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Pattern matching algorithms in blockchain for network fees reduction
Blockchain received a vast amount of attention in recent years and is still growing. The second generation of blockchain, such as Ethereum, allows...
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Analyzing breast cancer comorbidities: a network approach using community detection algorithms
Breast cancer is a prominent global health concern, as the data from the International Agency for Research on Cancer (IARC) shows that breast cancer...
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Cycle sampling neural network algorithms and applications
Two improved sampling neural network (SNN) algorithms, Cycle SNN (CSNN) and Rolling-Cycle SNN (RSNN), are proposed and optimized in this study, to...
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Quantitative evaluation of image segmentation algorithms based on fuzzy convolutional neural network
Natural images are considered complex images in image processing because features such as color and texture are very much combined in these images....
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How to Improve Neural Network Training Using Evolutionary Algorithms
Artificial neural networks are a staple of modern artificial intelligence. These systems must often undergo a training procedure to learn how to...
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Overcoming vaccine hesitancy by multiplex social network targeting: an analysis of targeting algorithms and implications
Incorporating social factors into disease prevention and control efforts is an important undertaking of behavioral epidemiology. The interplay...
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Unbiased evaluation of ranking algorithms applied to the Chinese green patents citation network
As a phased achievement of technological innovation, patent analysis holds extraordinary research significance. By constructing patent citation...
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On actor-network theory and algorithms: ChatGPT and the new power relationships in the age of AI
This research paper examines the intersection of actor-network theory (ANT) and algorithms in the context of artificial intelligence (AI). ANT is a...
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Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms
The COVID-19 pandemic has had an obliterating impact on the health and well-being of the worldwide populace. It has recently become one of the most...
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Neural network crossover in genetic algorithms using genetic programming
The use of genetic algorithms (GAs) to evolve neural network (NN) weights has risen in popularity in recent years, particularly when used together...
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Cryptanalysis and security evaluation of optimized algorithms for image encryption in deep optimal network
Due to the enhancement of multimedia technology, numerous electronic devices are utilized and the most significant is cryptography which is...
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Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms
Phishing attacks are one of the challenges of the Internet and its users. Phishing attacks are an example of social engineering attacks based on...
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Main Approaches to the Preparation of Visual Data for Training Neural Network Algorithms
Abstract—An analysis of the main approaches used by the developers of neural network algorithms for the preparation of training data and the...
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Comparative Analysis of Routing Algorithms in Opportunistic Network
Opportunistic networks are developed by connecting interfaces for short-range communication. Routing is difficult in this type of Network. The...
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CPU power and network bandwidth-aware optimal block size computation for blockchain-based applications using meta-heuristic algorithms
Block size in a permissioned blockchain system plays a huge role in scalability and performance of system. A large number of blocks are continuously...
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A survey of designing convolutional neural network using evolutionary algorithms
Convolutional neural networks (CNN) are highly effective for image classification and computer vision activities. The accuracy of CNN architecture...
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Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms
Sentiment analysis, a branch of natural language processing (NLP), has gained significant attention for its applications in various domains. This...
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Evolution of blockchain consensus algorithms: a review on the latest milestones of blockchain consensus algorithms
Blockchain technology has gained widespread adoption in recent years due to its ability to enable secure and transparent record-kee** and data...
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Blockchain: An Efficient Network for Optimizing High-Performance Consensus Algorithms
Blockchain technology has gained widespread acceptance across various sectors due to its decentralized, transparent, and secure nature. Central to...
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Improving generative adversarial network with multiple generators by evolutionary algorithms
Generative Adversarial Network (GAN) is a novel class of deep generative models that has recently gained significant attention. However, the original...
