Results for 'Deep sea mining'

998 found
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  1. Attuning to the deep. On the opportunities of thinking with art for an ethics of the deep sea.Kristien Hens, Christina Stadlbauer & Bart Vandeput - manuscript
    Seabed mining, the extraction of minerals from the deep-sea floor, is hotly contested. Policymakers have agreed on the need for a regulatory framework. However, traditional ethical theories and principles are not well equipped for the ethics of the alien deep sea. Engaging with the sea means engaging with something abstract that we can only access indirectly. We argue that this invisibility and alienness of the sea and its inhabitants can give new insights into how ethics are done. (...)
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  2. Existence Value, Preference Satisfaction, and the Ethics of Species Extinction.Espen Dyrnes Stabell - 2019 - Environmental Ethics 41 (2):165-180.
    Existence value refers to the value humans ascribe to the existence of something, regard­less of whether it is or will be of any particular use to them. This existence value based on preference satisfaction should be taken into account in evaluating activities that come with a risk of species extinction. There are two main objections. The first is that on the preference satisfaction interpretation, the concept lacks moral importance because satisfying people’s preferences may involve no good or well-being for them. (...)
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  3. Precaution and Fairness: A Framework for Distributing Costs of Protection from Environmental Risks.Espen Dyrnes Stabell & Daniel Steel - 2018 - Journal of Agricultural and Environmental Ethics 31 (1):55-71.
    While there is an extensive literature on how the precautionary principle should be interpreted and when precautions should be taken, relatively little discussion exists about the fair distribution of costs of taking precautions. We address this issue by proposing a general framework for deciding how costs of precautions should be shared, which consists of a series of default principles that are triggered according to desert, rights, and ability to pay. The framework is developed with close attention to the pragmatics of (...)
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  4. Hard Environmental Choices: Comparability, Justification and the Argument from Moral Identity.Espen Dyrnes Stabell - 2021 - Environmental Values 30 (1):111-130.
    In decision-making based on multiple criteria, situations may arise where agents find their options to be neither better than, worse than nor equal to each other with respect to the relevant criteria. How, if at all, can a justified choice be made between such options? Are the options incomparable? This article explores a hypothetical case that illustrates how such a situation can arise in an environmental context; more specifically, it considers the deliberations of an imagined 'ethics committee' as it struggles (...)
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  5. Fine-tuning MobileNetV2 for Sea Animal Classification.Mohammed Marouf & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):44-50.
    Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...)
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  6. Nietzsche and Eros between the devil and God's deep blue sea: The problem of the artist as actor-jew-woman.Babette Babich - 2000 - Continental Philosophy Review 33 (2):159-188.
    In a single aphorism in The Gay Science, Nietzsche arrays “The Problem of the Artist” in a reticulated constellation. Addressing every member of the excluded grouping of disenfranchised “others,” Nietzsche turns to the destitution of a god of love keyed to the selfturning absorption of the human heart. His ultimate and irrecusably tragic project to restore the innocence of becoming requires the affirmation of the problem of suffering as the task of learning how to love. Nietzsche sees the eros of (...)
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  7.  94
    RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.M. Arul Selvan & S. Miruna Joe Amali - 2024 - Journal of Science Technology and Research 5 (1):37-42.
    Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall (...)
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  8. Fish Classification Using Deep Learning.M. N. Ayyad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):51-58.
    Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...)
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  9. Deep personal relationships, value, merit, and change.Brad Hooker - 2022 - Ratio 35 (4):344-351.
    A paper of Roger Crisp’s four years ago contained arguments that seemed to imply that having deep personal relationships does not constitute an element of well‐being. The lesson to draw from that paper of Crisp’s, according to a recent journal article of mine, is that one’s having a deep personal relationship does constitute an element of one’s well‐being on condition that one’s affection for the other person is merited. Crisp’s paper earlier in this issue of Ratio responds to (...)
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  10. PREDICTION OF EDUCATIONAL DATA USING DEEP CONVOLUTIONAL NEURAL NETWORK.K. Vijayalakshmi - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):93-111.
    : One of the most active study fields in natural language processing, web mining, and text mining is sentiment analysis. Big data is an important research component in education that is used to advance the value of education by watching students' performance and understanding their learning habits. Real-time student feedback will enable teachers and students to understand teaching and learning challenges in the most user-friendly manner for students. By linking learning analytics to grounded theory, the proposed Deep (...)
