Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…Dimensionality reduction was performed with SVD (Singular Value Decomposition) to reduce the feature set by keeping only the most pertinent data. …”
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Resilience-Improving Based Optimization of Post-Disaster Emergency Maintenance Strategy for Transmission Networks by Haiping LIANG, Haoyan SHI, Yan WANG, Yingpei LIU, Xinming WANG

“…Extreme natural disasters and other events are likely to cause large-scale failures of the transmission networks. …”
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Developing and integrating a destination decision support algorithm into an innovative electronic communication platform to improve injury care service coordination in Rwanda: the... by Antonio Belli, Justine Davies, Lucia D'Ambruoso, Jean Marie Uwitonze, Sudha Jayaraman, Abebe Bekele, Agnieszka Ignatowicz, Aurore Nishimwe, Jean Claude Byiringiro, Laura Quinn, Barnabas Tobi Alayande, Jean Nepomuscene Sindikubwabo, Didier Hagumimana, Fabien Hagenimana, Gilbert Rukundo, Ephrem Daniel Sheferaw, Oda Munyura, Rob Rickard, Philbert Muhire, Irene Bagahirwa, Jeanne d’Arc Nyinawankusi, Collins Inkotanyi, Assuman Nuhu

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Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm by Shuxin Wang, Bingruo Xu, Yejun Zheng, Yinggao Yue, Mengji Xiong

“…When dealing with large-scale data or high-dimensional optimization challenges, the BKA algorithm entails significant computational expenses, which might lead to excessive memory usage or prolonged running durations. …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…In the first phase of this paper, uncertainty parameters like day‐ahead power from renewable energy sources (RES) and load demand (LD) are forecasted using the long short‐term memory (LSTM) deep learning algorithm. …”
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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management by M. Sivaramkrishnan, Jaganathan Subramani, Mohammad Mukhtar Alam, Liew Tze Hui

“…Therefore, development of new SOC estimation method with DL for safe renewable energy management (REM) framework for Hybrid EV (Electric vehicles) is the prime focus of this paper is developed as DLSOC-REM. …”
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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm by Amir Mohammad Haddadi, Hodjat Hamidi

“…This framework can assist an organization in making more strategic and data-driven decisions to enhance both performance and profitability while securing improved customer satisfaction and long-term loyalty. …”
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Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…This paper explores the integration of Electric Vehicle (EV) parking lots into power distribution networks (DNs) and proposes a quantum-based optimization framework to enhance grid performance. …”
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Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance by Ziyuan Zhong, Junyang Zhou

“…The algorithm partitions data in a self-supervised learning-generated way, which allows the model to learn from the training set to understand the data distribution and thereby divides training set and test set into N different subareas. …”
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Transient Stability Analysis of Wind-Integrated Power Systems via a Kuramoto-like Model Incorporating Node Importance by Min Cheng, Jiawei Yu, Mingkang Wu, Yayao Zhang, Yihua Zhu, Yuanfu Zhu

“…Time-domain simulations validate the accuracy of the method, with the relative error of fault removal time estimation controlled within 10%. …”
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Resilient math inspired EDA optimized fuzzy adaptive exponent controller for LFC improvement of an EV integrated microgrid by Prakash Chandra Sahu, Buddhadeva Sahoo, Sarat Chandra Swain, Ghanshyam G. Tejani, David Bassir

“…The Fuzzy PI-DÆ parameters are selected in optimum by incorporating an advanced Math inspired-Exponential distribution algorithm (Mi-EDA) in different operations. …”
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The authors would like to thank the staff of the Organisation of Transportation and Transport Management Department by B. S. Trofimov, I. S. Trofimova

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GC-Like LDPC Code Construction and its NN-Aided Decoder Implementation by Yu-Lun Hsu, Li-Wei Liu, Yen-Chin Liao, Hsie-Chia Chang

“…The trade-off between decoding performance and hardware costs has been a long-standing challenge in Low-Density Parity Check (LDPC) decoding. …”
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Drug-Induced Sarcoid-like Reactions Associated to Targeted Therapies and Biologic Agents by Federica Andolfi, Luca Caffarri, Matilde Neviani, Silvia Rubini, Dario Andrisani, Filippo Gozzi, Bianca Beghé, Enrico Clini, Roberto Tonelli, Stefania Cerri

“…Management should be individualized, as most DISRs either resolve spontaneously or improve after the discontinuation of the causative drug. …”
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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

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Solvability of the System of Extended Nonlinear Mixed Variational-Like Inequalities and Proximal Dynamical System by Iqbal Ahmad, Mijanur Rahaman

“…Furthermore, we also study the proximal dynamical system for SENMVLI and prove that the trajectory of the solution of the extended proximal dynamical system converges globally exponentially to a unique solution of SENMVLI. …”
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Chosen-Prefix Collisions on AES-like Hashing by Shiyao Chen, Xiaoyang Dong, Jian Guo, Tianyu Zhang

“…Instead of the message modification technique developed for MD-SHA family, we opt for related-key rebound attack to construct collisions for AES-like hashing in view of its effectiveness. …”
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Snake-shaped robot design and path planning algorithm by Zhao Guang-hui, Cheng Wan-sheng

“…Abstract Serpentine robots have broad application prospects in civilian, military, and other fields. However, recent developments in serpentine robot design, recent developments in snake-like robot design, mostly based on traditional algorithms, face several challenges in path planning and mapping. …”
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Reliable selfish node detection algorithm for opportunistic networks by Zhi REN, Yong-yin TAN, Ji-bi LI, Qian-bin CHEN

“…To address the problem of detection accuracy affected by situations like the omission of node receiving wrong frame and failure of monitoring beyond nodes'communication range during the consideration of the ex ing selfish node detection algorithms in opportunistic networks,a novel and reliable selfish node detection algorithm——RSND algorithm for opportunistic networks was proposed.It employs wrong frame analysis based on cross-layer monitoring mechanism,information excavation based on node encounter and node distance estimation based on RSSI three new mechanisms to eliminate the influence of node's selfishness detection due to wrong frame and failure of monitoring beyond nodes' communication range,improving the reliability of detection.Theoretical analysis verifies the effectiveness of RSND,and simulation results show that RSND can improve selfish node detection accuracy ratio and network throughput at least 6% and 4%,as compared to the existing selfish node detection algorithm based on 2-ACK and watchdog detection algorithm.…”
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Composing dynamic programming tree-decomposition-based algorithms by Julien Baste

“…We show that if there exist dynamic programming tree-decomposition-based algorithms for recognizing the graph classes $\mathcal{H}_i$, for each $i$, then we can constructively create a dynamic programming tree-decomposition-based algorithms for $\mathsf{GraphPart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell,p)$, $\mathsf{VertPart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell)$, and $\mathsf{EdgePart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell)$. …”
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