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Artykuły w czasopismach na temat „Golden mean Turing machine”

Autor: Grafiati
Data publikacji: 4 czerwca 2025
Data aktualizacji: 1 sierpnia 2025

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1

Scott, Olsen, Marek-Crnjac L., He Ji-Huan, and S. El Naschie M. "A Grand Unification of the Sciences, Arts & Consciousness: Rediscovering the Pythagorean Plato's Golden Mean Number System." Journal of Progressive Research in Mathematics 16, no. 2 (2020): 2888–931. https://doi.org/10.5281/zenodo.3973983.

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In this condensed paper, by combining the insights from E-Infinity theory, along with Plato‘s initiatory insights into the golden section imbedded in his Principles of the One and Indefinite Dyad, David Bohm‘s ontological framework of the superimplicate, implicate and explicate orders, andthe pervasive presence throughout physics, chemistry, biology and cosmology of the golden ratio (often veiled in Fibonacci and Lucas numbers), a profound golden mean number system emerges underlying the cosmos, nature and consciousness. This ubiquitous presence is evident in quantum mechanics, inc
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Poggio, Tomaso, and Ethan Meyers. "Turing++ Questions: A Test for the Science of (Human) Intelligence." AI Magazine 37, no. 1 (2016): 73–77. http://dx.doi.org/10.1609/aimag.v37i1.2641.

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It is becoming increasingly clear that there is an infinite number of definitions of intelligence. Machines that are intelligent in different narrow ways have been built since the 50s. We are entering now a golden age for the engineering of intelligence and the development of many different kinds of intelligent machines. At the same time there is a widespread interest among scientists in understanding a specific and well defined form of intelligence, that is human intelligence. For this reason we propose a stronger version of the original Turing test. In particular, we describe here an open-en
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Trzęsicki, Kazimierz. "Can Ai Be Intelligent?" Studies in Logic, Grammar and Rhetoric 48, no. 1 (2016): 103–31. http://dx.doi.org/10.1515/slgr-2016-0058.

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AbstractThe aim of this paper is an attempt to give an answer to the question what does it mean that a computational system is intelligent. We base on some theses that though debatable are commonly accepted. Intelligence is conceived as the ability of tractable solving of some problems that in general are not solvable by deterministic Turing Machine.
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Akbar Priyo Santosa, Muhammad Reesa, Lubna Mawaddah, and Muhamad Akrom. "Harnessing Quantum SVR on Quantum Turing Machine for Drug Compounds Corrosion Inhibitors Analysis." Advance Sustainable Science Engineering and Technology 6, no. 3 (2024): 02403013. http://dx.doi.org/10.26877/asset.v6i3.601.

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Corrosion is an issue that has a significant impact on the oil and gas industry, resulting in significant losses. This is worth investigating because corrosion contributes to a large part of the total annual costs of oil and gas production companies worldwide, and can cause serious problems for the environment that will impact society. The use of inhibitors is one way to prevent corrosion that is quite effective. This study is an experimental study that aims to implement machine learning (ML) on the efficiency of corrosion inhibitors. In this study, the use of the Quantum Support Vector Regres
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Kish, Laszlo B., Claes G. Granqvist, Tamas Horvath, Andreas Klappenecker, He Wen, and Sergey M. Bezrukov. "Bird's-eye view on noise-based logic." International Journal of Modern Physics: Conference Series 33 (January 2014): 1460363. http://dx.doi.org/10.1142/s2010194514603639.

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Noise-based logic is a practically deterministic logic scheme inspired by the randomness of neural spikes and uses a system of uncorrelated stochastic processes and their superposition to represent the logic state. We briefly discuss various questions such as (i) What does practical determinism mean? (ii) Is noise-based logic a Turing machine? (iii) Is there hope to beat (the dreams of) quantum computation by a classical physical noise-based processor, and what are the minimum hardware requirements for that? Finally, (iv) we address the problem of random number generators and show that the com
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Chu, Van Trung, Thuy Linh Nguyen, Ngoc Anh Nguyen, Huu Chien Hoang, Quang Thi Nguyen, and Van Tuan Pham. "EVALUATION OF LAND SUITABILITY FOR MAIN CROPS IN BAC SON DISTRICT, LANG SON PROVINCE USING MACHINE LEARNING AND ARTIFICIAL NEURAL NETWORK MODELS." International Journal of Geography, Social, and Multicultural Education 3, no. 1 (2025): 26–40. https://doi.org/10.26740/ijgsme.v3n1.p26-40.

