Results 61 to 70 of about 10,212,280 (356)

An Optimal Balanced Energy Harvesting Algorithm for Maximizing Two-Way Relaying D2D Communication Data Rate

IEEE Access, 2022
Combining energy harvesting (EH) and device-to-device (D2D) communication underlaying 5G cellular networks is a very promising direction to improve both energy and spectral efficiencies.
Mahmoud M. Salim, H. Elsayed, M. A. Elaziz, M. Fouda, Mohamed S. Abdalzaher   +4 more
semanticscholar   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles

International Journal of Distributed Sensor Networks, 2017
Limited energy, high mobility, and unsteady acoustic communication links render the underwater acoustic sensor networks subject to performance reduction.
Ming He, Fangxin Liu, Zhuang Miao, Huan Zhou, Qiuli Chen   +4 more
doaj   +1 more source

Convergence properties of Gibbs samplers for Bayesian probit regression with proper priors

, 2017
The Bayesian probit regression model (Albert and Chib (1993)) is popular and widely used for binary regression. While the improper flat prior for the regression coefficients is an appropriate choice in the absence of any prior information, a proper ...
Chakraborty, Saptarshi, Khare, Kshitij
core   +1 more source

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li, Ronghua Hong, Hua You, Feiping Xu, Qingjun Zhang, Yiwen Lin, Yuting Su, Danmei Lan, Lingjing Jin, Junhui She   +9 more
wiley   +1 more source

An Efficient Intrusion Detection Model Based on Hybridization of Artificial Bee Colony and Dragonfly Algorithms for Training Multilayer Perceptrons

IEEE Access, 2020
One of the most persistent challenges concerning network security is to build a model capable of detecting intrusions in network systems. The issue has been extensively addressed in uncountable researches and using various techniques, of which a commonly
Waheed Ali H. M. Ghanem, Aman Jantan, Sanaa Abduljabbar Ahmed Ghaleb, Abdullah B. Nasser   +3 more
doaj   +1 more source

A new evolutionary algorithm: Learner performance based behavior algorithm

Egyptian Informatics Journal, 2021
A novel evolutionary algorithm called learner performance based behavior algorithm (LPB) is proposed in this article. The basic inspiration of LPB originates from the process of accepting graduated learners from high school in different departments at ...
Chnoor M. Rahman, Tarik A. Rashid
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Hybridization of Chaotic Grey Wolf Optimizer and Dragonfly Algorithm for Short-Term Hydrothermal Scheduling

IEEE Access, 2020
The short-term hydrothermal scheduling (STHS) is a complicated optimization problem, considering valve-point effect (VPE) and transmission losses, it exhibits the characteristics of nonlinearities and non-smoothness which increase the difficulty of ...
Gonggui Chen, Miao Gao, Zhizhong Zhang, Shuaiyong Li   +3 more
doaj   +1 more source

Breast Cancer Diagnosis Using Support Vector Machines Optimized by Whale Optimization and Dragonfly Algorithms

IEEE Access, 2022
Breast Cancer (BC) has become a critical illness with a high mortality rate during the previous decade. It is considered the women’s most common cancer.
Ahmed S. Elkorany, Mohamed Marey, Khaled M. Almustafa, Zeinab F. Elsharkawy   +3 more
doaj   +1 more source