Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDApplied Soft Computing, Volume 84
Volume 84, November 2019
- Aravinthkumar Selvaraj, Rizwan Patan
, Amir H. Gandomi, Ganesh Gopal Deverajan, Manjula Pushparaj:
Optimal virtual machine selection for anomaly detection using a swarm intelligence approach. - R. Karthik, Utkarsh Gupta, Ashish Jha, Ratnavel Rajalakshmi, R. Menaka:
A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network. - Ngoc Hoang Luong, Tanja Alderliesten, Bradley R. Pieters, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman:
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy.
- Chongke Bi, Guosheng Pan, Lu Yang, Chun-Cheng Lin, Min Hou, Yuanqi Huang:
Evacuation route recommendation using auto-encoder and Markov decision process. - Jason C. Hung, Kuan-Cheng Lin, Nian-Xiang Lai:
Recognizing learning emotion based on convolutional neural networks and transfer learning. - Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, Chin-Teng Lin:
Subject adaptation network for EEG data analysis. - Chen Shen, Hongfei Lin, Xiaochao Fan, Yonghe Chu, Zhihao Yang, Jian Wang, Shaowu Zhang:
Biomedical event trigger detection with convolutional highway neural network and extreme learning machine. - Samuel Ndichu, Sangwook Kim, Seiichi Ozawa, Takeshi Misu, Kazuo Makishima:
A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors.
- Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Chengyu Liu, Han Liu, Julie Walters:
Improving K-means clustering with enhanced Firefly Algorithms. - Hiroshi Ohno:
Neural network-based transductive regression model. - Huaizhi Su, Zhaoqing Fu, Zhiping Wen:
SFPSO algorithm-based multi-scale progressive inversion identification for structural damage in concrete cut-off wall of embankment dam. - Muhammad Summair Raza, Usman Qamar:
A parallel approach to calculate lower and upper approximations in dominance based rough set theory. - Mi Li, Huan Chen, Xin Shi, Sa Liu, Ming Zhang, Shengfu Lu:
A multi-information fusion "triple variables with iteration" inertia weight PSO algorithm and its application. - Mun Chon Ho, Joanne Mun-Yee Lim, Kian Lun Soon, Chun Yong Chong:
An improved pheromone-based vehicle rerouting system to reduce traffic congestion. - Nurul Hila Zainuddin, Muhamad Safiih Lola, Maman Abdurachman Djauhari, Fadhilah Yusof, Mohd Noor Afiq Ramlee, Aziz Deraman, Yahaya Ibrahim, Mohd Tajuddin Abdullah:
Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks. - Mykola Herasymovych, Karl Märka, Oliver Lukason:
Using reinforcement learning to optimize the acceptance threshold of a credit scoring model. - Airam Expósito, Julio Brito, José A. Moreno, Christopher Expósito Izquierdo:
Quality of service objectives for vehicle routing problem with time windows. - Bo Lei, Jiulun Fan:
Image thresholding segmentation method based on minimum square rough entropy. - Siwen Liu, Jun Pei, Hao Cheng, Xinbao Liu, Panos M. Pardalos:
Two-stage hybrid flow shop scheduling on parallel batching machines considering a job-dependent deteriorating effect and non-identical job sizes. - Nataliya Chukhrova, Arne Johannssen:
Fuzzy regression analysis: Systematic review and bibliography. - Ammara Mehmood, Aneela Zameer, Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja:
Backtracking search heuristics for identification of electrical muscle stimulation models using Hammerstein structure. - Amruta Lipare, Damodar Reddy Edla, Venkatanareshbabu Kuppili:
Energy efficient load balancing approach for avoiding energy hole problem in WSN using Grey Wolf Optimizer with novel fitness function. - Chyh-Ming Lai, Chun-Chih Chiu, Wei-Che Liu, Wei-Chang Yeh:
A novel nondominated sorting simplified swarm optimization for multi-stage capacitated facility location problems with multiple quantitative and qualitative objectives. - Wei Zhou, Zeshui Xu:
Hesitant fuzzy linguistic portfolio model with variable risk appetite and its application in the investment ratio calculation. - Asma M. Altabeeb, Abdulqader M. Mohsen, Abdullatif Ghallab:
An improved hybrid firefly algorithm for capacitated vehicle routing problem. - Ki-sung Koo, Manimaran Govindarasu, Jin Tian:
Event prediction algorithm using neural networks for the power management system of electric vehicles. - Yan Xia, Zhong-kai Feng, Wen-jing Niu, Hui Qin, Zhi-qiang Jiang, Jian-zhong Zhou:
Simplex quantum-behaved particle swarm optimization algorithm with application to ecological operation of cascade hydropower reservoirs. - Thuan Thanh Nguyen, Thang Trung Nguyen:
An improved cuckoo search algorithm for the problem of electric distribution network reconfiguration. - Zhen Zhang, Xinyue Kou, Iván Palomares, Wenyu Yu, Junliang Gao:
