Search Results - "Neural processing letters"

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review by Kaveh, Mehrdad, Mesgari, Mohammad Saadi

“…The learning process and hyper-parameter optimization of artificial neural networks (ANNs) and deep learning (DL) architectures is considered one of the most…”
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Analysis of Markovian Jump Stochastic Cohen–Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stability by Radhika, T., Chandrasekar, A., Vijayakumar, V., Zhu, Quanxin

“…In this article, the Input-to-state stability theory is used to investigate the stochastic Cohen–Grossberg bidirectional associative memory neural network with…”
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Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review by Bhosale, Yogesh H., Patnaik, K. Sridhar

“…Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth century. Covid-19 has already endangered the lives of millions of…”
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Image Inpainting: A Review by Elharrouss, Omar, Almaadeed, Noor, Al-Maadeed, Somaya, Akbari, Younes

“…Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has recently gained even more…”
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Switching-Like Event-Triggered State Estimation for Reaction–Diffusion Neural Networks Against DoS Attacks by Song, Xiaona, Wu, Nana, Song, Shuai, Stojanovic, Vladimir

“…In this paper, event-triggered state estimation for reaction–diffusion neural networks (RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A…”
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Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems by Baskar, M., Renuka Devi, R., Ramkumar, J., Kalyanasundaram, P., Suchithra, M., Amutha, B.

“…The problem of forgery detection has been well studied and the forged finger prints produces highly impacting results in the biometric based security systems…”
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Bifurcation Mechanism for Fractional-Order Three-Triangle Multi-delayed Neural Networks by Xu, Changjin, Liu, Zixin, Li, Peiluan, Yan, Jinling, Yao, Lingyun

“…This article is basically concerned with the stability and Hopf bifurcation problem of fractional-order three-triangle multi-delayed neural networks. Based on…”
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ParsBERT: Transformer-based Model for Persian Language Understanding by Farahani, Mehrdad, Gharachorloo, Mohammad, Farahani, Marzieh, Manthouri, Mohammad

“…The surge of pre-trained language models has begun a new era in the field of Natural Language Processing (NLP) by allowing us to build powerful language…”
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Daily Activity Feature Selection in Smart Homes Based on Pearson Correlation Coefficient by Liu, Yaqing, Mu, Yong, Chen, Keyu, Li, Yiming, Guo, Jinghuan

“…In the case of a smart home, the ability to recognize daily activities depends primarily on the strategy used for selecting the appropriate features related to…”
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A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks by Auge, Daniel, Hille, Julian, Mueller, Etienne, Knoll, Alois

“…Biologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems…”
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Deep CNN for Brain Tumor Classification by Ayadi, Wadhah, Elhamzi, Wajdi, Charfi, Imen, Atri, Mohamed

“…Brain tumor represents one of the most fatal cancers around the world. It is common cancer in adults and children. It has the lowest survival rate and various…”
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Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images by Islam, Moinul, Reza, Md. Tanzim, Kaosar, Mohammed, Parvez, Mohammad Zavid

“…Medical institutions often revoke data access due to the privacy concern of patients. Federated Learning (FL) is a collaborative learning paradigm that can…”
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A Hybrid Genetic Algorithm for the Energy-Efficient Virtual Machine Placement Problem in Data Centers by Tang, Maolin, Pan, Shenchen

“…Server consolidation using virtualization technology has become an important technology to improve the energy efficiency of data centers. Virtual machine…”
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Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function by Aurelio, Yuri Sousa, de Almeida, Gustavo Matheus, de Castro, Cristiano Leite, Braga, Antonio Padua

“…This paper presents a novel approach to deal with the imbalanced data set problem in neural networks by incorporating prior probabilities into a cost-sensitive…”
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Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability by Haldorai, Anandakumar, Ramu, Arulmurugan

“…People give more importance concerning the overall quality of the modernized ecosystem. The pollution of air is one of the significant problems to be resolved…”
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Nonlinear Neural Network Based Forecasting Model for Predicting COVID-19 Cases by Namasudra, Suyel, Dhamodharavadhani, S., Rathipriya, R.

“…The recent COVID-19 outbreak has severely affected people around the world. There is a need of an efficient decision making tool to improve awareness about the…”
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A Novel Vision Transformer Model for Skin Cancer Classification by Yang, Guang, Luo, Suhuai, Greer, Peter

“…Skin cancer can be fatal if it is found to be malignant. Modern diagnosis of skin cancer heavily relies on visual inspection through clinical screening,…”
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A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT by Datta Gupta, Koyel, Sharma, Deepak Kumar, Ahmed, Shakib, Gupta, Harsh, Gupta, Deepak, Hsu, Ching-Hsien

“…The unavailability of appropriate mechanisms for timely detection of diseases and successive treatment causes the death of a large number of people around the…”
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Robust Passivity and Stability Analysis of Uncertain Complex-Valued Impulsive Neural Networks with Time-Varying Delays by Rajchakit, G., Sriraman, R.

“…In this article, we investigate the robust passivity and stability analysis of uncertain complex-valued impulsive neural network (UCVINN) models with…”
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Exploring the Impact of Delay on Hopf Bifurcation of a Type of BAM Neural Network Models Concerning Three Nonidentical Delays by Li, Peiluan, Gao, Rong, Xu, Changjin, Shen, Jianwei, Ahmad, Shabir, Li, Ying

“…In this research, a kind of BAM neural networks containing three nonidentical time delays are explored. Exploiting fixed point knowledge, we examine that the…”
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