Results 141 to 150 of about 1,382,431 (351)

Robots, productivity and quality [PDF]

, 1972
C. A. Rosen
openalex   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network

水下无人系统学报
To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater
Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA   +3 more
doaj   +1 more source

Commentary: Robot or no robot? That is not the question [PDF]

The Journal of Thoracic and Cardiovascular Surgery, 2021
openaire   +2 more sources

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Robot perception learning [PDF]

, 1977
Leonard Friedman
openalex   +1 more source

A deep learning framework based on structured space model for detecting small objects in complex underwater environments

Communications Engineering
Regular monitoring of marine life is essential for preserving the stability of marine ecosystems. However, underwater target detection presents several challenges, particularly in balancing accuracy with model efficiency and real-time performance.
Yaoming Zhuang, Jiaming Liu, Haoyang Zhao, Longyu Ma, Zirui Fang, Li Li, Chengdong Wu, Wei Cui, Zhanlin Liu   +8 more
doaj   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

A REVIEW REGARDING DEEP LEARNING TECHNOLOGY IN MOBILE ROBOTS [PDF]

, 1970
Vlad Ovidiu Mihalca, Flaviu Birouaș, Florin Avram, Arnold Nilgesz   +3 more
openalex   +1 more source

A novel ResNet50-based attention mechanism for image classification

Journal of Applied Science and Engineering
Image classification tasks often compress the neural network model to reduce the number of parameters, which leads to a decrease in classification accuracy.
Jingsi Zhang, Xiaosheng Yu, Xiaoliang Lei, Chengdong Wu   +3 more
doaj   +1 more source