A Multi-Objective Nutcracker Optimization Algorithm Based on Cubic Chaotic Map for Numerical Association Rule Mining by Qiwei Hu, Shengbo Hu, Mengxia Liu

“…To address these challenges, we propose a multi-objective nutcracker optimization algorithm based on a cubic chaotic map (C-MONOA), specifically designed for mining association rules from mixed data (continuous and discrete). Unlike existing models, C-MONOA leverages a chaotic map for population initialization, alongside Michigan rule encoding, to dynamically optimize feature intervals during the optimization process. …”
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In Vitro Preliminary Characterization of <i>Lactiplantibacillus plantarum</i> BG112 for Use as a Starter Culture for Industrial Dry-Fermented Meats by María Inés Palacio, María Julia Ruiz, María Fernanda Vega, Analía Inés Etcheverría

“…The objective of this study was to perform a preliminary in vitro characterization of <i>Lactiplantibacillus plantarum</i> BG112, assessing its safety and technological features for potential application as a culture starter for an industrial fermented dry meat product. …”
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Multiclass Incremental Learning for Fault Diagnosis in Induction Motors Using Fine-Tuning with a Memory of Exemplars and Nearest Centroid Classifier by Magdiel Jiménez-Guarneros, Jonas Grande-Barreto, Jose de Jesus Rangel-Magdaleno

“…Although these electromechanical systems tend to experiment with typical faults, a common event is that unexpected and unknown faults can be presented during operation. However, current models for automatic detection can learn new faults at the cost of forgetting concepts previously learned. …”
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Reduction of the risk of the corrosion of seawater mixed cement-based materials. by Olcay Gurabi Aydogan, Shaghayegh Sadeghzadeh Benam, Nilufer Ozyurt

“…These concretes emerged in the 1980s as a solution to the search for high durability through the implementation of particle packing models, to reduce the porosity and increase the densification level of the cement matrix, a feature that’s make them highly durable against various external potential deleterious agents. …”
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Visuoinertial and visual feedback in online steering control. by Jo-Yu Liu, James R H Cooke, Luc J P Selen, W Pieter Medendorp

“…Using computational modelling, we demonstrate that this enhanced performance is partially due to the shorter delay of the vestibular modality. …”
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Emerging Drivers of Adoption of Generative AI Technology in Education: A Review by Andrina Granić

“…Based on 27 peer-reviewed studies featuring validated research models, the review distils 11 predictors into a Three-Tier Framework. …”
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Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations by Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz

“…Additionally, deep learning models often struggle to generalize from simulated to in vivo data due to significant disparities between the two domains. …”
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REAL-TIME KERNEL FUNCTION SYNTHESIS FOR SOFTWAREDEFINED RADIO AND PHASE-FREQUENCY MEASURING DIGITAL SYSTEMS by I. E. Tarasov, D. S. Potekhin

“…Modelling and implementation are performed with Kintex-7 series PLD. …”
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A Noise-Robust Deep-Learning Framework for Weld-Defect Detection in Magnetic Flux Leakage Systems by Junlin Yang, Senxiang Lu

“…However, the acquired MFL signals are affected by field noise, such as electromagnetic interference and mechanical vibrations, which degrade the performance of the developed models. In addition, the noise type or intensity is unknown or changes dynamically during the test phase in contrast to the training phase. …”
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Comparing scissors and scalpels to a novel surgical instrument: a biomechanical sectioning study by Zach Spears, Molly Paras, Lauren Fitzsimmons, Logan De Lacy, Peter Wawrzyn, Sam Conway, Srihari Gopalan, Kyle Muckenhirn, John Puccinelli

“…Statistical analyses were performed using Welch’s t-tests and Fisher’s exact tests. …”
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TACTICS OF THE DENTIST DURING ORTHOPEDIC TREATMENT WITH DIFFERENT PROSTHESIS DESIGNS IN NON-STANDARD CLINICAL SITUATIONS by V.M. Dvornyk, H.M. Kuz, O.I. Teslenko, O.V. Dobrovolska, V.S. Kuz, K.Yu. Nedashkivskyi, K.V. Marchenko