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This study evaluates land suitability for Golden Tangerine and Paddy Rice cultivation in Bac Son District, Lang Son Province, using Random Forest (RF) and Artificial Neural Network (ANN) models. Environmental factors, such as elevation, slope, aspect, NDVI, distance to streams and roads, rainfall, soil type, soil depth, and soil texture, were used as input variables. The results show that both models effectively assessed land suitability, though their predictive performances differed by crop type. For Golden Tangerine, the ANN model predicted a higher mean suitability value (0.38313) and sligh
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Falcon, Alex, Giovanni D'Agostino, Giuseppe Serra, Giorgio Brajnik, and Carlo Tasso. "A Dual-Stream architecture based on Neural Turing Machine and Attention for the Remaining Useful Life Estimation problem." PHM Society European Conference 5, no. 1 (2020): 10. http://dx.doi.org/10.36001/phme.2020.v5i1.1227.

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Estimating in a reliable way the Remaining Useful Life (RUL) of a mechanical component is a fundamental task in the field of Prognostics and Health Management (PHM). In recent years a greater availability of high quality sensors and easiness of data gathering gave rise to data-driven models based on deep learning for this task, which has recently seen the introduction of "dual-stream" architectures. In this paper we propose a dual-stream architecture to address the RUL estimation problem through the exploitation of a Neural Turing Machine (NTM) and a Multi-Head Attention (MHA) mechanism. The N
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Simon, Jeyasheela Rakkini, and K. Geetha. "Block Mining reward prediction with Polynomial Regression, Long short-term memory, and Prophet API for Ethereum blockchain miners." ITM Web of Conferences 37 (2021): 01004. http://dx.doi.org/10.1051/itmconf/20213701004.

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The Ethereum blockchain is an open-source, decentralized blockchain with functions triggered by smart contract and has voluminous real-time data for analysis using machine learning and deep learning algorithms. Ether is the cryptocurrency of the Ethereum blockchain. Ethereum virtual machine is used to run Turing complete scripts. The data set concerning a block in the Ethereum blockchain with a block number, timestamp, crypto address of the miner, and the block rewards for the miner are explored for K means clustering for clustering miners with a unique crypto address and their rewards. Linear
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9

Gao, Chenyang, Yahua He , and Yuelin Gao. "A Multi-Strategy Enhanced Hybrid Ant–Whale Algorithm and Its Applications in Machine Learning." Mathematics 12, no. 18 (2024): 2848. http://dx.doi.org/10.3390/math12182848.

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Based on the principles of biomimicry, evolutionary algorithms (EAs) have been widely applied across diverse domains to tackle practical challenges. However, the inherent limitations of these algorithms call for further refinement to strike a delicate balance between global exploration and local exploitation. Thus, this paper introduces a novel multi-strategy enhanced hybrid algorithm called MHWACO, which integrates a Whale Optimization Algorithm (WOA) and Ant Colony Optimization (ACO). Initially, MHWACO employs Gaussian perturbation optimization for individual initialization. Subsequently, in
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Church, Kenneth Ward, and Joel Hestness. "A survey of 25 years of evaluation." Natural Language Engineering 25, no. 06 (2019): 753–67. http://dx.doi.org/10.1017/s1351324919000275.

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AbstractEvaluation was not a thing when the first author was a graduate student in the late 1970s. There was an Artificial Intelligence (AI) boom then, but that boom was quickly followed by a bust and a long AI Winter. Charles Wayne restarted funding in the mid-1980s by emphasizing evaluation. No other sort of program could have been funded at the time, at least in America. His program was so successful that these days, shared tasks and leaderboards have become common place in speech and language (and Vision and Machine Learning). It is hard to remember that evaluation was a tough sell 25 year
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11

Nolan, Steve, and Stelios Zyglidopoulos. "Ecosystem Theory and the Adoption of Artificial Intelligence in SMEs." International Conference on AI Research 4, no. 1 (2024): 322–28. https://doi.org/10.34190/icair.4.1.3137.

