Suchergebnisse - (processors OR processes)—compilers general terms algorithms

Dung beetle optimizer: a new meta-heuristic algorithm for global optimization von 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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Enhancing session-based trip recommendations using matrix factorization: a study on algorithm efficiency and resource utilization: Enhancing session-based trip recommendations using von 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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An improved PBFT consensus algorithm based on reputation and gaming: An improved PBFT consensus algorithm von 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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A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems von 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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A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks von 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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A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction: A comprehensive benchmark of machine von Tolun, Ömer Can, Zor, Kasım, Tutsoy, Onder

“… The current difficulties faced by evolutionary smart grids, as well as the widespread electric vehicles (EVs) into the modernised electric power system, …”
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An innovative neural network approach for stock market prediction von 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 CNN-BiLSTM model with attention mechanism for earthquake prediction von 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 adaptive local search-based arithmetic optimization algorithm for unmanned aerial vehicle placement: An adaptive local search-based von Emami, Hojjat

“… ) algorithm for UAV placement. The incentive mechanism of LSAO is enhancing the search dynamics by embedding an adaptive switching probability, a chaotic local search, and an opposition-based learning strategy into the standard AO algorithm …”
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Fast and efficient hardware architecture of Chebyshev polynomials algorithm for resisting to side channel attacks: Fast and efficient hardware architecture von Madani, Bachir, Azzaz, Mohamed salah, Sadoudi, Said, Kaibou, Redouane

“… This work aims to develop a fast and reliable algorithm for computing Chebyshev polynomials and proposes a reconfigurable FPGA-based architecture for its implementation …”
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New algorithms for fully homomorphic matrix addition and multiplication: New algorithms for fully homomorphic matrix von Ci, Shang, Wang, Yihan, Hu, Sen, Guan, Donghai, Koç, Çetin Kaya

“… ). Our algorithms improve both Halevi and Shoup and JKLS algorithms in terms of arithmetic and data …”
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Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning von 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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Investigating the performance of Hadoop and Spark platforms on machine learning algorithms von 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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Multi-objective task scheduling algorithm for load balancing in cloud computing based on improved Harris hawks optimization: Multi-objective task scheduling algorithm for load von Emara, Farouk A., Gad-Elrab, Ahmed A. A., Sobhi, Ahmed, Alsharkawy, Almohammady S., Embabi, Mahmoud E., El-Baky, M. A. Abd

“… Among these well-known techniques is the Harris hawks optimization (HHO) algorithm. However, most of these approaches failed to consider limitations of HHO, which will have an impact on the task scheduling process …”
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Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches von 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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Cs-pbft: a comprehensive scoring-based Practical Byzantine Fault Tolerance consensus algorithm: CS-PBFT: a comprehensive scoring-based Practical Byzantine Fault von Liang, Bo, Yuan, Fujiang, Deng, Jiaru, Wu, Qi, Gao, Jie

“… Practical Byzantine Fault Tolerance (PBFT) is one of the most important consensus algorithms in distributed systems, which can effectively respond to the threat of malicious nodes …”
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Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization von 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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Integrating deep learning with branch-and-bound algorithm for enhanced solution of hydrogen distribution: Integrating deep learning with branch-and-bound algorithm von Abibou, Soukayna, El Bourakadi, Dounia, Yahyaouy, Ali, Gualous, Hamid

“… While exact methods like the branch-and-bound (B&B) algorithm offer robust solutions, their computational …”
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A deep reinforcement learning-based task offloading algorithm for cell-free architecture CFMADRL: co-optimization of delay-energy-sensitive tasks: A deep reinforcement learning-based task-offloading algorithm von Li, Keke, Wu, Xiaochun, Liu, Jiali, Lou, Yichao, Qi, Mingjun

“… To enhance user experience and extend devices’ battery life, this paper proposes a multi-agent deep reinforcement learning-based task-offloading algorithm, referred to as cell-free multi-agent deep reinforcement learning (CFMADRL …”
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An efficient algorithm to find a shorter fault-tolerant path in cycle composition networks: An efficient algorithm to find a shorter fault-tolerant von Tang, Yaqian, Yin, Bai, Cheng, Baolei, Wang, Yan, Yu, Jia, Fan, Jianxi

“… This paper studies fault-tolerant path of CCNs, designs corresponding construction algorithms, proves the correctness of the algorithms, analyzes the performance of the algorithm, and conducts …”
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