Suchergebnisse - Swarm intelligence. Pattern recognition systems. Image processing. Engineering

Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy von Bhandari, Ashish Kumar, Singh, Vineet Kumar, Kumar, Anil, Singh, Girish Kumar

“… since they exhaustively search the optimal thresholds to optimize the objective functions. To overcome this problem, two successful swarm-intelligence-based global optimization algorithms, cuckoo search (CS …”
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Analysis and design of optimal deep neural network model for image recognition using hybrid cuckoo search with self-adaptive particle swarm intelligence von Shelar, Alankar, Kulkarni, Raj

“… : DNN, Image Recognition, Bio-Inspired Swarm Intelligence, Hybrid Cuckoo Search, Self-Adaptive Particle Swarm Intelligence …”
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Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur’s, Otsu and Tsallis functions von Bhandari, A.K., Kumar, A., Singh, G.K.

“… •A modified ABC algorithm based fast satellite image segmentation has been presented …”
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CoSLAM: Collaborative Visual SLAM in Dynamic Environments von Zou, Danping, Tan, Ping

“… To further enhance the system robustness, we maintain the position uncertainty of each map point …”
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Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms von Albahadili, Abbas Jabr Saleh, Akbas, Ayhan, Rahebi, Javad

“… Phishing attacks are one of the challenges of the Internet and its users. Phishing attacks are an example of social engineering attacks based on deceiving users …”
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A new automatic sleep stage classification model using swarm intelligence-based hybrid transfer learning architecture von Raja, A. Ravi, Polasi, Phani Kumar

“… Existing automatic sleep stage classification systems have mostly relied on hand-crafted features selected from polysomnographic records …”
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Bee Swarm Intelligence Inspired Sustainable Swarm Air Purification Agent System with K-means Clustering von Sahai, Priya, Kumar, Rakesh, Mehrotra, Monica

“… Most of the world’s population is living in hazardous air quality. In this paper, we have proposed an air purification peer-to-peer networked multi-agent-based intelligent system in open areas for a society complex in urban cities …”
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Adaptive feature selection using v-shaped binary particle swarm optimization von Teng, Xuyang, Dong, Hongbin, Zhou, Xiurong

“… To evaluate the combined effect of different subsets in the entire feature space, an adaptive feature selection method based on V-shaped binary particle swarm optimization is proposed …”
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Multilevel Colonoscopy Histopathology Image Segmentation Using Particle Swarm Optimization Techniques von Kanadath, Anusree, Jothi, J. Angel Arul, Urolagin, Siddhaling

“… Histopathology image segmentation is a challenging task in medical image processing …”
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Particle swarm optimization based fusion of near infrared and visible images for improved face verification von Raghavendra, R., Dorizzi, Bernadette, Rao, Ashok, Hemantha Kumar, G.

“… This paper presents two novel image fusion schemes for combining visible and near infrared face images (NIR …”
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Optimized featured swarm convolutional neural network (OFSCNN) model based dialect recognition system for Bagri Rajasthani language von Kukana, Poonam, Sharma, Pooja, Bhardwaj, Neeru

“… A dialect recognition system must effectively distinguish between different dialects of a standard language, as they tend to possess many similarities …”
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A comparison of nature inspired algorithms for multi-threshold image segmentation von Osuna-Enciso, Valentı´n, Cuevas, Erik, Sossa, Humberto

“… ► We present an empirical comparison of three state of the art meta-heuristics. ► Were used blood images to perform thresholding by a mixture of Gaussian functions …”
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A Cooperative approach to particle swarm optimization von van den Bergh, F., Engelbrecht, A.P.

“… The particle swarm optimizer (PSO) is a stochastic, population-based optimization technique that can be applied to a wide range of problems, including neural network training …”
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ACBSO: a hybrid solution for load balancing using ant colony and bird swarm optimization algorithms von Raghav, Yogita Yashveer, Vyas, Vaibhav

“… In order to balance the load in cloud computing, this study suggests a hybrid technique called "ACBSO" that uses both ant-colony and bird swarm optimization techniques …”
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OntoDSO: an ontological-based dolphin swarm optimization (DSO) approach to perform energy efficient routing in Wireless Sensor Networks (WSNs) von Boopathi, Mythili, Parikh, Swapnil, Awasthi, Aishwary, Malviya, Ashwini, Nachappa, M. N., Mishra, Awakash, Shyam, Gopal Krishna, Narula, Gagandeep Singh

“… ) by using an ontological-based dolphin swarm optimization (DSO) approach. It makes use of echolocation and ontology to locate and represent cluster nodes close to the sink thereby maintaining optimal energy consumption during simulation …”
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PSO and RF Based Improved ECG Signal Analysis von Gupta, Varun, Diwania, Sourav, Tamrakar, Balram, Rathi, Nikhil, Srivastava, Jyoti

“… The proposed work presents an advanced methodology integrating Particle Swarm Optimization (PSO) and Random Forest (RF) algorithms, enhanced with the 8th order IIR Butterworth Filter and Fractional Fourier Transform …”
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An approach to multimodal biomedical image registration utilizing particle swarm optimization von Wachowiak, M.P., Smolikova, R., Yufeng Zheng, Zurada, J.M., Elmaghraby, A.S.

“… In this paper, a new evolutionary approach, particle swarm optimization, is adapted for single-slice 3D-to-3D biomedical image registration …”
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Modified Bird Swarm Algorithm for blind image steganalysis von Chhikara, Rita, Sharma, Prabha, Chandra, B., Malik, Nidhi

“… Blind image Steganalysis is gaining lot of importance these days owing to its application in cyberwarfare, computer forensics, tracking anti-social elements over internet …”
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Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition von Connolly, Jean-François, Granger, Eric, Sabourin, Robert

“… In many real-world applications, pattern recognition systems are designed a priori using limited and imbalanced data acquired from complex changing environments …”
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An experimentation of objective functions used for multilevel thresholding based image segmentation using particle swarm optimization von Ahmed, Saifuddin, Biswas, Anupam, Khairuzzaman, Abdul Kayom Md

“… weight Particle Swarm Optimization (PSO) technique. The PSO algorithm is applied to multilevel thresholding based image segmentation using either …”
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