Link prediction accuracy on real-world networks under non-uniform missing-edge patterns. by Xie He, Amir Ghasemian, Eun Lee, Alice C Schwarze, Aaron Clauset, Peter J Mucha

“…To investigate the impact of different missing-edge patterns on link prediction accuracy, we employ 9 link prediction algorithms from 4 different families to analyze 20 different missing-edge patterns that we categorize into 5 groups. …”
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Identification of Papua Cenderawasih Batik Motifs using Local Binary Pattern and K-Nearest Neighbor by Dian Dwi Ariani, Sitti Zuhriyah, Eva Yulia Puspaningrum, Mahabintang Pallawabonang

“…Although batik recognition technology has developed, systems capable of automatically identifying Papua batik motifs are still limited. This research aims to develop a texture recognition system using the Local Binary Pattern (LBP) feature extraction method and K-Nearest Neighbor (KNN) classification. …”
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Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review by Balajee Venkatesh, A Haripriya

“…Despite promising results, further research is needed to address bias and ensure consistent reliability.…”
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Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns by Zeeshan Ali, Jihoon Moon, Saira Gillani, Sitara Afzal, Muazzam Maqsood, Seungmin Rho

“…Numerous clinical methods have been proposed in research to diagnose these disorders; however, a current trend in diagnosis is through human gait patterns. …”
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The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns by Lianne Grin, Sieglinde Bogaert, Saskia Wijnands, Arnold Besselaar, Marieke van der Steen, Jesse Davis, Benedicte Vanwanseele

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Open science practices in demographic research: An appraisal by Ugofilippo Basellini

“…RESULTS: Two contrasting patterns emerge from these indicators. Access to demographic research papers is increasingly available to everyone, with more than 90% of open-access publications in 2023. …”
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Taming TikTok: how BIPOC individuals perceive and interact with algorithmically generated content by Jiarun Dai, Naila Hajiyeva, Sehba Wani, Kayla Booth

“…Future research should expand participant diversity and investigate long-term algorithmic trends to promote inclusive digital spaces. …”
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An improved video watermarking algorithm with extraction using a mobile device camera by O.O. Evsutin, A.S. Melman, D.I. Podbolotov, A.G. Stankevich

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Diagnosis of steam turbine rotor based on improved convolutional neural network algorithm by Zhongtao Zhou, Miao Zhou, Hui Huang, Yanghai Li, Wanbing Xu

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Social Media Users' Expression, Formation Mechanism, and Coping Strategies for Algorithm Aversion by Yan MOU

“…By studying how users perceive, interact with, and respond to algorithmic recommendations and personalizations, researchers can gain insight into the effectiveness and limitations of current algorithmic technologies. …”
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A Federated Learning Algorithm That Combines DCScaffold and Differential Privacy for Load Prediction by Yong Xiao, Xin Jin, Tingzhe Pan, Zhenwei Yu, Li Ding

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Implementation of Apriori Algorithm in Identifying Purchase Relationships at Bluder Cokro Pakuwon Mall by Angeline Ivana, Indra Maryati

“…This study uses the Apriori algorithm to find patterns of association between products, with the goal of determining the scope of correlation between products and frequently co- purchased items. …”
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Leveraging the Louvain algorithm for enhanced group formation and collaboration in online learning environments by Minkyung Lee, Priya Sharma

“…Abstract This study explores the dynamics of student interaction networks within an online asynchronous discussion forum, focusing on both whole group discussions and subgroup interactions distinguished by the Louvain algorithm, a renowned community detection method. Analyzing 2481 posts from 154 undergraduate students across three sections of a communications course centered on discussions about movie clips or social phenomena to enhance media literacy, this research aims to interpret the interaction patterns in these virtual spaces. …”
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Implementation of CNN Algorithm for Indonesian Hoax News Detection on Online News Portals by Clifansi Remi Siwi Hati, Heni Sulistiani

“…The purpose of this research is to apply deep learning with the Convolutional Neural Network (CNN) algorithm in detecting text-based hoax news in Indonesian. …”
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Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…The research employs a Long Short-Term Memory (LSTM)-based predictive model, integrating electrochemical impedance spectroscopy (EIS) data and voltage deviation analyses to identify failure patterns. …”
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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

“…Abstract Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. …”
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Efficient Computation of Collatz Sequence Stopping Times: A Novel Algorithmic Approach by Eyob Solomon Getachew, Beakal Gizachew Assefa

“…By leveraging structural patterns in the Collatz tree, the proposed algorithm minimizes redundant operations and optimizes computational steps. …”
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Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model. by Kanes Sumetpipat, Duangkamon Baowan

“…This research combines mathematical derivation and optimization techniques to investigate the non-covalent encapsulation of chemotherapy drugs (fluorouracil, proflavine, methylene blue, and doxorubicin) within carbon nanotubes, aiming to improve targeted drug delivery in cancer therapy. …”
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Non‐Autoregressive Translation Algorithm Based on LLM Knowledge Distillation in English Corpus by Fang Ju, Weihui Wang

“…ABSTRACT Although significant advancements have been made in the quality of machine translation by large‐scale language models, their high computational costs and resource consumption have hindered their widespread adoption in practical applications. So this research introduces an English corpus‐based machine translation algorithm that leverages knowledge distillation from large language model, with the goal of enhancing translation quality and reducing the computational demands of the model. …”
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Spatial Clusters of Gambling Outlet: A Machine Learning Tree-Based Algorithm by Salvador Martínez-Cava, Fernando A. López, MLuz Maté Sánchez-del-Val

“…The results reveal different spatial patterns regarding the locations of these two types of gambling establishments. …”
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