Results 161 to 170 of about 18,674 (285)

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Analysis on Cable Fault Tolerance Kinematics Space of Cable-driven Snake-arm Robots

Jixie chuandong
Snake-arm robots attract extensive attention and research because of its compact structure, flexible motion and operational ability in narrow space and dangerous working conditions.
Chen Huiqing, Yang Taiwei
doaj  

CTRNet: a lightweight and efficient deep learning model for field maize whorl identification. [PDF]

Sci Rep
Tian X, Zhang J, Li Y.
europepmc   +1 more source

Pediatric Sigmoid Volvulus Presenting As Acute Intestinal Obstruction in a Previously Healthy 14-Year-Old Adolescent: A Case Report. [PDF]

Cureus
Kassa NI, Malore ET, Mohammed N, Alemayehu Y, Zereai K.   +4 more
europepmc   +1 more source

Synthesis and Control of Hyper Redundant Robots

Synthesis and Control of Hyper Redundant Robots
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Integrating neural, physiological, and interoceptive measures in social interaction. [PDF]

Front Neurosci
Lettieri G.
europepmc   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Hybrid parastomal endoscopic repair (HyPER): a retrospective case series of 200 patients treated over ten years at a single center. [PDF]

Surg Endosc
Szczepkowski M, Zamkowski M, Ziółkowski B, Czyżewski P, Witkowski P, Śmietański M.   +5 more
europepmc   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source