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🔋 Two-Stage Least Squares for Equivalent-Circuit Model Parameter Estimation of Li-ion Batteries Using Pulse-Relaxation Excitation 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #LithiumBattery #BatteryManagment #LinearEstimation #Technology techrxiv.org/doi/full/10.36…
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Two-Stage Least Squares for Equivalent-Circuit Model Parameter Estimation of Li-ion Batteries Using...
This paper proposes a two-stage linear least squares (LS) approach for estimating the parameters of a battery equivalent circuit model (ECM) using a simple pulse-relaxation excitation. Unlike...
🛰️ Nonlinear SUCA Waveforms and QR-Domain Maximum-Likelihood Detection for Passive RaDICAL Monostatic Radar 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #Radar #Engineering #Tech #Arrays #Preprint techrxiv.org/doi/full/10.36…
techrxiv.org
Nonlinear SUCA Waveforms and QR-Domain Maximum-Likelihood Detection for Passive RaDICAL Monostatic...
This paper develops a complete maximum-likelihood (ML) detection framework for RaDICAL (Ranging, Detection, Imaging, Communications, and Approach and Landing) monostatic passive radar using nonlinear...
🛰️ Kakeya-Inspired Rational Spherical Arrays: Achieving the Lower Bound for Full-Sphere Coverage and Capacity Optimization 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #6G #BeamForming #Satellite #Engineering #Tech techrxiv.org/doi/full/10.36…
techrxiv.org
Kakeya-Inspired Rational Spherical Arrays: Achieving the Lower Bound for Full-Sphere Coverage and...
This paper introduces a Kakeya-inspired framework for optimizing spherical rational antenna arrays, establishing a Kakeya lower bound (KLB) that defines the theoretical minimum number of elements...
🤖 Safe Learning for Contact-Rich Robot Tasks: A Survey From Classical Learning-Based Methods to Safe Foundation Models 🔗 Read the full #OpenAccess preprint on #TechRxiv! 👇 #IEEE #Robots #RobotManipulation #Engineering #SafeLearning #Robotics techrxiv.org/doi/full/10.36…
techrxiv.org
Safe Learning for Contact-Rich Robot Tasks: A Survey From Classical Learning-Based Methods to Safe...
Contact-rich tasks pose significant challenges for robotic systems due to inherent uncertainty, complex dynamics, and the high risk of damage during interaction. Recent advances in learningbased...
✨💼 TrainX: The Interviewer Using Generative #AI 🔗 Read the full #OpenAccess preprint on #TechRxiv! 👇 #IEEE #AIChatBot #CareerPrep #InterviewPrep #Gemini #GenerativeAI techrxiv.org/doi/full/10.36…
techrxiv.org
TrainX: The Interviewer Using Generative AI
This paper introduces TrainX, a mock interview platform built using modern web technologies. It is prepared using the IEEEtran L A T E X class to provide a professional format for submission. TrainX...
💻 Moving Covariance Filter for Signals and Data Processing Applications 🔗 Read the full #OpenAccess preprint on #TechRxiv! 👇 #IEEE #Variance #Covariance #Engineering #Energy #OpenScience techrxiv.org/doi/full/10.36…
techrxiv.org
Moving Covariance Filter for Signals and Data Processing Applications
In this work, the moving recursive covariance matrix is formally defined and thoroughly investigated, particularly from signal and data processing perspectives, presenting it as a filter. The...
✨ From Perception to Reasoning and Interaction: A Comprehensive Survey of Multimodal Intelligence in Large Language Models 🔗 Read the full #OpenAccess preprint on #TechRxiv! 👇 #IEEE #Preprints #LLMs #Multimodal #Computing #Engineering techrxiv.org/doi/full/10.36…
techrxiv.org
From Perception to Reasoning and Interaction: A Comprehensive Survey of Multimodal Intelligence in...
The rapid proliferation of Large Language Models (LLMs) has fundamentally reshaped the landscape of artificial intelligence, demonstrating remarkable capabilities in understanding, generating, and...
🔥 Experimental investigation of a heat pump coupled to a thermal storage for charging a Carnot battery 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #CarnotBattery #Propane #Experiments #PhDLife #Engineering techrxiv.org/doi/full/10.36…
techrxiv.org
Experimental investigation of a heat pump coupled to a thermal storage for charging a Carnot battery
Carnot batteries (CBs) are commonly charged using heat pumps (HPs), yet experimental data for model validation remain limited. We designed and commissioned a flexible, highly instrumented, laborato...
🧮 ULF²: A Unified Algebraic Framework for Adaptive, Multichannel, and Cross-Domain Elemental-Relational (Dis)similarity Modeling in Artificial Intelligence 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #Engineering #PhDLife #AI #Algebra #Preprint techrxiv.org/doi/full/10.36…
techrxiv.org
ULF²: A Unified Algebraic Framework for Adaptive, Multichannel, and Cross-Domain Elemental-Relati...
Similarity and dissimilarity measures are fundamental to machine learning and pattern recognition, yet existing approaches remain domain-specific and theoretically fragmented. This report introduces...
🚗 Deep Reinforcement Learning with Automated Language-to-Cost Translation for Autonomous Vehicle Safe Navigation 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #AutonomousVehicles #LLMs #ReinforcementLearning #Engineering techrxiv.org/doi/full/10.36…
techrxiv.org
Deep Reinforcement Learning with Automated Language-to-Cost Translation for Autonomous Vehicle Safe...
