Enhancing Support Vector Classification for Diabetes Prediction with Novel Optimization Algorithms of Intelligent Health Services by Debojani Paul Chowdhury, Aditi Paul Chowdhury, Apurba Das, Pinki Pinki

“…Additionally, 3 novel metaheuristic algorithms, Quadratic Interpolation Optimizer (QIO), Tunicate Swarm Algorithm (TSA), and African Vulture Optimization Algorithm (AVOA) were utilized to enhance the SVC’s performance. …”
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Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective by Shirui Yu, Aihua Li, Yifei Chen, Dechao Wang, Xiaoli Tang

“…Among these results, 100 key papers most relevant to heterogeneous network-based algorithms in the biomedical data mining were selected for review. …”
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Continuous genetic algorithm for grasping an object of a priori unknown shape by a robotic manipulator by A. D. Voronkov, S. A.K. Diane

“…Methods associated with machine learning and self-learning technologies may not be suitable for some applications (for example, during rescue operations) when it is necessary to quickly search for the target position of the gripper for an a priori unknown object, about which there is no relevant information in the robot database. Therefore, for this problem, heuristic approaches – for example, genetic algorithms – seem to be applicable. …”
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A Novel Geometric-Descriptor Based Algorithm for Individual-Level Crop Monitoring using UAVs by Y. Goswami, Y. Goswami, N. Ramprasad, S. N. Omkar

“…Consistent, individual-level crop monitoring enhances yields and crop health by providing farmers with relevant insights for each plant, boosting overall productivity and minimizing waste. …”
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Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy by Roberta Papa, Francesco Balducci, Giulia Franceschini, Marco Pompili, Marco De Marco, Josep Roca, Rubèn González-Colom, David Monterde

“…Abstract Background Population-based Health Risk Assessment (HRA) tools are strategic for the implementation of integrated care. Various HRA algorithms have been developed in the last decades worldwide. …”
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Advanced Signal Processing Algorithm-Based State Estimation and Denoising of ECG Signals for Biomedical Applications by Saad Arif, Mohammad Maroof Maroof Siddiqui, Nayef Alqahtani, Kamran Shah, Muhammad Attique Attique Khan, Naoufel Kraiem

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Diagnostic test accuracy of simplified algorithms for diagnosing acute rheumatic fever: a systematic review by Rui Providencia, Ghazaleh Aali, Fang Zhu, Thomas Katairo, Mahmood Ahmad, Jonathan JH Bray, Ferruccio Pelone, Eloi Marijon, Miryan Cassandra, David S. Celermajer, Farhad Shokraneh

“…Methods We assessed the (i) diagnostic accuracy of simplified diagnostic algorithms among children, adolescents, and adults with suspected acute rheumatic fever, and (ii) the impact of different diagnostic criteria on the development of rheumatic heart disease (PROSPERO CRD42022344077). …”
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Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation by Jacopo Amidei, Rubén Nieto, Andreas Kaltenbrunner, Jose Gregorio Ferreira De Sá, Mayte Serrat, Klara Albajes

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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation by Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

“…The performance of the predictive quality algorithms was assessed based on accuracy, precision, recall, and scoring. …”
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Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions by Jianhui Zhang

“…The results show that the accuracy and recall rate of the improved algorithm based on random forest proposed in this study in identifying corporate financial distress are 98.03 % and 100 % respectively. …”
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GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction by Syed Abu Ammar Muhammad Zarif, Layla Kader Suma, Md. Sadat Rahman, Md. Motaharul Islam, Phuoc Hung Pham, Phong Dung Thi Nguyen, Nguyen Thanh Binh

“…However, early predictions would seem futile without efficient scheduling, which is why the article further proposes Global and Local Optimized Preemptive Scheduling (GLOPS), an enhanced metaheuristic scheduling algorithm employing Particle Swarm Optimization and Simulated Annealing. …”
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Measurement of Sea Surface Characteristics from Radar Images Using Gradient Methods by K. Yu. Laptev, N. V. Sokolov, V. N. Mikhailov, M. I. Bogachev, E. N. Vorobev

“…The ability to quickly assess the state of the sea surface is particularly relevant in areas that pose a danger to shipping, where rapid and accurate response becomes critical. …”
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Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election by Mert Can Cakmak, Nitin Agarwal

“…Building on prior research documenting the influential role of symbols in political mobilization and online misinformation, we further assess how symbolic imagery interacts with algorithmic recommendation processes. Our findings underscore that algorithmic biases may inadvertently reinforce echo chambers and limit content diversity, highlighting the need for recommendation systems that balance content relevance with community-specific thematic coherence. …”
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Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities by Xiaojie Ma, Tianchao Miao, Fawen Xie, Jieyu Zhang, Lulu Zheng, Xiang Liu, Hangrui Hai

“…Through a basic long-time mental arithmetic paradigm, we demonstrate that the accompanying algorithm supports offline analysis and is sufficiently versatile for diverse scenarios relevant to the system’s functionality.…”
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Development of algorithm for determination of location of cable line damage using its amplitude-phase coordinate characteristics by A. V. Logunov, Yu. K. Shlyk

“…The development of a new algorithm for solving this problem, which will minimize the time and resources spent on finding damage, is an urgent area of modern research. …”
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Algorithmes de recommandation et culture technique : penser le dialogue entre éducation et design by Arnaud CLAES, Victor WIARD, Heidi MERCENIER, Thibault PHILIPPETTE, Marie DUFRASNE, Arnaud BROWET, Raphaël JUNGERS

“…By combining the results of research in the social sciences and computer sciences, this article examines the relevance of the "filter bubble" theory. Through the analysis of two case studies, one on how young people appropriate recommendation systems and the other on modelling alternative approaches, we will examine how the dialogue between media education and algorithm design can help us rethink our relations with so-called "intelligent" technologies.…”
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Fault Diagnosis of Bearing by Utilizing LWT-SPSR-SVD-Based RVM with Binary Gravitational Search Algorithm by Sheng-wei Fei

“…The fault diagnosis method of bearing based on lifting wavelet transform (LWT)-self-adaptive phase space reconstruction (SPSR)-singular value decomposition (SVD)-based relevance vector machine (RVM) with binary gravitational search algorithm (BGSA) is presented in this study, among which LWT-SPSR-SVD (LSS) is presented for feature extraction of the bearing vibration signal, the dynamic characteristics of lifting wavelet coefficients' (LWCs') reconstructed signals of the bearing vibration signal can be reflected by SPSR for LWCs' reconstructed signals of the bearing vibration signal, and BGSA is used to select the embedding space dimension and time delay of phase space reconstruction (PSR) and kernel parameter of RVM. …”
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Automated metadata transformation in a medical data integration center: Implementation of an algorithm and standardized quality analysis by Bönisch, Caroline

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A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm by Rui Zeng, Yingyan Wang, Wanliang Wang

“…This paper proposes a remote sensing image retrieval algorithm that combines co-occurrence region based Bayesian network image retrieval with average high-frequency signal strength. …”
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Design Optimization of Secondary Element of Single-Sided Linear Induction Motors Using a Genetic Algorithm by V. A. Prakht, V. V. Goman, A. S. Paramonov

“…The article focuses on the use of genetic algorithms for the design of linear induction motors. …”
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