Relevant bibliographies by topics / Advance RISC machine

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Advance RISC machine'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Advance RISC machine.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Advance RISC machine"

1

Huang, Rui. "A Man-machine Interaction System Based on the Advanced RISC Machines." Journal of Applied Sciences 13, no. 12 (2013): 2246–51. http://dx.doi.org/10.3923/jas.2013.2246.2251.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Prakash Manjappasetty Masagali, Bhanu. "Machine Learning Algorithms for Advanced Risk Stratification and Personalized Intervention Planning in Long-Term Care: A Focus on Gradient Boosting Machine (GBM) Algorithm." International Journal of Science and Research (IJSR) 14, no. 1 (2025): 219–23. https://doi.org/10.21275/sr25103124013.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Vidhya, S., S. Dharani, and Kumar S. Ajith. "Surveillance Robot Capturing Intruder Using PIR Sensor." Journal of Remote Sensing GIS & Technology 5, no. 3 (2019): 36–40. https://doi.org/10.5281/zenodo.3576712.

Full text
Abstract:
This paper focuses on a surveillance mission performed by an autonomous mobile robot in an environment. In this mission, by using flexibility and monitoring function, the Robert is expected to detect as many intruders as possible. However, the robot does not know where and how many environmental intruders are present without the data, estimating an intrusion pattern and detecting unknown intruders is impossible for the robot. By proposing a novel surveillance method this challenges in order to estimate intrusion trend for the robot. For this purpose, Bayes’ rule is basically used. This p
APA, Harvard, Vancouver, ISO, and other styles
4

Odette Boussi, Grace, Himanshu Gupta, and Syed Akhter Hossain. "Enhancing financial cybersecurity via advanced machine learning: analysis, comparison." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 2 (2025): 1281. https://doi.org/10.11591/ijai.v14.i2.pp1281-1289.

Full text
Abstract:
The financial sector is a prime target for cyber-attacks due to the sensitive nature of the data it handles. As the frequency and sophistication of cyber threats continue to rise, implementing effective security measures becomes paramount. In this paper we provide a comprehensive comparison of six prominent machine learning techniques utilized in the financial industry for cyber-attack prevention. The study aims to identify the best-performing model and subsequently compares its performance with a proposed model tailored to the specific challenges faced by financial institutions. This paper lo
APA, Harvard, Vancouver, ISO, and other styles
5

Grace, Odette Boussi, Gupta Himanshu, and Akhter Hossain Syed. "Enhancing financial cybersecurity via advanced machine learning: analysis, comparison." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 2 (2025): 1281–89. https://doi.org/10.11591/ijai.v14.i2.pp1281-1289.

Full text
Abstract:
The financial sector is a prime target for cyber-attacks due to the sensitive nature of the data it handles. As the frequency and sophistication of cyber threats continue to rise, implementing effective security measures becomes paramount. In this paper we provide a comprehensive comparison of six prominent machine learning techniques utilized in the financial industry for cyber-attack prevention. The study aims to identify the best-performing model and subsequently compares its performance with a proposed model tailored to the specific challenges faced by financial institutions. This paper lo
APA, Harvard, Vancouver, ISO, and other styles
6

Haw, Su-Cheng. "Editorial: Perspectives on Machine Learning." Journal of Telecommunications and the Digital Economy 12, no. 3 (2024): 1–6. http://dx.doi.org/10.18080/jtde.v12n3.1042.

Full text
Abstract:
Progress in machine learning technology has truly impacted our lives by tailoring many of our daily experiences to be seamless and intuitive. This innovation has brought about changes in day-to-day routines; from suggesting music based on our emotions to offering recommendations for places to visit or meals to try out. This special issue explores various Machine Learning technologies. Among some are Machine Learning advances that improve human interaction, predict user behaviours, analyse user reviews, and optimize high-risk investments like Bitcoin trading. These technologies enhance user exp
APA, Harvard, Vancouver, ISO, and other styles
7

Onyshchenko, Borys, Volodymyr Onyshchenko, Volodymyr Nazarenko, and Vasyl Achkevych. "Experimental study of the time of pressure rise and fall in the sprayer pipe." Naukovij žurnal «Tehnìka ta energetika» 15, no. 1 (2024): 95–103. http://dx.doi.org/10.31548/machinery/1.2024.95.

