Tootfinder

Un an\'alisis bibliom\'etrico de la producci\'on cient\'ifica acerca del agrupamiento de trayectorias GPS
Gary Reyes, Laura Lanzarini, C\'esar Estrebou, Aurelio F. Bariviera
https://arxiv.org/abs/2404.17761

Un análisis bibliométrico de la producción científica acerca del agrupamiento de trayectorias GPS
Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community. With the development of clustering algorithms considered traditional, improvements to these algorithms and even unique methods considered as "novelty" for science have emerged. This work aims to analyze the scientific production that exists around the topic "GPS trajectory clustering" by means of bibliometrics. Therefore, a total of 559 articles from t…

A new hybrid gadolinium nanoparticles-loaded polymeric material for neutron detection in rare event searches
Collaboration, Acerbi, Adhikari, Agnes, Ahmad, Albergo, Albuquerque, Alexander, Alton, Amaudruz, Angiolilli, Aprile, Ardito, Corona, Auty, Ave, Avetisov, Azzolini, Back, Balmforth, Olmedo, Barrillon, Batignani, Bhowmick, Bocci, Bonivento, Bottino, Boulay, Buchowicz, Bussino, Busto, Cadeddu, Cadoni, Calabrese, Camillo, Caminata, Canci, Capra, Caravati, C\'ardenas-Montes, Carg…

A new hybrid gadolinium nanoparticles-loaded polymeric material for neutron detection in rare event searches
Experiments aimed at direct searches for WIMP dark matter require highly effective reduction of backgrounds and control of any residual radioactive contamination. In particular, neutrons interacting with atomic nuclei represent an important class of backgrounds due to the expected similarity of a WIMP-nucleon interaction, so that such experiments often feature a dedicated neutron detector surrounding the active target volume. In the context of the development of DarkSide-20k detector at INFN Gr…

Physics-Informed Graph Neural Networks for Water Distribution Systems
Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer
https://arxiv.org/abs/2403.18570

Physics-Informed Graph Neural Networks for Water Distribution Systems
Water distribution systems (WDS) are an integral part of critical infrastructure which is pivotal to urban development. As 70% of the world's population will likely live in urban environments in 2050, efficient simulation and planning tools for WDS play a crucial role in reaching UN's sustainable developmental goal (SDG) 6 - "Clean water and sanitation for all". In this realm, we propose a novel and efficient machine learning emulator, more precisely, a physics-informed deep learning (DL) model…

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma
Abanti Bhattacharjya, Md Manowarul Islam, Md Ashraf Uddin, Md. Alamin Talukder, AKM Azad, Sunil Aryal, Bikash Kumar Paul, Wahia Tasnim, Muhammad Ali Abdulllah Almoyad, Mohammad Ali Moni
https://

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma
With the advent of Information technology, the Bioinformatics research field is becoming increasingly attractive to researchers and academicians. The recent development of various Bioinformatics toolkits has facilitated the rapid processing and analysis of vast quantities of biological data for human perception. Most studies focus on locating two connected diseases and making some observations to construct diverse gene regulatory interaction networks, a forerunner to general drug design for cur…

Perhaps the most interesting article I've read on Europe's efforts to decarbonise road transport, the controversy over electrification, the proposed alternatives, Chinese manufacturing and a way forward for Europe.
(article in French, screenshots translated with DeepL)
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Fin du véhicule thermique : pourquoi et comment y parvenir ? | Terra Nova
Dans le cadre de la campagne pour les élections européennes 2024, nous avons demandé à différents experts de formuler des recommandations sur plusieurs questions stratégiques pour l’avenir de l’Union européenne. Nous ouvrons cette série avec une contribution de Jean-Philippe Hermine, directeur de l’Institut Mobilités en Transition (IMT), à qui nous avons posé la question de la fin du véhicule thermique. Alors que certains émettent des doutes sur les orientations du Green Deal…

Google so badly wants to disown "Bard", it is ascribing it to competitors.
Me: What are the names of your top competitor offerings?
Gemini: [1]
Me: Are you sure about # 3?
Gemini: [2, yup it's all on me 🤦‍♂️]
https://gemini.google.com/share/c24cc7

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping
Arash Asgharivaskasi, Nikolay Atanasov
https://arxiv.org/abs/2402.08867

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping
This work develops a distributed optimization algorithm for multi-robot 3-D semantic mapping using streaming range and visual observations and single-hop communication. Our approach relies on gradient-based optimization of the observation log-likelihood of each robot subject to a map consensus constraint to build a common multi-class map of the environment. This formulation leads to closed-form updates which resemble Bayes rule with one-hop prior averaging. To reduce the amount of information e…

Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan, Xiaohu You
https://arxiv.org/abs/2402.08916

Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Extremely large-scale massive multiple-input multiple-output (XL-MIMO) systems introduce the much higher channel dimensionality and incur the additional near-field propagation effect, aggravating the computation load and the difficulty to acquire the prior knowledge for channel estimation. In this article, an XL-MIMO channel network (XLCNet) is developed to estimate the high-dimensional channel, which is a universal solution for both the near-field users and far-field users with different chann…

Verifying the Australian MWA EoR pipeline I: 21-cm sky model and correlated measurement density
J. L. B. Line, C. M. Trott, J. H. Cook, B. Greig, N. Barry, C. H. Jordan
https://arxiv.org/abs/2404.05140

Verifying the Australian MWA EoR pipeline I: 21-cm sky model and correlated measurement density
We present the first of two papers dedicated to verifying the Australian Epoch of Reionisation pipeline (AusEoRPipe) through simulation. The AusEoRPipe aims to disentangle 21-cm radiation emitted by gas surrounding the very first stars from contaminating foreground astrophysical sources, and has been in development for close to a decade. In this paper, we build an accurate 21-cm sky model that can be used by the WODEN simulation software to create visibilities containing a predictable 21-cm sig…