CloseRead: a tool for assessing assembly errors in immunoglobulin loci applied to vertebrate long-read genome assemblies by Yixin Zhu, Corey Watson, Yana Safonova, Matt Pennell, Anton Bankevich

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Enabling efficient sizing of hybrid power plants: a surrogate-based approach to energy management system modeling by C. Assaad, J. P. M. Leon, J. Quick, T. Göçmen, S. Ghazouani, K. Das

“…However, due to the computational burden of such models, sizing methodologies often resort to low-fidelity EMS models, leading to faulty sizing evaluations. …”
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Post-variational classical quantum transfer learning for binary classification by Kavitha Yogaraj, Brian Quanz, Tarun Vikas, Arijit Mondal, Samrat Mondal

“…The modified observable variant reaches 85% accuracy for Deepfake dataset with lower computational cost. To evaluate generalizability, we tested PVCQTL on three additional binary classification datasets, observing improved accuracy on each. …”
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Fusion Text Representations to Enhance Contextual Meaning in Sentiment Classification by Komang Wahyu Trisna, Jinjie Huang, Hengyu Liang, Eddy Muntina Dharma

“…During the classification stage, we employ biGRU, considering the use of fewer parameters, which consequently reduces computational requirements. We evaluate the proposed model using the IMDB dataset. …”
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Improving Weakly-Supervised Video Instance Segmentation by Leveraging Spatio-Temporal Consistency by Farnoosh Arefi, Amir M. Mansourian, Shohreh Kasaei

“…These enhancements are computationally efficient and straightforward, offering significant performance gains without additional annotated data. …”
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Comparison of CNN-Based Architectures for Detection of Different Object Classes by Nataliya Bilous, Vladyslav Malko, Marcus Frohme, Alina Nechyporenko

“…The main metrics for comparison were mAP, Precision, Recall, F1-Score, and the ability of the neural network to work in real-time. (3) Results: The most important metrics for evaluating the efficiency and performance of models for a given task are accuracy (mAP), F1-Score, and processing speed (FPS). …”
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Underwater image enhancement using hybrid transformers and evolutionary particle swarm optimization by Ajay Kumar, Gagandeep Berar, Manmohan Sharma, Sakshi, Ajit Noonia, Gunjan Verma

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Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring by Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi

“…Moreover, although it is more computationally complex, it efficiently combines higher quality with faster summarization. …”
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Junction temperature prediction Model Development with Co-simulation by Mustafa Ozden, Gokhan Ozkan, S M Imrat Rahman, Elutunji Buraimoh, Laxman Timilsina, Behnaz Papari, Christopher S. Edrington

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In Silico Mining of NPACT Database Toward Identification of EBNA1 Inhibitor: Virtual Screening, Molecular Dynamics Simulations, and DFT Calculations by Mahmoud A. A. Ibrahim, Alaa M. A. Hassan, Alaa H. M. Abdelrahman, Gamal A. H. Mekhemer, Peter A. Sidhom, Shaban R. M. Sayed, Ashraf M. M. Abdelbacki, Mohamed-Elamir F. Hegazy

“…To find potent EBNA1 inhibitors, the Naturally Occurring Plant-based Anticancer Compound-Activity-Target (NPACT) database, including > 1500 compounds, was filtered utilizing computational approaches. The efficiency of the docking technique used to anticipate the inhibitor–EBNA1 binding pose was initially evaluated based on obtainable experimental data. …”
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Subtractive and Additive Technologies in Fixed Dental Restoration: A Systematic Review by Rafal Kareem Rasheed, Nidhal Sahib Mansoor, Nihad Hasan Mohammed, Syed Saad B Qasim

“…Dentistry has adopted a number of digital technologies, including CAD/CAM (computer-aided design and manufacturing) systems. The goal of the current study is to evaluate the current state of knowledge on dental alloy manufacturing using subtractive and additive techniques for metal ceramic restoration. …”
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Mission Re-Planning of Reusable Launch Vehicles Under Throttling Fault in the Recovery Flight Based on Controllable Set Analysis and a Deep Neural Network by Keshu Li, Wanqing Zhang, Han Yuan, Jing Zhou, Ying Ma

“…Based on the CS, the physical feasibility of a power landing problem under deviations from the nominal conditions can be evaluated probabilistically. Besides, a deep neural network (DNN) is constructed to enhance the computational efficiency of the CS analysis, thereby meeting the requirements for online applications. …”
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Cognitive control of behavior and hippocampal information processing without medial prefrontal cortex by Eun Hye Park, Kally C O'Reilly Sparks, Griffin Grubbs, David Taborga, Kyndall Nicholas, Armaan S Ahmed, Natalie Ruiz-Péreza, Natalie Kim, Simon Segura-Carrillo, André A Fenton

“…Here, we test whether rat mPFC lesion impairs the active place avoidance task to evaluate two competing hypotheses, a ‘central-computation’ hypothesis that the mPFC is essential for the computations required for cognitive control and an alternative ‘local-computation’ hypothesis that other brain areas can perform the computations required for cognitive control, independent of mPFC. …”
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eHealth literacy assessment as a promoter of user adherence in using digital health systems and services. A case study for balance physiotherapy in the TeleRehaB DSS project by Konstantinos Georgas, Konstantinos Bromis, Theodoros P. Vagenas, Olympia Giannakopoulou, Nikolaos Vasileiou, Ioannis Kouris, Maria Haritou, George K. Matsopoulos

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MDGCN: Multiple Graph Convolutional Network Based on the Differential Calculation for Passenger Flow Forecasting in Urban Rail Transit by Chenxi Wang, Huizhen Zhang, Shuilin Yao, Wenlong Yu, Ming Ye

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Received signal strength–based localization for large space indoor environments by Xingwang Wang, Xiaohui Wei, Yuanyuan Liu, Shang Gao

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Vehicle speed measurement technologies in Intelligent Transportation Systems: current status, challenges and future directions by Zhili Chen, Fang Guo, Longmei Luo

“…This paper delves into the principles and technologies behind traditional speed measurement systems such as inductive loop detectors, wireless radar, LiDAR, and the Global Positioning System, alongside computer vision-based speed measurement. It examines the evolution of computer vision, reviews common datasets, and explores the feasibility of using cameras for direct speed measurement. …”
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Eisenstein Series Identities Involving the Borweins' Cubic Theta Functions by Ernest X. W. Xia, Olivia X. M. Yao

“…As applications, we evaluate some convolution sums. These evaluations are different from the formulas given by Alaca et al.…”
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Recognition of Sheep Feeding Behavior in Sheepfolds Using Fusion Spectrogram Depth Features and Acoustic Features by Youxin Yu, Wenbo Zhu, Xiaoli Ma, Jialei Du, Yu Liu, Linhui Gan, Xiaoping An, Honghui Li, Buyu Wang, Xueliang Fu

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Novel distance-fitness learning scheme for ameliorating metaheuristic optimization by Emre Çelik, Essam H. Houssein, Mahmoud Abdel-Salam, Diego Oliva, Ghanshyam G. Tejani, Nihat Öztürk, Sunil Kumar Sharma, Mohammed Baljon

“…Empirical results from solving 23 standard benchmark functions, 10 Congresses on Evolutionary Computation (CEC) 2020 test functions, and 2 real-world engineering problems reveal that DFL boosts the capability of RSA significantly. …”
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