HyperTaste Lab—A Notebook with a Machine Learning Pipeline for Chemical Sensor Arrays by Gianmarco Gabrieli, Michal Muszynski, Matteo Manica, Joris Cadow-Gossweiler, Patrick W. Ruch

“…We describe the modular data processing and machine learning framework that can be applied by sensor researchers to accommodate different signal modalities and perform various downstream tasks, such as the verification of a product’s originality, the estimation of ion concentrations, and the quantitative prediction of sensory descriptors.…”
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Extended Sequential Function Chart by Leslaw Gniewek, Michal Markiewicz

“…It also makes the use of signals from analog sensors challenging, thanks to which it is possible to observe the progress of the supervised tasks. Hence, this paper proposes an extension of SFC (eSFC), which introduces nodes that model quantitative resources and variables storing analog signals. …”
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Aero-engine fault diagnosis based on time series anomaly detection by WANG Yinru

“…The proposed model can effectively be applied to various anomaly detection and fault diagnosis tasks in aero-engine systems.…”
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Applying Genetic Algorithm for test pattern generation process optimization by V. I. Kuraedov

“…Comprehensive integrated circuit (IC) verification plays a crucial role in preventing costly errors and delays in product development cycle. …”
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Current Tax Risk in Romania and Possible Remedies by Attila Szora TAMAȘ, Ramona-Ionela HARAGUȘ, Gabriel Szora TAMAȘ, Alin IRIMIA

“…The tax procedure code (FCP) in Article 138 regulates the verification of the personal tax situation by the central tax authority. …”
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Occlusion‐invariant face recognition using simultaneous segmentation by Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers, Richard Arendsen

“…AR) demonstrate that SOIDN outperforms state of the art methods for face verification and identification.…”
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The Entropy Analysis Method for Assessing the Efficiency of Workload Distribution Among Medical Institution Personnel by Oksana Mulesa, Ivanna Dronyuk

“…This research is based on a model for evaluating employee workload in conditional time units—credits—taking into account time-and-motion studies and the volume of medical services provided or tasks performed over a given period. The model and method developed by the authors enable the consideration of potential losses of working time and coefficients that determine the percentage of effective working time. …”
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Review of Autonomous Space Robotic Manipulators for On-Orbit Servicing and Active Debris Removal by Nasim Fallahiarezoodar, Zheng H. Zhu

“…The increasing demand for on-orbit servicing (OOS) tasks, such as satellite repair, space debris removal, refueling, and upgrades, has driven the need for advanced robotic systems capable of autonomous and precise operations in space. …”
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Leveraging Multi-Level Semantic Understanding in a Unified NER Model by Yuqian Zhao, Jiuchun Ren

“…Although Seq2Seq-based models have recently been proposed to handle these three NER tasks in a unified way, they usually focus too much on independent verification of entity spans while ignoring the label dependencies and detailed word-word relations in the modeling process. …”
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Voice Adversarial Sample Generation Method for Ultrasonicization of Motion Noise by Jun Wang, Juan Liu

“…When juxtaposed with leading-edge adversarial sample generation techniques, our approach stands out, delivering unrivaled performance in tasks as varied as Voice Emotion Classification and Speaker Identification. …”
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Comparing a Thai Words Segmentation Methods in the LST20 Dataset by Krittapol Damrongkamoltip, Khatcha Ruenlek, Wasit Limprasert, Prachya Boonkwan

“…Although data is easily available, there are still challenges in natural language processing tasks, especially, the division of Thai words that lacks clarity of word boundaries, etc. …”
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SOCIALIZATION AND SELF-REALIZATION OF PERSONALITY IN CONSTRUCTS OF SCIENTIFIC SEARCH AND SCIENTIFIC-PEDAGOGICAL RESEARCH by Lyubov Sudyina, Nikolay Kozyrev, Olga Kozyreva

“…The article identifies opportunities for improving the quality of solving the tasks of personal development in the system of continuous education, identifies features of socialization and self-realization of the person through a personified, level inclusion of the personality in the system of technologies and products of scientific search and scientific research. …”
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Hybrid FFT-ARMA-Burg Modeling and LSTM-Enhanced BBO Optimization for Fault Diagnosis in Induction Motors by Khadidja Boudraa, Mohammed Assam Ouali, Mohamed Ladjal

“…The detection of a broken rotor bar(RBB) is one of the most challenging tasks in condition monitoring due to the complexity of fault features in motor current signals. …”
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Teachers competencies in evaluating digital sources and tackling disinformation: implications for media literacy education by Nicola Bruno, Annamaria De Santis, Stefano Moriggi

“…The results show that teachers are moderately good at finding assertive signs of reliability, but they have trouble with more difficult “inferred context” tasks, especially when it comes to judging visual content. …”
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Implementation of transformational leadership in increasing the organizational commitment of civil servants by Hartono Hartono, Salju Salju, Muh Yusuf Qamaruddin

“…Leaders have an important role in an organization. Various tasks are the responsibility of the leader in an organization, including increasing the organizational commitment of civil servants at the Andi Jemma Airport Operator Unit Office. …”
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Forecasting the main dimensions of single-stage cylindrical reducers at early design stages by Petrakova E.A., Sumatokhin V.A.

“…The software package allows to carry out a number of optimization and research tasks in a short time, excluding calculation errors and data transfer to the 3D model when rebuilding its geometry for a variety of sizes of gearboxes, as well as to predict and visualize the size of the product as a whole and all its parts individually almost immediately after receiving the technical requirement. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…The software tools included convolutional neural networks for image analysis, recurrent neural networks for time sequence analysis, and deep neural networks for complex classification, modeling, and verification tasks. Key aspects of the construction and infrastructure of the city of Ukek were identified through this analysis. …”
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Mapping the Green Urban: A Comprehensive Review of Materials and Learning Methods for Green Infrastructure Mapping by Dino Dobrinić, Mario Miler, Damir Medak

“…In addition, this article presents a novel methodology for automated verification methods, demonstrating their potential effectiveness and highlighting areas for improvement.…”
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Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data by Ladislav Zjavka

“…The main motivation is a consequent day-to-day verification of algorithmically scheduled power consumption tasks in the proposed two-stage optimisation according to the system resources and user needs. …”
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From Prompt to Polished: Exploring Student–Chatbot Interactions for Academic Writing Assistance by Maya Usher, Meital Amzalag

“…These findings highlight the need for tailored chatbot interventions that encourage students to seek AI assistance for a broader and more in-depth range of writing tasks.…”
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