From the 1 of 8 linked papers with an AI index.
8 papers
Visual Place Recognition Using Rate-Encoded Spiking Neural Networks with Discrete STDP Learning
Altzi Tsanko, Oikonomou Katerina Maria, Antonios Gasteratos
The paper presents a tensor‑native implementation of a spiking neural network for visual place recognition that uses discrete STDP learning, and shows how design choices like deter…
Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
Nicholas Santavas, Kareem Eissa, Patrycja Cieplicka +6
Enterprise LLM deployment faces a critical scalability challenge: organizations must optimize models systematically to scale AI initiatives within constrained compute budgets, yet…
Visual Place Recognition for Large-Scale UAV Applications
Ioannis Tsampikos Papapetros, Ioannis Kansizoglou, Antonios Gasteratos
Visual Place Recognition (vPR) plays a crucial role in Unmanned Aerial Vehicle (UAV) navigation, enabling robust localization across diverse environments. Despite significant advan…
UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou +2
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acqui…
Spiking Neural Network Feature Discrimination Boosts Modality Fusion
Katerina Maria Oikonomou, Ioannis Kansizoglou, Antonios Gasteratos
Feature discrimination is a crucial aspect of neural network design, as it directly impacts the network's ability to distinguish between classes and generalize across diverse datas…
Future Aspects in Human Action Recognition: Exploring Emerging Techniques and Ethical Influences
Antonios Gasteratos, Stavros N. Moutsis, Konstantinos A. Tsintotas +1
Visual-based human action recognition can be found in various application fields, e.g., surveillance systems, sports analytics, medical assistive technologies, or human-robot inter…