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Citations to this Journal [176 citations: 1–100 of 170 articles]

Articles published in Applied Computational Intelligence and Soft Computing have been cited 176 times. The following is a list of the 170 articles that have cited the articles published in Applied Computational Intelligence and Soft Computing.

  • Supriya Raheja, “Designing of Vague Logic Based 2-Layered Framework for CPU Scheduler,” Advances in Fuzzy Systems, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
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  • Hong-Yuan Wang, and Fuhua Chen, “Semisupervised Soft Mumford-Shah Model for MRI Brain Image Segmentation,” Applied Computational Intelligence and Soft Computing, vol. 2016, pp. 1–14, 2016. View at Publisher · View at Google Scholar
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  • G. Sahu, B. Biswal, and A. Choubey, “Non-stationary signal classification via modified fuzzy C-means algorithm and improved bacterial foraging algorithm,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2016. View at Publisher · View at Google Scholar
  • Sk Md Obaidullah, Chayan Halder, Nibaran Das, and Kaushik Roy, “Bangla and Oriya Script Lines Identification from Handwritten Document Images in Tri-script Scenario,” International Journal of Service Science, Management, Engineering, and Technology, vol. 7, no. 1, pp. 43–60, 2016. View at Publisher · View at Google Scholar
  • H.A. Barbosa, and T.V. Lakshmi Kumar, “Influence of rainfall variability on the vegetation dynamics over Northeastern Brazil,” Journal of Arid Environments, vol. 124, pp. 377–387, 2016. View at Publisher · View at Google Scholar
  • Yeison Alberto Garcés Gomez, Nicolás Toro García, and Fredy E. Hoyos, “New Application’s Approach to Unified Power Quality Conditioners for Mitigation of Surge Voltages,” Journal of Electrical and Computer Engineering, vol. 2016, pp. 1–8, 2016. View at Publisher · View at Google Scholar
  • Muhammad Shoaib, Asaad Y. Shamseldin, Bruce W. Melville, and Mudasser Muneer Khan, “A comparison between wavelet based static and dynamic neural network approaches for runoff prediction,” Journal of Hydrology, 2016. View at Publisher · View at Google Scholar
  • Abbas Abdolmaleki, Nuno Lau, Luis Paulo Reis, Jan Peters, and Gerhard Neumann, “Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller,” Journal of Intelligent & Robotic Systems, 2016. View at Publisher · View at Google Scholar
  • Amandeep Singh, Mamta Khosla, and Balwinder Raj, “Comparative Analysis of Carbon Nanotube Field Effect Transistor and Nanowire Transistor for Low Power Circuit Design,” Journal Of Nanoelectronics And Optoelectronics, vol. 11, no. 3, pp. 388–393, 2016. View at Publisher · View at Google Scholar
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  • Jun-jie Xue, Ying Wang, Hao Li, Xiang-fei Meng, and Ji-yang Xiao, “Advanced Fireworks Algorithm and Its Application Research in PID Parameters Tuning,” Mathematical Problems in Engineering, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Che-Hung Liu, Qi Chen, Chang-Hua Liu, and Zhaohui Zhong, “Graphene Ambipolar Nanoelectronics for High Noise Rejection Amplification,” Nano Letters, 2016. View at Publisher · View at Google Scholar
  • Hassan Ismkhan, “A Novel Intelligent Algorithm to Control Mutation Rate Using the Concept of Local Trap,” New Generation Computing, vol. 34, no. 1-2, pp. 177–192, 2016. View at Publisher · View at Google Scholar
  • Kamal Hajari, Ujwalla Gawande, and Yogesh Golhar, “Neural Network Approach to Iris Recognition in Noisy Environment,” Procedia Computer Science, vol. 78, pp. 675–682, 2016. View at Publisher · View at Google Scholar
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  • Hao Guo, Anming Bao, Tie Liu, Sheng Chen, and Felix Ndayisaba, “Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China,” Remote Sensing, vol. 8, no. 5, pp. 379, 2016. View at Publisher · View at Google Scholar
  • Ravinesh C. Deo, Mukesh K. Tiwari, Jan F. Adamowski, and John M. Quilty, “Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model,” Stochastic Environmental Research and Risk Assessment, 2016. View at Publisher · View at Google Scholar
  • Xinwei Qiu, Chiyang Liu, Guangzhou Mao, Yu Deng, Feifei Wang, and Jianqiang Wang, “Major, trace and platinum-group element geochemistry of the Upper Triassic nonmarine hot shales in the Ordos basin, Central China,” Applied Geochemistry, vol. 53, pp. 42–52, 2015. View at Publisher · View at Google Scholar
  • V. Antony Vijesh, and K. Harish Kumar, “Wavelet based quasilinearization method for semi-linear parabolic initial boundary value problems,” Applied Mathematics and Computation, vol. 266, pp. 1163–1176, 2015. View at Publisher · View at Google Scholar
  • Rutuparna Panda, and Manoj Kumar Naik, “A novel adaptive crossover bacterial foraging optimization algorithm for linear discriminant analysis based face recognition,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Manoj Kumar Naik, and Rutuparna Panda, “A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition,” Applied Soft Computing, 2015. View at Publisher · View at Google Scholar
  • Ravinesh C. Deo, and Mehmet Şahin, “Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia,” Atmospheric Research, vol. 161-162, pp. 65–81, 2015. View at Publisher · View at Google Scholar
