Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends by Nafiseh Ghasemi, Jon Alvarez Justo, Marco Celesti, Laurent Despoisse, Jens Nieke

“…This article discusses the efficacy of different network architectures, highlighting the advantages of lightweight CNN models and 1D-CNNs for onboard processing. …”
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Comparison of a combined torus tank with a composite isogrid support with existing design solutions by Andrii Diadiuk, Volodymyr Lipovskyi

“…On one hand, the design must be strong, rigid, and stable, while on the other, it must be as lightweight as possible. The research object is a combined torus shell with composite isogrid reinforcement. …”
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Vacuum amplitudes and time-like causal unitary in the loop-tree duality by The LTD collaboration, Selomit Ramírez-Uribe, Andrés E. Rentería-Olivo, David F. Rentería-Estrada, Jorge J. Martínez de Lejarza, Prasanna K. Dhani, Leandro Cieri, Roger J. Hernández-Pinto, German F. R. Sborlini, William J. Torres Bobadilla, Germán Rodrigo

“…The generation of loop- and tree-level contributions to the differential decay rates from a kernel multiloop vacuum amplitude is shown in detail, and explicit expressions are presented for selected processes that are suitable for a lightweight understanding of the method. Specifically, we provide a clear physical interpretation of the local cancellation of soft, collinear and threshold singularities, and of the local renormalisation of ultraviolet singularities. …”
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BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse by Qiaowang Li, Yaser Gamallat, Jon George Rokne, Tarek A. Bismar, Reda Alhajj

“…In summary, BioLake offers a lightweight online tool to facilitate bioinformatic mRNA data analysis with the support of custom online data processing.…”
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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. by Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Md Golam Rabiul Alam

“…This work focuses on the efficiency of the knowledge distillation approach in generating a lightweight yet powerful BERT-based model for natural language processing (NLP) applications. …”
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Secure and energy-efficient inter- and intra-cluster optimization scheme for smart cities using UAV-assisted wireless sensor networks by Niayesh Gharaei, Aliaa M. Alabdali

“…Abstract In recent years, lightweight sensors have become essential for advancing technologies, particularly in wireless sensor networks (WSNs). …”
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UAV launch methods by Oleksandr Dobrodomov, Vladyslav Proroka, Oleksii Kulyk

“…This method is suitable for small, lightweight UAVs with low launch energy requirements; Another common approach utilizes launch catapults. …”
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Research progress of powder metallurgical nano-particulate reinforced titanium matrix composites by LI Shaopeng, SUI Xiaodong, WANG Meiqi, XIAO Shan, HAN Yuanfei, WANG Xiangming

“…Titanium matrix composites（TMCs），as a new generation of lightweight and high-performance metals are considered to be one of the most promising structural materials in the fields of aerospace，automotive and other high-tech industries. …”
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Design and strengthening of dual bio-inspired lattice structures based on additive manufacturing by Tongyuan Sun, Bingzhi Chen, Deyu Yue, Dongming Li

“…With the application and advancement of additive manufacturing technology, the manufacturing of dual bio-inspired lattice structures with high mechanical efficiency and lightweight characteristics is possible, which has significant implications for the research and development of energy absorption structures.…”
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Strategic enhancement of joint strength in dissimilar Al/Mg alloys: a workable approach for aerospace application by S. Suresh, Elango Natarajan, Kalaimani Markandan, S. Sudhagar, Gnanasambandam Anbuchezhiyan, R. Elayaraja

“…Abstract The increasing importance of dissimilar lightweight metal joints is crucial for advancing aerospace and automotive technologies, where aluminum (Al) and magnesium (Mg) alloys offer an ideal balance of strength and weight. …”
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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP by Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule

