Hybrid Recurrent Neural Network and Decision Tree Scheduling for Energy-Efficient Resource Allocation in Cloud Computing by Sefati Seyed Salar, Vulpe Alexandru, Popovici Eduard, Fratu Octavian

“…Experimental evaluations demonstrate that the hybrid RNN-DT approach outperforms traditional scheduling methods and metaheuristic algorithms, such as Genetic Algorithm and Artificial Bee Colony, in terms of execution time reduction, reliability, and delay minimization.…”
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Optimal control in ecology and environmental protection based on quantum computing by Muhamediyeva D. T., Mamatov N. S., Raupova M. H., Mukhtarova Donata, Kholiyorov Umirzok

“…Optimal control is designed to minimize environmental impact while also minimizing the costs of cleaning up the environment. …”
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Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution by Filippo Palombi, Simona Toti, Romina Filippini

“…While the eigenvectors of Σ are left invariant by the truncation, its eigenvalues are nonuniformly damped. …”
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Robust vector control of SynRM using a three-level NPC inverter by Fahassa Chaymae, Abbou Ahmed, Zahraoui Yassine

“…The first can only provide 8 voltage vectors, including 2 null vectors, while the second one can produce 27 voltage vectors, including 3 null vectors. …”
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Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products by Antonio Galvão Naclério Novaes, Orlando Fontes Lima Jr, Carolina Corrêa de Carvalho, Dmontier Pinheiro Aragão Junior

“…In this application, a refrigerated food delivery route is investigated using a simulated annealing algorithm that considers alternative delivery schemes. …”
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Choosing the Right Metrics: A Study of Performance Measurement for Binary Classification in Imbalanced and Big Data by Mary Anne Walauskis, Taghi M. Khoshgoftaar

“…We analyzed 23 publicly available datasets from diverse domains, ranging in size from 309 to over five million instances and distribution levels from 0.17% to 44.87%, using two gradient boosting algorithms, LightGBM and XGBoost, and one unsupervised anomaly detection algorithm, Isolation Forest. …”
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An Efficient Multiparty Threshold ECDSA Protocol against Malicious Adversaries for Blockchain-Based LLMs by Jing Wang, Xue Yuan, Yingjie Xu, Yudi Zhang

“…To address these requirements, we propose a threshold elliptic curve digital signature algorithm that counters malicious adversaries in environments with three or more participants. …”
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Sustainable Parking Space Management Using Machine Learning and Swarm Theory—The SPARK System by Artur Janowski, Mustafa Hüsrevoğlu, Malgorzata Renigier-Bilozor

“…It enables rapid and precise detection of available parking spaces while ensuring robustness and continuous improvement. …”
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An enhanced Transformer framework with incremental learning for online stock price prediction. by Yiming Qian

“…To ensure that the model retains prior knowledge while integrating new information, a time series elastic weight consolidation (TSEWC) algorithm is introduced to enable efficient incremental training with incoming data. …”
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Model-Based Adaptive Iterative Hard Thresholding Compressive Sensing in Sensor Network for Volcanic Earthquake Detection by Guojin Liu, Qian Zhang, Yuyuan Yang, Zhenzhi Yin, Bin Zhu

“…Secondly, a compressive sensing reconstruction algorithm with theoretical analysis of its error bound is presented. …”
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An integrated model of threshold-based scaling and fractional admission controlling to improve resource utilization efficiency in 5G core networks. by Ly Cuong Hoa, Thanh Chuong Dang, Viet Minh Nhat Vo

“…A threshold-based scaling and fractional admission controlling (TS-FAC) algorithm is developed and implemented in Kubernetes-based Open5GS. …”
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Ontology-based semantic data interestingness using BERT models by Abhilash CB, Kavi Mahesh, Nihar Sanda

“…An improved Apriori algorithm is employed for mining semantic association rules, while the interestingness of the rules is evaluated using BERT models for semantic richness. …”
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Computational Construction of Sequential Efficient Designs for the Second-Order Model by Norah Alshammari, Stelios Georgiou, Stella Stylianou

“…Using Sobol sequences, the algorithm iteratively selects good points, enhancing conditional A-efficiency compared to distance minimization methods. …”
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An Efficient Method for Mining Erasable Itemsets Using Multicore Processor Platform by Bao Huynh, Bay Vo

“…We compared the execution time and memory usage of pMEI to other methods for mining EIs to prove the effectiveness of the proposed algorithm. The experiments show that pMEI is better than MEI in the execution time while the memory usage of both methods is the same.…”
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An automated platform to detect, assess, and quantify deterioration in concrete structures by Ibrahim Odeh, Behrouz Shafei

“…Results showed the platform's capability to detect cracks as narrow as 0.5 mm, while defect dimensions were accurately quantified with errors under 3 %. …”
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The Implementation of Machine Learning in Lithofacies Classification using Multi Well Logs Data by Sudarmaji Saroji*, Ekrar Winata, Putra Pratama Wahyu Hidayat, Suryo Prakoso, Firman Herdiansyah

“…The support vector machine (SVM) algorithm has been applied successfully to the Damar field, Indonesia. …”
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Network security situation assessment based on dual attention mechanism and HHO-ResNeXt by Dongmei Zhao, Guoqing Ji, Shuiguang Zeng

“…The optimal hyperparameters of the model are selected by the Harris Hawks Optimization (HHO) algorithm. The model can accurately obtain the importance of each channel to assign weights to each channel while making full use of the rich contexts among neighbour keys, effectively enhancing the convolutional neural network. …”
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Energy-Efficient Adaptive Routing and Context-Aware Lifetime Maximization in Wireless Sensor Networks by Shaohua Wan

“…We design and implement a Bezier-based multipath routing algorithm that allows a given source node to send samples of data to a given sink node in large scale sensor networks. …”
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Optimal Fault Tolerant Control of Large-Scale Wind Turbines in the Case of the Pitch Actuator Partial Faults by Younes Ait El Maati, Lhoussain El Bahir

“…The aim is to choose a small fault estimation response time while keeping a weak correlation between the tracking error and the wind turbulence noise. …”
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An efficient hybrid framework with knowledge transfer for solving capacitated vehicle routing problems by Yanlin Wu, Yanguang Cai, Chuncheng Fang

“…This study proposes a hybrid framework (HF) that addresses these limitations through four key components: (1) An improved Clarke–Wright savings algorithm for rapid initialization of high-quality solutions, (2) an incremental auxiliary task formulation that optimizes knowledge transfer while minimizing computational overhead, (3) a similarity prediction strategy enabling efficient offspring selection without additional evaluations, and (4) the framework integrates enhanced search strategy and diversity maintenance strategy to prevent premature convergence. …”
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