Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks by Liao Wenxing, Wu Muqing, Wu Yuewei

“…Based on the novel architecture of software-defined wireless sensor networks and the concept of multi-energy-space, we give a detailed introduction of the main idea of our multi-energy-space-based energy-efficient algorithm. …”
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Identification of telomere maintenance related biomarkers and regulatory mechanisms in chronic obstructive pulmonary disease by machine learning algorithm by Haiyan Cao, Xiangjian Chu

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Polynomial Phase Signal Denoising via Sparse Representations Over a SMAF-Based Dictionary Learning Algorithm by Guojian Ou, Chenping Zeng, Jiaqiang Dong, Die Han

“…Our approach is based on sparse representation using a trained dictionary, which is obtained through the secondary moving average filtering (SMAF) dictionary learning algorithm. The proposed algorithm consists of two main steps: first, we utilize K-SVD or other dictionary learning algorithms to obtain the initial trained dictionary; second, we apply the SMAF method to modify the dictionary atoms, enabling them to behave more smoothly and effectively reducing the noise present in the atomic structures. …”
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Developing algorithms for estimating total suspended solids (TSS) using unmanned aerial vehicle: A case study in the Upper Citarum River, Indonesia by Fajar Setiawan, Tyas Mutiara Basuki, Budi Heru Santosa, Irfan Budi Pramono, Galdita Aruba Chulafak, Aldiano Rahmadya, Firda Maftukhakh Hilmya Nada

“…The study aimed to develop algorithms to estimate TSS using data derived from UAVs and field measurements. …”
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Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study by Cyrielle Brossard, Christophe Goetz, Pierre Catoire, Lauriane Cipolat, Christophe Guyeux, Cédric Gil Jardine, Mahuna Akplogan, Laure Abensur Vuillaume

“…It seems interesting to be able to predict the admissions of patients in the ED. Aim The main objective of this study was to build and test a prediction tool for ED admissions using artificial intelligence. …”
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Optimal adaptive heuristic algorithm based energy optimization with flexible loads using demand response in smart grid. by Hisham Alghamdi, Lyu-Guang Hua, Ghulam Hafeez, Sadia Murawwat, Imen Bouazzi, Baheej Alghamdi

“…MATLAB is used to do a load scheduling simulation for home appliances based on the OAWDO algorithm. By contrasting it with other algorithms, including the genetic algorithm (GA), the whale optimization algorithm (WOA), the fire-fly optimization algorithm (FFOA), and the wind-driven optimization (WDO) algorithms, the effectiveness of the OAWDO technique is supported. …”
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Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms by Sawsan Akram Hassan, Mahir M. Hason, Ammar N. Hanoon, Ali A. Abdulhameed

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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Abstract The tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms. Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex problems under the influence of multiple parameters, typically for how tribological performances and material properties correlate. …”
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Applications of Recent Metaheuristic Algorithms for Loss Reduction in Distribution Power Systems considering Maximum Penetration of Photovoltaic Units by Le Duy Luan Nguyen, Phuc Khai Nguyen, Viet Cuong Vo, Ngoc Dieu Vo, Thang Trung Nguyen, Tan Minh Phan

“…Photovoltaic units (PVUs) are placed optimally by implementing the Coot optimization algorithm (COOA), the archimedes optimization algorithm (AOA), the transient search optimization algorithm (TSOA), the crystal structure algorithm (CrSA), the war strategy optimization algorithm (WSA), and the average and subtraction-based optimizer (ASBO). …”
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OptiBench: An Optical Distance Measurement Test Bench Using Adaptive Algorithm With Sensor Fusion and Environmental Shielding by Kanchana Chathurangi Ahangama, Hemali Pasqual, Chinthaka Premachandra, H. Waruna Haripriya Premachandra

