Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

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Stellar Population Properties in the Stellar Streams around SPRC047 by Seppo Laine, David Martínez-Delgado, Kristi A. Webb, Mohammad Akhlaghi, Roberto Baena-Gallé, Sanjaya Paudel, Michael Stein, Denis Erkal

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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

“…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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FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method That Integrates Federated Learning Strategies by Yu Tao, Ruopeng Yang, Kaisheng Zeng, Changsheng Yin, Yiwei Lu, Wenxin Lu, Yongqi Shi, Bo Wang, Bo Huang

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Enhancing biomedical named entity recognition with parallel boundary detection and category classification by Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li

“…Abstract Background Named entity recognition is a fundamental task in natural language processing. Recognizing entities in biomedical text, known as the BioNER, is particularly crucial for cutting-edge applications. …”
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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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CSMA: A Standalone and ImageJ-Compatible Tool for Enhanced Wound Healing Assay Analysis by Tri Thanh Pham, Amina Sagymbayeva, Timur Elebessov, Zhadyra Onzhanova, Ferdinand Molnar

“…We developed the CSMA standalone and ImageJ-compatible tool, which utilizes advanced image processing techniques, including contrast enhancement, edge detection, and morphological operations, to precisely identify and quantify cells in the wound region. …”
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Development of an RGB-GE Data Generation and XAI-Based On-Site Classification System for Differentiating <i>Zizyphus jujuba</i> and <i>Zizyphus mauritiana</i> in Herbal Medicine Ap... by So Jin Park, Hyein Lee, Yu-Jin Jeon, Da Hyun Woo, Ho-Youn Kim, Jung-Ok Kim, Dae-Hyun Jung

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HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images by Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang

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Advancing Author Gender Identification in Modern Standard Arabic with Innovative Deep Learning and Textual Feature Techniques by Hanen Himdi, Khaled Shaalan

“…To address the AGI issue, this work combines the beneficial properties of natural language processing with cutting-edge deep learning methods. …”
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AI powered blockchain framework for predictive temperature control in smart homes using wireless sensor networks and time shifted analysis by Cong Feng, Ahmed Kateb Jumaah Al-Nussairi, Mustafa Habeeb Chyad, Narinderjit Singh Sawaran Singh, Jianyong Yu, Amirfarhad Farhadi

“…The framework integrates machine learning (ML) algorithms for predictive temperature management, blockchain technology for secure data handling, and edge computing for real-time data processing, resulting in a highly efficient and secure system. …”
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Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets by Arbi Haza Nasution, Aytug Onan, Yohei Murakami, Winda Monika, Anggi Hanafiah

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BASIL DB: bioactive semantic integration and linking database by David Jackson, Paul Groth, Hazar Harmouch

“…Construction and content The process of constructing the BASIL DB is divided into four fundamental steps: data collection, data preprocessing, data extraction, and data integration. …”
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Nonlinear multimode photonics on-chip by Vitali Valerio, Bucio Thalía Domínguez, Liu Hao, Haines Jack, Naik Pooja Uday, Guasoni Massimiliano, Gardes Frederic, Pavesi Lorenzo, Cristiani Ilaria, Lacava Cosimo, Petropoulos Periklis

“…Nonlinear integrated photonics, which takes advantage of the strong field enhancement in integrated waveguides to boost the efficiency of nonlinear effects, has paved the way for the demonstration of cutting-edge applications. These achievements have also been made possible by the impressive progress in material engineering and fabrication processes, which have enabled a remarkable control of the nonlinear dynamics in the waveguides. …”
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Increasing access to psychological therapy on acute mental health wards: staff and patient experiences of a stepped psychological intervention by Isobel Johnston, Dawn Edge, Paul Wilson, Adele Beinaraviciute, Sandra Bucci, Richard Drake, Gill Gilworth, Gillian Haddock, Fritz Handerer, Sonalia Kaur, Karina Lovell, Helen Morley, Owen Price, Mica Samji, Katherine Berry

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Auto-BUQ: Uncertainty Quantification for the Boundaries of Segmented Events by Jue Wang, Vinay L. Kashyap, Thomas C. M. Lee, David A. van Dyk, Andreas Zezas

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A Two-Step Nonstop-and-Go Phase Compensation Method for Spaceborne SAR With High-Resolution High-Squint-Angle and Wide-Swath by Yifan Wu, Lijia Huang, Bingchen Zhang, Lihua Zhong, Di Yin, Dadi Meng, Yuxin Hu

“…We verified the proposed compensation method through simulation and compared it with the two-step compensation method used in high-resolution SAR data processing. Experimental results show that we provide an effective compensation method for high-resolution, high-squint-angle, wide-swath spaceborne SAR, which can correct azimuth shifts and solve the problem of defocusing at the edges of large scenes.…”
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Learning Graph Structures With Autoregressive Graph Signal Models by Kyle Donoghue, Ashkan Ashrafi

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Binary-Weighted Neural Networks Using FeRAM Array for Low-Power AI Computing by Seung-Myeong Cho, Jaesung Lee, Hyejin Jo, Dai Yun, Jihwan Moon, Kyeong-Sik Min

“…Compared to prior CIM architectures of SRAM-CIM, DRAM-CIM, and STT-MRAM-CIM, the proposed FeRAM-CIM exhibits superior energy efficiency, achieving 230–580 TOPS/W in a 45 nm process. These results highlight the potential of FeRAM-based BWNNs as a compelling solution for edge-AI and IoT applications where energy constraints are critical.…”
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Mamba-UAV-SegNet: A Multi-Scale Adaptive Feature Fusion Network for Real-Time Semantic Segmentation of UAV Aerial Imagery by Longyang Huang, Jintao Tan, Zhonghui Chen

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