Efficient and accurate identification of maize rust disease using deep learning model by Pei Wang, Pei Wang, Jiajia Tan, Yuheng Yang, Yuheng Yang, Tong Zhang, Pengxin Wu, Xinglong Tang, Hui Li, Xiongkui He, Xinping Chen

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Refining Sparse Cell-ID Trajectory of Public Service Vehicles by Spatiotemporal Modelling by Kemin Zhu, Junli Liu, Xianfeng Song, Weifeng Wang, Hao Chen

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Integrating the contribution of museums for building peaceful and inclusive society and promoting justice by Li Xiang, Tanot Unjah, Sharina Abdul Halim

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« L’intimité, moi je la fais. » L’intimité masculine incarcérée : entre intrusions contraignantes et tactiques négociées by Anaïs Tschanz

“…It is often overlooked, however, particularly when it relates to male prisoners, whose need for privacy seems to conflict with the performativity of gender expected in an environment where hypermasculinity reigns. By referring to the concept of “tactics”, this paper aims to understand the agentic practices male prisoners deploy to (re)build meaningful privacy, through the daily negotiation of their carceral space and the items which compose it. …”
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Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network by Mohamad-Rida Mortada, Abbass Nasser, Alaaeddine Ramadan, Koffi-Clement Yao, Ali Mansour

“…By proposing LIBRO-based EH-CWSN, we aim to eliminate energy constraints on the nodes and reduce the need for frequent battery replacements in EH-CWSN, thus enabling deployment in challenging environments. Additionally, LIBRO’s unique feature of minimizing nodes’ cooperation during routing offers advantages for protecting Primary Users (PUs) against interference caused by secondary transmissions. …”
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Unlocking the potential of micro-hydropower in water distribution networks: a comprehensive systematic review for Malaysia’s sustainable energy future by Muhammad Fazrulilahi Abdul Rahman, Norashikin Ahmad Kamal, Jazuri Abdullah, Emanuele Quaranta, Sangmin Shin

“…With the rising interest in sustainable energy, there is a potential for enhanced integration of micro-hydropower (MHP) with water distribution networks (WDNs) for energy generation and pressure regulation. The deployment of this technology in Malaysia has been impeded by several obstacles. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…This, alongside their high computational and memory demands, limits the applicability of CNNs for edge deployment and applications where computational resources are constrained. …”
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A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision by Qinzhi Hao, Tengyu Jing, Yao Sun, Zhuolin Yang, Jiali Zhang, Jiapeng Wang, Wei Wang

“…Leveraging the successful deployment of recommendation systems in commerce and online applications, this paper pioneers a framework tailored for UAV maneuvering decisions. …”
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Numerical Calibration Method for Vehicle Velocity Data from Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization... by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Honggang Wang, Ming Li, Jinchao Xiao

“…By calibrating the electronic vehicle velocity based on the registration identification, the accuracy of velocity detection in different application environments can be improved. Moreover, the method can establish an accurate foundation for application in traffic flow management, environmental protection, traffic congestion fee collection, and special vehicle traffic management.…”
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Meteorological conditions for growing promising grape cultivars in the Black Sea agroecological zone of viticulture by V. S. Petrov, A. A. Marmorshtein, M. I. Pankin, D. M. Tsiku, M. D. Larkina

“…The pattern and duration of the grape plant growing season depends both on biological characteristics of plants and the environmental conditions of their habitat. Studying meteorological conditions and their effect on the growing phases of grape cultivars of different origin is important to optimize the deployment of these cultivars.Materials and methods. …”
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Seeing the Sound: Multilingual Lip Sync for Real-Time Face-to-Face Translation by Amirkia Rafiei Oskooei, Mehmet S. Aktaş, Mustafa Keleş

“…This transformative framework is primed for deployment in immersive environments such as VR/AR, Metaverse ecosystems, and advanced video conferencing platforms. …”
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Research on a stable clustering algorithm based on the optimal connectivity power for wireless sensor networks by LI Fang-min1, LIU Xin-hua1, KUANG Hai-lan1, FANG Yi-lin1

