A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring by Maribel Anaya, Diego A. Tibaduiza, Francesc Pozo

“…Among all the aspects that are linked to a structural health monitoring (SHM) system, algorithms, strategies, or methods for damage detection are currently playing an important role in improving the operational reliability of critical structures in several industrial sectors. …”
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Robot Differential Drive Navigation Through Probabilistic Roadmap and Pure Pursuit by Maram Ali, Saptarshi Das, Stuart Townley

“…While being limited to static environments, the research provides a foundational approach for developing more resilient autonomous robotic systems, setting the stage for future navigation algorithm advancements.…”
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A Decision-Making Framework for University Student Sports Study Psychological Healthy Evaluation with 2-Tuple Linguistic Neutrosophic Numbers by Xiaoping Yang, Wensheng Shi

“…The results show that the built algorithms method is really useful for university student sports study psychological healthy evaluation.…”
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Response Time Analysis With Cause-Effect Chain Considering DAG Structure and High-Load Tasks by Tomoya Kobayashi, Ryo Okamura, Takuya Azumi

“…The evaluation results show that the proposed algorithm consistently indicates higher acceptance rates than existing algorithms. …”
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Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022 by Matti Kummu, Maria Kosonen, Sina Masoumzadeh Sayyar

“…Downscaling with machine learning algorithms showed high performance (R2 = 0.79 for cross-validation, R2 = 0.80 for the test dataset) and accuracy against reported datasets (Pearson R = 0.88). …”
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Identification of the Immune Cell Infiltration Landscape in Head and Neck Squamous Cell Carcinoma (HNSC) for the Exploration of Immunotherapy and Prognosis by Chunli Huang, Jifeng Liu

“…In this work, we proposed computational algorithms to identify different immune subtypes. An analysis of the Cancer Genome Atlas (TCGA) database revealed gene expression profiles and corresponding clinical information. …”
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Analysis Of Themes and Trends in Life Sciences and Biomedical Research Virtual Reality by Supriadi Sahibu, Mulawarman Munsyir, Hamdan Gani, Imran Taufik, Akbar Iskandar

“…The purpose of this study was to investigate the theme of the abstract, the theme of the Title on Virtual Reality in the Sciences and Biomedical Sciences and to investigate the trends of authors and countries who are major contributors to research on virtual reality in the sciences and biomedical sciences, the researchers used metadata from 497 journals. scientifically indexed with topic modeling algorithms. The results of the study found that for virtual reality themes listed in the abstracts of science and biomedical fields, the words that often appear were study and systems related to pediatric surgery, stroke and cancer. …”
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Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review by Abhishek Sachan, Mickaël Castro, Jean-François Feller

“…A focus will be made on the protocols for the collection of organic volatile compounds (VOC) from the body, the choice of vapour sensors assembled into an array (e-nose), in particular, chemo-resistive vapour sensors, their principle, fabrication and characteristics, and the way to extract pertinent features and analyse them with suitable algorithms that are able to find and produce a health diagnosis.…”
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Improving Vector Evaluated Particle Swarm Optimisation Using Multiple Nondominated Leaders by Kian Sheng Lim, Salinda Buyamin, Anita Ahmad, Mohd Ibrahim Shapiai, Faradila Naim, Marizan Mubin, Dong Hwa Kim

“…The vector evaluated particle swarm optimisation (VEPSO) algorithm was previously improved by incorporating nondominated solutions for solving multiobjective optimisation problems. …”
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Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients by Aboul ella Hassanien, Mohamed E. Abdelhafez, Hala S. Own

“…A comparison between the obtained results using rough sets with decision tree, neural networks, and statistical discriminate analysis classifier algorithms has been made. Rough sets show a higher overall accuracy rates and generate more compact rules.…”
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An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas by S. J. Sugumar, R. Jayaparvathy

“…The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. A GSM message is sent to the forest officials indicating that an elephant has been detected in the forest border and is approaching human habitat. …”
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Joints Parameters Identification in Numerical Modeling of Structural Dynamics by Yuedong Yang, Jiqing Chen, Fengchong Lan, Fei Xiong, Zicong Zeng

“…In present work, multiobjective optimization algorithms are used to identify joints parameters by approaching actual test results in each series of structure to decrease unreliable or error for numerical modeling. …”
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Interferometric Dynamic Measurement: Techniques Based on High-Speed Imaging or a Single Photodetector by Yu Fu, Giancarlo Pedrini, Xide Li

“…For the camera-based interferometry, the discussion includes the introduction of the carrier, the processing of the recorded images, the phase extraction algorithms in various domains, and how to increase the temporal measurement range by using multiwavelength techniques. …”
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Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions by Katarzyna Pentoś, Krzysztof Pieczarka, Krzysztof Lejman

“…To this end, the performances of soft computing approaches, including neural networks, genetic algorithms, and adaptive network fuzzy inference system, were evaluated. …”
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Causal discovery and fault diagnosis based on mixed data types for system reliability modeling by Xiaokang Wang, Siqi Jiang, Xinghan Li, Mozhu Wang

“…However, due to limitations in existing frameworks regarding model representations and learning algorithms, only a few studies have explored causal discovery on non-Euclidean data. …”
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Optimizing Pinned Nodes to Maximize the Convergence Rate of Multiagent Systems with Digraph Topologies by Yujuan Han, Wenlian Lu, Tianping Chen, Changkai Sun

“…In the case of sufficiently large pinning strength, by the similar method, a metric based on the smallest real part of eigenvalues of the Laplacian submatrix corresponding to the unpinned nodes is used to measure the stabilizability of the pinned node set. Different algorithms that are applicable for different scenarios are develped. …”
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Generation of Smoke Dataset for Power Equipment and Study of Image Semantic Segmentation by Rong Chang, Zhengxiong Mao, Jian Hu, Haicheng Bai, Anning Pan, Yang Yang, Shan Gao

“…This paper addresses the problems of limited smoke data, difficult labeling, and insufficient research on recognition algorithms in power systems. We propose using three-dimensional virtual technology to generate smoke and image masks and using environmental backgrounds such as HDR (high dynamic range imaging) lighting to realistically combine smoke and background. …”
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Research on Coal-Rock Fracture Image Edge Detection Based on Tikhonov Regularization and Fractional Order Differential Operator by Chunsheng Liu, Chunping Ren

“…Aiming at the conventional image edge detection algorithm, the first-order differential edge detection method is easy to lose the image details and the second-order differential edge detection method is more sensitive to noise. …”
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Prediction of Rooftop Photovoltaic Solar Potential Using Machine Learning by K. Mukilan, K. Thaiyalnayaki, Yagya Dutta Dwivedi, J. Samson Isaac, Amarjeet Poonia, Arvind Sharma, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, B. B. Subramanian, Adane Kassa

“…The availability of data at unprecedented levels of granularity allows for the development of data-driven algorithms to improve the estimation of solar energy generation and production. …”
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An Efficient Approach for Web Indexing of Big Data through Hyperlinks in Web Crawling by R. Suganya Devi, D. Manjula, R. K. Siddharth

“…Today, there exist various algorithms and software which are used to crawl links from the web which has to be further processed for future use, thereby increasing the overload of the analyser. …”
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