AIMC Topic: Physical Phenomena

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On the compression of neural networks using ℓ-norm regularization and weight pruning.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2023
Despite the growing availability of high-capacity computational platforms, implementation complexity still has been a great concern for the real-world deployment of neural networks. This concern is not exclusively due to the huge costs of state-of-th...
Neural Networks, Computer Data Compression Physical Phenomena
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Mean square exponential stabilization analysis of stochastic neural networks with saturated impulsive input.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2023
The exponential stabilization of stochastic neural networks in mean square sense with saturated impulsive input is investigated in this paper. Firstly, the saturated term is handled by polyhedral representation method. When the impulsive sequence is ...
Neural Networks, Computer Algorithms Time Factors Stochastic Processes Physical Phenomena
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Biohybrid magnetic microrobots: An intriguing and promising platform in biomedicine.

Acta biomaterialia Aug 10, 2023
Biohybrid magnetic microrobots (BMMs) have emerged as an exciting class of microrobots and have been considered as a promising platform in biomedicine. Many microorganisms and body's own cells show intriguing properties, such as morphological charact...
Robotics Magnetic Phenomena Magnetics Physical Phenomena
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Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet.

Neural networks : the official journal of the International Neural Network Society Aug 9, 2023
We predict steady-state Stokes flow of fluids within porous media at pore scales using sparse point observations and a novel class of physics-informed neural networks, called "physics-informed PointNet" (PIPN). Taking the advantages of PIPN into acco...
Neural Networks, Computer Porosity Physics Physical Phenomena
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Pangolin-inspired untethered magnetic robot for on-demand biomedical heating applications.

Nature communications Jun 20, 2023
Untethered magnetic miniature soft robots capable of accessing hard-to-reach regions can enable safe, disruptive, and minimally invasive medical procedures. However, the soft body limits the integration of non-magnetic external stimuli sources on the...
Animals Robotics Heating Physical Phenomena Body Temperature Regulation Pangolins
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Energy-Efficient Configuration and Control Allocation for a Dynamically Reconfigurable Underwater Robot.

Sensors (Basel, Switzerland) Jun 8, 2023
A dynamically reconfigurable underwater robot, which can vary its configuration during a mission, would be useful for confined environment exploration and docking because of its versatility. A mission can be performed by choosing among different conf...
Computer Simulation Robotics Physical Phenomena
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Biodegradable Magnetic Hydrogel Robot with Multimodal Locomotion for Targeted Cargo Delivery.

ACS applied materials & interfaces Jun 7, 2023
Recent strides in the development of untethered miniature robots have shown the advantages of diverse actuation methods, flexible maneuverability, and precise locomotion control, which has made miniature robots attractive for biomedical applications ...
Robotics Magnetic Phenomena Hydrogels Locomotion Physical Phenomena
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Optimization of a near-zero-emission energy system for the production of desalinated water and cooling using waste energy of fuel cells.

Chemosphere May 25, 2023
In the present study, a biomass-based multi-purpose energy system that can generate power, desalinated water, hydrogen, and ammonia is presented. The gasification cycle, gas turbine, Rankine cycle, PEM electrolyzer, ammonia production cycle using the...
Artificial Intelligence Water Cold Temperature Ammonia Physical Phenomena
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Mitigating carbon footprint for knowledge distillation based deep learning model compression.

PloS one May 15, 2023
Deep learning techniques have recently demonstrated remarkable success in numerous domains. Typically, the success of these deep learning models is measured in terms of performance metrics such as accuracy and mean average precision (mAP). Generally,...
Deep Learning Carbon Dioxide Physical Phenomena Carbon Footprint
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Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots.

Neural networks : the official journal of the International Neural Network Society Feb 14, 2023
From the control theory, the best control gain produces a balance between the trajectory tracking accuracy and control energy consumption. The random search of the bat algorithm is one alternative to find the best control gain. In this paper, (1) a b...
Algorithms Robotics Physical Phenomena
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