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Given the various risks involved in incorporating artificial intelligence (AI) and machine learning into their business operations, firms are at an inflection point about how to do so. In this paper, we propose that for small medium-sized enterprises (SMEs), which lack capital, large quantities of data, and expertise, the best solution would be to join a pre-existing (or developing) ecosystem. From the two potential alternatives available to an SME, going it alone or depending on a larger corporation, we argue for a third option, the joining of an ecosystem of organizations that use AI systems
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12

Dankwa, Stephen, and Lu Yang. "Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification." Electronics 10, no. 15 (2021): 1798. http://dx.doi.org/10.3390/electronics10151798.

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The Internet of Things environment (e.g., smart phones, smart televisions, and smart watches) ensures that the end user experience is easy, by connecting lives on web services via the internet. Integrating Internet of Things devices poses ethical risks related to data security, privacy, reliability and management, data mining, and knowledge exchange. An adversarial machine learning attack is a good practice to adopt, to strengthen the security of text-based CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), to withstand against malicious attacks from computer
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13

Ma, Ye, Dongwei Liu, and Laisi Cai. "Deep Learning-Based Upper Limb Functional Assessment Using a Single Kinect v2 Sensor." Sensors 20, no. 7 (2020): 1903. http://dx.doi.org/10.3390/s20071903.

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We develop a deep learning refined kinematic model for accurately assessing upper limb joint angles using a single Kinect v2 sensor. We train a long short-term memory recurrent neural network using a supervised machine learning architecture to compensate for the systematic error of the Kinect kinematic model, taking a marker-based three-dimensional motion capture system (3DMC) as the golden standard. A series of upper limb functional task experiments were conducted, namely hand to the contralateral shoulder, hand to mouth or drinking, combing hair, and hand to back pocket. Our deep learning-ba
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14

Zhang, Jie. "Economic benefit analysis of lithium battery recycling based on machine learning algorithm." PLOS ONE 19, no. 6 (2024): e0303933. http://dx.doi.org/10.1371/journal.pone.0303933.

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Lithium batteries, as an important energy storage device, are widely used in the fields of renewable vehicles and renewable energy. The related lithium battery recycling industry has also ushered in a golden period of development. However, the high cost of lithium battery recycling makes it difficult to accurately evaluate its recycling value, which seriously restricts the development of the industry. To address the above issues, machine learning will be applied in the field of economic benefit analysis for lithium battery recycling, and backpropagation neural networks will be combined with st
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15

J. Iyer, Tharun, Rahul K., Ruban Nersisson, Zhemin Zhuang, Alex Noel Joseph Raj, and Imthiaz Refayee. "Machine Learning-Based Facial Beauty Prediction and Analysis of Frontal Facial Images Using Facial Landmarks and Traditional Image Descriptors." Computational Intelligence and Neuroscience 2021 (August 25, 2021): 1–14. http://dx.doi.org/10.1155/2021/4423407.

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The beauty industry has seen rapid growth in multiple countries and due to its applications in entertainment, the analysis and assessment of facial attractiveness have received attention from scientists, physicians, and artists because of digital media, plastic surgery, and cosmetics. An analysis of techniques is used in the assessment of facial beauty that considers facial ratios and facial qualities as elements to predict facial beauty. Here, the facial landmarks are extracted to calculate facial ratios according to Golden Ratios and Symmetry Ratios, and an ablation study is performed to fin
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16

Zhao, Zheng-Yang, Wen-Zhun Huang, Xin-Ke Zhan, et al. "An Ensemble Learning-Based Method for Inferring Drug-Target Interactions Combining Protein Sequences and Drug Fingerprints." BioMed Research International 2021 (April 24, 2021): 1–12. http://dx.doi.org/10.1155/2021/9933873.

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Identifying the interactions of the drug-target is central to the cognate areas including drug discovery and drug reposition. Although the high-throughput biotechnologies have made tremendous progress, the indispensable clinical trials remain to be expensive, laborious, and intricate. Therefore, a convenient and reliable computer-aided method has become the focus on inferring drug-target interactions (DTIs). In this research, we propose a novel computational model integrating a pyramid histogram of oriented gradients (PHOG), Position-Specific Scoring Matrix (PSSM), and rotation forest (RF) cla
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17

Ayanoglu, Mehmet B., and Ismail Uysal. "PWFS: Probability-Weighted Feature Selection." Electronics 14, no. 11 (2025): 2264. https://doi.org/10.3390/electronics14112264.

