A Combination of Two Conjugate Gradient Methods Under A New Line Search with its Application in Image Restoration Problems by Maiza Asma, Ziadi Raouf, Saleh Mohammed A., Almaymuni Abdulgader Z.

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Prediction of rare and anomalous minerals using anomaly detection and machine learning techniques by Abish Sharapatov, Alisher Saduov, Nazerke Assirbek, Madiyar Abdyrov, Beibit Zhumabayev

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The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media by Mengruo Qi

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Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis by Nazmul Ahasan Maruf, Abdullah Basuhail

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GPU-based parallel programming for FEM analysis in the optimization of steel frames by Tevfik Oğuz Örmecioğlu, İbrahim Aydoğdu, Hilal Tuğba Örmecioğlu

“…Optimization of large-scale frame structures consumes a vast amount of time since the analysis of such complex systems contains several iterative processes. Mitigating computational burden and reducing this time to a reasonable level is possible by running GPU (Graphical Processing Unit) processors, which can be found on standard computers. …”
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DIGITAL TOOLS FOR MATCHING QUALIFICATIONS TO THE LEVELS OF THE NATIONAL QUALIFICATIONS FRAMEWORK by Volodymyr Kovtunets, Sergiy Londar, Serhii Melnyk, Oles Kovtunets

“…At the lower level of the decision-making process, there are 3-4 descriptors of qualification. …”
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A Gaussian Process-Enhanced Non-Linear Function and Bayesian Convolution–Bayesian Long Term Short Memory Based Ultra-Wideband Range Error Mitigation Method for Line of Sight and No... by A. S. M. Sharifuzzaman Sagar, Samsil Arefin, Eesun Moon, Md Masud Pervez Prince, L. Minh Dang, Amir Haider, Hyung Seok Kim

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Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset by Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…Transformer-based models have shown outstanding results in natural language processing but face challenges in applications like classifying small-scale clinical texts, especially with constrained computational resources. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

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A Dynamic Mode Decomposition Based Edge Detection Method for Art Images by Chongke Bi, Ye Yuan, Ronghui Zhang, Yiqing Xiang, Yuehuan Wang, Jiawan Zhang

“…Edge detection is a widely used feature extraction method in various fields, such as image processing, computer vision, machine vision, and so forth. …”
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The role of advanced machine learning in COVID-19 medical imaging: A technical review by Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib

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An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images by Mamuna Fatima, Muhammad Attique Khan, Anwar M. Mirza, Jungpil Shin, Areej Alasiry, Mehrez Marzougui, Jaehyuk Cha, Byoungchol Chang

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Leveraging Synthetic Data for Improved Manipuri-English Code-Switched ASR by Naorem Karline Singh, Wangkheimayum Madal, Chingakham Neeta Devi, Hoomexsun Pangsatabam, Yambem Jina Chanu

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Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D by Pawel Tomasz Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Anders Nymark Christensen

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BanglaBlend: A large-scale nobel dataset of bangla sentences categorized by saint and common form of bangla languageMendeley Data by Umme Ayman, Chayti Saha, Azmain Mahtab Rahat, Sharun Akter Khushbu

“…To achieve the best data quality, rigorous pre-processing techniques such as anonymization and duplication removal were used. …”
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Error analysis of digital filters using fixed point arithmetic by Robert Wirski, Paweł Poczekajło

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Enhancing network slice security with Deep Reinforcement Learning and Moving Target Defense strategies by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos Markakis, Athina Bourdena, George Mastorakis

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Uncertainty-Aware Active Meta-Learning for Few-Shot Text Classification by Sanghyun Seo, Hiskias Dingeto, Juntae Kim

“…This research contributes to the expansion of meta-learning techniques beyond their traditional application in computer vision, demonstrating their potential in natural language processing. …”
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An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost... by Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad

“…This research leverages a diverse dataset and robust image processing techniques to enhance diagnostic accuracy under such demanding conditions. …”
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Neural network implementation of model predictive control with stability guarantees by Arthur Khodaverdian, Dhruv Gohil, Panagiotis D. Christofides

“…The goal is to create an approximate control policy that can replace the MPC, offering reduced computational complexity while maintaining stability guarantees. …”
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