Results 71 to 80 of about 162,419 (260)
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Presently, a combination of chemotherapy, radiotherapy, thermotherapy, and other treatments has become a hot topic of research for the treatment of cancer, especially lung cancer.
Yan Shen +7 more
doaj +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
This paper proposes the novel design of a positioning control system of a piezo-ceramic actuator. Piezo-ceramic actuators have been used extensively in many engineering applications which require high precision positioning. However, it is well known that
Dongbo LIU, Fumitake FUJII
doaj +1 more source
Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan +8 more
wiley +1 more source
Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao +3 more
wiley +1 more source
Design Optimization of Manifold Microchannel Heat Sink using Evolutionary Algorithms [PDF]
In today’s world, miniaturized products are proved to be the dis-ruptive technologies contributing to the sustainability through green energy. Microchannel heat sink (MCHS) is an advanced cooling device to accom-plish the cooling requirements for such ...
Gulia Vikas, Nargundkar Aniket
doaj +1 more source
Study and Comparison The Performance of Sensorless Control of PMSM Drive System [PDF]
Field oriented control space vector pulse width modulation (FOC- SVPWM) is one of the effective and modern methods for speed control of Permanent magnet synchronous motor (PMSM).
Majid K. Al-Khatat +1 more
doaj +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Particle Swarm Optimization Framework for Low Power Testing of VLSI Circuits
Power dissipation in sequential circuits is due to increased toggling count of Circuit under Test, which depends upon test vectors applied. If successive test vectors sequences have more toggling nature then it is sure that toggling rate of flip flops is
Khosla, Arun +2 more
core +2 more sources

