CALCULATION OF WEIGHT COEFFICIENTS IN CONTINUOUS PARTICLE FILTER by K. A. Rybakov

“…Along with the representation by a continuous function, it is shown that the path of the weight function can be presented by a piecewise constant function with nonnegative real values and also by a piecewise constant function with nonnegative integer values. …”
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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets. by Kazi Arman Ahmed, Israt Humaira, Ashiqur Rahman Khan, Md Shamim Hasan, Mukitul Islam, Anik Roy, Mehrab Karim, Mezbah Uddin, Ashique Mohammad, Md Doulotuzzaman Xames

“…This study employs various machine learning (ML) algorithms, including KNN, SVM, ANN, RF, XGBoost, ensemble models, AutoML, and deep learning (DL) techniques, to enhance breast cancer diagnosis. …”
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Intelligent Stroke Disease Prediction Model Using Deep Learning Approaches by Chunhua Gao, Hui Wang

“…Further ablation experiments also show that the designed prediction model has certain robustness and can effectively predict stroke diseases.…”
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Free field Active Noise Control system development using a 3D Finite Element based approach by Budnik Maximilian, Mees Valentin

“…It further allows for the optimization of control algorithms, evaluation of the attenuation performance, and methodical iteration of the overall concept design. …”
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Defect detection and localization in hydrogen pipelinesusing acoustic emission technique by Zi Wen Tham, Santhakumar Sampath, Lei Zhang

“…Furthermore, triangulation algorithms were employed to improve defect classification and localization accuracy. …”
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Upholding human dignity in AI: Advocating moral reasoning over consensus ethics for value alignment by Octavian-Mihai Machidon

“…While this model offers flexibility, it also risks moral relativism and ethical instability as social norms fluctuate. …”
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Study of the electromagnetic processes in converter with twenty four zoned regulations of the voltage by В. Михайленко, Ю. Чуняк, М. Прудніков

“…The mathematical model of the semiconductor converter is also used to research transients in semiconductor converters with active inductive load. …”
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An Analysis of Intelligent Turkish Text Classification Models for Routing Calls in Call Centers: A Case Study on the Republic of Turkiye Ministry of Trade Call Center by Muammer Özdemir, Yasin Ortakcı

“…The proposed solution not only improves the efficiency of MTCC's call routing but also provides researchers with practical insights regarding Turkish text classification. …”
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Radar-Based Heart Cardiac Activity Measurements: A Review by Alvaro Frazao, Pedro Pinho, Daniel Albuquerque

“…In recent years, with the increased interest in smart home technology and the increased need to remotely monitor patients due to the pandemic, demand for contactless systems for vital sign measurements has also been on the rise. One of these kinds of systems are Doppler radar systems. …”
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Comprehensive Review of Vehicle-to-Grid Technology Effect on Frequency Stability in Electric Power Systems by Citra Dewi, Adrianti Adrianti, Muhammad Nasir

“…This paper examines the battery electric vehicles’ demand nature also as an ancillary support resource to address intermittency of renewable energy sources and grid frequency support through V2G technology. …”
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Comparing the Use of Simu5G and 5G-Sim-V2I/N Modules When Analysing the Edge Computing Resource Management Efficiency by Cristina Bernad, Katja Gilly, Sonja Filiposka, Nigel Thomas, Pedro Juan Roig, Salvador Alcaraz

“…Performance analysis of smart edge computing orchestration algorithms should be done using a realistic urban simulation environment wherein mobile users are accessing their edge services using a readily available 5G network. …”
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The calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesis. by Toviah Moldwin, Li Shay Azran, Idan Segev

“…Our study bridges the gap between theoretical learning algorithms and their biological counterparts, not only replicating established learning paradigms but also introducing novel rules.…”
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Biometric Authentication Using Chest Wall Displacement Recorded by VHF-Band Loop Antenna by Shun Hinatsu, Saki Wada

“…We then applied non-fiducial techniques and classification algorithms to the signals under both intra- and inter-recording states. …”
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A new representation in genetic programming with hybrid feature ranking criterion for high-dimensional feature selection by Jiayi Li, Fan Zhang, Jianbin Ma

“…Further comparisons between GPHC and other evolutionary algorithms demonstrate that GPHC has advantages in terms of classification performance, the number of features, and convergence speed.…”
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Green AI: Navigating sustainability and environmental impact from an Indian perspective by Martin Natasha, Sharma Vishnu

“…With the passage of time, AI has evolved from a tool executing pre-configured algorithmic codes to a more advanced version, possessing cognitive skills almost similar to humans. …”
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Integrating AI in Project-Based Learning for Differentiated English Language Instruction: A Scoping Review by Arqam, Andi Asrifan

“…However, the analysis also notes ethical issues connected to data privacy and algorithmic biases and the need for teacher training to use AI in schools effectively. …”
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AI-powered analysis of ESG disclosure: a clustering approach to determinants and motivations by Ouissal El Aziz, Abdelkarim Asdiou

“…The study demonstrated that ESG communication can be influenced by various factors such as company size, sector of activity, financial performance, governance structure… Algorithmic analysis of these factors led to the identification of six distinct clusters of underlying drivers, providing a two-dimensional analytical framework that illuminates not only the elements influencing ESG communication, but also the strategic motivations behind this approach. …”
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Measurement-Induced Entanglement and Complexity in Random Constant-Depth 2D Quantum Circuits by Max McGinley, Wen Wei Ho, Daniel Malz

“…In addition, we also prove that these random constant-depth quantum circuits cannot be simulated by any classical circuit of sublogarithmic depth.…”
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Ai And Creative Research In Algerian Universities: Faculty Perspectives On Integration by Meryem Kehal

“…Notably, machine learning algorithms and natural language processing were identified as particularly beneficial. …”
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TKEO-Enhanced Machine Learning for Classification of Bearing Faults in Predictive Maintenance by Xuanbai Yu, Olivier Caspary

“…Different data segmentation lengths (2400 and 12,000 samples) were evaluated to assess the impact of segment size on classification accuracy. The study also investigated the effects of various feature selection strategies by comparing four- and six-feature combinations. …”
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