BESW-YOLO: A Lightweight SAR Image Detection Model Based on YOLOv8n for Complex Scenarios by Xiao Tang, Kun Cao, Yunzhi Xia, Enkun Cui, Weining Zhao, Qiong Chen

“…First, we introduce a novel lightweight feature pyramid network, bidirectional and multiscale attention feature pyramid network, which effectively enhances the fusion of features across different scales. …”
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LAVID: A Lightweight and Autonomous Smart Camera System for Urban Violence Detection and Geolocation by Mohammed Azzakhnini, Houda Saidi, Ahmed Azough, Hamid Tairi, Hassan Qjidaa

“…Our proposed system, named LAVID, is based on a depthwise separable convolution model (DSCNN) combined with a bidirectional long-short-term memory network (BiLSTM) and implemented on a lightweight smart camera. …”
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Náboženská a církevně-správní situace na Chrudimsku v 18. století ve světle zpovědních výkazů by Ladislav Nekvapil

“…Specific examples from noble and civic circles illustrate the basic features of the recatholisation witnessed by the Chrudim region in the period after White Mountain. …”
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Modulation instability control via evolutionarily optimized optical seeding by Sader Lynn, Boussafa Yassin, Hoang Van Thuy, Haldar Raktim, Kues Michael, Wetzel Benjamin

“…Controlling nonlinear pulse propagation in optical fibers is paramount for applications spanning spectroscopy and optical communication networks. However, the inherent complexity of laser pulse evolution in matter, shaped by the interplay of nonlinearity and dispersion, poses significant challenges in experimental situations. …”
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Finding a suitable chest x-ray image size for the process of Machine learning to build a model for predicting Pneumonia by Kriengsak Yothapakdee, Yosawaj Pugtao, Sarawoot Charoenkhun, Tanunchai Boonnuk, Kreangsak Tamee

“…The neural network algorithm achieved an accuracy rate of 87.00% across different image sizes. …”
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Secure data transmission in geographically distributed information systems in ophthalmology based on domestic equipment by I.A. Ushakov, R.I. Dementiev, D.Ya. Derzhko

“…This «overlay» VPN reduces the participation of the provider in organizing a connection with a large number of users compared to analogues of the «peer-to-peer» type. Purpose. To evaluate the features of the transition to Eltex equipment when building a DMVPN in geographically distributed information systems in ophthalmology. …”
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Optimizing conductive properties of polymer carbon nanofiber composites: Insights from an extended Hui-Shia model by Yasser Zare, Muhammad Tajammal Munir, Kyong Yop Rhee, Soo-Jin Park

“…In this study, the Hui-Shia model is simplified and advanced to accurately foresee the PCNF conductivity by incorporating the main features of CNFs, interphase, and tunnels. The volume fraction of the CNF/interphase network is derived based on the onset of percolation and effective CNF content, while the total conductivity of CNF and tunnels is expressed through tunneling properties. …”
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Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data by Tao Zhang, Biyao Wang, Pengtao Yan, Kunlun Wang, Xu Zhang, Huihui Wang, Yan Lv

“…On this basis, the color combined with spectra at feature wavelengths, texture combined with spectra at feature wavelengths, and color-texture combined with spectra at feature wavelengths were independently set as the input, for the modeling of salmon adulteration identification based on the self-organizing feature map (SOM) network. …”
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Few-Shot Segmentation Using Multi-Similarity and Attention Guidance by Ehtesham Iqbal, Sirojbek Safarov, Seongdeok Bang, Sajid Javed, Yahya Zweiri, Yusra Abdulrahman

“…The attention module instructs the MSANet to concentrate on class-relevant information. We evaluated the proposed network on standard FSS datasets, PASCAL-<inline-formula><tex-math notation="LaTeX">$5^{i}$</tex-math></inline-formula> 1-shot, PASCAL-<inline-formula><tex-math notation="LaTeX">$5^{i}$</tex-math></inline-formula> 5-shot, COCO-<inline-formula><tex-math notation="LaTeX">$20^{i}$</tex-math></inline-formula> 1-shot, and COCO-<inline-formula><tex-math notation="LaTeX">$20^{i}$</tex-math></inline-formula> 5-shot. …”
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A Variational-Mode-Decomposition-Cascaded Long Short-Term Memory with Attention Model for VIX Prediction by Do-Hyeon Kim, Dong-Jun Kim, Sun-Yong Choi

