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作者： Zhang, Yiqian Wang, Yue Department of Computer Science Jinan Vocational College Jinan China Division of Public Teaching Jinan Vocational College Jinan China

With the advancement of technology, data visualization has become one of the research hotspots. In big data analysis, data visualization is a very important means, and through visualization software, data related to specific changes can be easily discovered. This article takes the remote dynamic loading algorithm of data as the research object, the alarm system as the research object, and the data dimensionality reduction as the foundation. It studies the visualization environment of Binary Classification data, and studies the visual design, implementation, and visualization process of the remote dynamic loading algorithm of data. The research results indicate that the analysis results of the paper’ system in terms of accuracy, recall, and F1 value are superior to other algorithms (the accuracy of the paper’ system is higher than 80%, with a minimum recall rate of 77% and an F1 value of 0.85). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data accuracy

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Android Malware Detection Using ResNet-50 Stacking

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computers, Materials & Continua 2023年第2期74卷 3997-4014页

作者： Lojain Nahhas Marwan Albahar Abdullah Alammari Anca Jurcut Department of Computer Science Umm Al Qura UniversityP.O.Box 715MeccaSaudi Arabia Curriculums and Teaching Department Faculty of EducationUmm Al Qura UniversityP.O.Box 715MeccaSaudi Arabia School of Computer Science University College DublinBelfieldDublinIreland

There has been an increase in attacks on mobile devices,such as smartphones and tablets,due to their growing *** malware is one of the most dangerous threats,causing both security breaches and financial *** malware is likely to continue to evolve and proliferate to carry out a variety of cybercrimes on mobile *** malware specifically targets Android operating system as it has grown in *** rapid proliferation of Android malware apps poses a significant security risk to users,making static and manual analysis of malicious files ***,efficient identification and classification of Androidmalicious files is *** ConvolutionalNeuralNetwork(CNN)basedmethods have been proposed in this regard;however,there is still room for performance *** this work,we propose a transfer learning and stacking approach to efficiently detect the Android malware files by utilizing two wellknown machine learning models,ResNet-50 and Support Vector Machine(SVM).The proposed model is trained on the DREBIN dataset by transforming malicious APK files into grayscale *** model yields higher performance measures than state-of-the-art works on the DREBIN dataset,where the reported measures are accuracy,recall,precision,and F1 measures of 97.8%,95.8%,95.7%,and 95.7%,respectively.

关键词： Androidmalware convolutional neural network malware analysis malware classification image classification support vector machine

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BIFURCATION ANALYSIS IN A PREDATOR-PREY MODEL WITH AN ALLEE EFFECT AND A DELAYED MECHANISM

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Acta Mathematica Scientia 2023年第3期43卷 1415-1438页

作者：李丹阳刘华张濠天马明叶勇魏玉梅 School of Mathematics and Computer Science Northwest Minzu UniversityLanzhou730000China School of Science Harbin Institute of Technology(Shenzhen)Shenzhen518055China Experimental Teaching Department Northwest Minzu UniversityLanzhou730030China

Regarding delay-induced predator-prey models, much research has been done on delayed destabilization, but whether delays are stabilizing or destabilizing is a subtle issue. In this study, we investigate predator-prey dynamics affected by both delays and the Allee effect. We analyze the consequences of delays in different feedback mechanisms. The existence of a Hopf bifurcation is studied, and we calculate the value of the delay that leads to the Hopf bifurcation. Furthermore, applying the normal form theory and a center manifold theorem, we consider the direction and stability of the Hopf bifurcation. Finally, we present numerical experiments that validate our theoretical analysis. Interestingly, depending on the chosen delay mechanism, we find that delays are not necessarily destabilizing. The Allee effect generally increases the stability of the equilibrium, and when the Allee effect involves a delay term, the stabilization effect is more pronounced.

关键词： delays Allee effect Hopf bifurcation stability

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Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias 41

Two-Stage Shadow Inclusion Estimation: An IV Approach for Ca...

