teaching management department improve work efficiency and quality but also greatly reduce many problems caused by manual labour risk. This paper designs and implements a teaching management system based on an improved association rule algorithm. First, aiming at the low efficiency of the Apriori algorithm for mining association rules, an association rule model based (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  34.  33
    Algorithmic Recommender Systems.Susan Kennedy - 2024 - American Philosophical Quarterly 61 (4):327-338.
    Despite their ethical challenges, recommender systems (RS) are widely endorsed as a necessary solution to the problem of information overload. After clarifying how the harmful effects of information overload can be characterized in distinct ways, I explore the often overlooked potential benefits of abundant online spaces. I argue that these spaces afford valuable opportunities to experience spontaneous freedom. I then put forth a more comprehensive evaluation of the role RS should assume in algorithmically structuring the online space. This evaluation (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  35.  26
    Genetic Algorithm Optimization and Control System Design of Flexible Structures.M. O. Tokhi, M. Z. Md Zain, M. S. Alam, F. M. Aldebrez, S. Z. Mohd Hashim & I. Z. Mat Darus - 2008 - Journal of Intelligent Systems 17 (Supplement):133-168.
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  36.  61
    Rules, Principles, Algorithms and the Description of Legal Systems.Stephen Utz - 1992 - Ratio Juris 5 (1):23-45.
    Abstract.Although the Hart/Dworkin debate has as much to do with Dworkin's affirmative theory of judicial discretion as with Hart's more comprehensive theory of law, the starting point was of course Dworkin's attempt to demolish the “model of rules,” Hart's alleged analysis of legal systems as collections of conclusive reasons for specified legal consequences. The continuing relevance of this attack for the prospects for any theory of law is the subject of the present essay.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  37.  21
    Weighted argument systems: Basic definitions, algorithms, and complexity results.Paul E. Dunne, Anthony Hunter, Peter McBurney, Simon Parsons & Michael Wooldridge - 2011 - Artificial Intelligence 175 (2):457-486.
  38.  19
    Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm.Aida Ghorbani, Amir Daneshvar, Ladan Riazi & Reza Radfar - 2022 - Complexity 2022:1-11.
    In recent years, social networks have made significant progress and the number of people who use them to communicate is increasing day by day. The vast amount of information available on social networks has led to the importance of using friend recommender systems to discover knowledge about future communications. It is challenging to choose the best machine learning approach to address the recommender system issue since there are several strategies with various benefits and drawbacks. In light of this, a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  39.  20
    On obdd-based algorithms and proof systems that dynamically change the order of variables.Dmitry Itsykson, Alexander Knop, Andrei Romashchenko & Dmitry Sokolov - 2020 - Journal of Symbolic Logic 85 (2):632-670.
    In 2004 Atserias, Kolaitis, and Vardi proposed $\text {OBDD}$ -based propositional proof systems that prove unsatisfiability of a CNF formula by deduction of an identically false $\text {OBDD}$ from $\text {OBDD}$ s representing clauses of the initial formula. All $\text {OBDD}$ s in such proofs have the same order of variables. We initiate the study of $\text {OBDD}$ based proof systems that additionally contain a rule that allows changing the order in $\text {OBDD}$ s. At first we consider (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  40.  20
    Research on Risk Identification System Based on Random Forest Algorithm-High-Order Moment Model.Li-Jun Liu, Wei-Kang Shen & Jia-Ming Zhu - 2021 - Complexity 2021:1-10.
    With the continuous development of the stock market, designing a reasonable risk identification tool will help to solve the irrational problem of investors. This paper first selects the stocks with the most valuable investment value in the future through the random forest algorithm in the nine-factor model and then analyzes them by using the higher-order moment model to find that different investors’ preferences will make the weight of the portfolio change accordingly, which will eventually make the optimal return and risk (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  41.  21
    Application of Flower Pollination Algorithm for Solving Complex Large-Scale Power System Restoration Problem Using PDFF Controllers.G. Ganesan Subramanian, Albert Alexander Stonier, Geno Peter & Vivekananda Ganji - 2022 - Complexity 2022:1-12.
    Automatic Generation Control in modern power systems is getting complex, due to intermittency in the output power of multiple sources along with considerable digressions in the loads and system parameters. To address this problem, this paper proposes an approach to calculate Power System Restoration Indices of a 2-area thermal-hydro restructured power system. This study also highlights the necessary ancillary service requirements for the system under a deregulated environment to cater to large-scale power failures and entire system outages. An abrupt (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  42. DES-Tutor: An Intelligent Tutoring System for Teaching DES Information Security Algorithm.Abed Elhaleem A. Elnajjar & Samy S. Abu Naser - 2017 - International Journal of Advanced Research and Development 2 (1):69-73.
    : Lately there is more attention paid to technological development in intelligent tutoring systems. This field is becoming an interesting topic to many researchers. In this paper, we are presenting an intelligent tutoring system for teaching DES Information Security Algorithm called DES-Tutor. The DES-Tutor target the students enrolled in cryptography course in the department Information Technology in Al-Azhar University in Gaza. Through DES-Tutor the student will be able to study course material and try the exercises of each lesson. An (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   26 citations  
  43.  47
    A Novel Hybrid Control Algorithm Sliding Mode-PID for the Active Suspension System with State Multivariable.Duc Ngoc Nguyen & Tuan Anh Nguyen - 2022 - Complexity 2022:1-14.
    This paper introduces a novel method to control the operation of the active suspension system. In this research, a quarter-dynamic model is used to simulate the vehicle’s vibrations. Besides, the sliding mode-PID-integrated algorithm with five state variables is proposed to be used. This is a completely original and novel algorithm. The process of establishing the control algorithm is clearly described. The simulation is performed by the MATLAB software. The results of the paper have shown the advantages of the sliding mode-PID (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  44.  37
    The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise.Jiling Ding - 2017 - Complexity:1-11.
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  45.  12
    Alors: An algorithm recommender system.Mustafa Mısır & Michèle Sebag - 2017 - Artificial Intelligence 244:291-314.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  46.  23
    Classifier systems and genetic algorithms.L. B. Booker, D. E. Goldberg & J. H. Holland - 1989 - Artificial Intelligence 40 (1-3):235-282.
  47.  34
    Clustering Algorithms in Hybrid Recommender System on MovieLens Data.Urszula Kuzelewska - 2014 - Studies in Logic, Grammar and Rhetoric 37 (1):125-139.
    Decisions are taken by humans very often during professional as well as leisure activities. It is particularly evident during surfing the Internet: selecting web sites to explore, choosing needed information in search engine results or deciding which product to buy in an on-line store. Recommender systems are electronic applications, the aim of which is to support humans in this decision making process. They are widely used in many applications: adaptive WWW servers, e-learning, music and video preferences, internet stores etc. (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  48.  47
    Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique.Jian Pan, Hao Ma, Xiao Jiang, Wenfang Ding & Feng Ding - 2018 - Complexity 2018:1-11.
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  49.  28
    Modified multiscale permutation entropy algorithm and its application for multiscroll chaotic systems.He Shaobo, Sun Kehui & Wang Huihai - 2016 - Complexity 21 (5):52-58.
  50. Picturing algorithmic surveillance: The politics of facial recognition systems.L. D. Introna & D. Wood - 2004 - Surveillance and Society 2.
    No categories
     
    Export citation  
     
    Bookmark   8 citations  
1 — 50 / 977