Maximizing oil recovery in sandstone reservoirs through optimized ASP injection using the super learner algorithm by Dike Fitriansyah Putra, Mohd Zaidi Jaafar, Ku Muhd Na’im Khalif, Apri Siswanto, Ichsan Lukman, Ahmad Kurniawan

“…The novelty of this work lies in its integrated use of ensemble learning to capture the complex and non-linear interactions between ionic chemistry and oil mobilization behavior, offering a field-ready AI framework for rapid and adaptive EOR design. …”
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Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance by Davor Puljić, Christos Karavas, Athanasios Mandroukas, Andreas Stafylidis

“…Countermovement jump (CMJ) performance analysis is vital in sports science for assessing lower-body strength and neuromuscular efficiency. This study evaluated the validity of the Enode Sensor and My Jump 3 App for measuring vertical jump heights, comparing them to those measured using the established Force Plate. …”
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Machine learning aided optoelectric characterization modelling and prediction of the IV parameters of perovskite solar cells with > 90% accuracy by Jeykishan Kumar, Bidisha Nath, Tulika Bhattacharjee, Praveen C. Ramamurthy

“…This study presents a novel empirical approach that capitalizes on simple machine learning-based linear regression (MLLR) to prognosticate the performance of perovskite solar cells (PSCs). …”
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A Hybrid Machine Learning and Optimization Model to Minimize the Total Cost of BRT Brake Components by Saeed Najafi-Zangeneh, Naser Shams Gharneh, Ali Arjomandi-Nezhad, Erfan Hassannayebi

“…The results confirm the efficiency of the hybrid optimization approach.…”
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Remote sensing and TerraClimate datasets for wheat yield prediction using machine learning by Alireza Araghi, Andre Daccache

“…Different ML models were developed and evaluated, including multiple linear regression (MLR), artificial neural network (ANN), random forest (RF), and a mean ensemble (ENS) of the outputs of all selected models. …”
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Tensor nested ring embedding used for domain adaptation of cross-source heterogeneous remote sensing feature tensors by Tong Gao, Min Liu, Wei Hu, Hao Chen

“…Therefore, the Tensor Nested Ring Embedding (TNRE) method is proposed to achieve domain-adapted feature extraction using cross-source heterogeneous remote sensing tensors. To efficiently represent heterogeneous data and eliminate the structure difference, unlike the existing Tucker-based methods consuming an exponential storage cost with tensor order, the tensor-nested ring (TNR)-learning theory is built via rigorous mathematical analysis to learn shared feature space under a linear storage cost. …”
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Sorption cable sensor with large sensing range and fields of its application by S. A. Kudzh, V. S. Kondratenko, A. Yu. Rogov, Yu. I. Sakunenko, E. A. Druzhinin

“…An alternative solution is proposed - a sorption cable sensor with a large sensitivity range, which, as a leak detector, can be placed anywhere in 3D space where leakage is most likely, and as a linear humidity sensor, it can replace point sensors in an extended control zone. …”
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Spectral Estimation of Chlorophyll for Non-Invasive Assessment in Apple Orchards by Andrea Szabó, János Tamás, Attila Nagy

“…The models were calibrated with 2/3 of the values in the database and validated with the remaining 1/3. The simple linear regression method generated the model for estimating chlorophyll. …”
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Shale volume estimation using machine learning methods from the southwestern fields of Iran by Parirokh Ebrahimi, Ali Ranjbar, Yousef Kazemzadeh, Ali Akbari

“…This study aims to compare the performance of several advanced ML models—namely, Artificial Neural Networks (ANNs), Bayesian Algorithm (BA), Least Squares Boosting (Lsboost), Linear Regression (LR), Random Forest (RF), and Support Vector Machine (SVM)—for shale volume estimation using well log data. …”
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Identifying optimal COVID-19 testing strategies for schools and businesses: Balancing testing frequency, individual test technology, and cost. by Gregory D Lyng, Natalie E Sheils, Caleb J Kennedy, Daniel O Griffin, Ethan M Berke

“…<h4>Findings</h4>Increasing testing frequency was associated with a non-linear positive effect on cases averted over 100 days. …”
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Design Methodology for Optimized Control of High-Power Quadratic Buck Converters Using Sliding Mode and Hybrid Controllers by Rafael Antonio Acosta-Rodriguez, Fredy Hernan Martinez-Sarmiento, German Ardul Munoz-Hernandez

