output
20032026
most citedGraphene-enabled adaptive infrared textiles

171 citations

135 papers

cs.LG2026★ 3 cited

AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning

Pengxiang Wang, Hongbo Bo, Jun Hong +2

Catastrophic forgetting is a major problem in task-incremental learning, where neural networks tend to overwrite previously learned knowledge when trained on new tasks. A number of…

cs.HC2026

When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes

Freek Hens, Amirhossein Sadough, Aleksa Bokšan +2

Surface electromyography (sEMG) sensors are widely used in human-computer interaction, yet the failure of a single sensor can compromise system usability. We propose a methodologic…

cs.AI2025

An exploration for higher efficiency in multi objective optimisation with reinforcement learning

Mehmet Emin Aydin

Efficiency in optimisation and search processes persists to be one of the challenges, which affects the performance and use of optimisation algorithms. Utilising a pool of operator…

cs.CR2025★ 1 cited

Collaborative penetration testing suite for emerging generative AI algorithms

Petar Radanliev

Problem Space: AI Vulnerabilities and Quantum Threats Generative AI vulnerabilities: model inversion, data poisoning, adversarial inputs. Quantum threats Shor Algorithm breaking RS…

cs.CR2025

Red Teaming Quantum-Resistant Cryptographic Standards: A Penetration Testing Framework Integrating AI and Quantum Security

Petar Radanliev

This study presents a structured approach to evaluating vulnerabilities within quantum cryptographic protocols, focusing on the BB84 quantum key distribution method and National In…

nlin.CG2025

Post-apocalyptic computing from cellular automata

Genaro J. Martinez, Andrew Adamatzky, Guanrong Chen

Cellular automata are arrays of finite state machines that can exist in a finite number of states. These machines update their states simultaneously based on specific local rules t…