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Feature selection has been a fundamental research area for both conventional and contemporary machine learning since the beginning of predictive analytics. From early statistical methods, such as principal component analysis, to more recent and data-driven approaches, such as deep unsupervised feature learning, selecting input features to achieve the best objective performance has been a critical component of any machine learning application. In this study, we propose a novel, easily replicable, and robust approach called probability-weighted feature selection (PWFS), which randomly selects a
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Tiwari*, Vipul Kumar, Abhishek Choudhary, Umesh Kr Singh, Anil Kumar Kothari, and Manish Kr Singh. "Real-Time Lime Quality Control through Process Automation." International Journal of Emerging Science and Engineering 7, no. 2 (2021): 1–10. http://dx.doi.org/10.35940/ijese.b2502.057221.

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In the steel industry - Tata steel, India, most of the lime produced in the lime plant is used in the steel-making process at LD shops. The quality of steel produced at LD shops depends on the quality of lime used. Moreover, the lime also helps in the crucial dephosphorization process during steel-making. The calcined lime produced in the lime plant goes to the laboratory for testing its final quality (CaO%), which is very difficult to control. To predict, control and enhance the quality of lime during lime making process, five machine-learning-based models such as multivariate linear regressi
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Vipul, Kumar Tiwari, Choudhary Abhishek, Kr. Singh Umesh, Kumar Kothari Anil, and Kr. Singh Manish. "Real-Time Lime Quality Control through Process Automation." International Journal of Emerging Science and Engineering (IJESE) 7, no. 2 (2021): 1–10. https://doi.org/10.35940/ijese.B2502.057221.

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In the steel industry - Tata steel, India, most of the lime produced in the lime plant is used in the steel-making process at LD shops. The quality of steel produced at LD shops depends on the quality of lime used. Moreover, the lime also helps in the crucial dephosphorization process during steel-making. The calcined lime produced in the lime plant goes to the laboratory for testing its final quality (CaO%), which is very difficult to control. To predict, control and enhance the quality of lime during lime making process, five machine-learning-based models such as multivariate linear regressi
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20

Li, Chuanqi, and Daniel Dias. "Assessment of the Rock Elasticity Modulus Using Four Hybrid RF Models: A Combination of Data-Driven and Soft Techniques." Applied Sciences 13, no. 4 (2023): 2373. http://dx.doi.org/10.3390/app13042373.

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The determination of the rock elasticity modulus (EM) is an indispensable key step for the design of rock engineering problems. Traditional experimental analysis can accurately measure the rock EM, but it requires manpower and material resources, and it is time consuming. The EM estimation of new rocks using former published empirical formulas is also a possibility but can be attached of high uncertainties. In this paper, four types of metaheuristic optimization algorithms (MOA), named the backtracking search optimization algorithm (BSA), multi-verse optimizer (MVO), golden eagle optimizer (GE
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Moon, Jose, Dongjun Lee, Hyunwoo Jung, Ahnryul Choi, and Joung Hwan Mun. "Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males." Sensors 22, no. 9 (2022): 3499. http://dx.doi.org/10.3390/s22093499.

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Whole-body center of gravity (CG) movements in relation to the center of pressure (COP) offer insights into the balance control strategies of the human body. Existing CG measurement methods using expensive measurement equipment fixed in a laboratory environment are not intended for continuous monitoring. The development of wireless sensing technology makes it possible to expand the measurement in daily life. The insole system is a wearable device that can evaluate human balance ability by measuring pressure distribution on the ground. In this study, a novel protocol (data preparation and model
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AL-Siaidy, Wijdan F., Ahmed A. AL-Sabbagh, Isam N. AL-Karawi, and Dalya A. Mohammed. "Evaluation of Ankle-Brachial Pressure Index and Carotid Intima Media Thickness by Doppler Ultrasound in type two Diabetics." Journal of the Faculty of Medicine Baghdad 55, no. 1 (2013): 77–82. http://dx.doi.org/10.32007/jfacmedbagdad.551675.