Stable two-sided matching decision making with incomplete fuzzy preference relations: A disappointment theory based approach. - Sourabh Sharma, Harish Sharma, Janki Ballabh Sharma:
An adaptive color image watermarking using RDWT-SVD and artificial bee colony based quality metric strength factor optimization. - Yafei Song, Qiang Fu, Yi-Fei Wang, Xiaodan Wang:
Divergence-based cross entropy and uncertainty measures of Atanassov's intuitionistic fuzzy sets with their application in decision making. - Weilong Hu, Yain-Whar Si, Simon Fong, Raymond Yiu-Keung Lau:
A formal approach to candlestick pattern classification in financial time series. - Caihong Mu, Chengzhou Li, Yi Liu, Rong Qu, Licheng Jiao:
Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. - Teck Yan Tan, Li Zhang, Chee Peng Lim:
Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models. - Jia-Wei Han, Qingxue Li, Hua-Rui Wu, Huaji Zhu, Yu-Ling Song:
Prediction of cooling efficiency of forced-air precooling systems based on optimized differential evolution and improved BP neural network. - Babak Nasseh Chaffi, Fakhteh Soltani Tafreshi:
Nasseh method to visualize high-dimensional data. - Hui Lu, Rongrong Zhou, Shi Cheng, Yuhui Shi:
Multi-center variable-scale search algorithm for combinatorial optimization problems with the multimodal property. - Guoshen Ding, Fengzhong Dong, Hai Zou:
Fruit fly optimization algorithm based on a hybrid adaptive-cooperative learning and its application in multilevel image thresholding. - Siyu Jiang, Xiaoyu He, Yuren Zhou:
Many-objective evolutionary algorithm based on adaptive weighted decomposition. - José-Fernando Camacho-Vallejo, Cristóbal Garcia-Reyes:
Co-evolutionary algorithms to solve hierarchized Steiner tree problems in telecommunication networks. - Carlos Martín, David Quintana, Pedro Isasi:
Grammatical Evolution-based ensembles for algorithmic trading. - Prabhat R. Singh, Mohamed Abd El Aziz, Shengwu Xiong:
Ludo game-based metaheuristics for global and engineering optimization. - Li Han, Rongchang Zhang, Kai Chen:
A coordinated dispatch method for energy storage power system considering wind power ramp event. - Saeed Mahmoudi, Amir Jalali, Maryam Ahmadi, Parvin Abasi, Nader Salari:
Identifying critical success factors in Heart Failure Self-Care using fuzzy DEMATEL method. - Chunshien Li, Chia-Hao Tu:
Complex neural fuzzy system and its application on multi-class prediction - A novel approach using complex fuzzy sets, IIM and multi-swarm learning. - Hamed Amini Amirkolaee, Hossein Arefi:
Monocular depth estimation with geometrical guidance using a multi-level convolutional neural network. - Juan Ignacio Forcén, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Combination of features through weighted ensembles for image classification. - Feng Zhou, Qun Zhang, Didier Sornette, Liu Jiang:
Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices. - Diego Cantorna, Carlos Dafonte, Alfonso Iglesias, Bernardino Arcay Varela:
Oil spill segmentation in SAR images using convolutional neural networks. A comparative analysis with clustering and logistic regression algorithms. - Pawel Plawiak, Moloud Abdar, U. Rajendra Acharya:
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. - Barry R. Cobb, Linda Li:
Bayesian network model for quality control with categorical attribute data. - Pegah Amini, Mehdi Khashei:
A soft intelligent allocation-based hybrid model for uncertain complex time series forecasting. - Tatjana V. Sibalija:
Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008-2018). - Yuto Matsuura, Akira Hayano, Ken'ichi Itakura, Yukinori Suzuki:
Estimation of planes of a rock mass in a gallery wall from point cloud data based on MD PSO. - Wei Gao, Jalal Alsarraf, Hossein Moayedi, Amin Shahsavar, Hoang Nguyen:
Comprehensive preference learning and feature validity for designing energy-efficient residential buildings using machine learning paradigms. - Joanna Szlapczynska, Rafal Szlapczynski:
Preference-based evolutionary multi-objective optimization in ship weather routing. - Qing Zhu, Fan Zhang, Shan Liu, Yiqiong Wu, Lin Wang:
A hybrid VMD-BiGRU model for rubber futures time series forecasting. - Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Oscar Maciel-Castillo, Itzel Aranguren, Fernando Fausto:
An improved Simulated Annealing algorithm based on ancient metallurgy techniques. - Abhishek Nair, Diana Reckien, Martin F. A. M. van Maarseveen:
A generalised fuzzy cognitive mapping approach for modelling complex systems.
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-26 18:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