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  11. Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning. [REVIEW]Chenguang Lu - 2023 - Entropy 25 (5).
    A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and objective functions. Coincidentally, EMI is essentially the same as Semantic Mutual Information (SeMI) proposed by the author 30 years ago. This paper first reviews the evolutionary histories of semantic information measures and learning functions. Then, it briefly introduces the author’s semantic information G theory (...)
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  12. Fathoming Postnatural Oceans: Towards a low trophic theory in the practices of feminist posthumanities.Marietta Radomska & Cecilia Åsberg - 2021 - Environment and Planning E: Nature and Space 4:1-18.
    As the planet’s largest ecosystem, oceans stabilise climate, produce oxygen, store CO2 and host unfathomable biodiversity at a deep time-scale. In recent decades, scientific assessments have indicated that the oceans are seriously degraded to the detriment of most near-future societies. Human-induced impacts range from climate change, ocean acidification, loss of biodiversity, eutrophication and marine pollution to local degradation of marine and coastal environments. Such environmental violence takes form of both ‘spectacular’ events, like oil spills and ‘slow violence’, occurring gradually (...)
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  13. Editor's Introduction: Transcending Self-Consciousness.Gregory Nixon - 2011 - Journal of Consciousness Exploration and Research 2 (7):889-1022.
    What is this thing we each call “I” and consider the eye of consciousness, that which beholds objects in the world and objects in our minds? This inner perceiver seems to be the same I who calls forth memories or images at will, the I who feels and determines whether to act on those feelings or suppress them, as well as the I who worries and makes plans and attempts to avoid those worries and act on those plans. Am I (...)
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  14. Mad Speculation and Absolute Inhumanism: Lovecraft, Ligotti, and the Weirding of Philosophy.Ben Woodard - 2011 - Continent 1 (1):3-13.
    continent. 1.1 : 3-13. / 0/ – Introduction I want to propose, as a trajectory into the philosophically weird, an absurd theoretical claim and pursue it, or perhaps more accurately, construct it as I point to it, collecting the ground work behind me like the Perpetual Train from China Mieville's Iron Council which puts down track as it moves reclaiming it along the way. The strange trajectory is the following: Kant's critical philosophy and much of continental philosophy which has followed, (...)
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  15. Cunoașterea Științifică, Volumul 1, Numărul 2, Decembrie 2022.Sfetcu Nicolae - manuscript
    Revista Cunoașterea Științifică este o publicație trimestrială din domeniile științei și filosofiei, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIAL Viitorul științei – Știința științelor, de Nicolae Sfetcu -/- ȘTIINȚE NATURALE Anomalii ale relativității generale, de Nicolae Sfetcu -/- ȘTIINȚE SOCIALE Dezvoltarea capabilităților europene în domeniul managementului crizelor, de Alexandru Cristian The Security Management System from the Perspective of the Global Energy Crisis and the Extended Black Sea Region Escalating Conflict, de Daniela Georgiana Golea, Andreea Florina Radu, (...)
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  16. Oldest Systematic Program of German Idealism: Translation and Notes.Daniel Fidel Ferrer, Georg Wilhelm Friedrich Hegel, Friedrich Wilhelm Joseph Schelling & Friedrich Hölderlin - 2021 - 27283 Verden, Germany: Kuhn von Verden Verlag.
    This book’s goal is to give an intellectual context for the following manuscript. -/- Includes bibliographical references and an index. Pages 1-123. 1). Philosophy. 2). Metaphysics. 3). Philosophy, German. 4). Philosophy, German -- 18th century. 5). Philosophy, German and Greek Influences Metaphysics. I. Hegel, Georg Wilhelm Friedrich -- 1770-1831 -- Das älteste Systemprogramm des deutschen Idealismus. II. Rosenzweig, Franz, -- 1886-1929. III. Schelling, Friedrich Wilhelm Joseph von, -- 1775-1854. IV. Hölderlin, Friedrich, -- 1770-1843. V. Ferrer, Daniel Fidel, 1952-. [Translation from (...)
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  17. The Spectrum of Animal Rationality in Plutarch.Phillip Sidney Horky - 2017 - Apeiron 50 (1):103-133.
