Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Scientific Research Publishing

Hem-CNN: An Efficient Intracranial Hemorrhage Detection Model Using Explainable Deep Learning in Head CT Scan Images ()

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...
C&EN

Technology Roadmap of Micro/Nanorobots

The Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093, United States School of Medicine and Health, Harbin Institute of ...
C&EN

Optimal Control of Specification in LPG Blend: A Deep Learning and PSO−Driven Framework for Minimizing Off-Spec Production

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Liquefied Petroleum Gas (LPG) is a crucial energy source, widely utilized in ...
Scientific Research Publishing

A Comparative Analysis of the Performance of Machine Learning and Deep Learning Techniques in Predicting Stock Prices ()

1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...
Frontiers

Adaptive IES Load Forecasting Method Based on the Octopus Model

Improving the accuracy and speed of integrated energy system load forecasting is a great significance for improving the real-time scheduling and optimized operation of the integrated energy system. In ...
Frontiers

Design Optimization of a Pneumatic Soft Robotic Actuator Using Model-Based Optimization and Deep Reinforcement Learning

We present two frameworks for design optimization of a multi-chamber pneumatic-driven soft actuator to optimize its mechanical performance. The design goal is to achieve maximal horizontal motion of ...