MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets by Jared Lichtarge, Gerarda Cappuccio, Gerarda Cappuccio, Soumya Pati, Soumya Pati, Alfred Kwabena Dei-Ampeh, Alfred Kwabena Dei-Ampeh, Senghong Sing, Senghong Sing, Senghong Sing, LiHua Ma, Zhandong Liu, Zhandong Liu, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic

“…This method is designed to reduce the dimensionality of large datasets while preserving significant variance. For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.ResultsThe MetaboLINK analysis of longitudinal metabolomics data has revealed distinct pathways related to amino acids, lipids, and energy metabolism, uniquely associated with specific cell progenies. …”
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LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n by Qi Cao, Hang Chen, Shang Wang, Yongqiang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

“…Additionally, a reused and shared convolutional detection (RSCD) head is designed using a weight sharing mechanism. …”
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APPLICATION OF QUADRATIC PROGRAMMING ON PORTFOLIO OPTIMIZATION USING WOLFE’S METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM by Syaripuddin Syaripuddin, Fidia Deny Tisna Amijaya, Wasono Wasono, Shanaz Tulzahrah, Rara Suciati

“…Based on the result, using Wolfe’s method, the ASII and ITMG stock portfolios are obtained, namely the optimal proportion of ASII shares = 0.76401 or 76.401% and ITMG shares = 0.23598 or 23.598%, while the PSO algorithm obtains a portfolio of ASII and ITMG shares, namely ASII shares = 75.02% and ITMG shares = 24.98%. …”
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EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…The network uses the EfficientNet structure for feature extraction, while the training and validation process utilizes the PyTorch Lightning framework. …”
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Optimising islanded AC microgrid control: A hierarchical approach with FCS-VMPC and consensus algorithm by Zawar Khan, Muhammad Aamir, Rizwanullah Khan, Mohd Fairouz Mohd Yousof

“…The primary layer is typically implemented using a linear controller, while the secondary control relies on complex control strategies. …”
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Zero trust anonymous access algorithm for multi cloud storage system based on CP-ABE by Jun Tian

“…Experimental results demonstrate that the proposed algorithm significantly improves encryption/decryption efficiency while reducing storage overhead and enhancing data-sharing security compared to conventional approaches.…”
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Lower and Upper Quartiles Enhanced Round Robin Algorithm for Scheduling of Outlier Tasks in Cloud Computing by Muneer Abdullah Saeed Al-Mekhlafi, Nashwan Nagi Saleh Al-Marbe

“…Cloud computing is one of the top emerging technologies with huge market and enterprise potential as it provides on-demand, -based access to large-scale shared computing resources. Task scheduling is one of the most important issues in cloud computing in order to enhance performance and resource utilization while minimizing costs. …”
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BSVA: blockchain-enabled secured vertical aggregation algorithm for transactions management in drug traceability framework by P. Bhuvaneshwari, Y. Harold Robinson, M. Bagya Lakshmi

“…The paper proposes a novel Blockchain-enabled Secured Vertical Aggregation Algorithm (BSVA) by leveraging the Hyperledger model. …”
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Enhancing Youbike Redistribution System: A Study on Station Recommendation Using a Genetic Algorithm by Yang-Chou Juan, Yi-Chung Chen, Wei-Ting Chen, Chieh Yang, Chia-Tzu Liu, Yi-Ci Hou, Yi-Hsuan Tsai

“…A random forest model selected key crowd grid factors as input variables for a long short-term memory (LSTM) prediction model to accurately predict demand patterns, including during special events or weather changes. A genetic algorithm then determined optimal station configurations and provided return station recommendations, considering user destinations and station dock ratios, while minimizing manual redistribution. …”
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Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding by Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI

“…This approach utilizes the spectral features of the random Laplacian matrix from the task’s heterogeneous graph as global features, enhancing the GNN’s ability to extract shared problem features while downplaying individual characteristics. …”
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Optimal sizing of hybrid renewable energy systems relying on the black winged kite algorithm for performance evaluation by Sarada Mohapatra, Deepa Kaliyaperumal, T. Porselvi, S. V. Tresa Sangeetha, Roobaea Alroobaea, Ahmed Emara

“…To validate the performance, the BKA algorithm is compared against four prominent intelligence algorithms, including Harris Hawks Optimisation (HHO), Sine Cosine Algorithm (SCA), White Shark Optimisation (WSO), Arithmetic Optimisation Algorithm (AOA), and Snake Optimiser (SO). …”
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A Low-Complexity Resource Allocation Algorithm for MIMO-OFDMA Multicast Systems with Spectrum-Guarantee Provisioning by Ioannis G. Fraimis, Stavros A. Kotsopoulos

“…We study the important problem of resource allocation for the downlink of Multiple-Input Multiple output (MIMO) Multicast Wireless Systems operating over frequency-selective channels and we propose a low-complexity but efficient resource allocation algorithm for MIMO-enabled OFDMA systems. The proposed solution guarantees a minimum spectrum share for each user while also takes advantage of the multicast transmission mode. …”
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Q-LME: Q-learning-based local mutual exclusion algorithm for flying ad hoc networks by Sindhuja S, Mary Anita Rajam V

“…Q-LME employs a token-based LME algorithm with a Q-learning-based leader selection mechanism (QLS). …”
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GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

“…The CBAM attention mechanism is added to the model to improve the extraction of subtle features of lesions in complex environments. Cross-scale shared convolution parameters and separated batch normalization techniques are used to optimize the detection head, achieving a lightweight design and improving the detection efficiency of the algorithm. …”
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PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

“…Finally, a new head layer P2-SLD was designed, which replaced the original detection head with a shared lightweight detection head SLD, introduced the P2 layer and removed the P5 layer, which improved the lightweight level of the model, improved the processing efficiency and reduced the energy consumption while ensuring the detection accuracy. …”
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Grid Active Power Support Using Green DC Microgrid Based on Super Twisting Control Algorithm by El Qouarti Ouassima, Nasser Tamou, Essadki Ahmed

“…In this paper, we investigate the second order sliding mode controller, particularly the super-twisting algorithm in order to give active power support to the grid, while the three-phase inverter is controlled to ensure adequate power sharing, DC voltage regulation and unity power factor. …”
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A Systematic Literature Review on Machine Learning Algorithms for the Detection of Social Media Fake News in Africa by Joshua Ebere Chukwuere, Tlhalitshi Volition Montshiwa

“…While the mediums of information and content shared across social media platforms are hard for users to authenticate, if users are tracking fake information or fake content, it can harm individuals, society, or the world. …”
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Model-Free Predictive Control Based on RLS Algorithm for Grid-Forming Inverters With Virtual Synchronous Generator by Min Huang, Huiying Zhang, Kangan Wang, Zhilei Yao, Weimin Wu

“…Building on this, the improvement schemes of algorithmic parameter initialization, delay compensation and current limiting capability are further investigated. …”
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LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads by Pei Tang, Zhenyu Ding, Minnan Jiang, Weikai Xu, Mao Lv

“…After a series of improvements, LBT-YOLO outperforms YOLOv8n and other detection algorithms on the Autonomous Driving BDD100K dataset, with an average accuracy improvement of 2.4% while reducing the number of model parameters by 48.2%.…”
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Synergetic simplified super-twisting algorithm control for stability enhancement of PV/BESS-based DC microgrid by Naamane Debdouche, Ali Chebabhi, Habib Benbouhenni, Fatma-Zohra Hadjaidji, Z. M. S. Elbarbary, Saad F. Al-Gahtani

“…It ensures the desired voltage level at the common DC bus while tailoring energy allocation to meet load requirements. …”
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