Confidentiality, Loyalty, and Responsibility: The Ethical Triad in Information Systems Management in the Field of National Security by Florentina-Loredana DRAGOMIR

“…They allow the transition from a reactive security model to a proactive one, oriented towards anticipation, compliance, and distributed responsibility. …”
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Research on detection and tracking methods of unmanned ship water targets based on light vision by LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao

“…In terms of target detection, the YOLOv7 algorithm is used, which effectively improves the accuracy and recall rate of target detection by optimizing the loss function. In order to achieve accurate multi-target tracking, combined with self-trained model weights and Sort algorithm, continuous tracking of targets and accurate annotation of center point trajectories are successfully implemented. …”
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Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification by Burooj Ghani, Vincent J. Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa Gill, Dan Stowell

“…These findings provide insights into the optimal reuse of pretrained models for advancing automatic bioacoustic recognition.…”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…A novel method using wheel vibration acceleration is proposed in this paper, in which ensemble empirical mode decomposition (EEMD) is employed to estimate the wavelength, and bispectrum features are extracted to recognize the depth with support vector machine (SVM). Firstly, a vehicle-track coupling model considering the rail corrugation of high-speed railway is established to calculate the wheel vibration acceleration. …”
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A thorough review of energy management and an advanced control techniques for Bi-directional DC-DC converters in electric vehicle applications by Azza Keerthi, C Dhanamjayulu

“…This review analyses prominent control strategies employed for these converters, including Sliding Mode Control (SMC), Model Predictive Control (MPC), and Predictive Function Control (PFC), considering their respective merits and drawbacks under diverse operating conditions. …”
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Informal Settlements Extraction and Fuzzy Comprehensive Evaluation of Habitat Environment Quality Based on Multi-Source Data by Zanxian Yang, Fei Yang, Yuanjing Xiang, Haiyi Yang, Chunnuan Deng, Liang Hong, Zhongchang Sun

“…Specifically, seasonal spectral indices and texture features were constructed using Sentinel and SAR data, combined with the mean decrease impurity (MDI) indicator and hierarchical clustering to optimize feature selection, ultimately using a random forest (RF) model to extract the spatial distribution of informal settlements in Mumbai. …”
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Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning by Negasa Berhanu Fite, Getachew Mamo Wegari, Heidi Steendam

“…Furthermore, the R-squared values of 99.31% and 94.74% for training and testing, respectively, signify a robust predictive performance of the model with low model loss. These findings underscore the efficacy of the proposed PCA-ANN regression model in optimizing VLP systems and providing reliable indoor positioning services.…”
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Revolutionizing Sports: The Role of Wearable Technology and AI in Training and Performance Analysis by Stanisław Dudek, Weronika Koziak, Michalina Makieła, Aleksandra Bętkowska, Agata Kornacka, Wojciech Dudek, Kamila Szostak, Rafał Tomaka, Anna Byra

“…AI-driven analytics, utilizing machine learning, deep learning, and computer vision, enhance performance assessment, injury prediction, and rehabilitation strategies by processing vast datasets to detect fatigue patterns, optimize recovery schedules, and refine tactical decision-making. …”
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Accelerated discovery of near-zero ablation ultra-high temperature ceramics via GAN-enhanced directionally constrained active learning by Wenjian Guo, Fayuan Li, Lingyu Wang, Li'an Zhu, Yicong Ye, Zhen Wang, Bin Yang, Shifeng Zhang, Shuxin Bai

“…Nevertheless, the inherent challenges associated with small data obscure these statistical correlations, impeding machine learning models from effectively capturing the underlying patterns, thereby hampering efficient optimization of material properties. …”
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Design and Experiment of DEM-Based Layered Cutting–Throwing Perimeter Drainage Ditcher for Rapeseed Fields by Xiaohu Jiang, Zijian Kang, Mingliang Wu, Zhihao Zhao, Zhuo Peng, Yiti Ouyang, Haifeng Luo, Wei Quan