“…This work emphasizes the advantages of in silico DNN MP-qMRI pipelines for rapid data generation and DNN training without extensive dictionary generation, long parameter inference times, or prolonged data acquisition, highlighting the flexible and rapid nature of lightweight machine learning applications for MP-qMRI.…”
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Flexible electro-hydraulic power chips by Chao Zhang, Jionghao Chen, Changyi Xu, Tairan He, Xiaolong Zhang, Junhui Zhang, Ximing Sun, Bing Xu, Yi Zhu, Huayong Yang

“…Here, we introduce a strategy of flexible electro-hydraulic power chips that enables multi-circuit independent pumping and control of soft systems in simple, compact, and lightweight forms. These electro-hydraulic power chips could be arbitrarily programmed through “line-plane-body” combinations of electro-hydraulic power “diode” or “triode” modules with high output density of 10.77 kPa/g and 2.15 L/min/g, and freely fabricated into the desired shapes and functions via multi-material 3D printing technique. …”
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Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

“…Conclusion We developed a lightweight machine learning model to analyze pregnant women's voices for screening various mental disorders, achieving high sensitivity and demonstrating the potential of voice analysis as an effective and objective tool in perinatal mental health care.…”
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ClassWise-SAM-Adapter: Parameter-Efficient Fine-Tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation by Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu

“…The proposed CWSAM freezes most of SAM's parameters and incorporates lightweight adapters for parameter-efficient fine-tuning, and a classwise mask decoder is designed to achieve semantic segmentation task. …”
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Automated Internal Defect Identification and Localization Based on a Near-Field SAR Millimeter-Wave Imaging System by Quoc Cuong Bui, Weizhi Lin, Qiang Huang, Gyung-Su Byun

“…Current internal non-destructive testing (NDT) methods, such as computed tomography, can be costly, time-consuming, and constrained by object size. The lightweight and affordable millimeter-wave (mmWave) radar has demonstrated the capability of detecting objects beneath surfaces or obstacles through generated near-field synthetic aperture radar (SAR) images. …”
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Effects of ultrasonic rotating extrusion assisted wire arc additive manufacturing on the microstructure and mechanical properties of 5356 aluminum alloy by Rongtao Zhu, Liang Zhang, Longhan Duan, Zhaofeng Liang, Chuang Li, Bo Yuan, Peng Du, Zhiwen Xie, Yaping Zhang

“…Wire Arc Additive Manufacturing (WAAM) for the fabrication of lightweight Al alloy represents a burgeoning area of research. …”
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Fabrication and Performance Analysis of Novel HTV Silicon Rubber Nanocomposites for High Voltage Insulation in Outdoor Environment by Aqeel Ur Rehman, Muhammad Salman Khan, Abraiz Khattak, Yasin Khan, Khalid Hamad Alkhalid

“…Polymeric insulators have revolutionized electrical power system insulations with their lightweight and high mechanical endurance. Adding silica as an inorganic filler has enhanced electrical, mechanical, and thermal properties with variations among the specific ranges. …”
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Polarization-controlled metasurface for simultaneous holographic display and three-dimensional depth perception by Guo Shuhan, Shao Yifan, Zhan Junjie, Yu Jiaqi, Wang Yubo, Choudhury Pankaj K., Hernandez-Figueroa Hugo E., Ma Yungui

“…The current results provide a prominent way to manufacture lightweight and highly-integrated comprehensive imaging systems especially vital for cutting-edge intelligent visual technologies.…”
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DeepGolf: A fine-grained perception framework for golf course distribution in the real world based on multi-source remote sensing data by Ning Li, Yingchao Feng, Wenhui Diao, Xian Sun, Liang Cheng, Kun Fu

“…It employs a robust detection strategy that integrates surface cover, wind speed, and settlement data to identify candidate regions, which is then followed by a grid-based recognition approach and a lightweight Dual-Path Difference Fusion Enhancement (DPDFE) network for detailed localization and fine extraction. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…Additionally, we develop a lightweight frequency transformer (LFT) with minimal parameters for detecting large-scale ground objects that undergo significant changes over time. …”
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