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41st International Conference on Machine Learning, ICML 2024

作者： Li, Baohong Wu, Anpeng Xiong, Ruoxuan Kuang, Kun College of Computer Science and Technology Zhejiang University Hangzhou China Department of Quantitative Theory & Methods Emory University Atlanta United States

Latent confounding bias and collider bias are two key challenges of causal inference in observational studies. Latent confounding bias occurs when failing to control the unmeasured covariates that are common causes of treatments and outcomes, which can be addressed by using the Instrumental Variable (IV) approach. Collider bias comes from non-random sample selection caused by both treatments and outcomes, which can be addressed by using a different type of instruments, i.e., shadow variables. However, in most scenarios, these two biases simultaneously exist in observational data, and the previous methods focusing on either one are inadequate. To the best of our knowledge, no approach has been developed for causal inference when both biases exist. In this paper, we propose a novel IV approach, Two-Stage Shadow Inclusion (2SSI), which can simultaneously address latent confounding bias and collider bias by utilizing the residual of the treatment as a shadow variable. Extensive experimental results on benchmark synthetic datasets and a real-world dataset show that 2SSI achieves noticeable performance improvement when both biases exist compared to existing methods. Copyright 2024 by the author(s)

关键词： Colliding beam accelerators

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Online learning of computer science to schoolchildren using interactive educational posters 1

Online learning of computer science to schoolchildren using ...

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1st International Conference on Technology Enhanced Learning in Higher Education, TELE 2021

作者： Kulikova, Natalia Y. Danilchuk, Elena V. Sergeev, Alexey N. Lukicheva, Anna V. Volgograd State Social-Pedagogical University Department of Computer Science and Methods of Teaching Computer Science Volgograd Russia Department of Computer Science and Methods of Teaching Computer Science Russia Municipal Educational Institution Volgograd Russia

ISBN: (纸本)9781665443968

This article deals with questions of organization online schoolchildren training using interactive posters as multidimensional didactic tools for a computer science teacher. The concept of 'interactive posters' discusses and shows their important role for activating and managing the activities of schoolchildren in full-time and remote forms of interaction. We are considering the design and development of interactive posters on the web platform with the specifics of training in informatics and overcoming the problems of modern schoolchildren related to clip thinking. © 2021 IEEE.

关键词： Personnel training

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Current Trends in Artificial Intelligence for Educational Advancements

Current Trends in Artificial Intelligence for Educational Ad...

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2024 International Conference on Decision Aid sciences and Applications, DASA 2024

作者： Al-Tarawneh, Abdallah M. A. Alomoush, Reem Abdelkareem Ul Islam, Tanveer Janjua, Jamshaid Iqbal Abbas, Tahir Ihsan, Anaum Al-Ahliyya Amman University Clinical Psychology Amman Jordan Yarmouk University Faculty of Educational Sciences Department of Curricula and Methods of Teaching Jordan TIMES Institute Department of Computer Science Multan60000 Pakistan Lahore Pakistan

ISBN: (纸本)9798350369106

The focus of this paper is the integration of artificial intelligence (AI) within the educational field including but not limited to, adaptive learning, teaching evaluation, online learning environments, and individualized instruction. The authors investigate the positive role of AI in enhancing teaching performance and the quality of students' learning experiences. The study aims to demonstrate what role AI may play in the course of education development and practice improvement. It also sheds light on the limitations AI will have in the realm of education, such as accessibility, data ownership, and ethical issues. The paper does not contain only the limitations but the opportunities for this technology as well and describes how AI could be effectively incorporated into education, subsequently providing insights into the evolution of AI-based educational transformation. © 2024 IEEE.

关键词： Federated learning

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THE INCLUSION-EXCLUSION PRINCIPLE AND RECURRENCES FOR PARTITION NUMBERS

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2025年第1期87卷 97-106页

作者： Ballantine, Cristina Merca, Mircea Department of Mathematics and Computer Science College of The Holy Cross WorcesterMA01610 United States Department of Mathematical Methods and Models Fundamental Sciences Applied in Engineering Research Center National University of Science and Technology Politehnica Bucharest BucharestRO-060042 Romania Academy of Romanian Scientists BucharestRO-050044 Romania

The inclusion-exclusion principle together with Legendre type theorems for number of distinct restricted partitions weighted by the parity of their length are used to give several recurrence relations for restricted partition numbers as well as for overpartition numbers. In the case of overpartitions, POD partitions and 3-color partitions, we give combinatorial proofs for the Legendre type theorems and arrive to combinatorial proofs for the recurrence relations. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Combinatorial mathematics

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Evolving Safety Protocols: Deep Learning-Enabled Detection of Personal Protective Equipment 1

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4th International Conference on computer Vision, High-Performance Computing, Smart Devices, and Networks, CHSN 2023