“…We mathematically modeled soil cutting–throwing dynamics and blade traction forces, integrating soil rheological properties to refine parameter interactions. …”
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Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits by Jonas Sander, Sebastian Berndt, Ida Bruhns, Thomas Eisenbarth

“…As the models grow larger, both training and inference of machine learning models is increasingly outsourced, e.g. to cloud service providers. …”
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Utilizing Detectron2 for accurate and efficient colon cancer detection in histopathological images by Luxi Chen, Jie Shen, Xinyu Li, Rongzhou Li, Xiaoyun Gao, Xiaoyun Gao, Xinyue Chen, Xinyue Chen, Xiaotian Pan, Xiaotian Pan, Xiaosheng Jin

“…Training and evaluation were conducted on the LC25000 dataset, which contains 10,000 labeled images (5,000 normal and 5,000 cancerous).ResultsThe optimized Detectron2 model achieved an exceptional accuracy of 99.8%, significantly outperforming traditional image analysis methods. …”
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Residual Film–Cotton Stubble–Nail Tooth Interaction Study Based on SPH-FEM Coupling in Residual Film Recycling by Xuejun Zhang, Yangyang Shi, Jinshan Yan, Shuo Yang, Zhaoquan Hou, Huazhi Li

“…Through analyses of the pickup device, key parameters were identified, and a model was built by combining the FEM and SPH algorithms to simulate the interaction of nail teeth, residual film, soil and root stubble. …”
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DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks by Aziz Ur Rehman Badar, Danish Mahmood, Adeel Iqbal, Sung Won Kim, Sedat Akleylek, Korhan Cengiz, Ali Nauman

“…These include imbalanced datasets, sub-optimal feature selection, and the accuracy of attack detection in resource-constrained environments. …”
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Radiomics analysis based on T2-weighed imaging and T2 mapping for staging endometrial fibrosis by Huanhuan Liang, Huanhuan Wang, Yucan Chen, Kaibo Sun, Nan Zhou, Hui Zhu, Peipei Jiang, Ke Ma, Kefeng Zhou, Yali Hu, Zhengyang Zhou

“…Subsequently, logistic regression (LR), support vector machine (SVM), and decision tree (DT) were developed to determine the optimal radiomics models. …”
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Dynamic Electromagnetic Force of Stator Core for Hydro-generators under Phase to Phase Short Circuit with Two Fault Points Close to the Neutral Point by XIAO Shi-yong, WANG Yun-yang, GE Bao-jun

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Forest aboveground carbon storage estimation and uncertainty analysis by coupled multi-source remote sensing data in Liaoning Province by Hancong Fu, Hengqian Zhao, Ge Liu, Yujiao Zhang, Xiadan Huangfu, Jinbao Jiang

“…Finally, selecting 12.5 m as the optimal fitting radius of the model, we obtained the forest AGC stock results at the spot scale of the GEDI and ICESat-2 in the province. …”
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Can Peritumoral Radiomics Based on MRI Predict the Microvascular Invasion Status of Combined Hepatocellular Carcinoma and Cholangiocarcinoma Before Surgery? by Guo L, Huang C, Hao P, Jia N, Zhang L

“…Mutual information and recursive elimination methods were used to select the optimal features. Clinical models and radiomics models were constructed based on six classifiers. …”
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Adjusted imbalance ratio leads to effective AI-based drug discovery against infectious disease by Ons Masmoudi, Afef Abdelkrim, Emna Harigua-Souiai

“…Abstract The success of AI-based pipelines in Drug Discovery (DD) heavily depends on three components: the dataset (size, content, imbalance ratio), the encoding system and the predictive model. This study focuses on optimizing these elements to develop robust predictive models for the biological activity of chemical molecules. …”
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Experimental and numerical investigation on diffusion-absorption refrigeration system using low GWP refrigerant R600, C9H20 and helium by R. Garma, N. Ben-Ezzine, A. Bellagi

“…The heat flow allowing optimal operation of the bubble pump is also determined.The collected experimental data is used to validate a developed HYSYS simulation model of the refrigerator. …”
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