Full text
Abstract:
A wide variety of meteorological factors, soil and climatic conditions, the saturation of fields with many types of weeds, a significant set of cultivated plants and many other factors necessitate the implementation of innovative technological schemes for the use of pesticides, which will reduce the pesticide load as much as possible and determine the safe environmental effect of preparations. Experimental studies were carried out to determine the time of pressure rise and fall in the sprayer pipe and to establish the corresponding functional dependencies. The automatic adjustment system of th
APA, Harvard, Vancouver, ISO, and other styles
8

Bindu Sree. "A Comprehensive Machine Learning Approach for Advanced Vehicle Detection and Counting." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 4 (2024): 219–24. http://dx.doi.org/10.32628/cseit2410415.

Full text
Abstract:
The exponential rise of urban areas and the associated surge in transportation congestion. Consequently, this study offers a thorough method for vehicle recognition and counting via the use of machine learning, as well as an effective system for real-time traffic monitoring, with the aim of reducing traffic. The first step is to develop a model that can identify and follow moving cars in still photos or video. This research delves into the topic of teaching a computer to count automobiles using machine learning, a kind of artificial intelligence. The purpose of this study is to provide a compu
APA, Harvard, Vancouver, ISO, and other styles
9

Prof. M. S. Patil, Benkar Anuradha, Gaikwad Madhuri, and Sawant Supriya. "CARDIO PREDICT: HARNESSING MACHINE LEARNING FOR ADVANCED HEART DISEASE RISK ASSESSMENT." International Journal of Innovations in Engineering Research and Technology 11, no. 4 (2024): 28–32. http://dx.doi.org/10.26662/ijiert.v11i4.pp28-32.

Full text
Abstract:
Heart disease prediction using machine learning algorithms has gained significant attention due to its potential to improve diagnosis and treatment. This study explores various machine learning techniques and an algorithm applied to heart disease prediction. We analyze the performance of popular algorithms such as logistic regression, decision trees, random forests, support vector machines, and artificial neural networks on heart disease datasets. Additionally, we investigate the impact of feature selection, data preprocessing techniques, and model evaluation metrics on the predictive performa
APA, Harvard, Vancouver, ISO, and other styles
10

AFANASIEVA, Maryna. "RISK ANALYSIS OF INEFFICIENCY AT UKRAINE’S MACHINE BUILDING ENTERPRISES." Economy of Ukraine 2019, no. 3 (2019): 22–34. http://dx.doi.org/10.15407/economyukr.2019.03.022.

Full text
Abstract:
The paper considers the risk identification of inefficiency concerning 51 Ukrainian joint-stock companies of machine building in 2012–2017. The value added at factor cost (VA) is determined as the resulting indicator of production efficiency, which is a source of income of various social groups, so it contributes to combined efforts. To support advanced production and management technologies, rather than an extensive market capture, the multiplicative model of VA has been suggested with the VA share in output to assess the quality processes within the enterprise. Economic analysis of the annua
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Advance RISC machine"

1

Zaccagni, Zachary James. "Flexible autonomous robotic task scheduling using advanced RISC machines." Thesis, Wichita State University, 2008. http://hdl.handle.net/10057/2017.

Full text
Abstract:
This research presents two methods for a group of Garcia robots to collaboratively decide which task to attend to, and to move to their respective locations. One method allows for a needed flexibility and dynamic analysis in this distributed system of any number of robots coupled with any number of target locations, but is tied too closely to distance measurements. The other method is the implementation of Peter Molnar’s approach, which is free from any specificity for determining preferences, but is shown to have some other limitations. The packet loss problem inherent of broadcast communicat
APA, Harvard, Vancouver, ISO, and other styles
2

Zaccagni, Zachary James Namuduri Kameswara. "Flexible autonomous robotic task scheduling using advanced RISC machines." A link to full text of this thesis in SOAR, 2008. http://hdl.handle.net/10057/2017.

