Hardware Trojan Detection in Open-Source Hardware Designs Using Machine Learning by Victor Takashi Hayashi, Wilson Vicente Ruggiero

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SHIFA: SBERT-Based Healthcare Information Focused Arabic Question Answering by Rahaf Alruwaithi, Sarah AlHumoud

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Achieving high density and controlled microstructure by predicting hot deformation behavior of low-cost powder metallurgy Ti-5553 alloy by Krystian Zyguła, Oleksandr Lypchanskyi, Kamil Cichocki, Grzegorz Korpała, Marek Wojtaszek, Ulrich Prahl

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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

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Plant Disease Detection Using Self-Supervised Learning: A Systematic Review by Abdullah Al Mamun, David Ahmedt-Aristizabal, Miaohua Zhang, Md Ismail Hossen, Zeeshan Hayder, Mohammad Awrangjeb

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Explainable Video Topics for Content Taxonomy: A Multimodal Retrieval Approach to Industry-Compliant Contextual Advertising by Waruna de Silva, Anil Fernando

“…This study proposes an innovative approach for integrating advanced natural language processing with multimodal analysis for video contextual advertising. …”
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Enhancing Safety in Autonomous Maritime Transportation Systems with Real-Time AI Agents by Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka, Polina Kozlovska, Wojciech Ślączka

“…Following a structured literature review, we examine the architecture of real-time AI agents, including sensor integration, communication systems, and computational infrastructure. We distinguish maritime AI agents from conventional systems by emphasizing their specialized functions, real-time processing demands, and resilience in dynamic environments. …”
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CacheFormer: High-Attention-Based Segment Caching by Sushant Singh, Ausif Mahmood

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Synthesis algorithm of low sensitivity non‐separable N‐D finite impulse response filters configured of fast orthogonal 1‐D rotation structures implemented in field programmable gat... by Paweł Poczekajło, Krzysztof Wawryn

“…The obtained filter was implemented in FPGA IC and its parameters, sensitivity, processing time and signal‐to‐quantisation noise ratio, were simulated and measured. …”
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An Ensemble Patient Graph Framework for Predictive Modelling from Electronic Health Records and Medical Notes by S. Daphne, V. Mary Anita Rajam, P. Hemanth, Sundarrajan Dinesh

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A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation by Michał Paweł Wierzbicki, Barbara Anna Jantos, Michał Tomaszewski

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Machine Learning Approach for Arabic Handwritten Recognition by A. M. Mutawa, Mohammad Y. Allaho, Monirah Al-Hajeri

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IDCC-SAM: A Zero-Shot Approach for Cell Counting in Immunocytochemistry Dataset Using the Segment Anything Model by Samuel Fanijo, Ali Jannesari, Julie Dickerson

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Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions by Pejman Peykani, Fatemeh Ramezanlou, Cristina Tanasescu, Sanly Ghanidel

“…Large language models (LLMs), as one of the most advanced achievements in the field of natural language processing (NLP), have made significant progress in areas such as natural language understanding and generation. …”
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Comprehensive Study on Zero-Shot Text Classification Using Category Mapping by Kai Zhang, Qiuxia Zhang, Chung-Che Wang, Jyh-Shing Roger Jang

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Label-Aware Hierarchical Ranking Model for Multi-Label Text Classification by Lama Ayash, Abdulmohsen Algarni, Omar Alqahtani

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MobileNetV3: an efficient deep learning-based feature selection and classification technique for cardiovascular disease by B. Dhanalaxmi, B. Naveen Kumar, Yeligeti Raju, Rama Seshagiri Rao Channapragada

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High-Throughput ORB Feature Extraction on Zynq SoC for Real-Time Structure-from-Motion Pipelines by Panteleimon Stamatakis, John Vourvoulakis

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New Approach to Dominant and Prominent Color Extraction in Images with a Wide Range of Hues by Yurii Kynash, Mariia Semeniv

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Fast and Accurate Sperm Detection Algorithm for Micro-TESE in NOA Patients by Mahmoud Mohamed, Konosuke Kachi, Kohei Motoya, Masashi Ikeuchi

“…In Micro-TESE procedures, embryologists manually search for sperm under DIC microscopy—a slow, labor-intensive process. We aim to streamline this process with an efficient computational detection tool. …”
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