“…In the course of our work, we analyzed orthopantomograms, computed tomography of jaws with existing bone formations and unfavorable clinical conditions for prosthetics, studied diagnostic models, and performed parallelemetry. In cases where patients have numerous bone formations, it is necessary to align the shape of the alveolar ridge with significant bone removal, which further accelerates the processes of atrophy, complicates or makes prosthetics impossible. …”
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A scoping review of artificial intelligence applications in clinical trial risk assessment by Douglas Teodoro, Nona Naderi, Anthony Yazdani, Boya Zhang, Alban Bornet

“…Recently, large language models (LLMs) have seen a surge in applications, featuring in 7 out of 33 studies in 2023. …”
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A Novel GRU-Augmented Time-Frequency Estimator for IGBT Remaining Useful Life Prediction by Yuankuang Li, Baohua Tan, Yingjie Zhang, Shuo Wang, Bolin Lian, Yuan Li, Zongming Tan

“…GATE utilizes an autoregressive time-series prediction framework trained via the Teacher Forcing strategy to recursively decode the electrical parameters indicative of the IGBT&#x2019;s aging state from rich time-frequency features. Experimental validations are performed using the square-wave power cycling dataset from the NASA Prognostics Data Repository. …”
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Recurrent neural network-based automated early detection of pandemic-prone diseases through symptoms analysis by Aditika Tungal, Kuldeep Singh, Prabhsimran Singh, Ateeq Ur Rehman, Sandeep Sood, Vishnu Kant, Anand Kumar, Seada Hussen, Habib Hamam

“…This work also takes into account several deep learning models viz., RNN, Bi-LSTM, GRU, LSTM along with other machine learning models such as Logistic Regression to identify the COVID-19 pandemic. …”
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Representation of a Scientific Supervisor in Internet-Memes by N. V. Stepanova, M. S. Sigaeva

“…The studied metaphorical  models reflect the most pressing problems of the academic community. …”
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Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms by Anjan Kumar Pradhan, Prasad Gandham, Kanniah Rajasekaran, Niranjan Baisakh

“…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …”
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Systematic Review: Malware Detection and Classification in Cybersecurity by Sebastian Berrios, Dante Leiva, Bastian Olivares, Héctor Allende-Cid, Pamela Hermosilla

“…The results highlight important advances, such as the improved performance of ensemble learning and deep learning models in detecting sophisticated threats. …”
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Enhancing Far-Field Speech Recognition with Mixer: A Novel Data Augmentation Approach by Tong Niu, Yaqi Chen, Dan Qu, Hengbo Hu

“…To address this gap, we introduce Mixer, a novel data augmentation technique designed to further enhance the performance of large-scale pre-trained models for FSR. …”
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A Novel Two-Stage Illumination Estimation Framework for Expression Recognition by Zheng Zhang, Guozhi Song, Jigang Wu

“…Finally the saltire-over-cross feature is selected to train a group of SVM classifiers and satisfactory performance is achieved when estimating a number of test sets including images generated from 64 3D face models kept for testing, CAS-PEAL face database, CMU PIE database, and a small test set created by ourselves. …”
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Abnormal cerebrospinal fluid levels of amyloid and tau are associated with cognitive decline over time in cognitively normal older adults: A monozygotic twin study by Jori Tomassen, Anouk den Braber, Sophie M. van der Landen, Elles Konijnenberg, Charlotte E. Teunissen, Lisa Vermunt, Eco J. C. de Geus, Dorret I. Boomsma, Philip Scheltens, Betty M. Tijms, Pieter Jelle Visser

“…We first tested associations of baseline CSF Aβ1‐42/1‐40 ratio, total tau (t‐tau), and 181‐phosphorylated‐tau (p‐tau) status with subsequent cognitive decline using linear mixed models, and then performed twin specific analyses. …”
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