Application of Smart Condensed H-Adsorption Nanocomposites in Batteries: Energy Storage Systems and DFT Computations by Fatemeh Mollaamin, Majid Monajjemi

“…A comprehensive investigation of hydrogen grabbing towards the formation of hetero-clusters of AlGaN–H, Si–AlGaN–H, Ge–AlGaN–H, Pd–AlGaN–H, and Pt–AlGaN–H was carried out using DFT computations at the CAM–B3LYP–D3/6-311+G (d,p) level of theory. …”
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Development of A Holistic Assessment Instrument Based on Computer Based Test on Environmental Pollution Learning by Dini Rosdiane Rusdiyanto, Bibin Rubini, Irvan Permana

“…This study aims to develop a holistic assessment instrument based on Computer Based Test (CBT) that meets the criteria of good assessment in the context of learning Environmental Pollution in Junior High School, especially grade VII. …”
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Harnessing advanced computational approaches to design novel antimicrobial peptides against intracellular bacterial infections by Yanpeng Fang, Duoyang Fan, Bin Feng, Yingli Zhu, Ruyan Xie, Xiaorong Tan, Qianhui Liu, Jie Dong, Wenbin Zeng

“…This study presents a novel computational framework for efficiently screening candidate peptides against these infections. …”
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Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals by Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Anne-Mei Bessas

“…Artifact removal in electroencephalography (EEG) is a longstanding challenge that significantly impacts neuroscientific analysis and brain–computer interface (BCI) performance. Tackling this problem demands advanced algorithms, extensive noisy-clean training data, and thorough evaluation strategies. …”
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A mental state aware brain computer interface for adaptive control of electric powered wheelchair by Syed Abu Huraira Hussain, Imran Raza, Syed Asad Hussain, Muhammad Hasan Jamal, Tauseef Gulrez, Ali Zia

“…Abstract Brain-computer interfaces (BCI) provide a mobility solution for patients with various disabilities. …”
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Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling by Yiteng Zhang, Jianfeng Feng, Bin Min

“…Together, our results provide a rigorous theoretical framework linking network connectivity, neural dynamics, and selection mechanisms, paving the way towards elucidating the circuit mechanisms when studying individual variability in context-dependent computation.…”
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Monte Carlo Simulation for Polychromatic X-Ray Fluorescence Computed Tomography with Sheet-Beam Geometry by Shanghai Jiang, Peng He, Luzhen Deng, Mianyi Chen, Biao Wei

“…X-ray fluorescence computed tomography (XFCT) based on sheet beam can save a huge amount of time to obtain a whole set of projections using synchrotron. …”
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Outlier Detection in VPN Authentication Logs for Corporate Computer Networks Access using CRISP-DM by Nilo Legowo, Wilyu Mahendra Bad

“…A Virtual Private Network (VPN) serves as a critical network access solution widely employed by corporations, enabling users to connect to company computer networks via a global infrastructure. Amid the ongoing Covid-19 pandemic, heightened reliance on computer network access has increased the vulnerability to data breaches by unauthorized parties. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…An increasing number of tasks now demand data processing directly at the source, which limits the available computational resources. …”
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Analyzing the effects of computer-assisted dynamic assessment on L2 writing tasks for Chinese learners by Sun Wei, Yousun Shin

“…The IDA group received standardized computer-mediated prompts (Mediational Moves), while the HDA group combined computer-mediated prompts with instructor-led, personalized mediation. …”
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Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT by Fahim Sufi

“…This integration advances computational news classification and exemplifies how sophisticated mathematical frameworks enhance large-scale text data analysis, marking a pivotal advancement in applying advanced computational methods in real-world scenarios.…”
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Optimization of thermal conductivity in coir fibre-reinforced PVC composites using advanced computational techniques by Saksham Anand, Venkatachalam Gopalan, Shenbaga Velu Pitchumani

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High Quality Dynamic Occlusion Computational Ghost Imaging Guided Through Conditional Diffusion Model by Minze Liang, Enkui Zhang, Xinyi Zheng, Huixing Yang, Liyu Zhang, Xuan Liu, Yongli Zhang

“…High-quality imaging under low sampling is the key to the practical application of computational ghost imaging, and significant progress has been made. …”
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Grapevine inflorescence segmentation and flower estimation based on Computer Vision techniques for early yield assessment by Germano Moreira, Filipe Neves dos Santos, Mário Cunha

“…The findings underscore the potential for Computer Vision technology to enhance vineyard management practices, leading to better resource allocation and improved crop quality.…”
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Evaluation of the morphology of pterygoid hamulus using cone beam computed tomography: A retrospective study by K. Smrithy Sivadas, Vidya Ajila, Shruthi Hegde, Yashika Jain

“…Introduction: The pterygoid hamulus develops from the medial lamella of the pterygoid process. Understanding the architecture of the pterygoid Hamulus is crucial in terms of image interpretation as well as to diagnose idiopathic pain of the oral cavity and pharynx. …”
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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

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The role of computed and magnetic resonance imaging in assessment of the local advancement of malignant tumors of the hearing organ by E. G. Khazarova, E. L. Dronova

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Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. by Anna Cichonska, Balaguru Ravikumar, Elina Parri, Sanna Timonen, Tapio Pahikkala, Antti Airola, Krister Wennerberg, Juho Rousu, Tero Aittokallio

“…Due to relatively high costs and labor required for experimental profiling of the full target space of chemical compounds, various machine learning models have been proposed as cost-effective means to advance this process in terms of predicting the most potent compound-target interactions for subsequent verification. …”
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Design Optimization of a Marine Propeller Shaft for Enhanced Fatigue Life: An Integrated Computational Approach by Víctor Tuninetti, Diego Martínez, Sunny Narayan, Brahim Menacer, Angelo Oñate

“…This study investigates the design and potential failure modes of a marine propeller shaft using computational and analytical methods. The aim is to assess the structural integrity of the existing design and propose modifications for improved reliability and service life. …”
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CONTRAST-ENHANCED COMPUTED TOMOGRAPHIC CHOLANGIOGRAPHY IN DIFFERENTIAL DIAGNOSIS OF THE MALIGNANT AND BENIGN CAUSES OF BILIARY OBSTRUCTION by V. V. Zarubin, A. P. Kurazhov, V. D. Zavadovskaja, O. V. Rodionova, O. S. Tonkikh, I. Yu. Klinovitskiy, M. A. Zorkaltsev, V. I. Haritonkin

“…In the world literature, there are few reports on the assessment of the diagnostic potential of multispiral computed tomography under conditions of direct contrasting of the biliary tree using endoscopic retrograde cholangiopancreatography, percutaneous transhepatic cholangiography, or through pre-installed palliative drainage in the bile ducts. …”
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