Published: 27 February 2020. 15673/15844)/ Recent Advances in Deep Learning for Medical Image Processing (pp. In this Special Issue we put the focus on two fundamental characteristics necessary to extend and improve the use of Deep Learning architectures. Volume 32, issue 20, October 2020 Special Issue on Advances in Bio-Inspired Intelligent Systems (pp. Topics relevant to the Special … You’re seeing our new journal sites and we’d like your opinion, please Special issue on deep learning and neural computing for intelligent sensing and control. The editors of this Special Issue will be Juan Romero and Penousal Machado. © 2021 Springer Nature Switzerland AG. CiteScore values are based on citation counts in a range of four years (e.g. Volume 32, issue 17 articles listing for Neural Computing and Applications In order to keep the high reliability and stability of the production line, reducing the downtime to repair and the frequency of routine maintenance is necessary. Special issue on Neural Computing and Applications in cyber intelligence: ATCI 2019 Zheng Xu1 • Jemal Abawajy2 Published online: 31 March 2020 Springer-Verlag London Ltd., part of Springer Nature 2020 This special issue focuses on all aspects on techniques and applications in cyber intelligence … The Springer Journal Evolving Systems (EVOS), Academic Accelerator Impact … Neural Computing and Applications. The International Journal of Neural Systems, Impact factor 6.4 World Scientific will edit a Special Issue with selected papers from the AIAI 2020 conference. The special issue on Deep Learning for Music and Audio has been published in Neural Computing and Applications (Impact factor 4.664 (2018)). The special issue will mainly focus on the area of image processing and computer vision, algorithms, architectures, and applications. Download citation. B. Chaudhuri Extended deadline for submission: 30 th November 2020. CiteScore values are based on citation counts in a range of four years (e.g. Topics of interest include (but not limited to): Special Issue on Neural Computing and Applications in cyber intelligence: ATCI 2019 (pp. The special issue on Neural Computing and Applications in Computer Vision and Image Processing is intended to invite the top quality original research articles form in the area of scope of the Neural Computing and Applications. Special Issue on Protocol-Based Performance Analysis of Artificial Neural Networks and Their Applications Recent years have seen a growing number of publications reporting on neural networks (NNs) due to their extensive applications in a broad range of areas such as, repetitive learning, classification of patterns, nonlinear control, adaptive control, image processing, and so forth. The journal Neural Computing and Applications (Q1, IF: 4.66) will publish a Special Issue called “Networks in Art, Sound and Design”. 4315-4480) Real-time applications; Datasets; Important dates . Paper submission deadline: extended to 14 September 2020 (final deadline) Acceptance notification: 30th November 2020. Neural Comput & Applic 32, 1811–1812 (2020). - 207.180.200.232. Tentative publication date: January 2021 Guest Editors Sergio Escalera, Computer Vision Center (UAB) and Universitat de Barcelona, sergio@maia.ub.es - 109.228.18.65. send feedback, Over 10 million scientific documents at your fingertips, Not logged in This special issue seeks innovative articles that exploit new solutions and applications for deep neural networks in emerging multimedia computing and applications. Some authors from EvoMUSART 2020 will be invited to submit a new paper to this Special Issue. Home Browse by Title Periodicals Neural Computing and Applications Vol. Topical Collection on Neural Computing and Applications in Computer Vision and Image Processing (NCACVIP) Guest Editors: Satish Kumar Singh, Xiaoyi Jiang, B. The main intent of this special issue is to cover both the theory and applications of various ML techniques as solutions to privacy and security issues in smart systems. For the same purpose, we still organize the 2020 International Conference on Neural Computing for Advanced Applications (NCAA 2020) that will be held in … 5313-5530)/Advances in Parallel and Distributed Computing for Neural Computing(pp.5531-5734) May 2020, issue 9 Special Issue on Emerging trends of Applied Neural Computation (pp. Xiaomeng Ma1•Qingyuan Zhou2. Application of improved adaptive Kalman filter in China’s interest rate market. Special issue on Neural Computing and Applications in cyber intelligence: ATCI 2019, Application of improved adaptive Kalman filter in China’s interest rate market, Application of KPCA and AdaBoost algorithm in classification of functional magnetic resonance imaging of Alzheimer’s disease, Convolution operators for visual tracking based on spatial–temporal regularization, Research on intelligent knowledge representation method and algorithm based on basic-element theory, Risk analysis method of bank microfinance based on multiple genetic artificial neural networks, Stock price forecast based on combined model of ARI-MA-LS-SVM, Group behavior recognition based on deep hierarchical network, Unstructured big data analysis algorithm and simulation of Internet of Things based on machine learning, Multi-way matching based fine-grained sentiment analysis for user reviews, Diagnosis model of pancreatic cancer based on fusion of distribution estimation algorithm and genetic algorithm, Multimodality registration for ocular multispectral images via co-embedding, Spectral classification of ecological spatial polarization SAR image based on target decomposition algorithm and machine learning, Application and comparison of several machine learning algorithms and their integration models in regression problems, Real-time behavior detection and judgment of egg breeders based on YOLO v3, Research on key technology of pavement object recognition based on machine learning, A new graph learning-based signal processing approach for non-intrusive load disaggregation with active power measurements, Embedded adaptive cross-modulation neural network for few-shot learning, Output feedback fault-tolerant control for a class of nonlinear systems via dynamic gain and neural network, Editorial introduction: special issue on