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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Application of Perfusion Single Photon Emission Computed Tomography of the Myocardium in Pain-Free Myocardial Ischemia by A. I. Abdrahmanova, N. B. Amirov, N. A. Cibulkin

“…Assessing the state of morphofunctional processes in the myocardium is the main goal of diagnostic imaging using singlephoton emission computed tomography of the myocardium. …”
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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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Advancements in Virtual Bioequivalence: A Systematic Review of Computational Methods and Regulatory Perspectives in the Pharmaceutical Industry by Nasser Alotaiq, Doni Dermawan

“…Methods: We conducted a systematic review of clinical trials using computational methods, particularly PBPK modeling, to carry out bioequivalence assessments. …”
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Forgetting phenomena in the Iowa Gambling Task: a new computational model among diverse participants by Tiancheng Yang, Chenghan Xie, Xuehe Wang

“…IntroductionThe Iowa Gambling Task (IGT) is a widely used paradigm for evaluating decision-making and executive functioning, yet existing computational models seldom account for the phenomenon of forgetting, which is critical to understanding dynamic decision processes.MethodsWe developed the Exploitation and Exploration with Forgetting (EEF) model, which integrates a dynamic forgetting parameter (λ) and participants' first-choice priors into a unified reinforcement-learning framework. …”
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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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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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Computational Identification of Milk Trait Regulation Through Transcription Factor Cooperation in Murciano-Granadina Goats by Muhammad Imran Khan, Hendrik Bertram, Armin Otto Schmitt, Faisal Ramzan, Mehmet Gültas

“…These traits are governed by complex biological processes, crucial in shaping phenotypic diversity. …”
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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“…Experimental optimization, computational modeling, machine learning prediction, and multi-criteria decision analysis used for high-performance oil spill adsorbents. …”
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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“…Experimental optimization, computational modeling, machine learning prediction, and multi-criteria decision analysis used for high-performance oil spill adsorbents. …”
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Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification by Tikam Chand Dakal, Caiming Xu, Caiming Xu, Abhishek Kumar, Abhishek Kumar

“…The gut microbiota plays a pivotal role in human health, influencing a wide range of physiological processes. Recent advances in computational tools and artificial intelligence (AI) have revolutionized the study of gut microbiota, enabling the identification of biomarkers that are critical for diagnosing and treating various diseases. …”
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The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses by Daniel J. Lee, Mohammad Hamghalam, Lily Wang, Hui-Ming Lin, Errol Colak, Muhammad Mamdani, Amber L. Simpson, John M. Lee

“…This proof-of-concept study aimed to develop an automated algorithm combining a convolutional neural network (CNN) for sinus segmentation with post-processing to compute LMS directly from CT scans. Results Radiology Information System was queried for outpatient paranasal sinus CTs at a tertiary institution. …”
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Images in Black and White: Disparities in Utilization of Computed Tomography and Ultrasound for Older Adults with Abdominal Pain by Ijeoma C. Unachukwu, Michael N. Adjei-Poku, Olivia C. Sailors, Rachel Gonzales, Eugenia South, Zach Meisel, Rachel R. Kelz, Anne R. Cappola, Ari B. Friedman

“…Our findings highlight the need for further investigations into causes of disparities while initiating quality improvement processes to assess and address site- and clinician-specific patterns of care.…”
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A Robust Image Encryption Protocol for Secure Data Sharing in Brain Computer Interface Applications by Sunil Prajapat, Pankaj Kumar, Kashish Chaudhary, Kranti Kumar, Gyanendra Kumar, Ali Kashif Bashir

“…Brain-computer interface (BCI) technology has emerged as a transformative means to link human neural activity with electronic devices. …”
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Integration of phytochemical profiling and computational approaches to evaluate the neuroprotective potential of Nardostachys jatamansi in Alzheimer's disease by Abdul Jalil Shah, Mohammad Younis Dar, Mohd Adnan, Tanmaykumar Varma, Dhairiya Agarwal, Prabha Garg, Reyaz Hassan Mir, Rampratap Meena, Mubashir Hussain Masoodi

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Computational analysis of congenital heart disease associated SNPs: unveiling their impact on the gene regulatory system by Shikha Vashisht, Costantino Parisi, Cecilia L. Winata

“…Here, we developed a systematic computational pipeline for the identification and analysis of CHD-associated SNPs spanning both coding and noncoding regions of the genome. …”
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Dense Matching with Low Computational Complexity for Disparity Estimation in the Radargrammetric Approach of SAR Intensity Images by Hamid Jannati, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour, Paolo Mazzanti

“…Local methods, while having higher accuracy, especially in low-texture SAR images, require larger kernel sizes, leading to quadratic computational complexity. Conversely, global and semi-global models produce more consistent and higher-quality disparity maps but are computationally more intensive than local methods with small kernels and require more memory (RAM). …”
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An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques by Said Mahfoud, Najib El Ouanjli, Aziz Derouich, Abderrahman El Idrissi, Elmostafa Chetouani, Azeddine Loulijat, Shimaa A. Hussien, Mohamed I. Mosaad

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A Modern Computer Literacy Course from the Point of View of the New Third Age Generation by E. V. Grokhotova, D. A. Barkhatova

“…The involvement of older people in these processes and the need to adapt to a new way of life actualizes the need to study what a modern digital literacy course should be from the point of view of people of the third age, namely, it is necessary to determine their needs for computer training, the experience and resources that they have.Materials and methods. …”
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