Efficient Side-Tuning for Remote Sensing: A Low-Memory Fine-Tuning Framework by Haichen Yu, Wenxin Yin, Hanbo Bi, Chongyang Li, Yingchao Feng, Wenhui Diao, Xian Sun

“…The proposed EST Block is the main component of the parallel network, which uses the multichannel adapter fusion module, gate layer and depthwise convolution to achieve feature selection and enhancement effects. In the evaluation, on six remote sensing datasets including object detection and semantic segmentation, EST achieved SOTA performance results using only less than 40<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> of the memory expenditure of full fine-tuning, which is better than all current parameter efficient fine-tuning methods. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…The model’s parameter count and computational complexity require reduction. …”
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Impact of Nanofluid Flow over an Elongated Moving Surface with a Uniform Hydromagnetic Field and Nonlinear Heat Reservoir by Haroon U. R. Rasheed, Saeed Islam, Zeeshan Khan, Sayer O. Alharbi, Hammad Alotaibi, Ilyas Khan

“…Thus, innovative thermal transport fluids require to boost thermal conductivity and heat flow features to upsurge convection heat rate, and nanofluids have been effectively employed as standard heat transfer fluids. …”
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Frequency-Domain Collaborative Lightweight Super-Resolution for Fine Texture Enhancement in Rice Imagery by Zexiao Zhang, Jie Zhang, Jinyang Du, Xiangdong Chen, Wenjing Zhang, Changmeng Peng

“…Experiments on the 4× downsampled rice test set demonstrate that the proposed method achieves a 62% reduction in parameters compared to EDSR, 41% lower computational cost (30 G) than MambaIR-light, and an average PSNR improvement of 0.68% over other methods in the study while balancing memory usage (227 M) and inference speed. …”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…The approach uses forward selection to identify 98 texture attributes while refining the selection process to find optimal regularity features. A two-phase classification system trains automation parameters using artificial neural networks together with support vector machines. …”
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CDUNeXt: efficient ossification segmentation with large kernel and dual cross gate attention by Hailiang Xia, Chuantao Wang, Zhuoyuan Li, Yuchen Zhang, Shihe Hu, Jiliang Zhai

“…By designing lightweight module structures, utilizing large-kernel convolutions to extracts the long-distance dependencies of different features of the image, and adopting dual-cross-gate-attention(DCGA) to sequentially capture the channel and spatial dependencies so as to fast and accurate segmentation while maintaining fewer parameters and lower complexity. …”
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AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing by Rajnish Rakholia, Andres L. Suarez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

“…Building on this, this research paper aims to explore the utilization of machine learning methods in predicting the drying time of meat-based food products incorporating multiple factors including structure and properties of food, environmental factors, food mass, and physical parameters of food containers. Furthermore, the paper explores correlations, performs feature importance analysis, and addresses the challenges and limitations within this context.…”
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Energy Efficiency for 5G and Beyond 5G: Potential, Limitations, and Future Directions by Adrian Ichimescu, Nirvana Popescu, Eduard C. Popovici, Antonela Toma

“…In lowering carbon emissions and lowering OPEX, these three additional features could help mobile network operators achieve their targets.…”
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Sodium Silicate, Potassium Silicate, and Copper Sulfate’s Effectiveness In Vitro and In Silico against the Wood-decaying Fungus Phanerochaete chrysosporium by Mohammed Ibrahim Alghonaim, Sulaiman A. Alsalamah, Suha Alharbi, Abeer Mahmoud Mohammad

“…Surfactant and desiccant features of derived products of silicates are considered the main contributors in wood resistance to decay. …”
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Lightweight human activity recognition method based on the MobileHARC model by Xingyu Gong, Xinyang Zhang, Na Li

“…However, due to the fact that these models have sequential network structures and are unable to simultaneously focus on local and global features, thus, resulting in a reduction in recognition performance. …”
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Sketch-Guided Topology Optimization with Enhanced Diversity for Innovative Structural Design by Siyu Zhu, Jie Hu, Jin Qi, Lingyu Wang, Jing Guo, Jin Ma, Guoniu Zhu

“…The results reveal that the sketch-based constraints and length-scale control have distinct control effects on structural features and have different impacts on the mechanical performance and diversity, thereby enabling fine-grained and flexible human controllability to better balance conflicting objectives.…”
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Efficient vision transformers with edge enhancement for robust small target detection in drone-based remote sensing by Xuguang Zhu, Zhizhao Zhang

“…Combined with an Inner Generalized Intersection-over-Union (Inner-GIoU) loss function to optimize bounding box geometric consistency, MLD-DETR achieves 36.7% AP50% and 14.5% APs on the VisDrone2019 dataset, outperforming the baseline RT-DETR by 3.2% and 1.8% in accuracy while achieving 20% parameter reduction and maintaining computational efficiency suitable for UAV platforms equipped with modern edge computing hardware. …”
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Research on Digital Media Art for Image Caption Generation Based on Integrated Transformer Models in CLIP by Lu Gao, Xiaofei Pang

“…In order to replace the fundamental features of conventional multi-modal fusion models, we propose a New Multi-modal Fusion Attention module (NMFA), which efficiently decreases parameter sizes and computational complexity in half. …”
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Simple Models for the Dynamic Modeling of Rotating Tires by J.C. Delamotte, R.F. Nascimento, J.R.F. Arruda

“…Detailed FE models are not adequate for optimization and uncertainty predictions either, as in such applications the dynamic solution must be computed a number of times. Therefore, there is a need for simpler models that can capture the physics of the tire and be used to compute the dynamic response with a low computational cost. …”
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Investigation of the Pulmonary Artery Hypertension Using an Ad Hoc OpenFOAM CFD Solver by Francesco Duronio, Paola Marchetti

“…We performed CFD simulations with the OpenFOAM C++ library using a purposely developed solver that features the Windkessel model as a pressure boundary condition. …”
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MixLVMM: A Mixture of Lightweight Vision Mamba Model for Enhancing Skin Lesion Segmentation Across High Tone Variability by Mohamed Lamine Allaoui, Mohand Said Allili

“…Each expert utilizes a U-shaped architecture incorporating Focused Vision Mamba blocks and Adaptive Salient Region Attention modules to capture lesion-specific features while maintaining computational efficiency. …”
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Fish feeding behavior recognition via lightweight two stage network and satiety experiments by Shilong Zhao, Kewei Cai, Yanbin Dong, Guanbo Feng, Yuqing Wang, Hongshuai Pang, Ying Liu

“…Furthermore, to reduce model complexity, lightweight RepSELAN and SPPSF modules were developed, resulting in a 31.4% reduction in parameters and a 26.2% decrease in computational load, with only a 0.11% decrease in mAP(B) and a 0.95% increase in mAP(P). …”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…Moreover, evolutionary algorithms such as the genetic process often help in depleting test cases, together with a concurrent decrease in computational runtime. However, when examining the fault detection capacity along with other parameters, is required, the method falls short. …”
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Investigating multi-directional flow dynamics in three-way ball valves: a CFD-based study by Amol Dhumal, Nitin Ambhore, Gaurav Sanap, Tanmay Patil, Vishal Sanap, Aryan Kadu

“…Abstract The objective of this study is to analyze a three-way ball valve using computational fluid dynamic simulations in ANSYS Fluent to achieve better flow control and improve the efficiency of the system. …”
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Analytical Approach to Designing a Combined-Mode Resonator Filter on Surface Acoustic Waves Using the Model of Coupling of Modes by A. S. Koigerov

“…To describe the current state and main features of approaches to calculating SAW-based bandpass filters using the model of coupled modes and its formalization based on P-matrices. …”
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