Full text
Abstract:
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Computer Science.<br>Copyright 2008 by Zachary James Zaccagni. All Rights Reserved. Includes bibliographical references (leaves 56-57).
APA, Harvard, Vancouver, ISO, and other styles
3

Dreijer, Gregor (Gregor Steve). "The evaluation of an ARM-based on-board computer for a low earth orbit satellite." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53112.

Full text
Abstract:
Thesis (MScEng)--University of Stellenbosch, 2002.<br>ENGLISH ABSTRACT: The use of commercial-off-the-shelf (COTS) components and emerging technologies in satellite systems has become increasingly popular over the past few years. This is mainly due to advances in radiation shielding and system-level reliability improving techniques. The use of a new generation commercial processor in the design of a satellite's on-board computer (OBC) is now considered a feasible option. The aim of this thesis was to evaluate the use of a commercial grade ARM processor in a low earth orbit (LEO) microsa
APA, Harvard, Vancouver, ISO, and other styles
4

Michielan, Lisa. "Advance Methodologies in Linear and Nonlinear Quantitative Structure-Activity Relationships (QSARs): from Drug Design to In Silico Toxicology Applications." Doctoral thesis, Università degli studi di Padova, 2010. http://hdl.handle.net/11577/3422242.

Full text
Abstract:
Novel computational strategies are continuously being demanded by the pharmaceutical industry to assist, improve and speed up the drug discovery process. In this scenario chemoinformatics provide reliable mathematical tools to derive quantitative structure-activity relationships (QSARs), able to describe the correlation between molecular descriptors and various experimental profiles of the compounds. In the last years, nonlinear machine learning approaches have demonstrated a noteworthy predictive capability in several QSAR applications, confirming their superiority over the traditional linear
APA, Harvard, Vancouver, ISO, and other styles
5

DI, NAPOLI MARIANO. "Spatial prediction of landslide susceptibility/intensity through advanced statistical approaches implementation: applications to the Cinque Terre (Eastern Liguria, Italy)." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1076506.

Full text
Abstract:
Landslides are frequently responsible for considerable huge economic losses and casualties in mountainous regions especially nowadays as development expands into unstable hillslope areas under the pressures of increasing population size and urbanization (Di Martire et al. 2012). People are not the only vulnerable targets of landslides. Indeed, mass movements can easily lay waste to everything in their path, threatening human properties, infrastructures and natural environments. Italy is severely affected by landslide phenomena and it is one of the most European countries affected by this kind
APA, Harvard, Vancouver, ISO, and other styles
6

HAZOOR, ABRAR. "(Provisional) Development and Implementation of a Novel Intelligent Speed Adaptation System Based on Sight Distance." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973432.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Chen, Hui-Ling, and 陳慧鈴. "An Implementation of Digital Image Transmission on Advanced RISC Machine Cortex-M3 Processor." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/r8xhdq.

Full text
Abstract:
碩士<br>國立勤益科技大學<br>電子工程系<br>105<br>This paper puts forward use digital image transmission way will light message to gather arrive, export digital image at once information via after change handle, and will digital image information delivers to embedded system, via embedded system transmission image to liquid crystal display or mobile phone, in order to achieve real-time surveillance or home care applications. The system design and planning of a into three parts: (1) Image design portion of, OV7670 CMOS image sensor used in combination with optical lens to the camera module, and camera module us
APA, Harvard, Vancouver, ISO, and other styles
8

Reichenbach, Jonas. "Credit scoring with advanced analytics: applying machine learning methods for credit risk assessment at the Frankfurter sparkasse." Master's thesis, 2018. http://hdl.handle.net/10362/49557.

Full text
Abstract:
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management<br>The need for controlling and managing credit risk obliges financial institutions to constantly reconsider their credit scoring methods. In the recent years, machine learning has shown improvement over the common traditional methods for the application of credit scoring. Even small improvements in prediction quality are of great interest for the financial institutions. In this thesis classification methods are appli
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Advance RISC machine"

1

Agency, International Atomic Energy, ed. Safety issues for advanced protection, control and human-machine interface systems in operating nuclear power plants. International Atomic Energy Agency, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Giudici, Paolo, and Giulio Mignola. Big Data & Advanced Analytics per il Risk Management. AIFIRM, 2022. http://dx.doi.org/10.47473/2016ppa00035.