“…In realistic environment, the actual layout of nodes is easy to make network separated and nodes are always densely deployed in hot spots like the site of an accident or disaster where the competition intense was very high.A stable clustering algorithm based on the optimal connectivity power for wireless sensor networks was proposed.The algorithm makes use of the alterable power control technology to raise the channel utilization ratio and network throughput based on the optimal number of neighbors, and realizes the stable connectivity and clustering of network.The algorithm simplifies the topology of network so that prolong the network lifetime at the best.The simulation results show that the algorithm maintains the connectivity and stability of network effectively, and has good auto-adapted ability to environment and obvious effects in the promotion of whole performance of network.…”
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Ice-nucleating particles active below −24 °C in a Finnish boreal forest and their relationship to bioaerosols by F. Vogel, F. Vogel, M. P. Adams, L. Lacher, P. B. Foster, G. C. E. Porter, G. C. E. Porter, B. Bertozzi, B. Bertozzi, K. Höhler, J. Schneider, T. Schorr, N. S. Umo, J. Nadolny, Z. Brasseur, P. Heikkilä, E. S. Thomson, N. Büttner, M. I. Daily, R. Fösig, A. D. Harrison, J. Keskinen, U. Proske, U. Proske, U. Proske, J. Duplissy, J. Duplissy, M. Kulmala, T. Petäjä, O. Möhler, B. J. Murray

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Carnivore activity across landuse gradients in a Mexican biosphere reserve by Germar González, Siria Gámez, Nyeema C. Harris

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Conjunct model of cloud ＆ client computing based on multi-agent by XU Xiao-long, CHENG Chun-ling, XIONG Jing-yi

“…In order to utilize the resources of all nodes in networks fully,a novel conjunct model of cloud ＆ client computing based on multi-agent was proposed,dividing the computing environment into three layers in accordance with the type of node and adopting agent to represent the behavior and resource of node to realize more efficient resource sharing and collaboration.The model takes full account of available resources owned by terminal nodes and deploys tasks in an orderly manner to the core nodes,servers and terminal nodes in order to maximize the efficiency of the resource utilization.To assure that tasks could be completed efficiently and reliably,a multi-agent-based collaborative multi-ring management mechanism was also presented,which is particularly suitable for the cloud ＆ client conjunct computing environment and propitious to enhance the stability of resources sharing and nodes cooperation and relieve the load of core nodes.Finally,the construction method of experimental system and application demonstration based on the model was provided for reference.…”
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Site selection of equipment and military equipment based on natural factors Case Study: Oman Sea Shores by mohamda poodineh, morteza esmailnejad, sohrab qaedi, Mohammad Ali Shirazi kharazi

“…Understanding the natural environment's behavior on the coast can help plan and deploy military activities. …”
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Analysis of Uneven Settlement of Long-Span Bridge Foundations Based on SBAS-InSAR by Kaixuan Zhang, Weifo Xiao, Haojie Zhu, Shaowei Ning, Shenjiang Huang, Dongxing Jin, Rong A, Bhesh Raj Thapa

“…While traditional contact sensors provide reliable measurements, their deployment is labor-intensive and costly, especially for long-span bridges. …”
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Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…Traditional methods of tool monitoring are insufficient for real-time and complex machining environments, prompting the integration of automated machine learning models. …”
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Toward 6G: An Overview of the Next Generation of Intelligent Network Connectivity by Sivarama Prasad Tera, Ravikumar Chinthaginjala, Giovanni Pau, Tae Hoon Kim

“…This next-generation network is projected to begin standardization in 2025, with commercial deployment anticipated by 2030. Building on the foundation of its predecessors, 6G aims to deliver ultra-reliable, low-latency, and high-speed communication essential for applications like autonomous systems, immersive virtual environments, and smart cities. …”
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Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach by Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam

“…These findings emphasize the efficiency of knowledge distillation in deploying deep learning models in resource-constrained environments. …”
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