“…The proposed methodology focuses on addressing the non-linearities and dynamic challenges inherent in such converters, offering a systematic approach to controller design that enhances both stability and efficiency. …”
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A Metal–Organic Hybrid Composed of Dual Quenching Cofactors as a Nanoquencher for the Fluorescent Determination of Protease Caspase-3 by Fengli Gao, Lin Liu, Cancan He, Yong Chang, Weiqiang Wang

“…Nanoquenchers with a single quenching cofactor exhibit limited fluorescence quenching efficiency. In this work, a metal–organic hybrid with dual quenching cofactors (Cu²⁺ and pyrroloquinoline quinone or PQQ) was prepared by metal-coordinated assembly and used as a nanoquencher for a protease assay with enhanced quenching efficiency. …”
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Ultra-rapid analysis of p53 gene for lung cancer diagnosis within 60 s by Yang Yu, Yanguang Ding, Yu Sun, Jing Yang, Liangjie Feng, Chang Liu, Menglong Shu, Fengchao Wang, Jin Chen

“…The detected concentration of the two target samples (codon 249 and codon 248 fragments) featured a well linearity determined by the SDIS method, and the theoretical detection limit could achieve 0.016 62 and 0.054 67 ng/μl, respectively. …”
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Development of a Dispersive Liquid–Liquid Microextraction Method for Quantification of Volatile Compounds in Wines Using Gas Chromatography–Mass Spectrometry by Dinesha Katugampala Appuhamilage, Rebecca E. Jelley, Emma Sherman, Lisa I. Pilkington, Farhana R. Pinu, Bruno Fedrizzi

“…<b>Background/Objectives</b>: This study reports the development of a straightforward, efficient, and cost-effective dispersive liquid–liquid microextraction (DLLME) method for the gas chromatography–mass spectrometry (GC-MS) analysis of volatile compounds present in wine. …”
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Dispatching Strategy of Park-Level Integrated Energy System Considering Carbon Trading Mechanism and Hydrogen Blending Natural Gas by Dongshun ZHANG, Hengli QUAN, Hua XIE, Zhihong XU, Yayun TAO, Huisheng WANG

“…The impact of hydrogen blending ratio on gas turbine efficiency and the thermoelectric ratio is considered. …”
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A methodical approach to design adiabatic waveguide couplers for heterogeneous integrated photonics by Jef Van Asch, Ahmed Kandeel, Junwen He, Jeroen Missinne, Peter Bienstman, Dries Van Thourhout, Geert Van Steenberge, Joris Van Campenhout

“…This method empowers users to incorporate the shortest taper(s) in their designs, while upholding optimal coupling efficiency. The technique assesses mode overlap between a minimum of two waveguides within the cross-section of any heterogeneous material stack, determining the necessary waveguide cross-sectional dimension to achieve optimal coupling efficiency. …”
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Topologic Reorganization of White Matter Connectivity Networks in Early-Blind Adolescents by Zhifeng Zhou, Long Qian, Jinping Xu, Yumin Lu, Fen Hou, Jingyi Zhou, Jinpei Luo, Gangqiang Hou, Wentao Jiang, Hengguo Li, Xia Liu

“…The network profiles were compared between the groups using a linear regression model, and the associations between clinical variables and network profiles were analyzed. …”
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Divisive Refinement of Metal Fiber at the PM0.1 Classification Stage for PM0.5–0.1 Sampling with Nanosampler by Yuta Kurotsuchi, Kazuhiko Sekiguchi, Yohei Hayakawa

“…The PM0.1 classification efficiency test was conducted, and a linear analysis of the total filling mass of SUS wool fiber along with classifying efficiency of 100 nm PM was performed. …”
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Optimized dual NURBS curve interpolation for high-accuracy five-axis CNC path planning by Yi Xu, Mohd Hairi Mohd Zaman, Feng Zhou

“…Abstract As the demand for high-precision and high-efficiency machining increases in modern industrial manufacturing, five-axis CNC systems have become the primary solution for complex surface processing. …”
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A nanoparticle loaded nasal sol-gel system of midazolam hydrochloride for the management of intermittent seizures by Venkatesh Srinivasan, Preethi Sudheer, Keserla Bhavani, Arumugam Muthu Kumar

“…Particle size and zeta potential were best fitted to the quadratic model, and an entrapment efficiency linear model was suggested. The ex vivo permeation studies of the optimized nanoparticle-incorporated gel formulation exhibited a fourfold increase in flux and permeability coefficient in comparison to the pure drug-incorporated gel. …”
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