    Thanks to the work of Stephen Newmyer, Plutarch’s importance for modern philosophical debates concerning animal rationality and rights has been brought to the forefront. But Newmyer’s important scholarship overlooks Plutarch’s commitment to a range of rational functions that can be ascribed to animals of various sorts throughout the Moralia. Through an application of the ‘spectrum of animal rationality’ described in the treatise On Moral Virtue to the dialogues where his interlocutors explore the rational capacities of non-human animals (especially Whether Land (...)
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  18. Modernizing Frontier Chemical Transformations of Young People’s Minds and Bodies in Puerto Princesa.Anita P. Hardon & Michael L. Tan - 2017 - Amsterdam, Netherlands: The Amsterdam Institute for Social Science Research University of Amsterdam Department of Anthropology University of the Philippines Diliman and Palawan Studies Center Palawan State University.
    Palawan is a land of promise, and of paradox. On maps, it appears on the edge of the Philippines, isolated. Indeed, it is a kind of last frontier. Its population remained tiny for centuries, the government offering homestead land in the 1950s practically for free to attract migrants from outside. The Palawan State University was established by law in 1965, but did not become operational until 1972. A commercial airport did not exist until the 1980s, and for many years, flights (...)
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  19. The “same bed, different dreams” of Vietnam and China: how (mis)trust could make or break it.Hong-Kong T. Nguyen, Quan-Hoang Vuong, Manh-Tung Ho & Thu- Trang Vuong - manuscript
    The relationship between Vietnam and China could be captured in the Chinese expression of “同床异梦”, which means lying on the same bed but having different dreams. The two countries share certain cultural and political similarities but also diverge vastly in their national interests. This paper adds to the extant literature on this topic by analyzing the element of trust/mistrust in their interactions in trade-investment, tourism, and defense-security. The analysis shows how the relationship is increasingly interdependent but is equally fragile due (...)
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  20.  99
    Cunoașterea Științifică, Volumul 1, 2022.Nicolae Sfetcu - 2022 - Cunoașterea Științifică 1.
    Revista Cunoașterea Științifică este o publicație trimestrială din domeniile științei și filosofiei, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIALE Cunoașterea, de Nicolae Sfetcu Cuvânt introductiv pentru (și despre) „Cunoașterea Științifică”, de Adrian Klein Viitorul științei – Știința științelor, de Nicolae Sfetcu -/- ȘTIINȚE NATURALE Teste gravitaționale, de Nicolae Sfetcu Inside, and Beyond „Nothingness”, de Adrian Klein și Robert Neil Boyd Anomalii ale relativității generale, de Nicolae Sfetcu -/- ȘTIINȚE SOCIALE Fondarea Uniunii Europene și evoluția tratatelor comunității (...)
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  21. ¿Puedo reconocer a un par distante? Una consecuencia del desacuerdo profundo entre pares epistémicos.Ignacio Madroñal - 2023 - Filosofia Unisinos 24 (2):1-14.
    Dos clases de desacuerdo han resultado de gran interés para la epistemología social durante las últimas décadas: los desacuerdos profundos, que tienen lugar cuando la disputa entre las partes es sistemática y particularmente difícil de resolver, y los desacuerdos entre pares epistémicos, ocasionados por el enfrentamiento entre agentes que tienen la misma evidencia y virtudes cognitivas respecto del tema en discusión. El propósito de este artículo es trabajar en la intersección de ellos, evaluando las consecuencias de que un desacuerdo entre (...)
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  22. Debate entre realismo y antirrealismo científicos: ¿en qué acordar para desacordar?Leandro Lema & Ignacio Madroñal - 2023 - Revista Instante 5 (2):476-493.
    El debate entre realistas y antirrealistas científicos puede ser concebido como un caso de desacuerdo profundo entre partidarios de perspectivas epistémicas rivales. Versa sobre los compromisos metafísicos, epistémicos y semánticos a los que deberíamos suscribir sobre la base de nuestras mejores teorías científicas, especialmente respecto de las entidades inobservables postuladas por ellas. Defendemos que, pese a sus discrepancias, tanto realistas como antirrealistas comparten un núcleo mínimo de supuestos compartidos que dotan de sentido a su discusión, y cuyo rechazo implica la (...)
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  23. Cognitive dimensions of talim: evaluating weaving notation through cognitive dimensions (CDs) framework.Kaur Gagan Deep - 2016 - Cognitive Processing:0-0.