“…Optical Distance Measurement (ODM) systems have a wide range of applications in many sectors, including industrial, aerospace, and telecommunication. …”
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Evaluating the kidney disease progression using a comprehensive patient profiling algorithm: A hybrid clustering approach. by Mohammad A Al-Mamun, Ki Jin Jeun, Todd Brothers, Ernest O Asare, Khaled Shawwa, Imtiaz Ahmed

“…Thus, we aimed to develop a patient profiling algorithm to identify clinical phenotypes from AKI to CKD progression.…”
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A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm by Fadhil Abbas Fadhil, Farah Tawfiq Abdul Hussien, Teba Walaa Aldeen Khairi, Nikolai Safiullin

“…Algorithms and automated detection methods commonly struggle to locate hidden text in video frames. …”
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Flexible manipulator trajectory tracking based on an improved adaptive particle swarm optimization algorithm with fuzzy PD control by W. Sun, Y. Jin, K. Dai, Z. Guo, F. Ma

“…Simulation results demonstrated that the optimization algorithm significantly enhances efficiency. Specifically, the number of iterations required for the two joints was reduced by 33 % and 54 %, respectively, when compared to the original algorithm. …”
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Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection by Karim Gasmi, Abdulrahman Alyami, Omer Hamid, Mohamed O. Altaieb, Osama Rezk Shahin, Lassaad Ben Ammar, Hassen Chouaib, Abdulaziz Shehab

“…The models were integrated using an adaptive weight selection process informed by the Cuckoo Search optimization algorithm. The procedure commences with the pre-processing of neuroimaging data to guarantee quality and uniformity. …”
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Performance improvement of extreme multi-label classification using K-way tree construction with parallel clustering algorithm by Purvi Prajapati, Amit Thakkar

“…eXtreme Multi-Label Classification (XMLC) is the particular case of Multi-Label Classification, which deals with an extremely high number of labels. The main goal is to learn extreme classifier which extracts the subset of relevant labels from extremely large label space. …”
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Robust adaptive non‐linear alignment algorithm for SINS/DVL integrated navigation system based on variational Bayesian by Bing Zhu, Jingshu Li, Guoheng Cui, Zuohu Li, Ge Tian, Xia Guo

“…The proposed VBRAUKF improves the adaptability and robustness of UKF from the following two main aspects. Firstly, an adaptive estimation strategy for the measurement noise covariance is designed based on the VB algorithm, which can restrain the effect of inaccurate observation model and improve the adaptive ability of the filtering method. …”
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Incorporating echo state network and sand cat swarm optimization algorithm based on quantum for named entity recognition by Fang Huang, Baocheng Wang, Jafar Safarzadeh

“…Additionally, the neural network was optimized utilizing the quantum-based sand cat swarm optimization algorithm. Eventually, CRF was employed to produce the predicted sequence of labels. …”
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A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm by Jie Zhao, Minhua Zhu, Ling Xia, Yifeng Fan, Feng Liu

“…Abstract In Magnetic Resonance Imaging (MRI), achieving a highly uniform main magnetic field (B0) is essential for producing detailed images of human anatomy. …”
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Evaluation of Global-Scale and Local-Scale Optimized Segmentation Algorithms in GEOBIA With SAM on Land Use and Land Cover by Tao He, Jianyu Chen, Linchong Kang, Qiankun Zhu

“…However, obtaining outstanding segmentation results in all scenarios proves challenging with a single algorithm. This study investigates seven segmentation algorithms: mean shift (MF), O Sistema de Processamento de informações georreferenciadas (the geographic information and image processing system) (SPRING), Estimation of scale parameter 2 (ESP2) (three global-scale algorithms), image object detection approach (IODA), SA, edge-guided image object detection approach (EIODA) (three local-scale optimization algorithms), and segment anything model (SAM) (deep learning). …”
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Ultra-Broadband, Fabrication Tolerant Optical Coupler for Arbitrary Splitting Ratio Using Particle Swarm Optimization Algorithm by Lemeng Leng, Minfeng Jin, Zhongzhi Lin, Chenbin Zhang, Ding Ding, Wei Jiang

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