  • Yousef Naranjani, Yousef Sardahi, YangQuan Chen, and Jian-Qiao Sun, “Multi-Objective Optimization of Distributed-Order Fractional Damping,” Communications in Nonlinear Science and Numerical Simulation, 2015. View at Publisher · View at Google Scholar
  • Y. Diouane, S. Gratton, and L. N. Vicente, “Globally convergent evolution strategies for constrained optimization,” Computational Optimization and Applications, 2015. View at Publisher · View at Google Scholar
  • Indumathy Rajagopal, and Uma Maheswari Sankareswaran, “Hybrid Particle Swarm Optimization with Iterative Local Search for DNA Sequence Assembly,” Current Bioinformatics, vol. 10, no. 4, pp. 393–400, 2015. View at Publisher · View at Google Scholar
  • Supriya Raheja, Reena Dadhich, and Smita Rajpal, “Designing of vague logic based multilevel feedback queue scheduler,” Egyptian Informatics Journal, 2015. View at Publisher · View at Google Scholar
  • Şaban Gülcü, and Halife Kodaz, “A novel parallel multi-swarm algorithm based on comprehensive learning particle swarm optimization,” Engineering Applications of Artificial Intelligence, vol. 45, pp. 33–45, 2015. View at Publisher · View at Google Scholar
  • Raashid Hussain, Ahsen Raza, Imran Siddiqi, Khurram Khurshid, and Chawki Djeddi, “A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation,” EURASIP Journal on Image and Video Processing, vol. 2015, no. 1, 2015. View at Publisher · View at Google Scholar
  • Mohammad Hossein Zarifi, Hajar Satvati, and Mehdi Baradaran-nia, “Analysis of evolutionary techniques for the automated implementation of digital circuits,” Expert Systems with Applications, 2015. View at Publisher · View at Google Scholar
  • Jelena Z. Kiurski-Milosevic, Mirjana B. Vojinovic Miloradov, and Nebojsa M. Ralevic, “Fuzzy model for determination and assessment of groundwater quality in the city of Zrenjanin, Serbia,” Hemijska Industrija, vol. 69, no. 1, pp. 17–28, 2015. View at Publisher · View at Google Scholar
  • Dilip Kumar Pratihar, “Expert systems in manufacturing processes using soft computing,” International Journal Of Advanced Manufacturing Technology, vol. 81, no. 5-8, pp. 887–896, 2015. View at Publisher · View at Google Scholar
  • S. Samantha Bastiani, Laura Cruz-Reyes, Eduardo Fernandez, and Claudia Gomez, “Portfolio Optimization From a Set of Preference Ordered Projects Using an Ant Colony Based Multi-objective Approach,” International Journal Of Computational Intelligence Systems, vol. 8, pp. 41–53, 2015. View at Publisher · View at Google Scholar
  • Jinlan Li, Chaowei Wang, Yinghai Zhang, Lin Kang, and Zhi Chen, “On Critical Density for Coverage and Connectivity in Directional Sensor Network over Stochastic Channels Using Continuum Percolation,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Taejin Lee, Hesun Cho, Haeryong Park, and Jin Kwak, “Detection of Malware Propagation in Sensor Node and Botnet Group Clustering Based on E-mail Spam Analysis,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Xiao Laisheng, “Living Space Evolution: A New Crowd Based Computational Approach,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–16, 2015. View at Publisher · View at Google Scholar
  • Anup Kumar Panda, and Sushree Sangita Patnaik, “Analysis of cascaded multilevel inverters for active harmonic filtering in distribution networks,” International Journal of Electrical Power & Energy Systems, vol. 66, pp. 216–226, 2015. View at Publisher · View at Google Scholar
  • E E Luneva, P I Banokin, and A A Yefremov, “Evaluation of social network user sentiments based on fuzzy sets,” IOP Conference Series: Materials Science and Engineering, vol. 93, pp. 012054, 2015. View at Publisher · View at Google Scholar
  • Bruno S Neves, Anderson S Venturini, and Altamiro A Susin, “A novel caching algorithm for VoD proxy implementation and its evaluation including a new set of metrics for efficiency analysis,” Journal of the Brazilian Computer Society, vol. 21, no. 1, 2015. View at Publisher · View at Google Scholar
  • Youngmin Seo, Sungwon Kim, and Vijay P. Singh, “Multistep-ahead flood forecasting using wavelet and data-driven methods,” Ksce Journal Of Civil Engineering, vol. 19, no. 2, pp. 401–417, 2015. View at Publisher · View at Google Scholar
  • Mi Xiao, Long Wen, Xi Li, and Liang Gao, “Modeling of the Feed-Motor Transient Current in End Milling by Using Varying-Coefficient Model,” Mathematical Problems in Engineering, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
  • Shiva Gholami-Boroujeny, and Miodrag Bolic, “Extraction of Cole parameters from the electrical bioimpedance spectrum using stochastic optimization algorithms,” Medical & Biological Engineering & Computing, 2015. View at Publisher · View at Google Scholar
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  • Tim Herrmann, Johannes Mallow, Markus Plaumann, Michael Luchtmann, Joerg Stadler, Judith Mylius, Michael Brosch, and Johannes Bernarding, “The Travelling-Wave Primate System: A New Solution for Magnetic Resonance Imaging of Macaque Monkeys at 7 Tesla Ultra-High Field,” Plos One, vol. 10, no. 6, 2015. View at Publisher · View at Google Scholar
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