    The design process in Kashmiri carpet weaving is distributed over a number of actors and artifacts and is mediated by a weaving notation called talim. The script encodes entire design in practice-specific symbols. This encoded script is decoded and interpreted via design-specific conventions by weavers to weave the design embedded in it. The cognitive properties of this notational system are described in the paper employing cognitive dimensions (CDs) framework of Green (People and computers, Cambridge University Press, Cambridge, 1989) and Blackwell (...)
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  24. Modelling prejudice and its effect on societal prosperity.Deep Inder Mohan, Arjun Verma & Shrisha Rao - 2023 - Journal of Simulation 17 (6):647--657.
    Existing studies of the multi-group dynamics of prejudiced societies focus on the social- psychological knowledge behind the relevant processes. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on prosperity. Levels of prosperity are tracked for individuals as well as larger social structures including groups and factions. We model social interactions using the Continuous Prisoner's Dilemma (CPD) and a new agent type called a prejudiced agent. Our simulations show that even modeling prejudice (...)
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  25. Different researchers’ opinion based survey: On the insights and the beliefs’ regarding the existence of God in various religions to the atheistic belief with ‘no presence of God at all’.Deep Bhattacharjee - manuscript
    If this can be seen as a long way from the beginning of the ancient history, where humans have envisioned different new things and then invented them to make their life’s working smoother and easier, then it can be found that they have attributed their discoveries to various aspects and names of Gods and tried to signify their belief in the form of portraying the God’s powers through the nature of their discovery. Rather, in much modern times, when humans have (...)
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  26. Cognitive bearing of techno-advances in Kashmiri carpet designing.Gagan Deep Kaur - 2016 - AI and Society:0-0.
    The design process in Kashmiri carpet weaving is a distributed process encompassing a number of actors and artifacts. These include a designer called naqash who creates the design on graphs, and a coder called talim-guru who encodes that design in a specific notation called talim which is deciphered and interpreted by the weavers to weave the design. The technological interventions over the years have influenced these artifacts considerably and triggered major changes in the practice, from heralding profound cognitive accomplishments in (...)
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  27. Situated and distributed cognition in artifact negotiation and trade-specific skills: A cognitive ethnography of Kashmiri carpet weaving practice.Gagan Deep Kaur - 2018 - Theory and Psychology 28 (4):451-475.
    This article describes various ways actors in Kashmiri carpet weaving practice deploy a range of artifacts, from symbolic, to material, to hybrid, in order to achieve diverse cognitive accomplishments in their particular task domains: information representation, inter and intra-domain communication, distribution of cognitive labor across people and time, coordination of team activities, and carrying of cultural heritage. In this repertoire, some artifacts position themselves as naïve tools in the actors’ environment to the point of being ignored; however, their usage-in-context unfolds (...)
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  28. Systemic Immune Inflammation-Index and CANLPH Score in Patients with Mitral Stenosis Undergoing Balloon Valvuloplasty.Özge Ozcan Abacioglu, Arafat Yıldırım, Mine Karadeniz, Armagan Acele, Ferhat Dindas, Nemin Yıldız Koyunsever, Mustafa Dogdus & Halil İbrahim Kurt - 2023 - European Journal of Therapeutics 29 (1):10-16.
    Objective: to evaluate CANLPH score and systemic immune inflammation index (SII) in patients with symptomatic rheumatic mitral stenosis (MS) undergoing percutaneous mitral balloon valvuloplasty (PMBV). -/- Methods: 62 patients who underwent PMBV in our clinic between 2018 and 2021 were included retrospectively. The patients were divided into 2 groups according to echo score. The CANLPH score was calculated from the cut-off values of C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR) and platelet to hemoglobin ratio (PHR), determined (...)
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  29. Mineness without Minimal Selves.M. V. P. Slors & F. Jongepier - 2014 - Journal of Consciousness Studies 21 (7-8):193-219.
    In this paper we focus on what is referred to as the ‘mineness’ of experience, that is, the intimate familiarity we have with our own thoughts, perceptions, and emotions. Most accounts characterize mineness in terms of an experiential dimension, the first-person givenness of experience, that is subsumed under the notion of minimal self-consciousness or a ‘minimal self’. We argue that this account faces problems and develop an alternative account of mineness in terms of the coherence of experiences with what we (...)
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  30. Modeling Deep Disagreement in Default Logic.Frederik J. Andersen - 2024 - Australasian Journal of Logic 21 (2):47-63.
