Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]
Sensors (Basel)Maghanaki M +3 more
europepmc +1 more source
READ STABILITY AND POWER ANALYSIS OF A PROPOSED NOVEL 8 TRANSISTOR STATIC RANDOM ACCESS MEMORY CELL IN 45 NM TECHNOLOGY [PDF]
, 2014 Prashant Upadhyay +3 more
openalex
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Autonomous robots with socially-aware navigation using memory-assisted deep reinforcement learning. [PDF]
Sci RepMontero E +4 more
europepmc +1 more source
Leakage power reduction techniques of 45 nm static random access memory (SRAM) cells
, 2011 Manish Dev Singh
openalex +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Impact of Fabrication Defects on FPGA Logic Using Memristor-Based Memory Cells. [PDF]
Micromachines (Basel)Schoenen J +10 more
europepmc +1 more source
Development of an Abstract Model for a Non-volatile Static Random Access Memory
, 2004 K. T. Oommen Tharakan +2 more
openalex +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]
Quantum Mach IntellLim D, Doriguello JF, Rebentrost P.
europepmc +1 more source