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Background: Atherosclerosis causes thickening of the artery walls. The intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of the development of coronary artery disease, atherosclerosis, and independently cardiovascular disease (CVD). Diabetes increased the risk of cardiovascular disease, also accelerates the common IMT progression. The Sonographic measurement of carotid intima-media thickness is used as a valid simple and noninvasive method for the assessment of atherosclerosis disease.
 Also the ankle brachial index (ABI) is considered as
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23

Benitez-Aurioles, J., D. Jenkins, C. Ramirez Medina, N. Peek, and M. Jani. "OP0269 DEVELOPMENT AND EVALUATION OF MACHINE LEARNING ALGORITHMS FOR THE PREDICTION OF OPIOID-RELATED DEATHS AMONG UK PATIENTS WITH NON-CANCER PAIN." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 177–78. http://dx.doi.org/10.1136/annrheumdis-2023-eular.3510.

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BackgroundThere has been a sharp rise in opioid use for non-cancer pain globally, including for rheumatic and musculoskeletal conditions. Despite increased awareness of adverse effects, they remain commonly prescribed in most countries. Clinical prediction models (CPMs) offer the possibility of assessing individual risk allowing better allocation of resources towards those at risk. Machine learning (ML) approaches can address nonlinear relationships and complex interactions between variables and are increasingly used to develop CPMs.ObjectivesTo develop, validate, and compare the performance o
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Dicen, Gerald, Floriane Guillevic, Surya Gupta, et al. "Distribution and sources of fallout 137Cs and 239+240Pu in equatorial and Southern Hemisphere reference soils." Earth System Science Data 17, no. 4 (2025): 1529–49. https://doi.org/10.5194/essd-17-1529-2025.

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Abstract. Past nuclear weapons testing (NWT) and nuclear power plant (NPP) accidents have resulted in the ubiquitous deposition of radionuclides in the environment. These fallout radionuclides (FRNs) are considered the privileged markers (“golden spikes”) of the Anthropocene stratigraphic layers. Their deposition in the 1950s coincided with the “Great Acceleration”, which is characterized by large-scale shifts in the Earth's systems, including increased land-use change and soil degradation. Among the FRNs deposited globally, 137Cs has been the most commonly used to assess soil erosion and/or t
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O’Connor, Marie Theresa. "In the Craftsman’s Garden: AI, Alan Turing, and Stanley Cavell." Minds and Machines 34, no. 3 (2024). http://dx.doi.org/10.1007/s11023-024-09676-y.

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AbstractThere is rising skepticism within public discourse about the nature of AI. By skepticism, I mean doubt about what we know about AI. At the same time, some AI speakers are raising the kinds of issues that usually really matter in analysis, such as issues relating to consent and coercion. This essay takes up the question of whether we should analyze a conversation differently because it is between a human and AI instead of between two humans and, if so, why. When is it okay, for instance, to read the phrases “please stop” or “please respect my boundaries” as meaning something other than
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Mamombe, Lovemore. "Universal Computing Machine for Number Genetics in the Proportiones Perfectus Theory." Journal of Advances in Mathematics and Computer Science, March 28, 2019, 1–10. http://dx.doi.org/10.9734/jamcs/2019/v31i330115.

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The proportiones perfectus law states that σ_x^y=(x+√(x^2+4y))/2 is a proportione perfectus if 1≤y≤x such that for an arbitrary positive integer , there exists an integer sequence defined simultaneously by the quasigeometric relation h_(n+1)=round(σ_x^y h_n ),n≥1 and the arithmetic relation h_(n+2)=〖xh〗_(n+1)+〖yh〗_n,n≥1. When x=y=1 σ_x^y is the golden mean. When x=2,y=1,σ_x^y is the silver mean. In previous works we introduced the theory of number genetics – a framework of logic within which the golden section is studied. In this work we apply the concept to all proportiones perfectus. Let be
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Hauer, Thomas. "Mind, Computation and the Incompleteness of the Formal System." Metaphysica, May 7, 2025. https://doi.org/10.1515/mp-2024-0044.

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Abstract The nature of mind and the relationship of mind to the current form of AI is one of the great and fundamental topics of contemporary philosophy and science. Is the human mind computational or not? Can the brain perform processes that no Turing machine can perform? Can the mind be simulated? Does the incompleteness of the formal system, or the undecidability of all formulas, mean the impossibility of intelligent behaviour? Is it a necessary condition of intelligence to answer all possible questions and tasks, and if so, what answers will be sufficient in the assessment? Only correct an
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Polat, Sevgi. "Optimizing Production Planning in Cement Manufacturing Using SVR." Computational Intelligence and Machine Learning 5, no. 2 (2025). https://doi.org/10.36647/ciml/05.02.a002.

