Revolutionizing Education: Harnessing Machine Learning and Deep Learning for Digital Examination Transformation by Shilpi Gautam, Asadi Srinivasulu

“…To mitigate these risks, the proposed system aims to implement robust fairness-aware assessment algorithms while also incorporating advanced encryption and privacy-preserving techniques. …”
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Disjunctive and conjunctive decompositions of incompletely defined Boolean functions in a Binary Decision Diagram by P. N. Bibilo

“…The application of the proposed algorithms and already known algorithms for minimizing multilevel BDD representations of partial function systems allows us to obtain the best results of technologically independent logical optimization, the initial stage of logic circuit synthesis.…”
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Nonlinear waveform optimization for wireless power transfer systems by Lina Yuan, Huajun Chen, Maoxue Hu, Jing Gong

“…We develop single-user and multi-user algorithms that maximize the output DC voltage of the weighted and/or minimum moment antennas by optimizing waveform design. …”
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Analysis and Design of a Context Adaptable SAD/MSE Architecture by Arvind Sudarsanam, Aravind Dasu, Karthik Vaithianathan

“…Design of flexible multimedia accelerators that can cater to multiple algorithms is being aggressively pursued in the media processors community. …”
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Design of a controller with an intelligent hybrid structure by Botirov Tulkin, Sodiqov Baxtiyor, Jumabaev Elbek, Salahiddinov Aziz, Jurayeva Ruxsora

“…Various optimization techniques, such as metaheuristic algorithms, are employed to fine-tune the controller parameters for superior performance. …”
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Context-Aware Adaptive Encryption: Integrating Sensitive Data Detection and Network intrusion detection for Dynamic Data Security and Encryption by Leonardo C. Lawrence, Ramin Giovanni, Cynthia Calongne, Abdullah Alshboul

“…The proposed system employs deep learning models to identify sensitive information and machine learning algorithms to monitor network activity for potential intrusions. …”
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Artificial Intelligence in Uropathology by Katia Ramos Moreira Leite, Petronio Augusto de Souza Melo

“…AI, especially deep learning algorithms, has shown significant potential in improving the accuracy and efficiency of pathology workflows. …”
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Improving medical machine learning models with generative balancing for equity and excellence by Brandon Theodorou, Benjamin Danek, Venkat Tummala, Shivam Pankaj Kumar, Bradley Malin, Jimeng Sun

“…This paper introduces FairPlay, a synthetic data generation approach leveraging large language models, to address these issues. FairPlay enhances algorithmic performance and reduces bias by creating realistic, anonymous synthetic patient data that improves representation and augments dataset patterns while preserving privacy. …”
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Deghosting method for cross localization in distributed high frequency surface wave radar by Na Cui, Xuekun Chen, Changjun Yu

“…The simulation results demonstrate the effectiveness of the proposed method compared with the other investigated deghosting algorithms. The proposed approach exhibits robust target detection capability while significantly reducing both the OSPA error and the cardinality error.…”
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Calculator of some special mathematical functions by Lazić Sara, Iričanin Bratislav

“…The middle section presents a description of the computer implementation - an overview of the used technology and implemented algorithms, while the final section includes a discussion of the solution, as well as a comparison with existing software that provides the same features as the subject application.…”
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Artificial Intelligence in medicine: Potential and Application Possibilities - Comprehensive literature review by Michał Kotowicz, Magdalena Bieniak-Pentchev, Maria Koczkodaj

“…Despite significant benefits, issues such as algorithmic bias, lack of transparency, and legal responsibility demand careful consideration. …”
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Dual-Channel CNN-Based Framework for Automated Rebar Detection in GPR Data of Concrete Bridge Decks by Sepehr Pashoutani, Mohammadsajjad Roudsari, Jinying Zhu

“…This paper presents two automated rebar detection algorithms based on Convolutional Neural Network (CNN) machine learning techniques. …”
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Establishing strength prediction models for low-carbon rubberized cementitious mortar using advanced AI tools by Fu Limei, Xu Feng

“…However, their reduced compressive strength (CS) due to the inclusion of rubber remains a significant barrier to widespread adoption. While several experimental studies exist, there is a clear gap in utilizing data-driven strategies to efficiently predict and optimize the strength performance of such materials. …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Findings revealed a 37% increase in interdisciplinary project outcomes (measured by collaborative problem-solving scores, cross-domain knowledge integration ratings, and peer evaluation metrics) when AIGC tools were strategically implemented, with significant variations in effectiveness based on implementation approach. While these technologies demonstrated substantial value in breaking down disciplinary silos and accommodating diverse learning preferences, challenges emerged regarding algorithmic bias, digital equity, and maintenance of discipline-specific skills. …”
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Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics by Jihan Wang, Zhengxiang Zhang, Yangyang Wang

“…The integration of multi-omics data and ML algorithms facilitates a more comprehensive understanding of tumor heterogeneity, advancing both diagnostics and personalized therapies. …”
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Airway Management Failure after Delayed Extubation in a Patient with Oral Malignant Melanoma Who Underwent Partial Mandibulectomy and Reconstruction with a Free Flap by Min A. Kwon, Jaegyok Song, Seokkon Kim, Pyeung-wha Oh, Minji Kang

“…The surgical airway was secured with an emergency tracheostomy while performing cardiopulmonary resuscitation. However, the patient experienced permanent hypoxic brain damage. …”
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A Non-Uniformity Correction Method for Uncooled Infrared Polarization Imaging Systems by Cailing Zhao, Zhiguo Fan, Yunxiang Zhang

“…Previous non-uniformity correction (NUC) algorithms usually couple polarization information with FPN correction, resulting in the loss of polarization characteristics. …”
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Artificial Intelligence in Recordkeeping by Sigit Sumarsono, Muhamad Prabu Wibowo

“…The models employed range from probabilistic and regression-based algorithms to decision tree classifiers, reflecting diverse but largely traditional methodological approaches. …”
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Legal Analysis of AI-Generated Creations: Copyright Law Perspectives by Praja Chrisna Bagus Edhita, Hakim Hary Abdul, Basri, Kurniaty Yulia, Sari Elvira Purnama

“…Legal analysis shows that AI is just a computer programming tool that performs tasks based on human commands. AI uses algorithms and computer training for recognition, prediction, and decision-making. …”
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Artificial intelligence applications in pediatric ophthalmology: A comprehensive review by Anupama Janardhanan, Meenakshi Ravindran, Allapitchai Fathima, Neelam Pawar

“…Ultimately, AI is set to revolutionize pediatric eye care, improving outcomes for children worldwide while complementing the expertise of healthcare professionals.…”
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