eess papers | Gist.Science

Forward and inverse prediction of micro-channel topographies in abrasive slurry jet machining: a machine learning framework and a graphical web-based tool

This paper presents a machine learning framework and a free web-based tool that successfully addresses both the forward prediction of micro-channel topographies and the inverse determination of optimal operating conditions in abrasive slurry jet machining, thereby overcoming longstanding challenges in process control and predictability for hard and brittle materials.

Majid Moghaddam, Fatemeh Safaei, Marcello Papini2026-07-03

⚡ electrical engineering

Thermographic Digital Twin for Proactive Fire-Risk Prediction in Legacy Residential Electrical Installations: A Systematic Review and Transferability Framework for Ageing Housing and Buildings in Peru

This paper presents a systematic review and proposes a four-layer thermographic digital twin architecture for predicting electrical fire risks in legacy UK residential installations, accompanied by a specific framework to adapt this technology to the regulatory and infrastructural conditions of Peru.

PAUL RICARDO PRUDENCIO GALVEZ2026-07-03

⚡ electrical engineering

Pilot-Identifiable Single-Parameter Compensation for Power-Amplifier Nonlinearity in IEEE 802.11ax Receivers

This paper proposes a statistically robust, single-parameter receiver for IEEE 802.11ax that reliably estimates power-amplifier saturation from limited pilot subcarriers to compensate nonlinearity, achieving significant spectral-efficiency gains across various modulation schemes and channel models while safely avoiding unnecessary correction in linear hardware conditions.

Pasupuleti Ramakrishna2026-07-03

⚡ electrical engineering

Design of Cooperative Converter with Optimized Deep Learning based Control Mechanism of Battery Cell Balancing for Automotive Applications

This paper proposes a high-power-density, modular Co-operative Dual Active Bridge (CO-DAB) converter controlled by a Deep Balancing Network (DBNet) that integrates voltage step-up and active cell balancing for automotive applications, achieving 96.4% peak efficiency while processing only a fraction of the total output power.

Hemalatha.M, Sampoornam K P2026-07-03

⚡ electrical engineering

Ampere: A Digital Twin-Enabled Cyber-Physical IoT Node for Environmental Health Monitoring in IoMT Systems

This paper introduces Ampere, a secure, edge-intelligent IoT node within the Internet of Environmental Medical Things (IoEMT) framework that utilizes a four-layer architecture and a bidirectional Digital Twin to autonomously monitor, analyze, and respond to environmental health risks in healthcare settings through real-time sensor fusion, adaptive sterilization, and automated hygiene triage.

Sridatta Gorthi2026-07-03

⚡ electrical engineering

Impact of Inhomogeneous Ice Accretion on Conductor Aerodynamic Stability

This study utilizes numerical simulations of crescent-shaped ice accretion to demonstrate that increased ice nonuniformity exacerbates conductor aerodynamic instability by widening the range of wind attack angles susceptible to galloping, thereby providing a theoretical basis for mitigating ice-related power grid disasters.

Yang Feng, Zhengkang Li, Qin Xiao, Ji Kai, Fu Yucheng2026-07-03

⚡ electrical engineering

Smart Water Flooding for Enhanced Oil Recovery in Heterogeneous Carbonate Reservoirs: Experimental Evaluation of Engineered Brine Performance Under HPHT Conditions

This experimental study demonstrates that engineered brine flooding significantly enhances oil recovery in heterogeneous carbonate reservoirs under HPHT conditions by altering wettability and reducing residual oil saturation through the strategic manipulation of Ca²⁺, Mg²⁺, and SO₄²⁻ ions, yielding an incremental recovery of 20–30% OOIP.

Ahmed Al Alwan, Ehsan Khamehchi2026-07-03

⚡ electrical engineering

Tool Wear Monitoring via the Fusion of Cutting Force Coefficients and Fractal Features of Cutting Force Signal

This paper proposes a novel online milling tool wear monitoring method that fuses cutting force coefficients and fractal features within a Bayesian inference framework, demonstrating superior accuracy compared to standalone approaches.

Chenbo Li, Xuyu Zhang, Feng Xia, Zixu Chen, Tongshun Liu2026-07-03

⚡ electrical engineering

Design and Hardware Performance of a LoRa-Based Vehicle Tracking System with Local Data Storage Infrastructure

This paper presents the design and field evaluation of a standalone, LoRa-based vehicle tracking system using custom Heltec ESP32 nodes and local data storage, demonstrating robust long-range performance in suburban environments and viable, though more challenged, operation in dense urban areas through optimized hardware integration and transmission scheduling.

Alejandro H. Espera, Jenith L. Banluta, Princess Camille L. Abar, Gabrielle John N. Undangan, April M. Salazar2026-07-03

⚡ electrical engineering

Simultaneous variation of tooth pitch and spindle speed in milling with unequal-pitch and -helix cutters

This study proposes a novel numerical differentiation-based first-order Hermite full-discretization method (N-1stHDM) to efficiently and accurately predict the stability of milling processes involving simultaneous variations in tooth pitch and spindle speed, demonstrating superior computational speed and acceptable accuracy compared to existing algorithms.

ZiHao Guo, Wen-An Yang, Wei Zhou, YunXiang Zhou2026-07-03

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