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The devastating earthquake that caused significant destruction in 11 provinces on February 6, 2023, has accelerated the growth rate of the cement sector. This rapid growth, coupled with increasing stock market activity, marks a golden age for the sector while emphasizing the critical need for accurate future production forecasting. Leveraging the predictive capabilities of machine learning algorithms, experiments were conducted using five years of production data from a cement factory in the Southeastern Anatolia region. The Support Vector Regression (SVR) model, an application of the Support
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Tran, Van Truong, Huu Duy Nguyen, Dang Thi Ngoc, et al. "Flood assessment using machine learning and its implications for coastal spatial planning in Phu Yen Province, Vietnam." Journal of Water and Climate Change, July 22, 2024. http://dx.doi.org/10.2166/wcc.2024.035.

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ABSTRACT The objective of this study was the development of a new machine learning model using a radial basis function neural network (RBFNN) to build flood susceptibility maps and damage assessment for the Phu Yen province of Vietnam. The built model will be optimized by five algorithms, namely Giant Trevally Optimization (GTO), Golden Jackal Optimization (GJO), Brown-Bear Optimization (BBO), Gray Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA) to find out the best model to establish the flood susceptibility map. These models were evaluated using the statistical indices such as r
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Kaffka genaamd Dengler, Selma E., Mudit Mishra, Sjoerd van Tuijl, et al. "Validation of the slaughterhouse porcine heart model for ex-situ heart perfusion studies." Perfusion, January 13, 2023, 026765912311527. http://dx.doi.org/10.1177/02676591231152718.

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Introduction To validate slaughterhouse hearts for ex-situ heart perfusion studies, we compared cold oxygenated machine perfusion in less expensive porcine slaughterhouse hearts ( N = 7) to porcine hearts that are harvested following the golden standard in laboratory animals ( N = 6). Methods All hearts received modified St Thomas 2 crystalloid cardioplegia prior to 4 hours of cold oxygenated machine perfusion. Hearts were perfused with homemade modified Steen heart solution with a perfusion pressure of 20–25 mmHg to achieve a coronary flow between 100–200 mL/min. Reperfusion and testing was p
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Kaur, Sandeep, Manoj Kumar Sachan, and Ashwani Kumar Aggarwal. "Classification of Royal Delicious Apples using Hybrid Feature Selection and Feature Weighting Method Based on SVM Classifier." Scalable Computing: Practice and Experience 26, no. 2 (2025). https://doi.org/10.12694/scpe.v26i2.3924.

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Fruit safety is a critical component of the global economy, particularly within the agricultural sector. There has been a recent surge in the incidence of diseases affecting fruits, leading to economic setbacks in agriculture worldwide. Conventional manual assessment methods are laborious, prompting the exploration of automated computerized techniques for evaluating fruit quality. This research presents a novel method for assessing the quality of golden delicious apples. A dataset comprising 1256 apple images was gathered under controlled conditions. Afterward Feature extraction focuses on tex
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Colombo, Elisa, Tim Fick, Giuseppe Esposito, Menno Germans, Luca Regli, and Tristan van Doormaal. "Segmentation techniques of brain arteriovenous malformations for 3D visualization: a systematic review." La radiologia medica, October 18, 2022. http://dx.doi.org/10.1007/s11547-022-01567-5.

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Abstract Background Visualization, analysis and characterization of the angioarchitecture of a brain arteriovenous malformation (bAVM) present crucial steps for understanding and management of these complex lesions. Three-dimensional (3D) segmentation and 3D visualization of bAVMs play hereby a significant role. We performed a systematic review regarding currently available 3D segmentation and visualization techniques for bAVMs. Methods PubMed, Embase and Google Scholar were searched to identify studies reporting 3D segmentation techniques applied to bAVM characterization. Category of input sc
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Yamin, Nuzhat, and Ganapati Bhat. "Uncertainty-Aware Energy Harvest Prediction and Management for IoT Devices." ACM Transactions on Design Automation of Electronic Systems, June 29, 2023. http://dx.doi.org/10.1145/3606372.