作者： Alahmid, Mustafa Bhimani, Kishankumar Saradva, Khushbu Ghildiyal, Sushil Saeedi, Sayed Aryan Ali, Saraa Yan, Han Filippov, Evgeny Faculty of Computer Science and Technology Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia Laboratory on AI for Computational Biology Faculty of Computer Science HSE University Moscow Russia Department of Computer Science and Engineering Indian Institute of Technology Ropar Punjab India Laboratory of Methods for Big Data Analysis Faculty of Computer Science HSE University Moscow Russia Deggendorf Institute of Technology Bavaria Germany

ISBN: (数字)9789819777945

ISBN: (纸本)9789819777938

To give shift in safety protocols, we have employed advanced deep learning algorithms and frameworks (Shrestha and Mahmood in IEEE Access 7:53,040–53,065, 2019 [25]) to construct an innovative AI model. The designed model detects the usage of personal protective equipment (PPE) (Personal protective equipment. Geneva: World Health Organization, 2020 [18]) by workers in high-risk industries such as construction and manufacturing. We have used Google’s TensorFlow object detection API (Sai and Sasikala in Object detection and count of objects in image using tensor flow object detection API, pp 542–546, 2019 [22]) to modify and train a model for dual purposes: PPE detection and face recognition. The state-of-the-art of this research is to substantially enhance safety compliance by addressing the prevalent issue of PPE non-compliance. To emphasis this, we have developed a pioneering software prototype that synergizes PPE detection with a face recognition-based clock-in system. This prototype demonstrates impressive object detection metrics with a mean average precision (mAP) of 0.9 for vests and 0.85 for helmets. Moreover, it exhibited efficient face recognition with a successful threshold range of 17–20%. The implementation of AI in our system promises significant enhancements to worker safety, while concurrently reducing the financial burden associated with big hazards and accidents. Beyond the development and performance of the system, this paper provides a thorough exploration of the encountered challenges, potential real-world applications (particularly in employee monitoring and clock-in systems), and the future implications of this study on research and practical applications in the field of AI-integrated safety compliance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Software prototyping

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An Integrated Control Framework for Safe and Ergonomic Human-Drone Interaction in Industrial Warehouses

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3570-3585页

作者： Proia, Silvia Cavone, Graziana Scarabaggio, Paolo Carli, Raffaele Dotoli, Mariagrazia University of Modena and Reggio Emilia Department of Sciences and Methods for Engineering Modena41121 Italy University Roma Tre Department of Civil Computer Science and Aeronautical Technologies Engineering Rome00154 Italy Polytechnic of Bari Department of Electrical and Information Engineering Bari70126 Italy

This study introduces a novel control framework for human-drone interaction (HDI) in industrial warehouses, targeting pick-and-delivery operations. The goals are to enhance operator safety as well as well-being and, at the same time, to improve efficiency and reduce production costs. To these aims, the speed and separation monitoring (SSM) operation method is employed for the first time in HDI, drawing an analogy to the safety requirements outlined in collaborative robots' ISO standards. The so-called protective separation distance is used to ensure the safety of operators engaged in collaborative tasks with drones. In addition, we employ the rapid upper limb assessment (RULA) method to evaluate the ergonomic posture of operators during interactions with drones. To validate the proposed approach in a realistic industrial setting, a quadrotor is deployed for pick-and-delivery tasks along a predefined trajectory from the picking bay to the palletizing area, where the interaction between the drone and a moving operator takes place. The drone navigates toward the interaction space while avoiding collisions with shelves and other drones in motion. The control strategy for the drone cruise navigation integrates simultaneously the time-variant artificial potential field (APF) technique for trajectory planning and the iterative linear quadratic regulator (LQR) controller for trajectory tracking. Differently, in the descent phase, the receding horizon LQR algorithm is employed to follow a trajectory planned in accordance with the SSM, which starts from the approach point at the border of the interaction space and ends in the volume with the operator's minimum RULA. The presented control strategy facilitates drone management by adapting the drone's position to changes in the operator's position while satisfying HDI safety requirements. The results of the proposed HDI framework simulations for the case study demonstrate the effectiveness of the method in ensuring a safe and er

关键词： ISO Standards

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Influence of the Sequence of Drilling Fields on the Maximum Total Gas Production 16

Influence of the Sequence of Drilling Fields on the Maximum ...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Skiba, Alexander Federal Research Center 'Computer Science and Control' of Ras Department of Mathematical Methods of Regional Programming Moscow Russia

We analyze an aggregated dynamic model for the development of gas fields. The same company consistently drills all fields. We pose and solve the problem of maximizing accumulated gas production over a predetermined pe... 详细信息

ISBN: (纸本)9798350337907

关键词： Gas industry

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