Neural Networks Detection of Low-Amplitude Components on ECG Using Modified Wavelet Transform by A. V. Mnevets, N. G. Ivanushkina

“…The testing of the proposed modified algorithms was carried out on the basis of artificially created signals as well as on the basis of real ECG signals with late potentials superimposed on them. …”
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Production monitoring and machine tracking in underground mines based on a collision avoidance system: A case study by Artur Skoczylas, Natalia Duda-Mróz, Wioletta Koperska, Paweł Stefaniak, Paweł Śliwiński

“…This also required integration with enterprise resource planning (ERP) systems. …”
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Impact of occupancy behavior on building energy efficiency: What’s next in detection and monitoring technologies? by Wenjie Song, John Calautit

“…Privacy, data security, and user acceptance concerns must be addressed to ensure broad adoption; there is also a recognized need to improve the reliability of detection under varying environmental conditions. …”
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K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain by Vivek Kumar, Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni

“…The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks. …”
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Smart deep learning model for enhanced IoT intrusion detection by Faisal S. Alsubaei

“…The optimized SNN model also performed well on the NSL-KDD dataset with an accuracy of 99.0% and an AUC of 1.00. …”
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A Flexible Constrained ICA Approach for Multisubject fMRI Analysis by Hanlu Yang, Trung Vu, Ehsan Ahmed Dhrubo, Vince D. Calhoun, Tülay Adali

“…While the emerging access to large neuroimaging datasets provides unprecedented opportunities for exploring brain functions, they also pose significant computational complexity challenges due to the large amount of inherent variability across individuals and the complexity of brain activity patterns. …”
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Evaluation of Machine Learning Models for Sentiment Analysis in the South Sumatra Governor Election Using Data Balancing Techniques by Febriyanti Panjaitan, Win Ce, Hery Oktafiandi, Ghanim Kanugrahan, Yudi Ramdhani, Vito Hafizh Cahaya Putra

“…This study compares five machine learning algorithms (SVM, Naïve Bayes, KNN, Decision Tree, and Random Forest) and examines the impact of data balancing on their performance. …”
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Technologies, processes and tools between innovation and design quality by Andrea Tartaglia

“…The growing performance of IT tools for the project allows to delegate entire phases of the conceptual and decision-making process thanks to the diffusion of algorithmic models referable to the category of artificial intelligence capable of automating important segments, if not the entire process of project production. …”
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Postoperative Neurocognitive Disorders: the Legacy of Almost 400 Years of History (Review) by L. B. Berikashvili, K. K. Kadantseva, N. V. Ermokhina, M. Ya. Yadgarov, D. G. Makarevich, A.  V. Smirnova, V. V. Likhvantsev

“…Current algorithms and modalities used for PND diagnosis, are novel but yet not ultimate for IMC in the context of continuous progress in medical practice. …”
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Expanded Design by Roberto Bottazzi

“…Their ability to relate parts to parts not only resonates with the technical operations of ml models, but they also provide a conceptual space for designers to speculate different spatial organisation aided by algorithmic processes.  …”
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Young and Inverse Young Inequalities on Euclidean Jordan Algebra by Chien-Hao Huang

“…These conclusions align with the results established for the positive semidefinite cone, which is also a symmetric cone. It is of considerable help to the establishment of inequalities on symmetric cones and the analysis of their derivative algorithms.…”
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Low complexity MIMO-OFDM channel estimation based on space time block training sequence by DONG Liang, CAO Xiu-ying, BI Guang-guo

“…In order to improve the performance of MIMO-OFDM channel estimation,the connection between MMSE channel estimator and subspace projecting was analyzed in the context of space time block training sequence firstly.Then the LS channel estimator obtained simply by space time block training sequence was projected to the signal subspace to get an estimator that was efficient but of low complexity.To further improve the estimation performance,the multipath delay was estimated by FFT,and then a more accurate channel response signal space was obtained,so the performance of subspace projecting was also improved.The efficiency of the algorithms presented is proved by computer simulations.…”
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CALCULATIONS OF DOUBLE IMPURITY DIFFUSION IN INTEGRATED CIRCUIT PRODUCTION by V. A. Bondarev

“…In contrast to usual formal mathematical approaches, new functions are determined in the process of investigation of real physical models. Algorithms involve some important relations from thermodynamics of irreversible processes and also variational thermodynamic functionals that were previously obtained by the author for transfer processes. …”
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A Parseval-Goldstein type theorem on the widder potential transform and its applications by O. Yürekli, I. Sadek

“…Some illustrative examples are also given.…”
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Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

“…Communication technology has also impacted the agricultural sector, particularly with the increased use of connected devices. …”
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Bregman distances, totally convex functions, and a method for solving operator equations in Banach spaces by Dan Butnariu, Elena Resmerita

“…Also, some gaps in the current knowledge about those concepts are filled in. …”
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Data simulation in machine olfaction with the R package chemosensors. by Andrey Ziyatdinov, Alexandre Perera-Lluna

“…In this work, we describe the data simulation workflow which basically consists of scenario definition, virtual array parameterization and the generation of sensor array data. We also give examples of the processing of the simulated data as proof of concept for the parameterized sensor array data: the benchmarking of classification algorithms, the evaluation of linear- and non-linear regression algorithms, and the biologically inspired processing of sensor array data. …”
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BALANCED MODEL OF EXCHANGE OPTION PRICE by Vladimir A. Galanov

“…Simplification of the model has a practical aspect for trade robots, whose speed of work depends not only on algorithms fixed in them but also on models of pricing.…”
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Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review by Ansam Younis

“…Where the diversity of biometric traits was relied upon, such as fingerprint, handprint, ear, face, texture, some deformations characteristic of people, eye, footprints, DNA analysis and other important biometric traits. Also, many intelligent algorithms were used to identify these traits.…”
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Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial by Usha Menon, Aleksandra Gentry-Maharaj, Matthew Burnell, Andy Ryan, Jatinderpal K Kalsi, Naveena Singh, Anne Dawnay, Lesley Fallowfield, Alistair J McGuire, Stuart Campbell, Steven J Skates, Mahesh Parmar, Ian J Jacobs

“…We sent all women health questionnaires and also, with their permission, received information about them from the national cancer and death registries till mid-2020. …”
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