Full text
Abstract:
One of the main consequences of the digital revolution, which for the last few years has been transforming almost every economic activity, has been an unprecedented availability of big data. At the same time, recent technological breakthroughs have provided tools (technological infrastructures and analytical methodologies) capable of processing these large amounts of data in a very short timeframe. Against this backdrop, the introduction of machine-learning models has been spreading. Even the Banking and Insurance sectors, despite their long-standing tradition of using statistical models, have
APA, Harvard, Vancouver, ISO, and other styles
3

Gaivoronski, Alexei A., Pavel S. Knopov, Vladimir I. Norkin, and Volodymyr A. Zaslavskyi. Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection 2: Methods and Tools. ISTE-Wiley, 2025. https://doi.org/10.1115/1.862smo.

Full text
Abstract:
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures against threats – both natural and adversarial. Divided into two volumes, this first volume examines stochastic modeling across key economic sectors and their interconnections, while the second volume focuses on advanced mathematical methods for enhancing infrastructure protection. The book covers a range of themes, including risk assessment techniques that account for systemic interdependencies w
APA, Harvard, Vancouver, ISO, and other styles
4

International Atomic Energy Agency; IAEA. Safety Issues for Advanced Protection, Control and Human-Machine Interface Systems in Operating Nuclear Power Plants (Safety Report, 10). International Atomic Energy Agency, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Drury, Joseph. Libertines and Machines in Love in Excess. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198792383.003.0003.

Full text
Abstract:
This chapter reads Eliza Haywood’s seduction fiction and eighteenth-century anti-novel discourse in relation to the debate on the freedom of the will prompted by the rise of mechanical philosophy. Haywood’s protagonists are machines whose actions are determined by external causes. The central tension in Love in Excess revolves around the two opposing conclusions she derives from this premise. At times, she seems to endorse her male protagonist’s claim that necessary agents cannot be held responsible for their transgressions and invites her readers to suspend their moral judgement. But elsewher
APA, Harvard, Vancouver, ISO, and other styles
6

Cammack, Paul. The Politics of Global Competitiveness. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847867.001.0001.

Full text
Abstract:
Marx’s ‘general law of social production’, proposed in Capital (1867), suggests that as the capitalist system of production becomes global, and competition between capitalists becomes more intense, workers are compelled to be versatile (multi-skilled), flexible, and mobile in order to survive. This general law, resulting from scientific and technological innovation and continuous advances in the division of labour generated by competition between capitalists, has given rise to global production chains, ‘zero hours’ contracts, and the breaking down of production processes into smaller and small
APA, Harvard, Vancouver, ISO, and other styles
7

Bendix, Regina F., Kilian Bizer, and Dorothy Noyes. Sociability in Social Research. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040894.003.0005.

Full text
Abstract:
This chapter considers the research project as a temporary, liminal community, always at risk of dispersal from external incentives and internal frustrations. Participant commitment can be sustained through the traditional mechanism of ritual, while intellectual insight advances in play; junior researchers can animate both modes of sociability and achieve influence thereby. Shared space and shared time coordinate planned interactions and also facilitate spontaneous emergences. Examples from the Göttingen Interdisciplinary Working Group on Cultural Property illustrate the intellectual payoffs o
APA, Harvard, Vancouver, ISO, and other styles
8

Allen, Graham. Representing the New AI in Film and Television. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350378056.

Full text
Abstract:
The 21st-century has witnessed rapid advances in artificial intelligence, giving rise to a society at once hopeful but also mistrustful of the possibilities that this technology offers. Our hopes and anxieties have played out across a variety of media in recent times, but arguably nowhere more significantly than on our screens. This book explores a phenomenon, which it calls the new AI cinema and television, arguing that since the mid-2010s, a distinctly new phase in the representation of AI has occurred. Discussing films such as Blade Runner 2049, Ex Machina and Ghost in the Shell alongside t
APA, Harvard, Vancouver, ISO, and other styles
9

Woolley, Samuel C., and Philip N. Howard. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190931407.003.0001.

