Výsledky vyhledávání - (processors OR processes)(—compilers OR —computers) general terms algorithms

Dung beetle optimizer: a new meta-heuristic algorithm for global optimization Autor Xue, Jiankai, Shen, Bo

“…In this paper, a novel population-based technique called dung beetle optimizer (DBO) algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and reproduction behaviors of dung beetles…”
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Investigating the performance of Hadoop and Spark platforms on machine learning algorithms Autor Mostafaeipour, Ali, Jahangard Rafsanjani, Amir, Ahmadi, Mohammad, Arockia Dhanraj, Joshuva

“… In this paper, Hadoop and Spark frameworks, the big data processing platforms, are evaluated and compared in terms of runtime, memory and network usage, and central processor efficiency…”
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A CNN-BiLSTM model with attention mechanism for earthquake prediction Autor Kavianpour, Parisa, Kavianpour, Mohammadreza, Jahani, Ehsan, Ramezani, Amin

“…Earthquakes, as natural phenomena, have consistently caused damage and loss of human life throughout history. Earthquake prediction is an essential aspect of…”
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An innovative neural network approach for stock market prediction Autor Pang, Xiongwen, Zhou, Yanqiang, Wang, Pan, Lin, Weiwei, Chang, Victor

“… To study the influence of market characteristics on stock prices, traditional neural network algorithms may incorrectly predict the stock market, since the initial weight of the random selection…”
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A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems Autor Goldanloo, Mina Javanmard, Gharehchopogh, Farhad Soleimanian

“…The metaheuristic optimization algorithms are relatively new optimization algorithms introduced to solve optimization problems in recent years…”
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Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning Autor Abdelkhalek, Ahmed, Mashaly, Maggie

“…Network intrusion detection systems (NIDS) are the most common tool used to detect malicious attacks on a network. They help prevent the ever-increasing…”
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A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks Autor Alarifi, Abdulaziz, Tolba, Amr, Al-Makhadmeh, Zafer, Said, Wael

“… However, the high error rates in these studies can reduce the entire system’s efficiency. We introduce a novel big data and machine learning technique for evaluating sentiment analysis processes to overcome this problem…”
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Bidirectional LSTM-RNN-based hybrid deep learning frameworks for univariate time series classification Autor Khan, Mehak, Wang, Hongzhi, Riaz, Adnan, Elfatyany, Aya, Karim, Sajida

“… Due to the rapid increase in temporal data in a wide range of disciplines, an incredible amount of algorithms have been proposed…”
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Lotus effect optimization algorithm (LEA): a lotus nature-inspired algorithm for engineering design optimization Autor Dalirinia, Elham, Jalali, Mehrdad, Yaghoobi, Mahdi, Tabatabaee, Hamid

“…Here we introduce a new evolutionary algorithm called the Lotus Effect Algorithm, which combines efficient operators from the dragonfly algorithm, such as the movement of dragonflies in flower…”
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Localization of sensor nodes in wireless sensor networks using bat optimization algorithm with enhanced exploration and exploitation characteristics Autor Mohar, Satinder Singh, Goyal, Sonia, Kaur, Ranjit

“… In this paper, two variants of bat optimization algorithm (BOA) are proposed to localize the sensor nodes in a more efficient way and to overcome the drawbacks of original BOA, i.e…”
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Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches Autor Guo, Aiping, Jiang, Ajuan, Lin, Jie, Li, Xiaoxiao

“… This paper utilizes two algorithms to deal with the massive data, namely Kohonen neural network and long short-term memory (LSTM) neural network…”
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A survey on computation offloading and service placement in fog computing-based IoT Autor Gasmi, Kaouther, Dilek, Selma, Tosun, Suleyman, Ozdemir, Suat

“… Thus, computation offloading and service placement mechanisms can overcome the resource constraints of IoT devices, and improve the system performance in terms of increasing battery lifetime of UE…”
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Elite learning Harris hawks optimizer for multi-objective task scheduling in cloud computing Autor Amer, Dina A., Attiya, Gamal, Zeidan, Ibrahim, Nasr, Aida A.

“… To achieve a high performance for cloud resources, an effective scheduling algorithm is necessary to distribute jobs among available resources in such a way that maintain the system balance and user…”
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GSAGA: A hybrid algorithm for task scheduling in cloud infrastructure Autor Pirozmand, Poria, Javadpour, Amir, Nazarian, Hamideh, Pinto, Pedro, Mirkamali, Seyedsaeid, Ja’fari, Forough

“… Multiple solutions have been proposed with several algorithms…”
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Enhancing session-based trip recommendations using matrix factorization: a study on algorithm efficiency and resource utilization: Enhancing session-based trip recommendations using Autor Mat, Abdullah Uğur, Saran, Ayşe Nurdan

“… This includes examining the effects of resource utilization and recurrent neural network (RNN) algorithms on session-based factorization, as well as evaluating the influence…”
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Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization Autor Shehab, Mohammad, Khader, Ahamad Tajudin, Laouchedi, Makhlouf, Alomari, Osama Ahmad

“…The cuckoo search algorithm (CSA) is a promising metaheuristic algorithm for solving numerous problems in different fields…”
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An efficient resource allocation of IoT requests in hybrid fog–cloud environment Autor Afzali, Mahboubeh, Mohammad Vali Samani, Amin, Naji, Hamid Reza

“…The Internet of things (IoT) paradigm has emerged to connect the number of devices using the Internet resulting in the deployment of smart cities. Cloud…”
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An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems Autor Mohmmadzadeh, Hekmat, Gharehchopogh, Farhad Soleimanian

“… Feature selection methods and feature reduction in a dataset must consider the accuracy of the classifying algorithms…”
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A hybrid bi-objective scheduling algorithm for execution of scientific workflows on cloud platforms with execution time and reliability approach Autor Asghari Alaie, Yeganeh, Hosseini Shirvani, Mirsaeid, Rahmani, Amir Masoud

“… Workflow scheduling algorithms have drastic impacts on the objectives that stakeholders in the system expect…”
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An improved PBFT consensus algorithm based on reputation and gaming: An improved PBFT consensus algorithm Autor Li, Zhe, Wang, Jinsong, Li, Yi

“… Consensus algorithms are the cornerstone of its security and accuracy. However, there are still security problems and performance bottlenecks associated with blockchain…”
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