Tootfinder

Near-Field SWIPT Using XL-MIMO: Power Allocation and Subarray Activation
Muhammad Zeeshan Mumtaz, Mohammadali Mohammadi, Hien Quoc Ngo, Michail Matthaiou
https://arxiv.org/abs/2506.20050

Near-Field SWIPT Using XL-MIMO: Power Allocation and Subarray Activation
This paper investigates the simultaneous wireless information and power transfer (SWIPT) capability of a modular extremely large multiple-input multiple-output (XL-MIMO) system, in the context of power consumption (PC) efficiency. The network users are divided into two functional categories: information decoding (ID) users and energy harvesting (EH) users. Non-stationary near-field channels are considered whilst the users are located in spatially distinct visibility regions (VRs). We formulate …

Modular Robot and Landmark Localisation Using Relative Bearing Measurements
Behzad Zamani, Jochen Trumpf, Chris Manzie
https://arxiv.org/abs/2507.18070 https://

Modular Robot and Landmark Localisation Using Relative Bearing Measurements
In this paper we propose a modular nonlinear least squares filtering approach for systems composed of independent subsystems. The state and error covariance estimate of each subsystem is updated independently, even when a relative measurement simultaneously depends on the states of multiple subsystems. We integrate the Covariance Intersection (CI) algorithm as part of our solution in order to prevent double counting of information when subsystems share estimates with each other. An alternative …

Socio-Technical Smell Dynamics in Code Samples: A Multivocal Review on Emergence, Evolution, and Co-Occurrence
Arthur Bueno, Bruno Cafeo, Maria Cagnin, Awdren Font\~ao
https://arxiv.org/abs/2507.13481

Socio-Technical Smell Dynamics in Code Samples: A Multivocal Review on Emergence, Evolution, and Co-Occurrence
Code samples play a pivotal role in open-source ecosystems (OSSECO), serving as lightweight artifacts that support knowledge transfer, onboarding, and framework adoption. Despite their instructional relevance, these samples are often governed informally, with minimal review and unclear ownership, which increases their exposure to socio-technical degradation. In this context, the co-occurrence and longitudinal interplay of code smells (e.g., large classes, poor modularity) and community smells (…

Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Piyush Mishra (I2M, FRESNEL, TCLS, AMU), Philippe Roudot (FRESNEL, TCLS, CNRS)
https://arxiv.org/abs/2506.09441

Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Tracking multiple particles in noisy and cluttered scenes remains challenging due to a combinatorial explosion of trajectory hypotheses, which scales super-exponentially with the number of particles and frames. The transformer architecture has shown a significant improvement in robustness against this high combinatorial load. However, its performance still falls short of the conventional Bayesian filtering approaches in scenarios presenting a reduced set of trajectory hypothesis. This suggests …

This https://arxiv.org/abs/2501.09805 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task
Modularity is a well-established concept for assessing community structures in various single and multi-layer networks, including those in biological and social domains. Brain networks are known to exhibit community structure at local, meso, and global scale. However, modularity is limited as a metric to a global scale describing the overall strength of community structure, overlooking important variations in community structure at node level. To address this limitation, we extended modularity …

This https://arxiv.org/abs/2504.08472 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Simultaneous Rational Number Codes: Decoding Beyond Half the Minimum Distance with Multiplicities and Bad Primes
In this paper, we extend the work of (Abbondati et al., 2024) on decoding simultaneous rational number codes by addressing two important scenarios: multiplicities and the presence of bad primes (divisors of denominators). First, we generalize previous results to multiplicity rational codes by considering modular reductions with respect to prime power moduli. Then, using hybrid analysis techniques, we extend our approach to vectors of fractions that may present bad primes. Our contributions incl…