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Internet of things (IoT) devices are popular in several high-impact applications such as mobile healthcare and digital agriculture. However, IoT devices have limited operating lifetime due to their small form factor. Harvesting energy from ambient sources is an effective method to supplement the battery. Energy harvesting necessitates development of energy management policies to manage the harvested energy. Designing optimal policies for energy management is challenging for two key reasons: 1) ambient energy sources are highly stochastic; therefore, energy management policies must consider the
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2662057.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2663108.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2663719.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2664678.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2665673.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2666671.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2672394.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2814691.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2825814.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2828728.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2831403.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2840798.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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SP., CHOKKALINGAM, and KOMATHY K. "IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images." International Journal of Electronics and Communication Engineering 7.0, no. 11 (2013). https://doi.org/10.5281/zenodo.2863041.

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Abstract- Advances in the field of image processing envisions a new era of evaluation techniques and application of procedures in various different fields. One such field being considered is the biomedical field for prognosis as well as diagnosis of diseases. This plethora of methods though provides a wide range of options to select from, it also proves confusion in selecting the apt process and also in finding which one is more suitable. Our objective is to use a series of techniques on bone scans so as to detect the occurrence of rheumatoid arthritis (RA) accurately as much as possible. Amon
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Zhang, Yuhang, Yue Cao, Rojano Kashani, Theodore S. Lawrence, and James M. Balter. "Real-time prediction of stomach motions based upon gastric contraction and breathing models." Physics in Medicine & Biology, September 29, 2022. http://dx.doi.org/10.1088/1361-6560/ac9660.

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Abstract Objective: Precision radiation therapy requires managing motions of organs at risk that occur during treatment. While methods have been developed for real-time respiratory motion tracking, non-breathing intra-fractional variations (including gastric contractile motion) have seen little attention to date. The purpose of this study is to develop a cyclic gastric contractile motion prediction model to support real-time management during radiotherapy. Approach: The observed short-term reproducibility of gastric contractile motion permitted development of a prediction model that 1) extract
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Kim, Young Woo, Junhong Kim, Hyeong Jun Lee, and JOON SANG LEE. "Abstract 10961: Integrated Coronary Vascular Disease Diagnosis System Based on Two-Step Neural Network Algorithm Trained by Synthetic Model and Patient Biometric Features." Circulation 144, Suppl_1 (2021). http://dx.doi.org/10.1161/circ.144.suppl_1.10961.

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Introduction: Fractional flow reserve (FFR) is the golden standard that determines whether coronary artery disease (CAD) surgery is necessary or not. Invasive FFR uses pressure wire to obtain the pressure ratio of proximal and distal lesion. However, the burden from high cost and time due to invasive process makes it difficult to perform diagnosis. To overcome these limitations, FFR can be measured non-invasive through CFD analysis based on geometry models obtained from observational equipment such as coronary computer tomography (CT). However, obtaining this FFR value consumes considerable ti
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Hellwig, Konstantin, Stephan Ellmann, Markus Eckstein, et al. "Predictive Value of Multiparametric MRI for Response to Single-Cycle Induction Chemo-Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma." Frontiers in Oncology 11 (October 21, 2021). http://dx.doi.org/10.3389/fonc.2021.734872.

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ObjectivesTo assess the predictive value of multiparametric MRI for treatment response evaluation of induction chemo-immunotherapy in locally advanced head and neck squamous cell carcinoma.MethodsTwenty-two patients with locally advanced, histologically confirmed head and neck squamous cell carcinoma who were enrolled in the prospective multicenter phase II CheckRad-CD8 trial were included in the current analysis. In this unplanned secondary single-center analysis, all patients who received contrast-enhanced MRI at baseline and in week 4 after single-cycle induction therapy with cisplatin/doce
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White, Jessica. "Body Language." M/C Journal 13, no. 3 (2010). http://dx.doi.org/10.5204/mcj.256.

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Jessica craned her head to take in the imposing, stone building, then lowered her gaze to the gold-plated sign at the base of the steps. “Institute of Methodology”, it read. Inside the heavy iron doors, a woman sat at a desk, her face devoid of expression. “Subject area?” asked the woman. “Uhmm, feminism ... and fiction, I think.” “Turn right.” “Do you have a map?” “No.” “How am I meant to find things?” “Each has their own method; it’s not up to us to prescribe that.” Jessica sighed, readjusted her handbag and turned right. A corridor stretched out before her. She set off, her stiletto boots e
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