Full text
Abstract:
Computational propaganda is an emergent form of political manipulation that occurs over the Internet. The term describes the assemblage of social media platforms, autonomous agents, algorithms, and big data tasked with manipulating public opinion. Our research shows that this new mode of interrupting and influencing communication is on the rise around the globe. Advances in computing technology, especially around social automation, machine learning, and artificial intelligence, mean that computational propaganda is becoming more sophisticated and harder to track. This introduction explores the
APA, Harvard, Vancouver, ISO, and other styles
10

Woolley, Samuel C., and Philip N. Howard, eds. Computational Propaganda. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190931407.001.0001.

Full text
Abstract:
Computational propaganda is an emergent form of political manipulation that occurs over the Internet. The term describes the assemblage of social media platforms, autonomous agents, algorithms, and big data tasked with the manipulation of public opinion. Our research shows that this new mode of interrupting and influencing communication is on the rise around the globe. Advances in computing technology, especially around social automation, machine learning, and artificial intelligence mean that computational propaganda is becoming more sophisticated and harder to track at an alarming rate. This
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Advance RISC machine"

1

Gayen, Amiya, and Sk Mafizul Haque. "Gully Erosion Susceptibility Using Advanced Machine Learning Method in Pathro River Basin, India." In Disaster Risk Reduction. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7707-9_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Amann, Julia. "Machine in Medicine: Opportunities and Challenges for and." In Advances in Neuroethics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74188-4_5.

Full text
Abstract:
AbstractStroke is one of the leading causes of mortality and disability worldwide, causing individual hardship and high economic cost for society. Reducing the global burden of stroke depends on a multi-pronged mission, and experts agree an important strategy in this mission is prevention. Prevention success can be bolstered through the strategic development and adoption of risk prediction tools. However, there are several limitations to risk prediction models currently available. A solution to some of these limitations may be found in machine learning (ML), a promising tool that can improve our ability to assess risk and ultimately prevent strokes.This chapter surveys the global burden of stroke and describes current practices for reducing stroke incidence and stroke mortality rates. In particular, the chapter reviews how ML applications are applied to stroke risk prediction and prevention and identifies important technological and methodological challenges for using ML in these contexts. The chapter concludes by drawing the readers’ attention to some of the questions and ethical challenges that arise as clinicians widely adopt ML-based applications in practice.
APA, Harvard, Vancouver, ISO, and other styles
3

Wang, Liping, and Fanglin An. "Machine Learning Algorithm Credit Risk Prediction Model." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53980-1_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Pillai, Sivakumar G., Jennifer Woodbury, Nikhil Dikshit, Avery Leider, and Charles C. Tappert. "Machine Learning Analysis of Mortgage Credit Risk." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32520-6_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Eastwood, S., and S. Yanushkevich. "Risk Assessment in Authentication Machines." In Recent Advances in Computational Intelligence in Defense and Security. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26450-9_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kashyap, Gautam Siddharth, Ayesha Siddiqui, Ramsha Siddiqui, Karan Malik, Samar Wazir, and Alexander E. I. Brownlee. "Prediction of suicidal risk using machine learning models." In Research Advances in Intelligent Computing. CRC Press, 2024. http://dx.doi.org/10.1201/9781003433941-11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Poonia, Ramesh Chandra, Kamal Upreti, Bosco Paul Alapatt, and Samreen Jafri. "Real-Time Cyber-Physical Risk Management Leveraging Advanced Security Technologies." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4581-4_25.