advances in parallel and distributed computing for neural computing, Workload-driven coordination between virtual machine allocation and task scheduling, QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment, Optimizing partitioned CSR-based SpGEMM on the Sunway TaihuLight, Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization, Multifractal detrended fluctuation analysis parallel optimization strategy based on openMP for image processing, Trust-based security routing mechanism in mobile social networks, Parallel multi-view concept clustering in distributed computing, Multi-task cascade deep convolutional neural networks for large-scale commodity recognition, A monetary policy prediction model based on deep learning, An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs, A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints, Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate, Research on an olfactory neural system model and its applications based on deep learning, Fingerprint pattern identification and classification approach based on convolutional neural networks, Balanced training of a hybrid ensemble method for imbalanced datasets: a case of emergency department readmission prediction, Neural controller for the smoothness of continuous signals: an electrical grid example, Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms, Detection and segmentation of iron ore green pellets in images using lightweight U-net deep learning network, A self-adaptive estimation of distribution algorithm with differential evolution strategy for supermarket location problem, Ultimate boundedness of discrete stochastic time-delay systems with logic impulses, Collaborative representation-based discriminant neighborhood projections for face recognition, Fuzzy logic-based modelling of yield strength of as-cast A356 alloy, Pedestrian detection via deep segmentation and context network, Tree-structured multilayer neural network for classification, A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns, Transfer learning features for predicting aesthetics through a novel hybrid machine learning method, Amelioration of task scheduling in cloud computing using crow search algorithm, Statistical modelling and parametric optimization in document fragmentation, Improved social spider optimization algorithm for optimal reactive power dispatch problem with different objectives, Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains. The purpose of this special issue is to provide a forum for presentation a The guest editors for this special issue were Prof. Ching-Hua Chuan from the University of Miami and myself. CiteScore: 10.0 ℹ CiteScore: 2019: 10.0 CiteScore measures the average citations received per peer-reviewed document published in this title. To serve this purpose, in the past decade, many researchers have concentrated to optimize robotic models utilizing artificial intelligence (AI) techniques. Latest issue Articles in press Article collections All issues. This special issue focuses on all aspects of techniques and applications in cyber intelligence research. Issue Date: April 2020. The list of possible topics includes, but not limited to: Novel deep network architectures for large-scale noisy, sparse and diverse multimodal data CiteScore: 9.5 ℹ CiteScore: 2019: 9.5 CiteScore measures the average citations received per peer-reviewed document published in this title. Special issue on developing nature-inspired intelligence by neural systems, SC3: self-configuring classifier combination for obstructive sleep apnea, Machine learning-based classification of cardiac diseases from PCG recorded heart sounds, Comparison of algorithms and classifiers for stride detection using wearables, Multilingual audio information management system based on semantic knowledge in complex environments, An ICA-based method for stress classification from voice samples, Integration of textual cues for fine-grained image captioning using deep CNN and LSTM, Simultaneous multi-descent regression and feature learning for facial landmarking in depth images, Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images, A comprehensive investigation into sclera biometrics: a novel dataset and performance study, Enhanced robustness of convolutional networks with a push–pull inhibition layer, Rademacher complexity of margin multi-category classifiers, Time integration and reject options for probabilistic output of pairwise LVQ, Inference of node attributes from social network assortativity, An energy-based SOM model not requiring periodic boundary conditions, A fuzzy data reduction cluster method based on boundary information for large datasets, The importance of interpretability and visualization in machine learning for applications in medicine and health care, Learning vector quantization and relevances in complex coefficient space, Incremental learning with a homeostatic self-organizing neural model, Dynamics identification and control of nonlinear MIMO coupled plant using supervised neural gas and comparison with recurrent neural controller, A new growing pruning deep learning neural network algorithm (GP-DLNN), Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data, Multidimensional urban segregation: toward a neural network measure, Unsupervised learning-based solution of the Close Enough Dubins Orienteering Problem, Adaptive basis functions for prototype-based classification of functional data, Application of self-organizing map to identify nocturnal epileptic seizures, Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions, A deep wavelet sparse autoencoder method for online and automatic electrooculographical artifact removal, Lipschitz constrained GANs via boundedness and continuity, Autonomic cloud resource provisioning and scheduling using meta-heuristic algorithm, Ultrasound-elastic-image-assisted diagnosis of pulmonary nodules based on genetic algorithm, Diagnosis method of ultrasonic elasticity image of peripheral lung cancer based on genetic algorithm, Automated design of error-resilient and hardware-efficient deep neural networks, A generative adversarial network with structural enhancement and spectral supplement for pan-sharpening. 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