A crowdsensing-based framework for sound and vibration data analysis in smart urban environments by Boban DAVIDOVIC, Sanja DEJANOVIC, Maja DAVIDOVIC

“…Our framework empowers city stakeholders, offering insights for informed decisions in urban planning, transportation, infrastructure maintenance, and public health. Key features of our system include data acquisition through mobile crowdsensing application, advanced signal processing algorithms for noise and vibration identification, and the integration of geospatial information to provide location-specific context. …”
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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning by Qingli Liu, Yongjie Ma

“…Finally, the global model parameters are fed back to the vehicles to further optimize the local resource allocation strategy, thus improving the system spectrum efficiency. The simulation results show that the system spectrum efficiency is improved by 19.1% on average compared with the centralized DDPG, MADDPG, MAPPO and FL-DuelingDQN algorithms in the Vehicle Networking scenario, while the transmission success rate of the V2V link is improved by 9.3% on average, and the total capacity of the V2I link is increased by 16.1% on average.…”
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METHODOLOGICAL APPROACH TO PRODUCTIVITY ASSESSMENT OF HYPOARCTIC SHRUBS ON THE TAIMYR PENINSULA by A. I. Bondarev, D. A. Mashukov

“…The authors present the algorithm for measuring and calculating the fractional composition of aboveground biomass and annual productivity using the index of biomass annual increment. …”
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Families of $d=2$ 2D subsystem stabilizer codes for universal Hamiltonian quantum computation with two-body interactions by Phattharaporn Singkanipa, Zihan Xia, Daniel A. Lidar

“…Additionally, we provide an algorithm to map the required qubit connectivity graph into graphs compatible with the locality constraints of quantum hardware. …”
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Interaction between Viscoelastic Composite Beams and Vehicles by a Decoupled Method and Its Application in Engineering by Xia Zhang, Enli Chen, Wei Jiang, Guoqing Wang, Ali Wu

“…Thus, this paper presents a decoupled method named the separation reconstruction algorithm. To theoretically verify whether the separate construction (SR) algorithm is consistent with the direct coupling (DC) algorithm, two dynamic system models of a Bernoulli–Euler composite beam under a moving vehicle are established, which correspond to the two algorithms. …”
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A Context-Aware Android Malware Detection Approach Using Machine Learning by Mohammed N. AlJarrah, Qussai M. Yaseen, Ahmad M. Mustafa

“…The Android platform has become the most popular smartphone operating system, which makes it a target for malicious mobile apps. …”
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Advances in sensor technologies for breast cancer detection: a comprehensive review of imaging and non-imaging approaches by Emmy Bhatti, Prabhpreet Kaur

“…This research highlights the potential of a multi-sensor system, driven by real-time monitoring and powered by machine learning algorithms, to address the gaps in breast cancer diagnosis. …”
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Automatic Tuning of Extended Kalman Filter in Sensorless Synchronous Reluctance Motor Drives by Saverio Rigon, Benedikt Haus, Paolo Mercorelli, Mauro Zigliotto

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Statistical assessment of interrelationship of marriage and divorces to fertility by A. B. Sinelnikov, O. A. Zolotareva, M. D. Khabib

“…The methodology for analyzing interrelationship of marriage and divorces to fertility has been proposed, approbation of which has been carried out on the basis of the modern system of statistical accounting, which allowed to form a unique system of statistical indicators of marriage and divorce. …”
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Traffic accident severity prediction based on an enhanced MSCPO-XGBoost hybrid model by Fei Chen, Xiang Qun Liu, Jian Jun Yang, Xu Kang Liu, Jing Hui Ma, Jia Chen, Hua Yu Xiao

“…This study proposes a novel severity prediction framework based on a Modified Stochastic Crested Porcupine Optimizer (MSCPO) combined with the XGBoost algorithm. The model was trained on 4287 accident cases from China’s National Automobile Accident In-depth Investigation System (NAIS), collected between 2018 and 2023. …”
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Fused Space in Architecture via Multi-Material 3D Printing Using Recycled Plastic: Design, Fabrication, and Application by Jiangjing Mao, Lawrence Hsu, Mai Altheeb

“…The innovation of multi-material offers significant benefits to architectural systems. The fusion of multiple materials, transitioning from one to another in a graded manner, enables the creation of fused space without the need for mechanical connections. …”
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BIM and AI Integration for Dynamic Schedule Management: A Practical Framework and Case Study by Heap-Yih Chong, Xinyi Yang, Cheng Siew Goh, Yan Luo

“…Future work should focus on enhancing human resource management modules and refining system usability for broader adoption.…”
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Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning by Ming Sun, Yihe Zhong, Xiaoou He, Jie Zhang

“…Simulation results indicate that the proposed MDRL-UL can achieve higher energy efficiency and transmission rates than other algorithms.…”
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Energy-efficient data collection optimization for dual-UAV-assisted relay marine networks by Fukang Deng, Haibo Luo, Furong Xu, Ming Li, Jianshan Zhang

“…Simulation results demonstrate that, compared with several benchmark algorithms, the proposed joint optimization algorithm significantly reduces the total system energy consumption while ensuring the successful completion of all data collection.…”
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A novel mosaic adaptive attention network for multispectral imaging reconstruction by Zhongqiang Zhang, Fanyang Meng, Dahua Gao, Haoyong Li

“…The experimental results show that the proposed MAAN algorithm outperforms existing CNN-based multispectral image reconstruction algorithms.…”
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Development and evaluation of accurate 3D human models using scan data: a comparison with SMPL and CLO models by Gyungin Jung, Minjoo Kang, Sungmin Kim

“…This study introduces a novel 3D human modeling framework that combines skeleton-driven deformation algorithms with high-resolution 3D body scan data to generate anatomically accurate virtual bodies. …”
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Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality by Jing Huang, Qing Chang, Hua-Tzu Fan

“…It poses great challenges to design and management of automotive manufacturing system, among which is the proper sequencing of vehicles in everyday operation of the paint shop. …”
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About need to improve game resource management by V. G. Safonov, V. M. Glushkov

“…Feasible and urgently needed goal for the nearest future is the improvement of the monitoring system and the quota system as well as the eradication of poaching not only by enhancing the control and repressive measures, but also by improving management of resource potential.…”
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Reference and fiducial Points of Modern intra-corporate capital flow control in the organization and the functioning of an Economic Entity by А. V. Bodiako, S. V. Ponomareva, T. M. Rogulenko

“…The internal corporate financial control service (IFC) is an integral functional element of the management system of both the company as a whole and its individual business processes, along with accounting and economic and financial analysis. …”
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Explainable AI supported hybrid deep learnig method for layer 2 intrusion detection by Ilhan Firat Kilincer

“…The study, CL2-IDS dataset and hybrid DL model, combinations of CNN and Bi-LSTM algorithms, facilitates the intrusion detection and exemplifies how DL models and XAI techniques can be used to support IDS systems.…”
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