Computational studies of the rotors aerodynamic characteristics of multirotor drones by K. G. Kosushkin, B. S. Kritsky, R. M. Mirgazov

“…Depending on the mode and rotors location, the average rotor thrust coefficient can vary approximately twice. The computations showed that with the similar geometric parameters and kinematics characteristics, rotors thrust is substantially subject to variation, which causes destabilizing moments to a significant degree without additional control input. …”
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Decoupled pixel-wise correction for abdominal multi-organ segmentation by Xiangchun Yu, Longjun Ding, Dingwen Zhang, Jianqing Wu, Miaomiao Liang, Jian Zheng, Wei Pang

“…Attention-based deep neural networks (ADNNs) fundamentally engage in the iterative computation of gradients for both input layers and weight parameters. …”
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Computing Genomic Signatures Using de Bruijn Chains by Lenwood S. Heath, Amrita Pati

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CURRENT STATE AND PROSPECTS OF COMPUTER TERMINOLOGY ONLINE LEXICOGRAPHY by Iryna B. Mentynska

“…A number of modern online lexicographic sources that record computer terms are analyzed, their features from the point of view of practical application are noted, and the most current trends related to modern lexicography processes are highlighted. …”
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Steel Defect Detection Based on YOLO-SAFD by Feihong Yu, Jinshan Zhang, Dingdiao Mu

“…The proposed model incorporates two key innovations: 1) the Squeezed and Excited Asymptotic Feature Pyramid Network (SAFPN), which enhances multi-scale feature fusion and improves the detection of small defects, increasing the mean Average Precision (mAP) from 0.78 (YOLOv5 baseline) to 0.84; 2) the Diverse Branch Block (DBB), which replaces conventional convolutions to enrich feature diversity while reducing computational complexity, cutting the model parameters from 13.8M to 4.82M. …”
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Spontaneous Ad Hoc Mobile Cloud Computing Network by Raquel Lacuesta, Jaime Lloret, Sandra Sendra, Lourdes Peñalver

“…Smart devices are becoming one of the main information processing devices. Their computing features are reaching levels that let them create a mobile cloud computing network. …”
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Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

“…However, detection is challenged by small crack size, complex morphology, large scale variation, and uneven spatial distribution, further exacerbated by UAVs’ limited onboard computational capacity. To tackle these issues, we introduce an efficient and lightweight small-target detection model, namely YOLO-LSN, which is built upon the optimized YOLO architecture.Firstly, we introduce a Lightweight Dynamic Alignment Detection Head (LDADH) for multi-scale feature fusion, precise alignment, and dynamic receptive field adjustment, optimizing crack feature extraction. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Additionally, DSF-YOLO significantly reduces computational complexity, achieving a 75% reduction in FLOPs and a 47.5% decrease in parameters compared to YOLOv8-X. …”
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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…The proposed approach uses YOLOv8n as the base model and introduces adaptive convolution into the Backbone, allowing the model to dynamically prioritize different disease features. This modification increases the model’s parameter count without adding to the computational cost in terms of floating-point operations. …”
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Cone-beam computed tomography prescription by Brazilian orthodontists by Karine EVANGELISTA, Grasielle Di Manoel CAIADO, Maria do Carmo Matias FREIRE, José VALLADARES-NETO, Maria Alves Garcia SILVA

“…The variables were the orthodontists’ demographic features and the CBCT prescription in clinical practice. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…It enhances multi-scale feature fusion capability via weighted feature fusion, significantly reducing parameter count while improving small target detection capability. …”
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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…Feature selection was conducted using SHapley Additive Explanations (SHAP) and Recursive Feature Elimination (RFE) to enhance interpretability and computational efficiency. …”
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BSE-YOLO: An Enhanced Lightweight Multi-Scale Underwater Object Detection Model by Yuhang Wang, Hua Ye, Xin Shu

“…Firstly, we replace the original neck with an improved Bidirectional Feature Pyramid Network (Bi-FPN) to reduce parameters. …”
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The Cart-Pole Application as a Benchmark for Neuromorphic Computing by James S. Plank, Charles P. Rizzo, Chris A. White, Catherine D. Schuman

“…Finally, we perform a detailed examination of eight example networks from this experiment, that achieve our goals on the difficulty levels, and comment on features that enable them to be successful. Our goal is to help researchers in neuromorphic computing to utilize the cart-pole application as an effective benchmark.…”
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Research on multi class pests identification and detection based on fusion attention mechanism with Mask-RCNN-CBAM by Xingwang Wang, Xingwang Wang, Xingwang Wang, Can Hu, Xufeng Wang, Hainie Zha, Xueyong Chen, Shanshan Yuan, Jing Zhang, Jianfeng Liao, Zhangying Ye

“…The framework combines three innovations: (1) a CBAM attention mechanism to amplify pest features while suppressing background noise; (2) a feature-enhanced pyramid network (FPN) for multi-scale feature fusion, enhancing small pest recognition; and (3) a dual-channel downsampling module to minimize detail loss during feature propagation. …”
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Underwater image enhancement using hybrid transformers and evolutionary particle swarm optimization by Ajay Kumar, Gagandeep Berar, Manmohan Sharma, Sakshi, Ajit Noonia, Gunjan Verma

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Smart Farming: Enhancing Urban Agriculture Through Predictive Analytics and Resource Optimization by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Nasir Ayub, Elham Abdullah Alghamdi, Nourah Fahad Janbi

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Dual-Scale Complementary Spatial-Spectral Joint Model for Hyperspectral Image Classification by Huayue Chen, Yue Sun, Xiang Li, Bochuan Zheng, Tao Chen

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Wilsonian renormalization of neural network Gaussian processes by Jessica N Howard, Ro Jefferson, Anindita Maiti, Zohar Ringel

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A Python toolbox for neural circuit parameter inference by Alejandro Orozco Valero, Víctor Rodríguez-González, Noemi Montobbio, Miguel A. Casal, Alejandro Tlaie, Francisco Pelayo, Christian Morillas, Jesús Poza, Carlos Gómez, Pablo Martínez-Cañada

“…Abstract Computational research tools have reached a level of maturity that enables efficient simulation of neural activity across diverse scales. …”
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