Full text
Abstract:
AbstractConducting an in-depth study on algorithms addressing the interaction problem in the fields of machine learning and IoT security involves a meticulous evaluation of performance measures to ensure global reliability. The study examines key metrics such as accuracy, precision, recall, and F1 scores across ten scenarios. The highly competitive algorithms showcase accuracy rates ranging from 95.5 to 98.2%, demonstrating their ability to perform accurately in various situations. Precision and recall measurements yield similar information about the model's capabilities. The achieved balance between accuracy and recovery, as determined by the F1 tests ranging from 95.2 to 98.0%, emphasizes the practical importance of data transfer in the proposed method. Numerical evaluation, in addition to an analysis of overall performance metrics, provides a comprehensive understanding of the algorithm's performance and identifies potential areas for improvement. This research leads to advancements in the theoretical vision of machine learning for IoT protection. It offers real-world insights into the practical use of robust models in dynamically changing situations. As the Internet of Things environment continues to evolve, the study's results serve as crucial guides, laying the foundation for developing strong and effective security systems in the realm of interaction between virtual and material reality.
APA, Harvard, Vancouver, ISO, and other styles
8

Melendez, Roy. "Credit Risk Analysis Applying Machine Learning Classification Models." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22871-2_57.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ahmed, Nada, and Ajith Abraham. "Modeling Cloud Computing Risk Assessment Using Machine Learning." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13572-4_26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kumar, Mukesh, Rahul Kumar, Abhishek Lagad, and Khalifa Musa Lawal. "Stroke risk prediction model using machine learning techniques." In Advances in Networks, Intelligence and Computing. CRC Press, 2024. http://dx.doi.org/10.1201/9781003430421-32.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Advance RISC machine"

1

Pathak, Abhijit, Touhidul Alam Seyam, Arnab Chakraborty, Nurjahan Kamal Santa, Eftakar Uddin, and Tasmim Akther Mim. "Enhancing Cardiovascular Risk Prediction Using Support Vector Machines and Advanced Machine Learning Algorithms." In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS). IEEE, 2024. https://doi.org/10.1109/compas60761.2024.10796805.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Bonthu, Yasaswini, Subbarao Mannam, Gayithri Kandikunta, Vikranth Goud Keshagani, and Greeshma Sarath. "Heart Attack Risk Prediction Using Advanced Machine Learning Techniques." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725867.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ahammad, Md Saymon, Sadia Akter Sinthia, Mahjabeen Hossain, Md Mustak Ahmed, and Mithila Ghosh. "Empowering Maternal Health in Bangladesh: Advanced Risk Prediction with Machine Learning." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10723847.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Katlariwala, Soham Biren, Vaibhav C. Gandhi, Nirav Patel, Devendra Parmar, and Ayushi Desai. "TriBoost and Beyond: Advanced Machine Learning Approaches for Diabetes Risk Prediction." In 2025 International Conference on Electronics and Renewable Systems (ICEARS). IEEE, 2025. https://doi.org/10.1109/icears64219.2025.10941310.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Gandhimathi, Suma Kamalesh, Rajesh S M, K. Ghamya, A. Lakshmi Lohitha, A. Vinitha, and C. Surya Prakash Reddy. "Machine Learning Mastery in Cardiovascular Risk Assessment." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10895421.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Jain, Eshika, and Amanveer Singh. "Advanced Gradient Boosting Techniques for Predicting Obesity Risk: A Comprehensive Machine Learning Approach." In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2024. https://doi.org/10.1109/icscna63714.2024.10863912.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Arman, Mithila, Saroar Jahan Shuba, Md Mahfuzur Rhaman, et al. "PrecisionStroke: Optimized Stroke Risk Prediction through Advanced Hyperparameter Tuning and Machine Learning Techniques." In 2025 IEEE Conference on Computer Applications (ICCA). IEEE, 2025. https://doi.org/10.1109/icca65395.2025.11011106.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Cruz, Guillermo, César Álvaro, and José Santisteban. "Prediction of Theft Risk Areas using Machine Learning Algorithms." In 2024 IEEE 4th International Conference on Advanced Learning Technologies on Education & Research (ICALTER). IEEE, 2024. https://doi.org/10.1109/icalter65499.2024.10819210.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Thakur, Hardeo Kumar, Dinesh Prasad Sahu, Rajnish Kumar Chaturvedi, Govind Kumar Jha, and Divya Kumari. "Predicting Diabetes Risk: A Comparative Analysis of Machine Learning Algorithms." In 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT). IEEE, 2025. https://doi.org/10.1109/ce2ct64011.2025.10939319.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ye, Bingqing, Zhangyi Shen, Aohan Ji, et al. "Advances in Electronic Health Record Analysis for Diabetes Risk Prediction: A Machine Learning-Enhanced Framework." In 2024 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE). IEEE, 2024. https://doi.org/10.1109/icaice63571.2024.10864273.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Advance RISC machine"

