Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…We demonstrate the system’s capability for quantitatively determining isotopic distributions in various thin samples, as well as automatically reconstructing complex scenes with overlapping resonances from diverse samples. …”
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Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…<b>Background:</b> Addressing the complex diagnostic challenges of Alzheimer’s disease (AD), this study introduces FusionNet, a groundbreaking framework designed to enhance AD classification through the integration of multi-modal and longitudinal imaging data. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…However, the automatic characterization and identification of these processes remain challenging due to the complex spatiotemporal data and unpredictable types of topographic processes in natural environments. …”
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RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization by Sasipriya Arun, Edward R. Sykes, Syed Tanbeer

“…Results The usability study revealed the system's capacity to translate complex bedside data into accessible, real-world visualizations, promoting efficient pattern recognition and anomaly detection. …”
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Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Beyond soybean, AI/ML methods have enhanced QTL detection in wheat, lettuce, rice, and cotton, supporting trait dissection across diverse crop species. …”
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Novel Energy-Aware 3D UAV Path Planning and Collision Avoidance Using Receding Horizon and Optimization-Based Control by Gamil Ahmed, Tarek Sheltami

“…This paper introduces a novel approach for energy-efficient three-dimensional online path planning for UAV formations operating in complex environments. …”
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Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…This study provides a solid foundation for developing more efficient and portable methods for detecting depression, offering new perspectives and approaches for EEG-based MDD detection, and contributing to the improvement in objectivity and precision in depression diagnosis.…”
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SECONDARY OSTEOARTHRITIS IN RHEUMATOID ARTHRITIS by I. A. Starodubtseva, L. V. Vasilyeva

“…Particular emphasis is placed on current cartilage biomarkers, their diagnostic value and role in monitoring the efficiency of treatment in clinical trials. The paper provides a comparative analysis of detectable serum and urine biomarkers according to the results of the complex analysis made by the National Institutes of Health. …”
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Study on Temperature Effects and Energy Resolution of Large-size BGO-SiPM Detector by SONG Luyang1, SU Jun1, , ZHANG Liyong1, CHEN Junfeng2, LIU Fengcheng1, QIN Zhiwei1, SHENG Yaode1, JIANG Xinzhi1, CHEN Xin1, LIN Shen1, HUANG Yitong1, WANG Lin1, SHEN Yangping3, JIN Shilun4, LU Fei5

“…The design of gamma-ray detector arrays is often constrained by the use of photomultiplier tubes (PMTs), whose substantial bulkiness introduces numerous design constraints, thereby limiting improvements in key performance metrics such as detection efficiency, compactness, and granularity. …”

Recent Advances in Black Silicon Surface Modification for Enhanced Light Trapping in Photodetectors by Abdulrahman Alsolami, Hadba Hussain, Radwan Noor, Nourah AlAdi, Nada Almalki, Abdulaziz Kurdi, Thamer Tabbakh, Adnan Zaman, Salman Alfihed, Jing Wang

“…We also explore the impact of BSi on the emerging applications in silicon (Si)-based photodetectors, showcasing their potential for pushing the boundaries of light-trapping efficiency. Throughout this review, we critically evaluate the trade-offs between fabrication complexity and performance enhancement, providing valuable insights for future development in this rapidly evolving field. …”
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Identification of Rare Multiple Core‐Mantle Boundary Reflections PmKP Up To P7KP With Deep Learning by Sheng Dong, Yulin Chen, Baolong Zhang, Sidao Ni, Xiaofei Chen, Yi Wang

“…Our approach significantly improves the efficiency of PmKP phase identification and holds the capability to detect other weak core phases, such as PKiKP.…”
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A Status Evaluation of Rock Instability in Metal Mines Based on the SPA–IAHP–PCN Model by Fang Yan, Xuan Li, Longjun Dong, Shengnan Du, Hongwei Wang, Daoyuan Sun

“…Finally, the availability and reasonability of the proposed method were verified by comparing the results obtained with the number of microseismic events detected by the sensors in a metal mine. The proposed model provides a novel approach to dynamic risk assessment in mining, offering a reliable alternative for evaluating complex safety challenges. …”
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DS Net: A Dual-Coded Segmentation Network Leveraging Large Model Prior Knowledge for Intelligent Landslide Extraction by Xiao Wang, Dongsheng Zhong, Chenghao Liu, Xiaochuan Song, Luting Xu, Yue Deng, Shaoda Li

“…An innovative Dual-Coded Segmentation Network (DS Net), which realizes dynamic alignment and deep fusion of local details and global context, image features and domain knowledge through the multi-attention mechanism of Prior Knowledge Integration (PKI) module and Cross-Feature Aggregation (CFA) module, significantly improves the landslide detection accuracy and reliability. To objectively evaluate the performance of the DS Net model, four efficient semantic segmentation models—SegFormer, SegNeXt, FeedFormer, and U-MixFormer—were selected for comparison. …”
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TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…Current approaches that focus on existing object recognition methods lead to high false detection and miss rates. This paper introduces TrainNet for efficient locking state detection for Open-top wagon doors. …”
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Process for Simultaneous Removal of S₈, DBDS, and PCBs From Mineral Insulating Oils by Dejan M. Kolarski, Jelena M. Lukic, Jelena U. Jankovic, Sandra B. Glisic, Aleksandar M. Orlovic

“…The integration of S8 removal process with the KOH/PEG complex enables the simultaneous removal of S8, DBDS, and PCBs, with no residual metal particles detected in the oil following the treatment. …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Training operators for complex systems demand substantial time and resources, necessitated by safety considerations and the expansive scale of these systems. …”
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UNION: A Trust Model Distinguishing Intentional and Unintentional Misbehavior in Inter-UAV Communication by Ezedin Barka, Chaker Abdelaziz Kerrache, Nasreddine Lagraa, Abderrahmane Lakas, Carlos T. Calafate, Juan-Carlos Cano

“…Simulations conducted using NS2.35 evidence the efficiency of our proposal, called UNION, at ensuring high detection ratios > 87% and high accuracy with reduced end-to-end delay, clearly outperforming previous proposals known as RPM, T-CLAIDS, and CATrust.…”
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Optimized fiducial marker placement using B‐spline surface modeling and graph theory for Cyberknife stereotactic body radiotherapy for superficial tumors by Jing Huang, Xianlong Xiong, Cheng Chen, Yuhan Li, Ruijie Wang, Zhitao Dai

“…To enhance the computational efficiency, a kd‐tree spatial indexing structure was integrated with graph theory, specifically the Bron–Kerbosch algorithm for maximal clique detection. …”
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Dynamic Positioning and Optimization of Magnetic Target Based on Binocular Vision by Jing Li, Yang Wang, Ligang Qu, Guangming Lv, Zhenyu Cao

“…The experimental results on the C-Track optical tracking platform show that the optimized magnetic target layout reduces the rotation error of the dynamic scanning from 0.055° to 0.035°, the translation error from 0.31 mm to 0.162 mm, and the scanning efficiency is increased by 33%, which significantly improves the positioning accuracy and tracking stability of the system under complex working conditions. …”
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An Elite Wolf Pack Algorithm Based on the Probability Threshold for a Multi-UAV Cooperative Reconnaissance Mission by Hanrui Zhang, Xiao Lv, Chao Ma, Liangzhong Cui

“…To address the above challenges, this paper presents a multi-UAV task assignment model under complex conditions (MTAMCC). To efficiently solve this model, this paper proposes an elite wolf pack algorithm based on probability threshold (EWPA-PT). …”
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