Medio ambiente y sostenibilidad

A Computationally Tractable Path-Planning Method for Airborne Wind Energy Systems

- Airborne Wind Energy Systems (AWES) have emerged as a promising renewable energy technology that exploits stronger, more consistent high-altitude winds via tethered airborne devices. Among the...

Designing Capacitated Subnetworks for Shortest Path Routing

- In pursuit of higher energy efficiency in computer networks, one subfield of green traffic engineering aims at reducing the size of a network during times of low traffic, while still guaranteeing the...

Fluid Antenna Systems Enabling 6G HRLLC With Port Switching Delay

- Fluid antenna systems (FAS) exploit antenna position reconfigurability to unlock massive spatial diversity within compact form factors, making them a promising enabler for 6G user terminals (UTs)....

PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs

- Power-of-two (PoT) quantization significantly reduces the size of deep neural networks (DNNs) and replaces multiplications with bit-shift operations for inference. Prior work has shown that...

XtraMAC: An Efficient MAC Architecture for Mixed-Precision LLM Inference on FPGA

- The widespread adoption of mixed-precision quantization in large language models (LLMs) has created demand for hardware that can efficiently perform multiply-accumulate (MAC) operations across mixed...

Optimal Transport for LLM Reward Modeling from Noisy Preference

- Reward models are fundamental to Reinforcement Learning from Human Feedback (RLHF), yet real-world datasets are inevitably corrupted by noisy preference. Conventional training objectives tend to...

Community-to-Vehicle: Integrating Electric Vehicles into Energy Communities -- A Swiss Case Study

- The institutional separation between local energy communities and public electric vehicle (EV) charging limits the efficient use of locally generated renewable energy. This paper introduces the...

Consideration of Control-Loop Interaction in Transient Stability of Grid-Following Inverters using Bandwidth Separation Method

- Grid-following inverters have been widely adopted as a grid interface for renewable energy, and ensuring their small-signal and large-signal stability is critical to modern power systems. Their...

Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation

- Multi-agent LLM systems for code generation face a fundamental routing problem: the optimal orchestration topology depends on the structural complexity of the code under modification, yet existing...

A Scalable Digital Twin Framework for Energy Optimization in Data Centers

- This study proposes a scalable Digital Twin framework for energy optimization in data this http URL framework integrates IoT-based data acquisition,...

Characterizing Brazilian Atlantic Forest Restoration Outcomes with Geospatial AlphaEarth Embeddings

- The Atlantic Forest in Brazil is a critical biodiversity hotspot, yet less than 12-15% of its original cover remains. Although monitoring forest restoration on a large scale is essential, traditional...

DICE: Enabling Efficient General-Purpose SIMT Execution with Statically Scheduled Coarse-Grained Reconfigurable Arrays

- While GPUs dominate massively parallel computing through the single-instruction, multiple-thread (SIMT) programming model, their underlying single-instruction, multiple-data (SIMD) execution incurs...

A Robust Foundation Model for Conservation Laws: Injecting Context into Flux Neural Operators via Recurrent Vision Transformers

- We propose an architecture that augments the Flux Neural Operator (Flux NO), which combines the classical finite volume method (FVM) with neural operators, with ViT-based context injection. Our model...

Forecasting Green Skill Demand in the Automotive Industry: Evidence from Online Job Postings

- The global transition toward sustainable economies is reshaping labor markets, yet systematic methods for identifying and forecasting green skills remain limited. This study presents a computational...

Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework

- Droughts and flash droughts (rapidly developing droughts; FDs) remain impactful events that are known to desiccate landscape and destroy crops. In particular, droughts in Africa are often more...

Coffee's mood-boosting effects aren't just down to caffeine

07/05/2026 - A comprehensive study exploring coffee’s physiological effects finds that some of its benefits are down to polyphenols and their influence on gut bacteria

A common constipation drug shows surprising power to protect kidneys

08/05/2026 - A common constipation drug may have unexpectedly unlocked a new way to slow chronic kidney disease — a condition that affects millions and often leads to dialysis. In a clinical trial involving 150...

Scientists discover a new way to prevent gum disease without killing good bacteria

08/05/2026 - Scientists have uncovered a surprising way to influence the bacteria living in our mouths — not by killing them, but by interrupting how they “talk” to each other. Researchers found that dental...

Arbuscular mycorrhizae fungi diversity and population as affected by watershed management practices at Kara Soditti Watershed, Wenago district, Southern Ethiopia

07/05/2026 - Land degradation is among a serious ecological problem that results in decreased land productivity, including soil nutrients and microbiota. Soil and water conservation (SWC) practices such as...

Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis

- Achieving resilient and sustainable cities requires scalable approaches to decarbonising residential buildings, which account for about 20% of UK greenhouse gas emissions and 25% of energy-related...

Exploring Clustering Capability of Inpainting Model Embeddings for Pattern-based Individual Identification

- In this paper, we explore deep learning techniques for individual identification of animals based on their skin patterns. Individual identification is crucial in biodiversity monitoring, since it...