Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks by Faisal Hameed, Hoda Alkhzaimi

“…These findings validate genetic algorithms as a robust alternative for optimizing side-channel attack models, offering both scalability and consistent performance across diverse attack scenarios while advancing the state of cryptographic security assessment.…”
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Proposed Approach to Increase the Reliability of Wireless Sensor Networks through Dijkstra’s Algorithm by Jasim Abd Hashim Yaqin, Talib Hasson Saad

“…Implementing Dijkstra’s algorithm enables WSNs to operate more efficiently and effectively, meeting energy conservation requirements while ensuring smooth long-term operation.…”
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A Biased Median Filtering Algorithm for Segmentation of Intestinal Cell Gland Images by Hai-Shan Wu, Joan Gil

“…While segmentation of individual cells are generally based on the dissimilarities in intensities, textures, and shapes between cell regions and background, the proposed segmentation algorithm of intestine cell glands is based on the differences in cell distributions. …”
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A combined algorithm for tunnel personnel localization based on error areal division by Jian Xu, Haiying Wang, Yiqing Ren, Yingzhi Zhang

“…The simulation results show that the average positioning errors of the combined localization algorithm were reduced by 5.56% and 44.76% when compared with those of the quadrilateral centroid localization and maximum likelihood estimation algorithms, respectively, while the maximum positioning error was reduced by 46.45% and 42.81%, respectively.…”
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Leveraging Historical Archives with Artificial Intelligence algorithms for the Digital Reconstruction of Architectural Heritage by Francesca Condorelli

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A Heuristic Motion Planning Algorithm for a Mobile Robot With Nonholonomic Constraints by Duc Thien Tran, Duc Huy Pham, Quang Chien Nguyen

“…This paper proposes a heuristic motion planning algorithm to enhance optimal path determination and tracking for a differential drive mobile robot within a global environment. …”
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Dynamic and adaptive multi-path routing algorithm based on software-defined network by Wu Jiawei, Qiao Xiuquan, Nan Guoshun

“…Moreover, our proposed algorithm can significantly reduce the computational overhead of the controller while completing a fine-grained flow balance. …”
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A Generalized Algorithm for the Simulation of Multi-evaporator Variable Refrigerant Flow Systems by Zhu Yonghua, Jin Xinqiao, Fu Sijie, Fang Xing, Du Zhimin

“…A generalized algorithm called ALG-I as well as a companion algorithm called ALG-II, for simulation of variable refrigerant flow (VRF) systems were proposed. …”
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Zero-Error Frequency Regulation Control Method for Microgrids Based on Consensus Algorithm by Yue WANG, Guohua YANG, Jiayi ZHUANG, Huan PAN, Yuqi ZOU, Shijun HAN

“…Through the consistency algorithm, the micro-power source in the micro-grid obtains the self-adjusting amount of the droop coefficient to achieve no static difference in the frequency of the micro-grid, while ensuring that the active power shares the load according to the rated capacity. …”
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An Energy Distribution and Optimization Algorithm in Wireless Sensor Networks for Maritime Search and Rescue by Huafeng Wu, Qiannan Zhang, Su Nie, Wei Sun, Xinping Guan

“…Currently, maritime search and rescue (MSR) is mainly depending on the search party, while the searching objects are waiting passively. …”
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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm by Wu Yanhong

“…The iterative process of genetic algorithms preserves high fitness pathways while generating new ones. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…In contrast, the order of influence of axial grinding force is n, ae, vw and ap, while the total grinding force is most affected by vw, in the order of vw, ae, n and ap. …”
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Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy by CHEN Baoguo, CHEN Lei, DENG Ming, LI Xiaoyan, CHEN Jinlin

“…The processing time of non-incremental algorithms on 8 datasets is 4215.13 seconds, while the processing time of incremental algorithms on 8 datasets is only 55.38 seconds. …”
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Public perception of accuracy-fairness trade-offs in algorithmic decisions in the United States. by Mehdi Mourali, Dallas Novakowski, Ruth Pogacar, Neil Brigden

“…The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model's inputs. …”
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A weight clustering algorithm based on sliding window model for stream data by Jiashun Chen, Jianjing Chen, Zhaoman Zhong

“…Extensive experiments are conducted on diverse datasets to validate the algorithm’s effectiveness. Results on static datasets reveal that while the algorithm struggles with precise clustering, it achieves low runtime and misclassification rates. …”
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FedCVG: a two-stage robust federated learning optimization algorithm by Runze Zhang, Yang Zhang, Yating Zhao, Bin Jia, Wenjuan Lian

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Optimization Planning Techniques with Meta-Heuristic Algorithms in IoT: Performance and QoS Evaluation by İsa Avcı, Murat Koca

“…In addition, we made a fair comparison of the employed algorithms by evaluating their performance through Quality of Service (QoS) while each algorithm proposed a contribution. …”
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A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…To address this issue, we propose a novel pedestrian detection algorithm with multisource face images, which involves a face recognition algorithm based on the conjugate orthonormalized partial least-squares regression analysis under a complex lighting environment. …”
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An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm by Aushim Koumar, Tine Tysmans, Rajan Filomeno Coelho, Niels De Temmerman

“…Compared to other optimisation methods, genetic algorithms are more robust and efficient when dealing with multiobjective optimisation problems and provide a better view of the search space while reducing the chance to be stuck in a local minimum. …”
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Performance of Machine Learning Algorithms on Imbalanced Sentiment Datasets Without Balancing Techniques by Dina Wulan Yekti rahayu, Khothibul Umam, Maya Rini Handayani

“…This study explores the performance of five sentiment classification algorithms—Naïve Bayes, Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest—on an imbalanced sentiment dataset, with the SMOTE technique applied as a comparison. …”
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