“…Experimental evaluations using VIX and S&P 500 data from January 2020 to December 2024 demonstrate the superior predictive capability of the proposed model compared to seven benchmark models. …”
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Monocular Object-Level SLAM Enhanced by Joint Semantic Segmentation and Depth Estimation by Ruicheng Gao, Yue Qi

“…Addressing these problems, we propose a monocular object-level SLAM system enhanced by real-time joint depth estimation and semantic segmentation. The multi-task network, called JSDNet, is designed to predict depth and semantic segmentation simultaneously, with four contributions that include depth discretization, feature fusion, a weight-learned loss function, and semantic consistency optimization. …”
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A Data-Driven Comparative Analysis of Machine-Learning Models for Familial Hypercholesterolemia Detection by Tomasz Kocejko

“…The initial dataset comprised over 100 parameters per patient, which was reduced to 48 clinically accessible features to ensure applicability in routine outpatient settings. …”
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Enhancing small target traffic sign detection with ML_SAP in YOLOv5s by Zhenguo Lu, Zhibo Zhu, Weipeng Xu, Guixian Li, Jinyang Chen

“…This improvement is accompanied by the adoption of a WIoU loss function, which evaluate the quality of anchor boxes. Moreover, the ML_SAP mechanism is designed to promotes the fusion and extraction of features at different levels. …”
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Intelligent policy framework: Natural resource conservation, knowledge and big data analytics by Nina Xiao, Xianhe Qu

“…Bayesian inference constructs a conditional probability network to model and analyze complex relationships in a multi-factor environment, allowing for dynamic updates of the influences of various factors and providing precise evaluations of natural resource protection policies. …”
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An artificial EMG generation model based on signal-dependent noise and related application to motion classification. by Akira Furui, Hideaki Hayashi, Go Nakamura, Takaaki Chin, Toshio Tsuji

“…The results of experiments conducted, in which the reproduction capability of the proposed model was evaluated through comparison with measured EMG signals in terms of amplitude, frequency content, and EMG distribution demonstrate that the proposed model can reproduce the features of measured EMG signals. …”
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Construction of a disease risk prediction model for postherpetic pruritus by machine learning by Zheng Lin, Yuan Dou, Ru-yi Ju, Ping Lin, Yi Cao

“…Five models, logistic regression, random forest (RF), k-nearest neighbor, gradient boosting decision tree and neural network, were built in the training set using machine learning methods, and the performance of these models was evaluated in the test set.ResultsSeven non-zero characteristic variables from the Lasso regression results were selected for inclusion in the model, including age, moderate pain, time to recovery from rash, diabetes, severe pain, rash on the head and face, and basophil ratio. …”
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Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma by Jianpeng Liu, Chuyun Shen, Shufan Jiang, Yanfei Wu, Jiaqi Tu, Yifang Bao, Haiqing Li, Na Wang, Ying Liu, Ji Xiong, Xueling Liu, Yuxin Li

“…Five classifiers including Random Forest (RF), Support Vector Machine (SVM), Logistic Regression (LR), Neural Network (NN) and Decision Tree (DT) were evaluated for EGFR amplification prediction. …”
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Advancing personalized, predictive, and preventive medicine in bladder cancer: a multi-omics and machine learning approach for novel prognostic modeling, immune profiling, and ther... by Han Yan, Xinyu Ji, Bohan Li

“…ObjectiveThis study aimed to identify and analyze immunogenic cell death (ICD)-related multi-omics features in bladder cancer (BLCA) using single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data. …”
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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…Secondly, it innovatively integrates a new small object detection layer into the feature fusion layer, which enhances the detection ability by combining shallow and deep feature maps so as to learn small object features more effectively. …”
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Advanced air quality prediction using multimodal data and dynamic modeling techniques by Umesh Kumar Lilhore, Sarita Simaiya, Rajesh Kumar Singh, Abdullah M. Baqasah, Roobaea Alroobaea, Majed Alsafyani, Afnan Alhazmi, M. D. Monish Khan

“…CNNs extract spatial pollutant patterns from satellite images, whereas BiLSTM networks simulate temporal dynamics in pollutant and weather data. …”
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