FishermaskFormer: Lightweight Remote Sensing Scene Classification With Masked Transformer by Wei Wu, Xianbin Hu, Zhu Li, Xueliang Luo

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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…With its lightweight architecture (requiring only 0.47 million parameters) and computational efficiency, ResTreeNet is a practical solution for large-scale ecological research, offering an innovative approach to automated forest monitoring and sustainable resource management.…”
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DFT Prediction of Structural and Physical Properties of Cr₃AlC₂ Under Pressure by Jianhui Yang, Shenghai Fan, Haijun Hou, Qiang Fan

“…In order to explore the electronic properties and bonding features, we carried out computations on the band structure and charge density distribution. …”
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Remote Sensing Image Dehazing via Dual-View Knowledge Transfer by Lei Yang, Jianzhong Cao, He Bian, Rui Qu, Huinan Guo, Hailong Ning

“…In particular, the distilled model achieves a significant speedup with less than 6% of the parameters and computational cost of the original model, while maintaining a state-of-the-art dehazing performance.…”
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Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks by Glendyn D. King, Md Asaduzzaman Towfiq, Ali C. Gurbuz, Bedri A. Cetiner

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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…The proposed method integrates three novel components: Faster-LTNet, CG Attention Module, and RMT Spatial Prior Block, to significantly improve computational efficiency, feature representation, and detection capabilities. …”
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State-of-Health Estimation for Lithium-Ion Batteries Based on Lightweight DimConv-GFNet by Kehao Huang, Jianqiang Kang, Jing V. Wang, Qian Wang, Oukai Wu

“…Remarkably, the DimConv-GFNet substantially reduces computational demands, requiring fewer than one-third of the Floating Point Operations (FLOPs) and parameters of DimConv-Transformer. …”
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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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Supply Chain Management Using Evolutionary Algorithms by Skitsko Volodymyr I., Voinikov Mykola Yu.

“…Evolutionary algorithms are part of a broader field in artificial intelligence that is evolutionary computing. The article allocates the characteristics of evolutionary algorithms that distinguish them from other algorithms of evolutionary computing, and analyzes the most popular evolutionary algorithms: genetic algorithm, genetic programming, evolutionary programming, evolutionary strategies and differential evolution, in particular, their features and areas of application in supply chain management. …”
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Thermodynamic database for multicomponent oxide systems by S. A. Decterov

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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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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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Apoptosis and other immune biomarkers predict influenza vaccine responsiveness by David Furman, Vladimir Jojic, Brian Kidd, Shai Shen‐Orr, Jordan Price, Justin Jarrell, Tiffany Tse, Huang Huang, Peder Lund, Holden T Maecker, Paul J Utz, Cornelia L Dekker, Daphne Koller, Mark M Davis

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U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling by Y. Cheng, L. Zhao, L. Zhao, L. Zhao, T. Chakraborty, K. Oleson, M. Demuzere, X. Liu, Y. Che, W. Liao, Y. Zhou, X. “. Li

“…Here, we present U-Surf, a first-of-its-kind 1 km resolution present-day (circa 2020) global continuous urban surface parameter dataset. Using the urban canopy model (UCM) in the Community Earth System Model as a base model for satisfying dataset requirements, U-Surf leverages the latest advances in remote sensing, machine learning, and cloud computing to provide the most relevant urban surface biophysical parameters, including radiative, morphological, and thermal properties, for UCMs at the facet and canopy level. …”
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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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InterAcT: A generic keypoints-based lightweight transformer model for recognition of human solo actions and interactions in aerial videos. by Mubashir Shah, Tahir Nawaz, Rab Nawaz, Nasir Rashid, Muhammad Osama Ali

“…It features a lightweight architecture with 0.0709M parameters and 0.0389G flops, distinguishing it from the AcT models. …”
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Interactive Maintenance of Space Station Devices Using Scene Semantic Segmentation by Haoting Liu, Chuanxin Liao, Xikang Li, Zhen Tian, Mengmeng Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li

“…Regarding the improved network, the original backbone network is replaced with a lightweight convolutional neural network, i.e., the MobileNetV2, with a smaller model scale and computational complexity. The convolutional block attention module (CBAM) is introduced to improve the network’s feature perception ability. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…This paper presents a feature selection technique based on <inline-formula><tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula> regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) linearization of wideband radio-frequency (RF) power amplifiers (PAs). …”
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Geometrical and structural design development of an active-bending structure from natural fibre pultruded profiles: The LightPRO shell by Evgenia Spyridonos, Yanan Guo, Marta Gil Pérez, Hanaa Dahy

“…The paper focuses on the geometrical and structural design development of the structure employing computational design tools for optimisation, ensuring design parameters and performance requirements were met. …”
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AHG-YOLO: multi-category detection for occluded pear fruits in complex orchard scenes by Na Ma, Na Ma, Na Ma, Yile Sun, Yile Sun, Chenfei Li, Chenfei Li, Zonglin Liu, Zonglin Liu, Haiyan Song, Haiyan Song

“…First, the sampling method in the backbone and neck networks is replaced with ADown downsampling to capture higher-level image features, reducing floating-point operations and computational complexity. …”
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