1

Heo, YeongAe, Joshua Humberston, and Jose Barreras Gonzalez. Evolving Multi-hazard Machine Learning Modeling for Advanced Risk-Informed Infrastructure Resilience Assessment. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2483390.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gomez-Gonzalez, Jose E., Jorge M. Uribe, and Oscar Valencia. Sovereign Risk and Economic Complexity. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0005533.

Full text
Abstract:
This paper investigates how a country's economic complexity influences its sovereign yield spread with respect to the United States. Notably, a one-unit increase in the Economic Complexity Index is associated with a reduction of about 87 basis points in the 10-year yield spread. However, this effect is largely non-significant for maturities under three years. This suggests that economic complexity affects not only the level of the sovereign yield spreads but also the curve slope. The first set of models utilizes advanced causal machine learning tools, while the second focuses on economic compl
APA, Harvard, Vancouver, ISO, and other styles
3

Valencia, Oscar, Juan José Díaz, and Diego A. Parra. Assessing Macro-Fiscal Risk for Latin American and Caribbean Countries. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004530.

Full text
Abstract:
This paper provides a comprehensive early warning system (EWS) that balances the classical signaling approach with the best-realized machine learning (ML) model for predicting fiscal stress episodes. Using accumulated local effects (ALE), we compute a set of thresholds for the most informative variables that drive the correlation between predictors. In addition, to evaluate the main country risks, we propose a leading fiscal risk indicator, highlighting macro, fiscal and institutional attributes. Estimates from different models suggest significant heterogeneity among the most critical variable
APA, Harvard, Vancouver, ISO, and other styles
4

Burton, Simon. The Path to Safe Machine Learning for Automotive Applications. SAE International, 2023. http://dx.doi.org/10.4271/epr2023023.

Full text
Abstract:
&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Recent rapid advancement in machine learning (ML) technologies have unlocked the potential for realizing advanced vehicle functions that were previously not feasible using traditional approaches to software development. One prominent example is the area of automated driving. However, there is much discussion regarding whether ML-based vehicle functions can be engineered to be acceptably safe, with concerns related to the inherent difficulty and ambiguity of the tasks to which the technology is applied. This leads to chal
APA, Harvard, Vancouver, ISO, and other styles
5

Kim, Kyungmee, and Boulanin Vincent. Artificial Intelligence for Climate Security: Possibilities and Challenges. Stockholm International Peace Research Institute, 2023. http://dx.doi.org/10.55163/qdse8934.

Full text
Abstract:
Recent advances in artificial intelligence (AI)—largely based on machine learning—offer possibilities for addressing climate-related security risks. AI can, for example, make disaster early-warning systems and long-term climate hazard modelling more efficient, reducing the risk that the impacts of climate change will lead to insecurity and conflict. This SIPRI Policy Report outlines the opportunities that AI presents for managing climate-related security risks. It gives examples of the use of AI in the field and delves into the problems—notably methodological and ethical—associated with the us
APA, Harvard, Vancouver, ISO, and other styles
6

Wilson, Thomas E., Avraham A. Levy, and Tzvi Tzfira. Controlling Early Stages of DNA Repair for Gene-targeting Enhancement in Plants. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7697124.bard.

Full text
Abstract:
Gene targeting (GT) is a much needed technology as a tool for plant research and for the precise engineering of crop species. Recent advances in this field have shown that the presence of a DNA double-strand break (DSB) in a genomic locus is critical for the integration of an exogenous DNA molecule introduced into this locus. This integration can occur via either non-homologous end joining (NHEJ) into the break or homologous recombination (HR) between the broken genomic DNA and the introduced vector. A bottleneck for DNA integration via HR is the machinery responsible for homology search and s
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Advance RISC machine' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography