eess papers | Gist.Science

Start-Up Transients in CO2 Injection: Effects of Control Mode in Coupled Wellbore–Reservoir Simulation

This study validates the coupled wellbore-reservoir simulator CO2LINK against T2WELL and demonstrates that the choice of injection control mode (constant pressure vs. constant mass rate) significantly influences early-time transient thermophysical behavior and phase distribution during CO2 start-up, highlighting the need to treat operational control logic as a critical design variable in CCS planning.

Jose Kevin K Pauyac Estrada, Mehdi Zeidouni, Vijay K. Shrivastava2026-08-20

⚡ electrical engineering

Heat and mass transfer analysis of thermally radiative ternary nanofluid flow inside a cavity: A numerical study

This numerical study employs the finite element method to analyze the effects of thermal radiation, activation energy, and nanoparticle volume fraction on the flow, heat, and mass transfer characteristics of a ternary nanofluid (Ethylene Glycol with TiO2, CuO, and Fe3O4) within a square cavity, revealing that radiation and activation energy significantly influence temperature and concentration distributions while the nanoparticle fraction enhances heat transfer rates.

Paluru Sreedevi, Patakota Sudarsana Reddy2026-08-20

⚡ electrical engineering

Data-Driven Framework of Player Spatial Ownership in Football

This paper introduces a fully data-driven framework for quantifying player spatial ownership in football by estimating individualized movement parameters from optical tracking data to calculate arrival times and assign control of field regions without relying on generalized movement assumptions.

Daniel Castro, Jan-Anders Mansson2026-08-20

⚡ electrical engineering

Evolutionary Learning Based Optimization for Solving Non-convex Optimal Power Flow Problems: A Modern Teaching–Learning-Based Optimization Algorithm

This paper introduces Evolutionary Learning Based Optimization (ELBO), an enhanced meta-heuristic algorithm that integrates a trigonometric mutation mechanism into the Teaching–Learning-Based Optimization framework to effectively solve complex, non-convex Optimal Power Flow problems with superior accuracy, stability, and convergence speed compared to existing methods.

Roqia Rateb, Maytham N Meqdad, Taybeh Salehnia2026-08-20

⚡ electrical engineering

A novel approach to laser-induced spark ignition of liquid fuel-air mixture

This study demonstrates that a temporally synchronized laser ignition strategy, which forms a plasma in air ahead of the incoming fuel spray to optimize interaction timing, significantly improves ignition reliability and energy efficiency by reducing droplet velocity and increasing residence time compared to direct plasma generation within the spray.

Sandeep Pandey, Abhishek Kumar, Manas Jain, Barnamay Samanta, Ratan Joarder2026-08-20

⚡ electrical engineering

Non-invasive Blood Glucose Detection System Using Combined Visible and Near-Infrared Spectral Data

This study presents a non-invasive blood glucose detection system using combined visible and near-infrared reflectance spectroscopy with Random Forest modeling, which achieved high clinical accuracy (MARD ≈ 4%, 94.1% in Clarke Error Grid Zone A) comparable to commercial continuous glucose monitors in human trials.

Tae Wuk Bae, Byoung Ik Kim, Kee Koo Kwon, Young Choon Kim2026-08-20

⚡ electrical engineering

Elastomer coating selection for AFP compaction rollers: A dual numerical-experimental approach.

This study employs a dual numerical-experimental approach to identify silicone rubber as the optimal elastomeric coating for Automated Fiber Placement compaction rollers, demonstrating its superior thermal stability, low resin adhesion, and structural viability through thermogravimetric analysis, wettability testing, and finite element validation.

Darío Bringas-Posadas, Eduardo Juárez-Cerón, Antonio Salomón Morales-Torres, Celso E. Cruz-González2026-08-20

⚡ electrical engineering

Hybrid VMD-2TCDNet Model for Accurate Significant Wave Height Forecasting Using Meteorological Predictors

This paper proposes a novel hybrid VMD-2TCDNet model that integrates Variational Mode Decomposition with a Two-dimensional Temporal Convolutional Dilated Network to significantly improve the accuracy of significant wave height forecasting across major Indian ports compared to state-of-the-art deep learning baselines.

Rituparna Saud, Mihirkumar Patel2026-08-20

⚡ electrical engineering

Sensor Modality and Placement Optimization for Wearable Fall Detection: A Systematic Evaluation of Accelerometer, Gyroscope, and Magnetometer Contributions Using the UMAFall Dataset

This study systematically evaluates the UMAFall dataset to demonstrate that adding gyroscopes significantly improves fall detection accuracy across most body positions and classifiers, whereas magnetometers generally degrade performance, ultimately identifying a waist-mounted accelerometer-gyroscope configuration with a support vector machine as the optimal setup for achieving high sensitivity and specificity.

Alex Kubiak, Farzad Haji Boloori, Zhuoyan2026-08-20

⚡ electrical engineering

Design and Implementation of Secure System for IoT-Based Animal Health Monitoring with Adaptive Security

This paper presents a secure, scalable IoT-based animal health monitoring system that integrates real-time sensor data and machine learning with role-based access control and post-quantum cryptography to defend against future quantum threats while maintaining efficient performance.

Muhammad Mohsin Javaid Shaikh, Muhammad Faraz Hyder, Muhammad Mubashir Khan, Ghufran Ahmed Khan, Rauf Ahmad Shams Malick (…)2026-08-20

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