Results 61 to 70 of about 31,017 (213)

Conserving Approximations in Time-Dependent Density Functional Theory [PDF]

, 2005
In the present work we propose a theory for obtaining successively better approximations to the linear response functions of time-dependent density or current-density functional theory.
A. L. Fetter, D. J. W. Geldart, D. J. W. Geldart, G. Baym, Gianluca Stefanucci, L. V. Keldysh, L. V. Keldysh, M. Petersilka, Nils Erik Dahlen, R. van Leeuwen, R. van Leeuwen, R. van Leeuwen, R. van Leeuwen, Robert van Leeuwen, Ulf von Barth   +14 more
core   +3 more sources

Research on Solving Flexible Job Shop Scheduling Problem Based on Improved GWO Algorithm SS-GWO

Neural Processing Letters
AbstractAs an important branch of production scheduling, the flexible job shop scheduling problem (FJSP) is a typical NP-hard problem. Researchers have adopted many intelligent algorithms to solve the FJSP problem, nonetheless, the task of dynamically adapting its essential parameters during the computational process is a significant challenge ...
Kai Zhou, Chuanhe Tan, Yi Zhao, Junyuan Yu, Zhilong Zhang, Yanqiang Wu   +5 more
openaire   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

Structural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

An Improved Grey Wolf Optimizer Based on Differential Evolution and OTSU Algorithm

Applied Sciences, 2020
Aimed at solving the problems of poor stability and easily falling into the local optimal solution in the grey wolf optimizer (GWO) algorithm, an improved GWO algorithm based on the differential evolution (DE) algorithm and the OTSU algorithm is proposed
Yuanyuan Liu, Jiahui Sun, Haiye Yu, Yueyong Wang, Xiaokang Zhou   +4 more
doaj   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Metaheuristic algorithms in optimizing neural network: a comparative study for forest fire susceptibility mapping in Dak Nong, Vietnam

Geomatics, Natural Hazards & Risk, 2019
Meta-heuristic algorithms become common approaches in finding sufficiently good solutions for optimization problems. This study proposed and compared three novel hybrid methods, namely Biogeography-based Optimization (BBO), Gravitational Search Algorithm
Quang-Thanh Bui
doaj   +1 more source

AGPLO‐Driven Optimisation for Accurate Segmentation of Papillary Thyroid Carcinoma in Medical Imaging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan, Xiaoxiao Chen, Hanbing Yao, Yujia Xu, Shiqi Xu, Shihao Zhao, Yulun Wu, Yingting Dai, Yubing Chen, Shuqing Ma, Qiongying Zhang, Ying Zhou, Ali Asghar Heidari, Huiling Chen, Yangping Shentu   +14 more
wiley   +1 more source

Liver Lesions Diagnosis Using Gwo-Anfis Framework

International Journal of Engineering and Advanced Technology, 2019
In this paper, liver abnormality is detected using an improved classification model that consists of series of process. The study reveals the liver condition to be normal or abnormal using the proposed system. The study uses both structural and statistical analysis, where both these analysis is combined with the process of classification.
M. Babu*, Dr.G. Nanthakumar
openaire   +1 more source

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

Advances in Civil Engineering, 2021
This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm.
Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing   +6 more
doaj   +1 more source

3D Character Reconstruction from Hand‐drawn Model Sheets

Computer Graphics Forum, EarlyView.
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon, Wonjong Jang, Yoonha Hwang, Seungyong Lee   +3 more
wiley   +1 more source