Including the Temporal Dimension in the SECS Technique by S. Marsal, J. M. Torta, F. J. Pavón‐Carrasco, S. P. Blake, M. Piersanti

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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

“…Based on the analysis, it can be discovered that the HCRL SA dataset, when used with the proposed hybrid model, with an impressive accuracy rate, and precision of 99.94% and 99.86% respectively. …”
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Augmented reality exposure treatments in anxiety and related disorders: A systematic review by Jorge Grimaldos, Sara Fernández-Buendía, Juana Bretón-López, Clara Miguel, Pim Cuijpers, Soledad Quero

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Application of Artificial Intelligence Models to Predict the Tensile Strength of Glass Fiber-Modified Cemented Backfill Materials during the Mine Backfill Process by Lei Zhu, Wenzhe Gu, Zhicheng Liu, Fengqi Qiu

“…The correlation coefficient (R), mean absolute error (MAE), and root mean square error (RMSE) are selected to assess the estimated performance of the hybrid intelligent model. The results indicate that the four hybrid artificial intelligence models show a latent capacity for forecasting the tensile strength of GFCBM, and according to the order from high to low, the prediction ability of the four prediction models is as follows: ABC-SVM, GA-SVM, SSA-SVM, and DE-SVM, and the corresponding R values are 0.9555, 0.9539, 0.9413, and 0.9359, respectively. …”
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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…This paper provides a comprehensive review and analysis of the primary approaches employed for battery health monitoring and RUL estimation under the categories of model-based, data-driven, and hybrid methods. Generally speaking, model-based methods use physical or electrochemical models to simulate battery behaviour, which offers valuable insights into the principles that govern battery degradation. …”
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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

“…PD_EBM leverages machine learning (ML) algorithms and a hybrid feature selection approach to enhance diagnostic accuracy. …”
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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

“…The heatmap generated through the proposed hybrid explanation method offers detailed visual explanations to enhance transparency and trustworthiness in the medical domain.…”
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Microevolutionary differentiation of cereal tetraploid species by formation of recombinant genomes by N. I. Dubovets, Ye. A. Sycheva

“…Subsequent adaptive radiation of hybrid material in an ecologically separated environment occurs by selection of forms with different variants of the recombinant genome in various ecological niches.…”
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Decoding the general role of tRNA queuosine modification in eukaryotes by Jorge Díaz-Rullo, Luis González-Moreno, Araceli Del Arco, José Eduardo González-Pastor

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Empowering the Sports Scientist with Artificial Intelligence in Training, Performance, and Health Management by Nuno Mateus, Eduardo Abade, Diogo Coutinho, Miguel-Ángel Gómez, Carlos Lago Peñas, Jaime Sampaio

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On small Dirac neutrino masses in string theory by Gonzalo F. Casas, Luis E. Ibáñez, Fernando Marchesano

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Predictive model of positive attitudes in Spanish health care students towards older people: assessment and associated factors by Jesús González-Moreno, Ana Isabel Agustí, Javier Guillem-Saiz, María Antonia Parra-Rizo, María Antonia Parra-Rizo, María Cantero-García

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Pharmacodynamics of TRPV1 Agonists in a Bioassay Using Human PC-3 Cells by Daniel Alvarez-Berdugo, Marcel Jiménez, Pere Clavé, Laia Rofes

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Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement by Ehsanolah Assareh, Reza Poultangari

“…For this reason, a new hybrid model containing a Radial Basis Function Neural Network (RBFNN) joining with Grey Wolf Optimization (GWO) and Ant Colony Optimization (ACO) were used in a framework. …”
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Binder-Free Hexagonal Boron Nitride Nanosheets (BNNSs) as Protective Coatings for Copper, Steel, and Wood: A Review by Muhammad Faheem Maqsood, Syed Muhammad Zain Mehdi, Arslan Ashraf, Umair Azhar, Naseem Abbas, Muhammad Asim Raza, Mohammed Amer

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Immunohistochemical subtypes and their relationship with the clinicopathological and histological aspects of breast cancer by Lourdes González-Longoria Boada, Secundino González Pardo, Francisco López Muñoz

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Assessment of breeding lines of rice (Oryza sativa L.) carrying the Pi-40 gene for resistance to rice blast strains from Krasnodar region by I. I. Suprun, V. S. Kovalyev, E. S. Kharchenko, E. G. Savenko

“…In the course of the study, the level of resistance to blast pathogen was estimated for hybrid lines BC1F3 derived from local rice variety Khazar and containing the Pi-40 gene. …”
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Nanocomposites of various shapes in trihybrid nanofluid flow past a Riga plate with electroosmotic effects by Muhammad Idrees Afridi, Saima Riasat, Saira Iqbal, S. Bilal, A.A. Alderremy, Emad E. Mahmoud

“…Advanced nanocomposites submerged into base fluid to compose ternary hybrid nanofluid have immense thermophysical features for the optimization of thermal processes in renewable energy processes. …”
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An attention based residual U-Net with swin transformer for brain MRI segmentation by Tazkia Mim Angona, M. Rubaiyat Hossain Mondal

“…In our paper, we present a hybrid model, 3-Dimension (3D) ResAttU-Net-Swin, which combines residual U-Net, attention mechanism and swin transformer. …”
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