Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing by Enas Al-khlifeh, Ahmad S. Tarawneh, Khalid Almohammadi, Malek Alrashidi, Ramadan Hassanat, Ahmad B. Hassanat

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Development of an ISOBUS-compliant communication node for multiple machine vision systems on wide boom sprayers for nozzle control in spot application schemes by Mozammel Bin Motalab, Ahmad Al-Mallahi, Alex Martynenko, Karama Al-Tamimi, Dimitrios S. Paraforos

“…The MVN consists of an electronic control unit (ECU) built around a single-board computer, equipped with a 2-channel CAN hat and an Ethernet router. …”
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Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models by Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, Yuehu Liu

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Human Strategy Learning-Based Multi-Agent Deep Reinforcement Learning for Online Team Sports Game by Seongbeen Lee, Gyuhyuk Lee, Wongyeom Kim, Junoh Kim, Jisun Park, Kyungeun Cho

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sORFdb – a database for sORFs, small proteins, and small protein families in bacteria by Julian M. Hahnfeld, Oliver Schwengers, Lukas Jelonek, Sonja Diedrich, Franz Cemič, Alexander Goesmann

“…All sORFdb data is freely accessible via https://sorfdb.computational.bio .…”
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Optimal Information Hiding: Advanced Bitstream-Based Watermarking for Secure and Efficient Integration of Image Data in Digital Videos by null Ramyashree, Venugopala P. S., Raghavendra S., null Sarojadevi

“…In order to assess the quality of the bitstream video watermarking technique, the peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and normalized correlation coefficient (NCC) are computed and examined by the testing data. The suggested model achieved a PSNR value up to 32.52 dB, SSIM value up to 0.97, and NCC value is 1. …”
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Representing and Quantifying Conformational Changes of Kinases and Phosphatases Using the TSR-Based Algorithm by Tarikul I. Milon, Krishna Rauniyar, Sara Furman, Khairum H. Orthi, Yingchun Wang, Vijay Raghavan, Wu Xu

“…In conclusion, this study presents an advanced computational methodology with significant advantages in not only representing and quantifying conformational changes of protein structures but also having the capability of directly linking protein structures to their functions.…”
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A graph neural network approach for hierarchical mapping of breast cancer protein communities by Xiao Zhang, Qian Liu

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Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

“…Compared with other deep learning models, the proposed DMseg-Count model can detect wheat spike image in challenging situations, and has better computer vision processing capabilities and performance evaluation detection effect. …”
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Structural Performance of Reinforced Concrete Beams with Steel Fibres as Secondary Reinforcement: Experimental and Pre-peak Numerical Modelling by Hadjer Belkadi, Abdelkrim Bourzam, Messaoud Saidani

“…Challenges in modelling steel fibres include their discrete nature and computational demands due to intricate meshing and convergence issues. …”
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A Low-Complexity Diversity-Preserving Universal Bit-Flipping Enhanced Hard Decision Decoder for Arbitrary Linear Codes by Praveen Sai Bere, Mohammed Zafar Ali Khan, Lajos Hanzo

“…By contrast, soft-decision decoding retains diversity order, albeit at the cost of increased computational complexity. We introduce a novel enhanced hard-decision decoder termed as the Diversity Flip decoder (DFD) designed for preserving the diversity order. …”
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Implications of Implementing Promulgated and Prospective Emission Regulations on Air Quality and Health in India during 2030 by Sreyashi Debnath, Rama Krishna Karumuri, Gaurav Govardhan, Rajmal Jat, Himadri Saini, Akash Vispute, Santosh H. Kulkarni, Chinmay Jena, Rajesh Kumar, D. M. Chate, Sachin D. Ghude

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Rutting Caused by Grouser Wheel of Planetary Rover in Single-Wheel Testbed: LiDAR Topographic Scanning and Analysis by Keisuke Takehana, Vinicius Emanoel Ares, Shreya Santra, Kentaro Uno, Eric Rohmer, Kazuya Yoshida

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Multiscale modelling of hepatitis B virus at cell level of organization by Huguette Laure Wamba Makeng, Ivric Valaire Yatat-Djeumen, Bothwell Maregere, Rendani Netshikweta, Jean Jules Tewa, Winston Garira

“…The resulting multiple scales model is bidirectionally coupled in such a way that the within-cell scale and between-cell scale sub-models mutually affect each other, creating a reciprocal relationship. The computed reproductive number from the multiscale model confirms that the within-host scale and the between-host scale influence each other in a reciprocal manner. …”
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A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

“…To overcome these issues, we introduced a new privacy framework, which is an improvement of the existing shadowing scheme. We proposed a computationally efficient group leader selection process based on centeredness, rule obeyed, and OBU resources, reducing overhead by 20%, integrating FL with DP to preserve data privacy without sacrificing utility, and achieving a 15% improvement in location accuracy under privacy constraints, validating the scalability and robustness of the framework through extensive simulations involving up to 300 vehicles. …”
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Markers of Anemia in Children with Type 1 Diabetes by Ewa Rusak, Anna Rotarska-Mizera, Piotr Adamczyk, Bogdan Mazur, Joanna Polanska, Agata Chobot

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The left amygdala is genetically sexually-dimorphic: multi-omics analysis of structural MRI volumes by Yuanyuan Gui, Geyu Zhou, Shuya Cui, Hongyu Li, Hui Lu, Hongyu Zhao

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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

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Predicting deamidation and isomerization sites in therapeutic antibodies using structure-based in silico approaches by David Hoffmann, Joschka Bauer, Markus Kossner, Andrew Henry, Anne R. Karow-Zwick, Giuseppe Licari

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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

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