    Default logic has been a very active research topic in artificial intelligence since the early 1980s, but has not received as much attention in the philosophical literature thus far. This paper shows one way in which the technical tools of artificial intelligence can be applied in contemporary epistemology by modeling a paradigmatic case of deep disagreement using default logic. In §1 model-building viewed as a kind of philosophical progress is briefly motivated, while §2 introduces the case of deep (...)
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  31. Data Mining in the Context of Legality, Privacy, and Ethics.Amos Okomayin, Tosin Ige & Abosede Kolade - 2023 - International Journal of Research and Innovation in Applied Science 10 (Vll):10-15.
    Data mining possess a significant threat to ethics, privacy, and legality, especially when we consider the fact that data mining makes it difficult for an individual or consumer (in the case of a company) to control accessibility and usage of his data. Individuals should be able to control how his/ her data in the data warehouse is being access and utilize while at the same time providing enabling environment which enforces legality, privacy and ethicality on data scientists, or (...)
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  32. Deep Disagreement in Mathematics.Andrew Aberdein - 2023 - Global Philosophy 33 (1):1-27.
    Disagreements that resist rational resolution, often termed “deep disagreements”, have been the focus of much work in epistemology and informal logic. In this paper, I argue that they also deserve the attention of philosophers of mathematics. I link the question of whether there can be deep disagreements in mathematics to a more familiar debate over whether there can be revolutions in mathematics. I propose an affirmative answer to both questions, using the controversy over Shinichi Mochizuki’s work on the (...)
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  33. Deep Brain Stimulation, Authenticity and Value.Pugh Jonathan, Maslen Hannah & Savulescu Julian - 2017 - Cambridge Quarterly of Healthcare Ethics 26 (4):640-657.
    Deep brain stimulation has been of considerable interest to bioethicists, in large part because of the effects that the intervention can occasionally have on central features of the recipient’s personality. These effects raise questions regarding the philosophical concept of authenticity. In this article, we expand on our earlier work on the concept of authenticity in the context of deep brain stimulation by developing a diachronic, value-based account of authenticity. Our account draws on both existentialist and essentialist approaches to (...)
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  34. Deep learning and synthetic media.Raphaël Millière - 2022 - Synthese 200 (3):1-27.
    Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of (...)
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  35.  73
    Using Deep Learning to Classify Corn Diseases.Mohanad H. Al-Qadi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems (Ijaisr) 8 (4):81-88.
    Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...)
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  36. Modelling Deep Indeterminacy.George Darby & Martin Pickup - 2021 - Synthese 198:1685–1710.
    This paper constructs a model of metaphysical indeterminacy that can accommodate a kind of ‘deep’ worldly indeterminacy that arguably arises in quantum mechanics via the Kochen-Specker theorem, and that is incompatible with prominent theories of metaphysical indeterminacy such as that in Barnes and Williams (2011). We construct a variant of Barnes and Williams's theory that avoids this problem. Our version builds on situation semantics and uses incomplete, local situations rather than possible worlds to build a model. We evaluate the (...)
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  37. Deep Brain Stimulation, Authenticity and Value.Sven Nyholm & Elizabeth O’Neill - 2017 - Cambridge Quarterly of Healthcare Ethics 26 (4):658-670.
    In this paper, we engage in dialogue with Jonathan Pugh, Hannah Maslen, and Julian Savulescu about how to best interpret the potential impacts of deep brain stimulation on the self. We consider whether ordinary people’s convictions about the true self should be interpreted in essentialist or existentialist ways. Like Pugh et al., we argue that it is useful to understand the notion of the true self as having both essentialist and existentialist components. We also consider two ideas from existentialist (...)
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  38. Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling.John Lawrence, Chris Reed, Simon McAlister, Andrew Ravenscroft, Colin Allen & David Bourget - 2014 - In Nancy Green, Kevin Ashley, Diane Litman, Chris Reed & Vern Walker (eds.), Proceedings of the First Workshop on Argumentation Mining. Baltimore, USA: pp. 79-87.
    In this paper we look at the manual analysis of arguments and how this compares to the current state of automatic argument analysis. These considerations are used to develop a new approach combining a machine learning algorithm to extract propositions from text, with a topic model to determine argument structure. The results of this method are compared to a manual analysis.
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  39. Secure and Scalable Data Mining Technique over a Restful Web Services.Solar Francesco & Oliver Smith - forthcoming - International Journal of Research and Innovation in Applied Science.
    Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning algorithm, (...)
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  40.  62
    Using Deep Learning to Classify Eight Tea Leaf Diseases.Mai R. Ibaid & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):89-96.
    Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on (...)
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  41. Sea.Mota Victor - manuscript
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  42. Whence deep realism for Everettian quantum mechanics?Raoni Wohnrath Arroyo & Jonas R. Becker Arenhart - 2022 - Foundations of Physics 52 (6):121.
    ‘Shallow’ and ‘deep’ versions of scientific realism may be distinguished as follows: the shallow realist is satisfied with belief in the existence of the posits of our best scientific theories; by contrast, deep realists claim that realism can be legitimate only if such entities are described in metaphysical terms. We argue that this methodological discussion can be fruitfully applied in Everettian quantum mechanics, specifically on the debate concerning the existence of worlds and the recent dispute between Everettian actualism (...)
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  43. Effects of Deep Brain Stimulation on the lived experience of Obsessive-Compulsive Disorder patients.Sanneke de Haan, Erik Rietveld, Martin Stokhof & Damiaan Denys - 2015 - PLoS ONE 10 (8):1-29.
    Deep Brain Stimulation (DBS) is a relatively new, experimental treatment for patients suffering from treatment-refractory Obsessive Compulsive Disorder (OCD). The effects of treatment are typically assessed with psychopathological scales that measure the amount of symptoms. However, clinical experience indicates that the effects of DBS are not limited to symptoms only: patients for instance report changes in perception, feeling stronger and more confident, and doing things unreflectively. Our aim is to get a better overview of the whole variety of changes (...)
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  44. Neutrosophic Association Rule Mining Algorithm for Big Data Analysis.Mohamed Abdel-Basset, Mai Mohamed, Florentin Smarandache & Victor Chang - 2018 - Symmetry 10 (4):1-19.
    Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. The classical association rules can only be extracted from binary (...)
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  45. Deep Learning as Method-Learning: Pragmatic Understanding, Epistemic Strategies and Design-Rules.Phillip H. Kieval & Oscar Westerblad - manuscript
    We claim that scientists working with deep learning (DL) models exhibit a form of pragmatic understanding that is not reducible to or dependent on explanation. This pragmatic understanding comprises a set of learned methodological principles that underlie DL model design-choices and secure their reliability. We illustrate this action-oriented pragmatic understanding with a case study of AlphaFold2, highlighting the interplay between background knowledge of a problem and methodological choices involving techniques for constraining how a model learns from data. Building successful (...)
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  46. Does Deep Moral Disagreement Exist in Real Life?Serhiy Kiš - 2023 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 30 (3):255-277.
    The existence of deep moral disagreement is used in support of views ranging from moral relativism to the impossibility of moral expertise. This is done despite the fact that it is not at all clear whether deep moral disagreements actually occur, as the usually given examples are never of real life situations, but of some generalized debates on controversial issues. The paper will try to remedy this, as any strength of arguments appealing to deep moral disagreement is (...)
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  47. Likely impact of Antarctic sea ice loss on shifting sociocultural values.Nguyen Thi Hong Hoa - 2024 - Sm3D Portal (1/6/2024).
    In 2023, Antarctic sea ice declined to historically low levels, prompting researchers to use CMIP6 climate models to assess the event’s rarity and connection to climate change.
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  48. Comparative Analysis of Deep Learning and Naïve Bayes for Language Processing Task.Olalere Abiodun - forthcoming - International Journal of Research and Innovation in Applied Sciences.
    Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance (...)
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  49. Innovation, Deep Decarbonization and Ethics.Ewan Kingston - 2022 - Ethics, Policy and Environment 25 (3):375-384.
    Deep decarbonization – slashing global greenhouse gas emissions to net-zero – now dominates global climate policy. Two recent books assess feasible routes to achieve deep decarbonization. Bill Gates’ How to Avoid a Climate Disaster explains in depth why deep decarbonization requires significant innovations in tech, and Danny Cullenward and David Victor’s Making Climate Policy Work emphasizes the importance of policy innovation (beyond carbon pricing) for driving clean tech breakthroughs. In this critical review essay, I summarize and assess (...)
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  50.  96
    Using Deep Learning to Detect the Quality of Lemons.Mohammed B. Karaja & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):97-104.
    Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons (...)
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