Safe reinforcement learning (RL) provides a compelling solution for applying RL in high-risk or resourceconstrained real-world domains such as healthcare, autonomous driving, and robotic manipulati...
#Agentic #AI in #Healthcare: A Comprehensive Survey of Foundations, Taxonomy, and Applications @TechRxiv_org #HealthAI #DigitalHealth #TechHartford techrxiv.org/users/994823/a…
techrxiv.org
Agentic AI in Healthcare: A Comprehensive Survey of Foundations, Taxonomy, and Applications
Agentic AI marks a paradigm shift in healthcare, moving beyond predictive models toward autonomous, goaldirected systems capable of perceiving, reasoning, acting, and adapting in dynamic clinical...
Our CMOS Measurement-Collapse Primitive for Ephemeral Secrets in Post Quantum Cryptography paper is now on @TechRxiv_org doi.org/10.36227/techr…
📈📉 OPTIMAL EXECUTION UNDER SELF-EXCITING ORDER FLOW: A STOCHASTIC CONTROL FRAMEWORK 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #Finance #Mathematics #MarketImpact #StochasticControl #Technology techrxiv.org/doi/full/10.36…
techrxiv.org
OPTIMAL EXECUTION UNDER SELF-EXCITING ORDER FLOW: A STOCHASTIC CONTROL FRAMEWORK
This paper develops a comprehensive stochastic control framework for optimal execution that systematically incorporates self-exciting order flow dynamics through Hawkes processes. While classical...
🌐 Post-Quantum Secure MQTT for IoT: Comprehensive Performance Evaluation Under Network Stress 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #Cryptography #IOT #Security #Engineering #MQTT techrxiv.org/doi/full/10.36…
techrxiv.org
Post-Quantum Secure MQTT for IoT: Comprehensive Performance Evaluation Under Network Stress
The emergence of quantum computing poses an existential threat to current Internet of Things security infrastructure, which relies predominantly on RSA and elliptic curve cryptography for confident...
✨ AI-Native Modernization: Agentic Knowledge Extraction and Code Re-Engineering to Accelerate Developer-Led Transformation 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #AI #SoftwareEngineering #CloudComputing #Reengineering #Preprints techrxiv.org/doi/full/10.36…
techrxiv.org
AI-Native Modernization: Agentic Knowledge Extraction and Code Re-Engineering to Accelerate...
\cite{consulting}Many enterprises still rely on decades-old COBOL applications, batch jobs, and stored procedures that are difficult to understand and evolve. Documentation is incomplete, developer...
👀 Lightweight Feature Distillation for Efficient and Privacy-Preserving Face Recognition 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #FacialRecognition #NeuralNetworks #RepresentationLearning #Tech techrxiv.org/users/1002941/…
techrxiv.org
Lightweight Feature Distillation for Efficient and Privacy-Preserving Face Recognition
This letter presents a lightweight feature-distillation framework for efficient and privacy-preserving face recognition. A pretrained FaceNet model is used as a fixed teacher to guide a compact...
✨ Machine Learning-Driven Digital Twin Construction for Additive Manufacturing: A Review 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #MachineLearning #Manufacturing #Engineering #OpenScience techrxiv.org/doi/full/10.36…
techrxiv.org
Machine Learning-Driven Digital Twin Construction for Additive Manufacturing: A Review
Additive Manufacturing (AM) processes generate large amounts of high-value data, creating opportunities for Machine Learning (ML) to drive Digital Twin (DT) solutions that optimize various decision...
🛰️ RSDD: Resilient Statistical Drift Detection for vSDN Hypervisors 🔗 Full #OpenAccess preprint on #TechRxiv!👇 #IEEE #6G #VSDN #Technology #Engineering #PhDLife #BandwidthForecasting techrxiv.org/doi/full/10.36…
techrxiv.org
RSDD: Resilient Statistical Drift Detection for vSDN Hypervisors
Sixth-Generation (6G) virtualized Software-Defined Networks (vSDNs) require hypervisors that remain stable under non-stationary and bursty traffic. Existing systems, including DLVisor, still rely on...
🖥️ Fidelity-Aware Dynamic Network Reduction of Distribution Grids with Heterogeneous IBRs 🔗 Full #OpenAccess preprint on #TechRxiv!⬇️ #IEEE #ModelFidelity #DFO #GreyBoxModeling #Technology #Python techrxiv.org/doi/full/10.36…
techrxiv.org
Fidelity-Aware Dynamic Network Reduction of Distribution Grids with Heterogeneous IBRs
Traditional network-reduction techniques struggle to accurately represent Active Distribution Networks (ADNs), especially when capturing the dynamics of inverter-based resources (IBRs) with heterog...
🚗 Exploring Vehicle-in-the-Loop Testing Challenges in Autonomous Vehicles: A Categorization Review 🔗 Full #OpenAccess preprint on #TechRxiv!⬇️ #IEEE #AutonomousVehicles #Transportation #Technology #PhDLife techrxiv.org/doi/full/10.36…
techrxiv.org
Exploring Vehicle-in-the-Loop Testing Challenges in Autonomous Vehicles: A Categorization Review
Vehicle-in-the-Loop (VIL) is a testing method used for validating autonomous vehicle (AV) functions, bridging the gap between pure simulation and real-world experimentation. While this method of...
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