Results 81 to 90 of about 118,357 (248)

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Intelligent identification and information calculation of slope crack in open-pit mine

工程科学学报
Joint fissures are one of the significant factors that influence the stability of open-pit mine slopes. With advancements in image processing and machine vision technology, the applications of intelligent algorithms for identification have attracted ...
Yiqing ZHAO, Zhehang HUANG, Hongfa LIU, Aibing JIN, Tong LU, Jinbo LIU   +5 more
doaj   +1 more source

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

Advanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa, Patrick Lévêque, Larbi Boubchir   +2 more
wiley   +1 more source

A Deep Learning-Based Approach to Garbage Detection in urban centers

Eurasian Journal of Science and Engineering
The proposed method is an innovative way that address environmental concerns through the integration of artificial intelligence (AI) and image recognition technology.
Slvar Abdulazeez Arif, Abubakar M. Ashir
doaj   +1 more source

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

Remote Sensing, 2020
Mapping landslides using automated methods is a challenging task, which is still largely done using human efforts. Today, the availability of high-resolution EO data products is increasing exponentially, and one of the targets is to exploit this data ...
Nikhil Prakash, Andrea Manconi, Simon Loew   +2 more
doaj   +1 more source

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

Advanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu   +5 more
wiley   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network

Sensors, 2020
Clinical treatment of skin lesion is primarily dependent on timely detection and delimitation of lesion boundaries for accurate cancerous region localization.
Kashan Zafar, Syed Omer Gilani, Asim Waris, Ali Ahmed, Mohsin Jamil, Muhammad Nasir Khan, Amer Sohail Kashif   +6 more
doaj   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Assessing Similarity Between Datasets Using Vector Representations

Доклады Белорусского государственного университета информатики и радиоэлектроники
The article considers an approach to determining the similarity of datasets for training algorithms using datasets with human faces as an example. This approach allows finding similar datasets from different sources, expanding the detection of features ...
А. А. Usatoff, A. M. Nedzved, Guo Jiran   +2 more
doaj   +1 more source