Academic Articles & Research Papers

Neural networks for optimization and signal processing

From the Publisher: Artificial neural networks can be employed to solve a wide spectrum of problems in optimization, parallel computing, matrix algebra and signal processing. Taking a computational approach, this book explains how ANNs pro...

Applications of Neural Networks in Electromagnetics

From the Book: Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...

Introduction to Artificial Neural Network

Applied Deep Learning

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks, in this compr...

PG-MACO Optimization Method for Ship Pipeline Layout

Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, ec...

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...

Optimization of Process Parameters of Air Classifier Based on Particle Trajectory

Under the rapid development of the world’s powder technology, powder materials are used in a wide range of fields such as metallurgy, chemical industry and petroleum. Turbo air classifier is one of the most important mechanical equipment in...

Joint Optimization of Transform and Quantization for High Efficiency Video Coding

In high efficiency video coding (HEVC), transformation and quantization are separately performed to eliminate the perceptual redundancy of visual signals. However, a uniform quantizer can inevitably degrade the compression efficiency of fix...

Search-based software engineering

In the past five years there has been a dramatic increase in work on Search-Based Software Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based Optimization (SBO) algorithms are used to address problems in SE. ...

Spreading Social Influence with both Positive and Negative Opinions in Online Networks

Social networks are important media for spreading information, ideas, and influence among individuals. Most existing research focuses on understanding the characteristics of social networks, investigating how information is spread through t...

Holistic Parameter Optimization for Software Defect Prediction

A software defect prediction (SDP) model identifies the defect-prone modules. Setting appropriate parameters in an SDP model is critical because it affects the model performance. In a recent study, parameters were automatically explored usi...

Unstructured Grid Computing Acceleration Algorithm Based on Sunway TaihuLight

The performance of unstructured grid computing on Sunway TaihuLight, a domestic heterogeneous many-core platform, is limited by sparse storage, discrete memory access, and data dependency.To relieve the sparse storage and discrete memory ac...

CD44-Receptors-Mediated Multiprong Targeting Strategy Against Breast Cancer and Tumor-Associated Macrophages: Design, Optimization, Characterization, and Cytologic Evaluation

Zahid Hussain,1,2 Lama Abdulrahim Abdul Moti,1 Jayalakshmi Jagal,2 Hnin Ei Thu,3 Shahzeb Khan,4 Mohsin Kazi5 1Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah, 27272, United Arab...

Deep learning and metaheuristic optimization for predicting drug release from nanocarrier systems: a data-driven framework for formulation development.

Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations

Energy, exergy, and exergoeconomic evaluations of various geothermal configurations are reported. The main operational and economic parameters of the cycles are evaluated and compared. Multi-objective optimization of the cycles is conducted...

A Heuristic Home Electric Energy Management System Considering Renewable Energy Availability

This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumpt...

Building integrated renewable energy

About one-third of the primary energy in the world is consumed by buildings. A large amount of CO 2 emission due to building energy consumption has threatened the sustainable development of the world. Improvement on the building energy perf...

Spatial Optimization of Wind and Solar Farm Location in Electric Power Systems Considering Power System Flexibility Characteristics

The rapid development of wind and solar energy necessitates a solution to the problem of the optimal spatial placement of wind farms (WFs) and solar farms (SFs) within electric power systems. The non-stationary generation schedules of WFs a...

Capacity Optimization and Rolling Scheduling of Offshore Multi-Energy Coupling Systems

Increasing penetration of offshore renewable energy has highlighted the challenges posed by strong intermittency, output uncertainty, and insufficient utilization of marine energy resources. To address these issues, this study investigates ...

Concurrent frequency–voltage stabilization for hybrid microgrid with virtual inertia support

Abstract This paper presents a novel control scheme for combined frequency and voltage stabilization of an islanded multi‐generator hybrid microgrid (IHμG). The control concept incorporates an improved virtual inertia support scheme (IVIS) ...