The Discriminants of Long and Short Duration Failures in Fulfillment Sortation Equipment: A Machine Learning Approach by Abed Mutemi, Fernando Bacao

“…Under a variety of hyperparameter configurations, we test and compare the outcomes of eight different machine learning classification algorithms, seven individual classifiers, and a stacked ensemble. …”
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A New Signal Processing Method for Time-of-Flight and Center Frequency Estimation by Olgirdas Tumšys

“…There are many and various methods used to determine ToF, such as threshold detection, peak-based methods, cross-correlation, zero-crossing tracking algorithms, etc. …”
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ADVANCEMENTS AND EMERGING PERSPECTIVES IN MICROSCOPIC IMAGING

“…These platforms have been enhanced by the Airyscan detection, STED, PALM, and STORM, to overcome the diffraction limit and enable nanoscale imaging1. …”
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Knowing Your Users by Heart: A Critical Examination of the Scientific Research on Emotions Conducted by Social Media Platforms by Camille Alloing, Elsa Fortant, Julien Pierre, Fabien Richert, Rémi Palisser

“…Finally, we examine the various methods employed to identify emotions, which primarily serve to feed these platforms’ machine learning algorithms with data labeled as emotional. Beyond their scientific contributions, we consider these studies as narratives targeted at the scientific community and investors, serving to legitimize and support the development of specific innovations. …”
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Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET) by Sergio Arce-García, Virginia Martin-Jiménez, Leticia Rodríguez-Fernández

“…We analysed nearly half a million messages posted between 31 December 2021 and 19 April 2023, using hate speech detection algorithms, text mining techniques, and qualitative analysis to identify patterns and themes in the discourse. …”
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Isolated fiber-optic transmission of IGBT UCE signals for precise HV switching analysis by Sylwester Bułka

“…The solution enables broadband observation of dynamic UCE(t) waveforms with a bandwidth from DC to at least 50 MHz, supporting precise analysis of switching events, detection of anomalies, and implementation of advanced timing correction algorithms. …”
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Overcoming Data Scarcity in Roadside Thermal Imagery: A New Dataset and Weakly Supervised Incremental Learning Framework by Arnd Pettirsch, Alvaro Garcia-Hernandez

“…Thermal imaging overcomes these issues, enabling reliable detection across all conditions without collecting personal data. …”
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Prototype of Mobile Meter Waveband Radar with Improved Functionality by I. S. Sadovskiy, Y. Y. Bobkov, I. Y. Malevich

“…The achievement of these properties is possible due to the application of digital antenna arrays with digital solid-state Tx/Rx modules, modular construction of all radar subsystems, digital beamforming technology, adoptive algorithms of space-time, and statistical processing of received signals. …”
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Advances in automated tongue diagnosis techniques by Marzia Hoque Tania, Khin Lwin, Mohammed Alamgir Hossain

“…After exploring the algorithms used in tongue diagnosis, the current trend and global requirements in health domain motivates us to propose a conceptual framework for the automated tongue diagnostic system on mobile enabled platform. …”
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Optimal Anisotropic Guided Filtering in retinal fundus imaging: A dual approach to enhancement and segmentation. by G Tirumala Vasu, Samreen Fiza, Subba Rao Polamuri, K Reddy Madhavi, Thejaswini R, Venkataramana Guntreddi

“…Quantitative and qualitative assessments prove that the OAGF-enhancement and segmentation methodology surpasses current algorithms with better values in Dice Coefficient (0.860, 0.854), Precision (0.845, 0.834), and F1 Score (0.827, 0.817) on both databases.…”
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Digital Watermarking Technology for AI-Generated Images: A Survey by Huixin Luo, Li Li, Juncheng Li

“…Digital watermarking has emerged as a promising approach to address these concerns by embedding imperceptible yet detectable signatures into generated images. This survey provides a comprehensive review of three core areas: (1) the evolution of image generation technologies, highlighting key milestones such as the transition from GANs to diffusion models; (2) traditional and state-of-the-art digital image watermarking algorithms, encompassing spatial domain, transform domain, and deep learning-based approaches; (3) watermarking methods specific to AIGC, including ownership authentication of AI model and diffusion model, and watermarking of AI-generated images. …”
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Autoinflammatory diseases: An immunologist’s view by A. Yu. Shcherbina

“…Moreover, it is important that the detection of a causative genetic defect frequently determines man-agement tactics for patients.For AIS treatment, there is a spectrum of agents modulating these or those inflammatory components. …”
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A Short-Term Risk Prediction Method Based on In-Vehicle Perception Data by Xinpeng Yao, Nengchao Lyu, Mengfei Liu

“…The proposed approach provides an effective solution for short-term risk prediction and offers algorithmic support for future ADAS applications.…”
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Towards a multi-modal Deep Learning Architecture for User Modeling by Ange Tato, Roger Nkambou

“…The resulting model was evaluated on a public multi-modal dataset, achieving better results than state-of-the-art algorithms for a similar task: opinion polarity detection. …”
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Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

“…Sentiment analysis, a specialized field within natural language processing, has evolved to meet these challenges by automating the detection and categorization of opinions and emotions in text. …”
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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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Hierarchical clustering methods in a task to find abnormal observations based on groups with broken symmetry by A. N. Kislyakov, S. V. Polyakov

“…The proposed method is based on the use of a cluster approach to detecting anomalous observations. Clustering is performed using hierarchical methods, which are a set of data ordering algorithms aimed at creating dendrograms consisting of groups of observed points. …”
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Analog Circuits Fault Diagnosis Using ISM Technique and a GA-SVM Classifier Approach by Sabah Kouachi, Nacerdine Bourouba, Kamel Mebarkia, Imad Laidani

“…This is built with GA and SVM algorithms combination targeting both data reduction and fault classification accuracy respectively. …”
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Poet-Composer Collaborations in Modern Egyptian Song: A Social Network Analysis Approach to Music History by Michael Frishkopf

“…Social network analysis (SNA) offers a powerful suite of tools enabling such an approach, including metrics for centrality and the detection of cohesive subgroups. Starting with a large dataset of songs broadcast on Egyptian radio, I extract a network of poet-composer collaborations, and apply SNA algorithms to reveal its social structure. …”
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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

“…The operational efficiency of many industrial processes is greatly affected by condition monitoring, which has become more and more important in the detection and forecast of electrical machine failures. …”
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