Results 31 to 40 of about 236,376 (265)

Distributed strongly convex optimization [PDF]

2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012
18 pages single column draftcls format, 1 figure, Submitted to Allerton ...
Konstantinos I. Tsianos, Michael G. Rabbat   +1 more
openaire   +2 more sources

Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy

Zhejiang dianli, 2022
New energy stations and energy storage power stations are working in closer cooperation in the context of a high proportion of new energy access with high uncertainty. Given the characteristics of distributed autonomous decision-making between new energy
WU Xiaogang, WU Xinhua, JI Qingfeng, MA Mingyu, LIGAO Junjie   +4 more
doaj   +1 more source

Machine learning and transfer learning techniques for accurate brain tumor classification

Clinical eHealth
Brain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks if not treated early. Despite numerous advancements, accurate segmentation and classification remain challenging.
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar   +2 more
doaj   +1 more source

ML: Early Breast Cancer Diagnosis

Current Problems in Cancer: Case Reports
Breast cancer is the most common malignancy among women worldwide, often characterized by the uncontrolled proliferation of breast cells, leading to the formation of lumps or tumors that can be detected through medical imaging such as X-rays ...
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar   +2 more
doaj   +1 more source

Distributed Model Predictive Contouring Control for Real-Time Multi-Robot Motion Planning

Complex System Modeling and Simulation, 2022
Existing motion planning algorithms for multi-robot systems must be improved to address poor coordination and increase low real-time performance. This paper proposes a new distributed real-time motion planning method for a multi-robot system using Model ...
Jianbin Xin, Yaoguang Qu, Fangfang Zhang, Rudy Negenborn   +3 more
doaj   +1 more source

Efficiency and accuracy comparison of machine learning algorithms for predicting US energy consumption across sectors

South African Journal of Chemical Engineering
This study uses machine learning algorithms to predict energy consumption across the United States's critical sectors (commercial, residential, transportation, and industrial).
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar   +2 more
doaj   +1 more source

Efficient Resource Allocation Using Distributed Edge Computing in D2D Based 5G-HCN With Network Slicing

IEEE Access, 2021
Fifth Generation (5G) cellular networks aim to overcome the pressing demands posed by dynamic Quality of Service (QoS) constraints, which have primarily remained unaddressed using conventional network infrastructure.
Lubna Nadeem, Yasar Amin, Jonathan Loo, Muhammad Awais Azam, Kok Keong Chai   +4 more
doaj   +1 more source

Advanced techniques for wind energy production forecasting: Leveraging multi-layer Perceptron + Bayesian optimization, ensemble learning, and CNN-LSTM models

Case Studies in Chemical and Environmental Engineering
Due to the shortage of fossil fuels in many countries, power plants that rely on fossil fuels will be phased out in favor of wind turbines as the primary source of energy generation.
Seyed Matin Malakouti, Farrokh Karimi, Hamid Abdollahi, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar, Mohammad Hassan Moradi   +5 more
doaj   +1 more source

Solution to DC Optimal Power Flow Problems with Demand Response via Distributed Asynchronous Primal-Dual Algorithms

SICE Journal of Control, Measurement, and System Integration, 2020
As distributed energy resources increase, distributed optimization for power system operation and demand response (DR) have been intensively investigated in recent years. This paper presents a distributed solution for a DC optimal power flow problem with
Eiji Masuda, Yusuke Matsuda, Yuji Wakasa, Ryosuke Adachi   +3 more
doaj   +1 more source

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar, Karen Thibaudeau, Mary Mathias, Heather McDaniel, Madlen Reschke, Klaus Tenbrock, Joseph M. Parker, Amy Shapiro   +7 more
wiley   +1 more source