eess papers | Gist.Science

Underwater Photogrammetric Documentation as a Testbed for 3DF Zephyr Software: An Evaluation Study in the Search for an Alternative to Agisoft Metashape

Driven by the need to find alternatives to Agisoft Metashape due to geopolitical restrictions, this study evaluates 3DF Zephyr's capability in underwater photogrammetry and confirms its ability to produce high-quality 3D models comparable to industry standards, demonstrating that reconstruction quality depends primarily on input data rather than software limitations.

Wojciech Gajtkowski2026-07-17

⚡ electrical engineering

Experimental Realization of a Zero-Entropy Wireless Power Grid via Spatiotemporal Resonance and Reversible Charge Recovery

This paper claims to demonstrate a zero-entropy wireless power grid achieving over 92% efficiency through evanescent-wave coupling and reversible charge recovery, though the abstract contains scientifically impossible assertions such as "antigravity AI," "zero mineral reliance," and "zero-entropy" energy transmission that contradict established laws of thermodynamics and physics.

Min Ho Jung2026-07-17

⚡ electrical engineering

A random number generator using biological populations as entropy sources

This paper proposes and validates a true random number generator that utilizes the unpredictable movements of biological organisms as an entropy source, demonstrating that the resulting sequences pass rigorous statistical tests and offer a robust alternative to conventional electronic noise for cryptographic applications.

Hiroshi Yoshida2026-07-17

⚡ electrical engineering

Physics-Informed Federated Learning for Decentralized Pharmaceutical Crystallization: Achieving Personalized Predictive Accuracy with Minimal Data

This study introduces a Physics-Informed Federated Learning (F-PINN) framework that integrates Population Balance Equations into a decentralized training process to achieve highly accurate, personalized predictions of pharmaceutical crystallization dynamics across multiple sites while preserving data privacy and ensuring robustness against data scarcity and noise.

Sai Vinay Thattukolla2026-07-17

⚡ electrical engineering

Physics-Driven Hierarchical Cascade Surrogate for Compositional Simulation of Geological CO2 and H2S Storage

This study introduces the Hierarchical Cascade Surrogate for CO2 Storage (HCS-CO2S), a physics-driven machine learning model that accurately predicts the full compositional state of reservoir fluids over centennial timescales by decomposing the prediction task into five causally ordered levels to suppress error accumulation in blind forecasts.

Stepan Zainulin, Anna Storozheva2026-07-16✓ Author reviewed ⓘ

⚡ electrical engineering

An Embedded Model-Data Interactive Drive Method for Power System Dispatch

This paper proposes an embedded model-data interactive framework for power system dispatch that utilizes a U-Net GAN to map nodal sequences into image tensors and serve as a fast, physics-informed power flow surrogate, thereby overcoming the computational bottlenecks of traditional methods while ensuring operational reliability and safety.

Peizhe Yi, Zhen Li, Jianye Zou2026-07-16

⚡ electrical engineering

Real-Time FPGA-in-the-Loop Validation of a Sequential Eliminative Lévy Flight MPPT Method for Global Maximum Power Point Tracking under Partial Shading

This paper presents and validates an FPGA-in-the-Loop implementation of a Sequential Eliminative Lévy Flight-based MPPT controller that utilizes adaptive mode-switching and hardware-optimized algorithms to achieve high-efficiency global maximum power point tracking with rapid convergence under partial shading conditions.

Khadidja Bentata, Adel Ballouti, Salah AMROUNE, Eustache Hakizimana2026-07-16

⚡ electrical engineering

The Digital Geophysical Eye: A Magnetic Signature Database and Physics-Guided AI Framework for Archaeological Magnetic Interpretation

This study introduces the "Digital Geophysical Eye," a proof-of-concept framework that combines a physics-based Magnetic Signature Database with a CNN model to achieve 90.7% accuracy in classifying archaeological magnetic anomalies, thereby establishing a reproducible foundation for future Explainable AI applications in geophysical archaeology.

Abir Jrad, Yoann Quesnel, Pierre Rochette, Chokri Jallouli, Pierre Ethienne Mathé2026-07-16

⚡ electrical engineering

Cross-platform integration of robotic intraoperative ultrasound using system-agnostic drop-in probes: technical feasibility and workflow standardization

This study demonstrates that a standardized, platform-agnostic robotic intraoperative ultrasound workflow using drop-in probes is technically feasible and reproducible across four distinct robotic surgical systems, thereby supporting cross-platform skill transfer and collaborative tele-guided surgery.

Chiara Innocenzi, Federico Espínola, Daichi Kitaguchi, Matteo Pavone, Antonello Forgione, Jacques Marescau, Mariano Edua (…)2026-07-16

⚡ electrical engineering

Fixed-Time Integral Sliding Mode Control Integrating RBF Network and Super-Twisting ESO for SPMSM

This paper proposes a composite fixed-time integral sliding mode control strategy for surface-mounted permanent magnet synchronous motors that integrates a radial basis function neural network and a super-twisting extended state observer to achieve robust speed regulation with guaranteed fixed-time convergence, effectively suppressing chattering and compensating for both internal uncertainties and external disturbances.

Rongfei Pan, Aimin An, Bo Yu, Chenchen Wang, Qiaoling Yang2026-07-16

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