Tootfinder

What Matters for Bioacoustic Encoding
Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Olivier Pietquin, Matthieu Geist, Emmanuel Chemla, Maddie Cusimano, Felix Effenberger, Masato Hagiwara, Benjamin Hoffman, Sara Keen, Diane Kim, Jane Lawton, Jen-Yu Liu, Aza Raskin
https://arxiv.org/abs/2508.11845…

What Matters for Bioacoustic Encoding
Bioacoustics, the study of sounds produced by living organisms, plays a vital role in conservation, biodiversity monitoring, and behavioral studies. Many tasks in this field, such as species, individual, and behavior classification and detection, are well-suited to machine learning. However, they often suffer from limited annotated data, highlighting the need for a general-purpose bioacoustic encoder capable of extracting useful representations for diverse downstream tasks. Such encoders have b…

Age of Information Minimization in Goal-Oriented Communication with Processing and Cost of Actuation Error Constraints
Rishabh S. Pomaje, Jayanth S., Rajshekhar V. Bhat, Nikolaos Pappas
https://arxiv.org/abs/2508.07865

Age of Information Minimization in Goal-Oriented Communication with Processing and Cost of Actuation Error Constraints
We study a goal-oriented communication system in which a source monitors an environment that evolves as a discrete-time, two-state Markov chain. At each time slot, a controller decides whether to sample the environment and if so whether to transmit a raw or processed sample, to the controller. Processing improves transmission reliability over an unreliable wireless channel, but incurs an additional cost. The objective is to minimize the long-term average age of information (AoI), subject to con…

WiRM: Wireless Respiration Monitoring Using Conjugate Multiple Channel State Information and Fast Iterative Filtering in Wi-Fi Systems
James Rhodes, Lawrence Ong, Duy T. Ngo
https://arxiv.org/abs/2507.23419

WiRM: Wireless Respiration Monitoring Using Conjugate Multiple Channel State Information and Fast Iterative Filtering in Wi-Fi Systems
Monitoring respiratory health with the use of channel state information (CSI) has shown promising results. Many existing methods focus on monitoring only the respiratory rate, while others focus on monitoring the motion of the chest as a patient breathes, which is referred to as the respiratory waveform. This paper presents WiRM, a two-staged approach to contactless respiration monitoring. In the first stage, WiRM improves upon existing respiratory rate estimation techniques by using conjugate …

Using LLMs and Essence to Support Software Practice Adoption
Sonia Nicoletti, Paolo Ciancarini
https://arxiv.org/abs/2508.16445 https://arxiv.org/pdf/2508.…

Using LLMs and Essence to Support Software Practice Adoption
Recent advancements in natural language processing (NLP) have enabled the development of automated tools that support various domains, including software engineering. However, while NLP and artificial intelligence (AI) research has extensively focused on tasks such as code generation, less attention has been given to automating support for the adoption of best practices, the evolution of ways of working, and the monitoring of process health. This study addresses this gap by exploring the integr…

Investigating Hallucination in Conversations for Low Resource Languages
Amit Das, Md. Najib Hasan, Souvika Sarkar, Zheng Zhang, Fatemeh Jamshidi, Tathagata Bhattacharya, Nilanjana Raychawdhury, Dongji Feng, Vinija Jain, Aman Chadha
https://arxiv.org/abs/2507.22720

Investigating Hallucination in Conversations for Low Resource Languages
Large Language Models (LLMs) have demonstrated remarkable proficiency in generating text that closely resemble human writing. However, they often generate factually incorrect statements, a problem typically referred to as 'hallucination'. Addressing hallucination is crucial for enhancing the reliability and effectiveness of LLMs. While much research has focused on hallucinations in English, our study extends this investigation to conversational data in three languages: Hindi, Farsi, and Mandari…

RIS-Aided Cooperative ISAC Networks for Structural Health Monitoring
Jie Yang, Chao-Kai Wen, Xiao Li, Shi Jin
https://arxiv.org/abs/2507.02731 https://

RIS-Aided Cooperative ISAC Networks for Structural Health Monitoring
Integrated sensing and communication (ISAC) is a key feature of future cellular systems, enabling applications such as intruder detection, monitoring, and tracking using the same infrastructure. However, its potential for structural health monitoring (SHM), which requires the detection of slow and subtle structural changes, remains largely unexplored due to challenges such as multipath interference and the need for ultra-high sensing precision. This study introduces a novel theoretical framewor…

On the Age of Information in Single-Server Queues with Aged Updates
Fernando Miguelez, Urtzi Ayesta, Josu Doncel, Maria Dolores Ugarte
https://arxiv.org/abs/2506.19648

On the Age of Information in Single-Server Queues with Aged Updates
The Age of Information (AoI) is a performance metric that quantifies the freshness of data in systems where timely updates are critical. Most state-of-the-art methods typically assume that packets enter the monitored system with zero age, neglecting situations, such as those prevalent in multi-hop networks or distributed sensing, where packets experience prior delays. In this paper, the AoI is investigated when packets have a non-zero initial age. We derive an expression for the average AoI in …