Results 141 to 150 of about 80,893 (323)
Resource Management and Simulation Tools in Fog Computing – A comparative Study
Vadde Usha
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Band‐tail and deep trap states are effectively disentangled through the use of selective alkylamine additives. PA‐driven 2D ordering narrows band tails, while HA enhances halide passivation and Pb coordination to suppress deep traps. A comparative study of their CQD short‐wave infrared (SWIR) photodetectors further reveals whether band‐tail states or ...
Huaying Zhong +14 more
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Autonomic Computing for Sustainable and Reliable Fog Computing
Maneet Kaur, Harjot Kaur
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Magnetic Droplet Manipulation on Open Surfaces
Recent advances in the manipulation of magnetic droplets demonstrate various manipulations on open surfaces, including transport, splitting, merging, and force‐controlled motion, enabled by magnetic particles and external fields. ABSTRACT Manipulation of liquids on a smaller scale enables applications in various fields, particularly diagnostics and ...
Robab Jahangir, Vahid Nasirimarekani
wiley +1 more source
Enhanced Mutual Authentication Technique using Id (Matid) in Fog Computing
K. Sujatha, V. Ceronmani Sharmila
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The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
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Verifiable and privacy-preserving fine-grained data management in vehicular fog computing: A game theory-based approach [PDF]
Zahra Seyedi +3 more
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Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
wiley +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
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Design of Intelligent Fusion Terminal System with Fog Computing Capability in Distribution Area based on Large Capacity CPU [PDF]
Ou Zhang +4 more
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