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Interdisciplinary & Society
Economics, finance, engineering and the social sciences share preprints on arXiv, and papers in chemistry and the earth sciences reach ReadSearch through OpenAlex. This page shows the newest papers ReadSearch has read in them.
The newest 1,000 papers, from 8 October 2026 to 5 November 2026: 997 arXiv preprints and 3 OpenAlex records.
Newest papers, page 24
A 2-DOF MultiBody Track Joint for Race Car Optimization
TrackJoint is a Modelica MultiBody component that turns a three-dimensional road surface into a joint with two degrees of freedom.ORBITAL: Optimization of Robust Brain--Computer Inference Through Architecture-Aware Low-Precision Compression
Compact electroencephalography (EEG) decoders enable embedded brain--computer interfaces (BCIs), but compression can alter adversarial robustness without proportional hardware savings.Decorrelating the Advice Layer: A Calibrated Fragility Metric and Tested Mitigations for Synchronized Liquidation in Agentic Wealth Management
Conversational AI agents are turning wealth management into a continuous loop of market analysis, allocation, risk checks and execution, run for millions of clients on a handful of foundation models.Towards Myocardial Infarction Diagnosis: An Investigation into Machine Learning and Deep Learning Algorithms using ECG Data
Myocardial Infarction (MI) is a severe and potentially fatal cardiac condition caused by myocardial injury due to ischemia, and timely detection can substantially reduce its mortality.Cross-User Adaptation for sEMG Gesture Recognition via Continual Learning
Prosthetic and assistive interfaces increasingly depend on decoding hand gestures from surface electromyography (sEMG).Do Bio-Inspired Algorithms Save Energy in Data Centres? Separating Server Packing from Migration Search in Virtual Machine Consolidation
Energy-efficient virtual machine (VM) consolidation matters as data centre electricity demand rises.Semantic-Coupled Perception Framework for Autonomous Laparoscope Control
In minimally invasive surgery (MIS), maintaining an appropriate field of view (FoV) is essential for surgical safety and efficiency.Certifying Reward Alignment in Portfolio Reinforcement Learning
Financial reinforcement learning often translates an investment objective into an additive risk-adjusted reward.Optimal ratcheting dividend policies with resets
We study an optimal dividend policy problem under ratcheting and bankruptcy constraints.In-Context Adapter Generation for Compositional Generalization in Large Audio Language Models
Large audio language models (LALMs) have achieved strong performance on standard speech and audio understanding tasks, yet their ability to systematically generalize to novel task compositions…Nonlinear Control of Aerial Manipulator
This paper presents two controllers for a quadrotor equipped with a two-DOF robot manipulator that physically interacts with the environment.Trajectory Generation and Control for Quadrotors
In this project, I explored controller design and trajectory generation for a quadrotor.End-to-End Neural Modeling of EM Response and Design Performance for Free-Form RFIC Passives
Passive matching networks are critical components in radio-frequency integrated circuits (RFICs), but their design is bottlenecked by expensive finite-difference-based electromagnetic (EM) simulation.Acute Stroke Classification Using Asymmetric Data Standardization and Orthogonal-Focal Loss Optimized CNN-ViT Cross-Attention Fusion: A Multicenter External Validation Study
Background/Objectives: Rapid differentiation of ischemic and hemorrhagic stroke subtypes is vital for acute management.Multi-view Semantic-aware Resource Allocation for Edge AI
Semantic communication is emerging as a pivotal paradigm to overcome wireless resource scarcity in 6G networks.Dual Gradient Consensus for Adaptive Learning to Transient Out-of-Distribution Disturbances in Quadrotor Control
Quadrotor trajectory tracking under unmodeled disturbances often relies on online residual adaptation, but short out-domain residuals can corrupt the learned disturbance model when constant-step…Audio-R1: Audio Reasoning through Reinforcement Learning on Self-Supervised Tasks
Reasoning is increasingly important for large audio-language models (LALMs), yet remains relatively underexplored compared with text-only and vision-language models.Distributed LLM Inference via Communication-Efficient Speculative Decoding
Distributed speculative decoding has emerged as a promising approach for device--server collaborative large language model (LLM) inference, but its decoding speedup is often limited by the…Exponential Wake-Up Overshoot in Explicit Gaussian Point-Process Filters
When events resume after a long silence, explicit Gaussian point-process filters amplify the first update exponentially in the silence duration.Designing sustainability under Earth-system rate constraints
Sustainability debates are monopolized by quantities: total energy use, material stocks, or recycling volumes.
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