Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

“…Abstract The exponential increase in publicly available sequencing data and genomic resources necessitates the development of highly efficient methods for data processing and analysis. …”
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Job Vacancy Recommendation System using JACCARD Method On Graph Database by Saiful Riza, Wahyu Fuadi, Yesy Afrillia

“…This study develops a job recommendation system using the Jaccard Coefficient method to measure similarity between users based on their job application history, implemented within a Neo4j graph database. …”
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Multi-Label Feature Selection with Graph-based Ant Colony Optimization and Generalized Jaccard Similarity by Sabah Robitan Mahmood, Tahsin Ali Mohammed Amin, Khalid Hassan Ahmed, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…A new information-theoretical metric is introduced to evaluate the features chosen by each ant. Jaccard generalized similarity coefficient is used to select the most suitable communication target for efficient learning outcomes. …”
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Multimodal Deep Learning for Android Malware Classification by James Arrowsmith, Teo Susnjak, Julian Jang-Jaccard

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The WSN Localization Algorithm Integrating Ranging Correction and Spider Wasp Optimization by YU Xiu-wu, XIAO Lin, LIU Yong, YE Lai

“…The integration of the Jaccard coefficient for hop count accuracy and the application of SWO with chaos mapping-based initialization, adaptive weighting, and Gaussian mutation significantly improves the localization precision and energy efficiency. …”
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Adaptive Fuzzy C-Means with logit boost distributed clustering for cancer detection with protein sequences by K. Thenmozhi, M. Pyingkodi, V. S. Prakash, Kripa Josten, S. Manju Priya, J. Vennila

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HUMAn, a Real-Time Evolutive Patient Model for Major Incident Simulation: Development and Validation Study by Maxence Laurent, Arnaud Jaccard, Laurent Suppan, Elio Erriquez, Xavier Good, Eric Golay, Dominique Jaccard, Mélanie Suppan

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An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models by Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour

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An Efficient Deep Learning-Based Framework for Predicting Cyber Violence in Social Networks by Younes Fayand Fathabad, Mohammad Ali Balafar, Amin Golzari Oskouei, Kamal Koohi

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Efficient Software Development Effort Estimation Approaches for Improving Scalability in the Training Phase by Ho Le Thi Kim Nhung, Petr Silhavy, Radek Silhavy

“…Unlike approaches that depend on randomness or are computationally intensive, CICC uses parallel processing of Jaccard similarity and a refined neighbor-finding technique, K-Reciprocal Nearest Neighbors (KRNN), to identify the most relevant and similar projects as initial centers. …”
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Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation by Haoran Wang, Gengshen Wu, Yi Liu

“…Consequently, EGAUNet demonstrates exemplary segmentation performance on public multi-organ datasets while maintaining high efficiency. For instance, in evaluations on the CHAOS T2SPIR dataset, EGAUNet achieves approximately <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mo>%</mo></mrow></semantics></math></inline-formula> higher performance on the Jaccard metric, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>%</mo></mrow></semantics></math></inline-formula> higher on the Dice metric, and nearly <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3</mn><mo>%</mo></mrow></semantics></math></inline-formula> higher on the precision metric in comparison to advanced networks such as Swin-Unet and TransUnet.…”
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A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition by Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen

“…Based on electroencephalography (EEG), the biomedical signals naturally generated by the brain, this work proposes a resource-efficient multi-entropy fusion method for classifying emotional states. …”
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Assessing Public Transit Network Efficiency and Accessibility in Johor Bahru and Penang, Malaysia: A Data-Driven Approach by Mahbub Hassan, Hridoy Deb Mahin, Ferdoushi Ahmed, Md. Maruf Hassan, Atikur Rahaman, Masuk Abdullah

“…It focuses on evaluating network efficiency, spatial equity, and accessibility within the myBAS Johor and Rapid Bus Penang systems. …”
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The efficiency of AFLP and SSR markers in genetic diversity estimation and gene pool classification of common bean (Phaseolus vulgaris L.) by Marko MARAS, Jelka ŠUŠTAR-VOZLIČ, Branka JAVORNIK, Vladimir MEGLIČ

“…The dendrograms generated with hierarchical UPGMA (Unweighted Pair Group Method with Arithmetic mean) cluster analysis of the Jaccard's similarity coefficient matrices revealed two major clusters, which were identified as the Andean and the Mesoamerican gene pools. …”
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A Resource-Efficient 3D U-Net for Hippocampus Segmentation Using CLAHE and SCE-3DWT Techniques by Faizaan Fazal Khan, Jun-Hyung Kim, Chun-Su Park, Ji-In Kim, Goo-Rak Kwon

“…The model achieved a Dice coefficient of 0.8838 and a Jaccard Index of 0.7920, surpassing recent state-of-the-art methods. …”
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A Comparison of Artificial Intelligence and Human Observation in the Assessment of Cattle Handling and Slaughter by Lily Edwards-Callaway, Huey Yi Loh, Carina Kautsky, Paxton Sullivan

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Multiple Criteria Decision-Making Based on Vector Similarity Measures under the Framework of Dual Hesitant Fuzzy Sets by Juan Luis García Guirao, M. Sarwar Sindhu, Tabasam Rashid, Agha Kashif

“…The Cosine, Dice, and Jaccard are the vector similarity measures. The present work enclosed the modified Jaccard and Dice similarity measures. …”
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An In-depth Analysis of Rendered Models using Blender : A Research Result by Oluwafunmilayo Raheem, Bourdillon Omijeh, Chinagorom Ibeachu

“…This platform encompasses various features, including virtual dissection, quizzes, a chat forum, and direct messaging, transforming it into a virtual dissection classroom. To evaluate the efficiency of the virtual reality system we compared the web application with other existing web applications using parameters such as Accuracy, Precision, Jaccard index, Dice co-efficient, Processing time, and user rating. …”
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Improved deep learning for automatic localisation and segmentation of rectal cancer on T2‐weighted MRI by Zaixian Zhang, Junqi Han, Weina Ji, Henan Lou, Zhiming Li, Yabin Hu, Mingjia Wang, Baozhu Qi, Shunli Liu

“…Results The AttSEResUNet with post‐processing showed perfect lesion recognition rate (100%) and false recognition rate (0), and its evaluation metrics outperformed other three models for two independent readers (observer 1: DSC = 0.839 ± 0.112, HD = 9.55 ± 6.68, MDA = 0.556 ± 0.722, Jaccard index = 0.736 ± 0.150; observer 2: DSC = 0.856 ± 0.099, HD = 11.0 ± 10.1, MDA = 0.789 ± 1.07, Jaccard index = 0.673 ± 0.130). …”
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Optimizing colorectal cancer segmentation with MobileViT-UNet and multi-criteria decision analysis by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Manob Jyoti Saikia

“…Specifically, it achieved a Dice ratio of 0.944 ± 0.030 and a Jaccard index of 0.897 ± 0.049, with precision at 0.955 ± 0.046 and Recall at 0.939 ± 0.038 across all classes. …”
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