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| Vol 15, No 4 (2024): BRAIN. Broad Research in Artificial Intelligence and Neuroscience, Vol. 15, Issue 4 (December, 2024) |
Artificial Intelligence in Urology: New Technologies with Major Potential
(Paper ID: 1643)
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Abstract
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Bogdan Novac, Radu Zara, Alin Ciobica |
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| Vol 16, No 4 (2025): BRAIN. Broad Research in Artificial Intelligence and Neuroscience | Vol. 16, Issue 4 |
Retrospective Histopathological Aspects in the Recurrence of Bladder Tumours Following TUR-B: Insights into Progression and Regression Patterns, Computational Aspects and the Relevance of AI
(Paper ID: 1930)
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Abstract
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Bogdan Novac, Alin Ciobica, Radu Zara, Ion Chiriac, Marcel Agachi, Otilia Novac |
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| Vol 16, No 1 (2025): BRAIN (2025) Vol. 16, Issue 1 |
The Role of Artificial Intelligence in Bariatric Surgery: Perspectives and Modern Applications
(Paper ID: 1664)
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Abstract
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Ancuta Andreea Miler, Mălina Visternicu, Viorica Rarinca, Carmen Stadoleanu, Alin Ciobica, Mădălina Maxim, Mihaela Toader, Daniel Vasile Timofte, Anton Knieling |
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| Vol 15, No 3 (2024): BRAIN. Broad Research in Artificial Intelligence and Neuroscience |
CGAN Facilitated Data Augmentation of Voice and Speech Parameters for Detecting Parkinson's Disease in the Prodromal Phase
(Paper ID: 1599)
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Abstract
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Sandhya Chandrabhanu, Shanmugam Hemalatha |
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| Vol 17, No 2 (2026): BRAIN - Volume 17, Issue 2 (June 2026) |
Clinical Assessment Methods for Early Autism Spectrum Disorder in Paediatrics Using Explainable Artificial Intelligence and Quantum Machine Learning
(Paper ID: 2035)
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Abstract
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Hangman Game
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Priya Shanthini D.R, Vasu Koduri, Naveen Maddukuri, M Kalpana Chowdary, Bini Darwin, Shajin Prince |
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| Vol 15, No 3 (2024): BRAIN. Broad Research in Artificial Intelligence and Neuroscience |
Deep Learning for Financial News Analysis and Stock Price Prediction: A Case Study of TCS
(Paper ID: 1594)
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Abstract
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Bijesh Dhyani, Sanjay Taneja, Chandra Prakash, Rajesh Tiwari, Ercan Özen |
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| Vol 16, No 2 (2025): Volume 16, Issue 2 |
Unravelling the Power of Sentiment: How Emotions Shape Online Engagement in Public Health Discourse
(Paper ID: 1814)
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Abstract
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Soufien Jaffali, Nesrine Khelifi |
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| Vol 16, No 1 Sup1 (2025): Special Issue 1 - Neuroscience, Artificial Intelligence, and Innovation in Education, April 2025 |
Performance Assessment of Neural Networks in Medical Treatment Cost Estimation
(Paper ID: 1758)
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Abstract
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Kristijan Cincar, Andrea Amalia Minda, Marius Susa |
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| Vol 10, No 2 (2019): Issue 2, Volume 10 of BRAIN (2019) |
Classification of Segmented Phonocardiograms by Convolutional Neural Networks
(Paper ID: 899)
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Abstract
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Omer Deperlioglu |
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| Vol 17, No 2 (2026): BRAIN - Volume 17, Issue 2 (June 2026) |
Application of ConvLSTM Neural Networks in Forest Fire Early Warning Systems for Vietnam
(Paper ID: 2030)
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Abstract
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Forest Fire Decision System
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Pham Thi Lien, Nguyen Thu Huong, Nguyen The Long |
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| Vol 15, No 3 (2024): BRAIN. Broad Research in Artificial Intelligence and Neuroscience |
Lung Sounds Anomaly Detection with Respiratory Cycle Segmentation
(Paper ID: 1597)
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Abstract
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Constantin Constantinescu, Remus Brad, Adrian Bărglăzan |
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| Vol 17, No 1 (2026): BRAIN Volume 17, Issue 1, March 2026 |
The Relationship Between Cardiac Adipose Tissue and Anxiety in Bariatric Patients: Deep Learning Applications in Epicardial Adipose Tissue Analysis
(Paper ID: 1978)
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Abstract
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Mihaela Toader, Ana Maria Buburuz, Madalina Maxim, Daniela Ivona Tomita, Bogdan Novac, Otilia Novac, Daniel Vasile Timofte |
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| Vol 16, No 4 (2025): BRAIN. Broad Research in Artificial Intelligence and Neuroscience | Vol. 16, Issue 4 |
Robust Sentiment Analysis Through Bayesian Dropout-Enhanced RoBERTa-LSTM
(Paper ID: 1912)
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Abstract
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Soufien Jaffali |
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| Vol 16, No 3 (2025): BRAIN. Broad Research in Artificial Intelligence and Neuroscience, Volume 16, Issue 3, September 2025 |
Electroencephalography (EEG) - Based Neuromarketing: Predicting Favourable and Unfavourable Consumer Reactions Using ML Techniques
(Paper ID: 1870)
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Abstract
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R. Sakthi Velammal, A. Leo, J. Macklin Abraham, C. Maria Fortuna, Vinoth Kumar |
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| Vol 12, No 4 (2021): BRAIN. Broad Research in Artificial Intelligence and Neuroscience |
Deep Learning Based Malware Detection Tool Development for Android Operating System
(Paper ID: 1186)
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Abstract
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Mahmut TOKMAK, Ecir Uğur KÜÇÜKSİLLE, Utku KÖSE |
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