Role of clinical evaluation in the identification of coronary obstructive disorders in patients with stable coronary artery disease. Part I by A. N. Sumin

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Accelerating machine learning at the edge with approximate computing on FPGAs by Luis Gerardo León-Vega, Eduardo Salazar-Villalobos, Jorge Castro-Godínez

“… Performing inference of complex machine learning (ML) algorithms at the edge is becoming important to unlink the system functionality from the cloud. …”
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Trading Efficiency for Control: the AI Conundrum in Migration Management by Gianluca Iazzolino

“…Specifically, this paper leverages the data justice and algorithmic accountability debates to examine two application of AI systems. …”
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Virtual acoustics: opportunities and limits of spatial sound reproduction by Michael VORLAENDER

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AIGC: a survey of AI-generated content technologies by ZHANG Xulong, QU Xiaoyang, XIE Junfei, LIU Pengcheng, XIAO Chunguang, WANG Jianzong

“…In recent years, the rapid development of deep learning models has significantly enhanced the generative capabilities of AIGC, making it a research hotspot in the field of artificial intelligence. …”
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Propagation of Soundwaves in Uncertain Environment – New Interval Perturbation Methodology by Agnieszka WINKLER–SKALNA

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Some Elements of Operational Modal Analysis by Rune Brincker

“…This paper gives an overview of the main components of operational modal analysis (OMA) and can serve as a tutorial for research oriented OMA applications. The paper gives a short introduction to the modeling of random responses and to the transforms often used in OMA such as the Fourier series, the Fourier integral, the Laplace transform, and the Z-transform. …”
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An evaluation of Kd-Trees vs Bounding Volume Hierarchy (BVH) acceleration structures in modern CPU architectures by Ernesto Rivera-Alvarado, Julio Zamora-Madrigal

“…Another well-known technique is Kd-Trees that uses binary space partitioning to adaptively subdivide space with planes. In this research, we made an up-to-date evaluation of both acceleration structures, using state-of-the-art BVH and Kd-Trees algorithms implemented in C, and found out that the Kd-Trees acceleration structure provided better performance in all defined scenarios on a modern x86 CPU architecture. …”
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A predictive analytics framework for opportunity sensing in stock market by Shruti Mittal, C.K. Nagpal

“… Large volume, random fluctuations and distractive patterns in raw price data lead to overfitting in stock price prediction. Thus research papers in this area suffer from multiple limitations: Very short prediction period from one day to one week, consideration of few stocks only instead of whole of stock market spectrum, exploration of more suitable machine learning algorithms. …”
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Implementation of smart devices in health crisis scenarios: risks and opportunities by Roberto Losada Maestre, Rubén Sánchez Medero

“…Tasks such as triage, diagnosis, or determining a patient’s life-threatening risk are some of the applications we can delegate to algorithms. However, the limited number of real clinical experiences and the lack of research on its implementation mean that we only partially understand the risks involved in its development. …”
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Cache replacement strategy based on content value by Dan HUANG, Rongfang SONG

“…The cache replacement mechanism is one of the important research issues of the content center network.Considering the limited cache space,the reasonable replacement of the cache content becomes a key factor affecting the overall performance of the network.Therefore,a cache replacement scheme based on content value was designed.Considering the dynamic popularity of content,the cost of caching,and the time of the most recently requested,a more realistic content value function was built,and an effective content storage and replacement scheme was designed based on the content value function.Specifically,when the cache space was insufficient,the existing cache contents were replaced according to the value from small to large.Simulation results show that compared with the traditional replacement algorithms LRU,LFU and FIFO,the proposed scheme effectively improves the content cache hit rate of network nodes and reduces the average hops of users’ content acquisition.…”
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Early Detection of Parkinson's Disease: Ensemble Learning for Improved Diagnosis by Raut Komal, Balpande Vijaya

“…This paper proposed several machine learning algorithms such as Decision Tree, Random Forest, Logistic Regression and Support Vector Machine and design an ensemble of these models to detect and classify Parkinson's disease. …”
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Enhanced Neutrosophic Set and Machine Learning Approach for Breast Cancer Prediction by Ashika T, Hannah Grace, Nivetha Martin, Florentin Smarandache

“…Using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset, the research transforms these data into Neutrosophic (N) representations to effectively capture uncertainties. …”
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AERODYNAMIC CHARACTERISTICS OF “FAN-IN-FIN” SYSTEM IN CONDITION OF FLOWING UNDER ZERO ATTACK ANGLE by V. I. Shaydakov

“…This angle increases with increase of the diffuser length and at medium speed it can reach 30°.Certainty of suggested algorithms is proved by comparison with experiments for helicopter fenestron and unmanned air vehicle by tests in wind tunnel of MAI.…”
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Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review by Luong Vuong Nguyen

“…We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources. …”
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COMPRESSION OF HIGH DYNAMIC RANGE OF SAR IMAGES by Yu. I. Golub

“…Objectives of study were comparison of known approaches to compression of the high dynamic range images; selection of optimal parameters for compression algorithms, and selection of a no-reference measure for image quality assessment after compression. …”
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THE USE OF ARTIFICIAL INTELLIGENCE IN FINANCIAL ADVISORY by David Michelini

“…However, respondents also expressed concerns regarding data security, the need for more reliability, and the transparency of AI algorithms, which could limit the broader adoption of these technologies. …”

Data asset valuation model based on generative artificial intelligence. by Yungang Tang, Yaoqian Liu, Daxin Liu

“…The model integrates data feature extraction, value generation algorithms, and market adaptability evaluations to address the shortcomings of traditional valuation methods in dynamic market environments. …”
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Image Based Detection of Coating Wear on Cutting Tools with Machine Learning by Jan Wolf, Nithin Kumar Bandaru, Martin Dienwiebel, Hans-Christian Möhring

“…Therefore, this research provides an efficient data processing and classification framework for detecting coating wear on cutting tools.…”
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Ensemble of Chaotic and Naive Approaches for Performance Enhancement in Video Encryption by Jeyamala Chandrasekaran, S. J. Thiruvengadam

“…This research work aims at enhancing the speed of naive approaches through chaos based S-box design. …”
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