AIMC Topic: Engineering
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Large-scale transformer-based topic graphs identify thematic links between engineering and biology.
Scientific reports
Aug 10, 2025
We develop an AI system that pairs engineering problems with biology-inspired solutions at a large scale, by analyzing over 101 million abstracts to identify thematic links between engineering and biology. We detect coherent themes in each domain wit...
Educational impacts of generative artificial intelligence on learning and performance of engineering students in China.
Scientific reports
Jul 22, 2025
With the rapid advancement of generative artificial intelligence (AI), its potential applications in higher education have attracted significant attention. This study investigated how 148 students from diverse engineering disciplines and regions acro...
Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering.
Environmental science & technology
Sep 29, 2024
Special Issue: Big Scientific Data and Machine Learning in Science and Engineering.
Big data
Jul 31, 2024
Making Waves: Towards data-centric water engineering.
Water research
Apr 8, 2024
Artificial intelligence (AI) is expected to transform many scientific disciplines, with the potential to significantly accelerate scientific discovery. This perspective calls for the development of data-centric water engineering to tackle water chall...
Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons.
Sensors (Basel, Switzerland)
Mar 30, 2024
The present work proposes a comprehensive metaheuristic methodology for the development of a medical robot for the upper limb rehabilitation, which includes the topological optimization of the device, kinematic models (5 DOF), human-robot interface, ...
A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors.
Sensors (Basel, Switzerland)
Mar 29, 2024
Frameworks for human activity recognition (HAR) can be applied in the clinical environment for monitoring patients' motor and functional abilities either remotely or within a rehabilitation program. Deep Learning (DL) models can be exploited to perfo...
Efficient spiking neural network design via neural architecture search.
Neural networks : the official journal of the International Neural Network Society
Feb 16, 2024
Spiking neural networks (SNNs) are brain-inspired models that utilize discrete and sparse spikes to transmit information, thus having the property of energy efficiency. Recent advances in learning algorithms have greatly improved SNN performance due ...
Environmental resilience through artificial intelligence: innovations in monitoring and management.
Environmental science and pollution research international
Feb 15, 2024
The rapid rise of artificial intelligence (AI) technology has revolutionized numerous fields, with its applications spanning finance, engineering, healthcare, and more. In recent years, AI's potential in addressing environmental concerns has garnered...
AMDDLmodel: Android smartphones malware detection using deep learning model.
PloS one
Jan 19, 2024
Android is the most popular operating system of the latest mobile smart devices. With this operating system, many Android applications have been developed and become an essential part of our daily lives. Unfortunately, different kinds of Android malw...
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