Dynamic Vehicle Scheduling for Working Service Network with Dual Demands by Bing Li, Wei Xu, Hua Xuan, Chunqiu Xu

“…Numerical experiments show that the proposed method produces better solution within reasonable computing time.…”
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A Novel Deployment Scheme Based on Three-Dimensional Coverage Model for Wireless Sensor Networks by Fu Xiao, Yang Yang, Ruchuan Wang, Lijuan Sun

“…Coverage pattern and deployment strategy are directly related to the optimum allocation of limited resources for wireless sensor networks, such as energy of nodes, communication bandwidth, and computing power, and quality improvement is largely determined by these for wireless sensor networks. …”
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Online Energy-Aware Scheduling for Deadline-Constrained Applications in Distributed Heterogeneous Systems by Yifan Liu, Chengelie Du, Jinchao Chen, Xiaoyan Du

“…In the current computing environment, the significance of distributed heterogeneous systems has gained prominence. …”
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Hydrology objects monitoring system by A. I. Kuzmich, O. V. Baranovski, A. N. Valvachev

“…Programs are written in the console version, require a minimum of computing resources. The peculiarity of the system is to minimize the time of decision-making and reducing their subjectivity by reducing the role of the human factor.The complex is intended for use in areas where possible floods of water bodies with disastrous consequences.…”
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An Integrated Supplier-Buyer Inventory Model with Conditionally Free Shipment under Permissible Delay in Payments by Chia-Hsien Su

“…Algorithm for computing the optimal policies is derived. …”
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An effective scheduling in data centres for efficient CPU usage and service level agreement fulfilment using machine learning by Rohit Daid, Yogesh Kumar, Yu-Chen Hu, Wu-Lin Chen

“…Energy efficiency is one of the important parameters in cloud computing which is managed by the data centres. Data centres are computer warehouses that are responsible for storing large volumes of data to deal with the daily transaction handling needs of different productions. …”
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A Totally Relaxed, Self-Adaptive Tseng Extragradient Method for Monotone Variational Inequalities by Olufemi Johnson Ogunsola, Olawale Kazeem Oyewole, Seithuti Philemon Moshokoa, Hammed Anuoluwapo Abass

“…Notably, it requires computing only a single projection onto a half space. …”
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A hybrid hierarchical health monitoring solution for autonomous detection, localization and quantification of damage in composite wind turbine blades for tinyML applications by Nikhil Holsamudrkar, Shirsendu Sikdar, Akshay Prakash Kalgutkar, Sauvik Banerjee, Rakesh Mishra

“…Also, the data generated due to AE waveforms at a minimum sampling rate of 1MSPS is huge, requiring tinyML enabled hardware for real time ML models which can reduce the size of cloud storage required. …”
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Feed efficiency and surplus feed intake among Norwegian Red dairy cows by Daniel Muluwork Atsbeha, Alemayehu Kidane

“…Feed efficiency of each cow was then estimated in 2 ways: first by computing a feed efficiency score as a ratio of the prediction from the SFRF to the observed feed intake of each cow, and second by computing surplus feed intake (SFI) of each cow as a difference between observed and predicted feed intake. …”
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Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks by Dorsaf Ghozlani, Aymen Omri, Seifeddine Bouallegue, Hela Chamkhia, Ridha Bouallegue

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A Method of Complex Disclosure Risk Assessment for Microdata by Andrzej Młodak

“…Moreover, the Shapley and solidarity values—two alternative solutions in cooperative game theory with properties that make them effective tools for this purpose—are employed to assess particular variables’ contribution to the total individual and global risk, using the idea of minimum unsafe combinations. To some extent, this proposal refers to the Special Uniques Detection Algorithm (SUDA) and may function as its extension toward computing overall risk that takes into account both categorical and continuous variables. …”
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Energy-Efficient Node Selection Algorithms with Correlation Optimization in Wireless Sensor Networks by Hongju Cheng, Zhihuang Su, Daqiang Zhang, Jaime Lloret, Zhiyong Yu

“…The sensing data of nodes is generally correlated in dense wireless sensor networks, and the active node selection problem aims at selecting a minimum number of nodes to provide required data services within error threshold so as to efficiently extend the network lifetime. …”
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Provisioning of Live Container Migration in Edge/Cloud Environments: Techniques and Challenges by Radhwan Al-Bayram, Rawaa Qasha

“…In IoT applications and edge/cloud deployment, the live container migration can substantially reduce computing system overheads by minimizing the migration time and transmitting minimum memory pages from the source host without interrupting the service process. …”
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The Model of Socio-Economic Stratification of Society Based on An Agent Approach, Taking Into Account Rank Exchange by V. A. Kapitanov, O. S. Osipova, A. U. Maksimova

“…To achieve this goal, it was necessary to solve the following tasks:1. To develop minimum criteria for the adequacy of mathematical models of socio-economic inequality.2. …”
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Assembly-free reads accurate identification (AFRAID) approach outperforms other methods of DNA barcoding in the walnut family (Juglandaceae) by Yanlei Liu, Kai Chen, Lihu Wang, Xinqiang Yu, Chao Xu, Zhili Suo, Shiliang Zhou, Shuo Shi, Wenpan Dong

“…Specifically, we determined (1) the accuracy of DNA barcoding approaches in delimiting species in Juglandaceae, (2) the minimum size of chloroplast dataset for species discrimination, and (3) minimum amount of next generation sequencing (NGS) data required for species identification. …”
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UTILIZING QUANTUM-ENHANCED DYNAMIC CLUSTERING FOR OPTIMIZED PATH SELECTION IN WBANS FEATURING OPTICAL BIOSENSORS TECHNOLOGY by Poonam Sharma, Kamaljit Singh Saini, Prabhjot Kaur

“…Moreover, the node with minimum energy gets selected for cluster head to maintain the network communication. …”
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Reconstruction of Harmonic and Transient Electrical Signals Through Compressed Sensing Technique by Oscar Vite, Felipe Uribe, C. A. Lopez de Alba

“…The harmonic signal under study of 6.25k samples was reduced to a subsampling range between 100-3.7k samples with a minimum processing time of 0.1053s. The transient signal with 10k samples, was reduced to a range of 500-2.7k samples with a minimum processing time of 0.0861s. …”
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VLSI design of symmetric two-dimensional finite impulse response filter architecture using approximate circuits and parallel Processing by Venkata Krishna Odugu, Gade Harish Babu, Janardhana Rao B, C Venkata Narasimhulu

“…The suggested filter design demonstrates minimum resource requirements in terms of hardware components and computational power. …”
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Optimasi Convolutional Neural Network Untuk Deteksi Covid-19 pada X-ray Thorax Berbasis Dropout by I Gede Totok Suryawan, I Putu Agus Eka Darma Udayana

“…Using dropout layers proved could produce more efficient layers and more powerful classifiers while keeping training time to a minimum. …”
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Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS by Paresh Kulkarni, Satish Chinchanikar

“…Soft computing techniques, with their self-learning capabilities, fuzzy principles, and evolutionary computational philosophy, are being increasingly utilized in modeling complex machining processes. …”
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