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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 42
A$^3$PreCore: Robust Rigid Registration for Native FLAIR-Space Brain-Mask Transfer
Reliable brain-mask transfer into native fluid-attenuated inversion recovery (FLAIR) space can fail when T1-to-FLAIR rigid registration is unstable.Navigation by Skylight Polarization via Rayleigh Model Optimization on a Road Vehicle
Reliable absolute heading estimation is critical for road-vehicle navigation, particularly when magnetic, inertial, or GNSS-based references are degraded.A Response to the Reply Presented in "A Fair Comparison of Sliding-Mode and Immersion-and-Invariance Observers"
In response to the reply presented in [Muñoz-Vázquez and Sánchez-Torres(2026)], this technical report extends the experimental evaluation of position-feedback velocity observers and adaptive…Analog RF Computing for Integrated Data and AI Flows Over Wireless Networks
Many resource-constrained edge devices require artificial intelligence (AI) services but are not powerful enough to store or execute neural networks (NNs).SNOAR: Self-training with Noise filtering, Observation adding, and Remixing for Speech Denoising Without Clean References
Unsupervised speech denoising methods such as MixIT and noisy-target training can be trained directly on noisy recordings, avoiding the sim-to-real gap of synthetic training data, but remain well…Clarity-Driven Adaptive Mission Planning for a Solar-Powered Autonomous Surface Vessel
This paper presents a comprehensive methodology, backed by simulation and experimental results, for an adaptive mission planning strategy that is mathematically grounded in the maximization of the…Optimally Trading Energy for Information through Speed Trajectory Optimization of Sustainably Powered Mobile Robots
Sustainably powered mobile robots enable long-duration observational missions by harvesting energy from the environment.A Mixture-of-Experts Framework for Multi-Stream Quickest Change Detection
A Mixture-of-Experts (MoE) framework is proposed for quickest change detection (QCD) where there are multiple experts, and each expert produces a sequence of statistics for change detection.$q_x$-Bass Martingales: Optimality, Existence and Convergence
We introduce the class of $q_x$-Bass martingales, extending the notion of $q$-Bass martingales.Planning to Learn: Real-Time Robust Adaptive Control on the GPU with Guaranteed Future Learning
Robust adaptive control is vital for keeping robots safe while actively reducing uncertainty in unfamiliar settings.Cross-subject decoding of imagined speech from scalp EEG: a leakage-controlled evaluation on three public corpora
A decoder of imagined speech that works for a new user without calibration would make a non-invasive speech interface practical.Adaptive Prescribed Performance Trajectory Tracking for Uncertain Autonomous Underwater Vehicles With Input Saturation
Accurate trajectory tracking is essential for autonomous underwater vehicles operating with uncertain hydrodynamics and limited thruster authority.MIDI-REPA: Improving Text-to-Music Generation with Symbolic Representation Alignment
State-of-the-art text-to-music models increasingly rely on scaling model capacity, data, and compute, while still learning musical structure directly from dense audio.Deep Learning for Forest Plantation Mapping in Godavari Districts of Andhra Pradesh, India
Small-area forest plantations play a vital role in the socioeconomic well-being of farmers in Southeast Asia.From Individual Songs to Music Corpora: Evaluating Explainable Harmonic Decision-Making on HookTheory
Automatic melody harmonization is often evaluated through individual compositions or data-driven corpus models.On the Complexity of Linear Programs with Parametric Constraint Matrices
While sensitivity analysis for linear programs with parametric right- hand side vectors is well established, cases involving parametric constraint matrices remain less explored.Collective Benefits and Efficiency in Coupled Echo State Networks
Simple aggregation of independent responses ("wisdom of crowds") generally improves collective performance through statistical facilitation, but interaction among members can sometimes hinder group…Background2Background: a self-supervised background removal framework for high dimensional microscopy
High-dimensional microscopy captures features across space, time, and spectrum, but complex backgrounds obscure signals.FedLoRD: Personalized Federated Learning based on Low-Rank Structures of Model Parameter Differences
We propose FedLoRD, a personalized federated learning (PFL) method based on the low-rank structure of the differences between the global and personalized model parameters.Deficit-Driven Stratified Acquisition for Building STRATA-S12: An Open SAR-Optical Corpus for Self-Supervised Learning
Building a co-registered SAR-optical corpus for self-supervised Earth Observation is above all an acquisition problem, yet the main multi-modal datasets are collected opportunistically, with no…
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