Forest Management in the Interface: Practicing Visible Stewardship by Bruce Hull, Sarah F. Ashton, Rien M. Visser, Martha C. Monroe

“…Monroe, reviews a suite of visible stewardship options, such as cues-to-care and screening practices that can help improve public perceptions of resource management practices such as timber harvesting. …”
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Training and Employee Retention in Microfinance Institutions in Rukungiri District, Uganda. by Dudu Isa, Muhammed

“…A Research Report Submitted to Directorate of Postgraduate Training in Partial Fulfilment of the Requirements for the Award of Master’s Degree in Human Resource Management of Kabale University…”
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Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

“…The purpose of this study aims to identify and analyze innovative behavior proposals based on strategic human resource management in knowledge-based organizations. The research is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of the type of data. …”
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Opening Address by Bode Florin

“…Throughout the conference, we explored cutting-edge research on energy efficiency, green building technologies, resource management, and climate resilience—core areas central to the EENVIRO mission of promoting a smarter and greener future.…”
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Research on energy management of multi-user mobile edge computing offloading by Luyao WANG, Wenqian ZHANG, Guanglin ZHANG

“…In mobile edge computing system,the quality of computing experience can be improved greatly by offloading computing tasks from mobile devices to mobile edge computing servers.Consider incorporating renewable energy into a multi-user mobile edge system.Moreover,a battery as an energy harvesting device was added to the model to harvest energy and storage.The task allocation strategy in mobile edge computing system was formulated through the resource management algorithm based on reinforcement learning,which achieved the cost minimization of mobile devices (including delay cost and computing cost).The simulation results show that the proposed algorithm significantly minimizes the cost of mobile devices compared with other algorithms.…”
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Autonomic grid architecture based on information pool protocol by CHEN Zhi-gang, LI Deng, ZENG Zhi-wen, LIU Jia-qi

“…Requests from resources for tasks and appeals from tasks for resources were upgraded as information services by using information pool protocol （IPP）. Thus, grid resource management and task scheduling were regarded as information matching by IPP which was adaptive to het- erogeneous, dynamic and distributed characteristic of grid system. …”
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Flow-based electronic resource network behavior analysis practice by HE Haitao, LI Enlei, ZHAO Qiong, YAO Renlong, WEI Yujun

“…In a university environment, analyzing the access patterns of electronic resource is crucial for resource management and optimization. A method based on the classification and aggregation of network flows into long and short flows was proposed. …”
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6G context-aware wireless network by Junshuai SUN, Yun ZHAO, Yingying WANG, Na LI, Huimin ZHANG, Xin SUN, Min YAN, Quan ZHAO, Gang LI, Xuan LIU, Guangyi LIU

“…Convergence of ICDT is one of the important technical trends in the evolution of wireless mobile communication.How to realize the convergence of wireless network and AI technology is an important topic in the evolution of wireless network.Based on the concept of native AI, AI was applied for wireless resources optimization.6G context-aware wireless network architecture was proposed and AI was introduced into RRM to form an intelligent controller (AI-driven RRM), which completed the intelligent wireless resource management.Driven by big data and artificial intelligence, intelligent management of wireless resources was realized.In the deployment, the intelligent controller is deployed according to its functions and supports dynamic function scaling, so that it can be deployed independently of base station to minimize the cost of hardware.…”
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Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

“…Accurate and reliable precipitation forecasting is vital for effective water resource management and disaster mitigation, especially in geographically diverse and climatically complex regions like China. …”
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Characterization of Kenyan Honeys Based on Their Physicochemical Properties, Botanical and Geographical Origin by Mary Wanjiru Warui, Lise Hansted, Mary Gikungu, John Mburu, Geoffrey Kironchi, Aske Skovmand Bosselmann

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Narrow Dietary Niche With High Overlap Between Snow Leopards and Himalayan Wolves Indicates Potential for Resource Competition in Shey Phoksundo National Park, Nepal by Sandesh Lamichhane, Bikram Shrestha, Bhumi Prakash Chaudhary Tharu, Raj Kumar Koirala, Bishnu Prasad Bhattarai, Pratigyan Poudel, Binaya Adhikari, Gopal Khanal

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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

“…Among the crucial elements to take into account in an IoHT framework are efficient resource management, low latency, and strong security. This review addresses several machine learning techniques for efficient resource management in the IoT, where machine learning (ML) and AI are crucial. …”
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Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…By improving the prediction of VPD dynamics, this research provides important tools for climate change adaptation, ecosystem monitoring, and sustainable resource management.…”
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Combining Host Plant Resistance, Selective Insecticides, and Biological Control Agents for Integrated Management of Tuta absoluta by Peris Wangari Nderitu, Mattias Jonsson, Esther Arunga, Mark Otieno, John Jamleck Muturi, Geoffrey O. Wafula

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THE PROCESS OF DECENTRALIZATION AND ITS IMPACT ON LOCAL SELF-GOVERNANCE by Arben Ristemi

“…The goal of the decentralization process is to ensure greater autonomy for local authorities, enable more efficient resource management, and increase the effectiveness of public services. …”
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Joint intelligent optimization of task offloading and service caching for vehicular edge computing by Lei LIU, Chen CHEN, Jie FENG, Qingqi PEI, Ci HE, Zhibin DOU

“…Given the contradiction between limited network resources and massive user demands in Internet of vehicles, an intelligent vehicular edge computing network architecture was proposed to achieve the comprehensive cooperation and intelligent management of network resources.Based on this architecture, a joint optimization scheme of task offloading and service caching was furtherly devised, which formulated an optimization problem about how to offload tasks and allocate computation and cache resources.In view of the dynamics, randomness and time variation of vehicular networks, an asynchronous distributed reinforcement learning algorithm was employed to obtain the optimal task offloading and resource management policy.Simulation results demonstrate that the proposed algorithm achieves significant performance improvement in comparison with the other schemes.…”
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KubeTelecom: a multi-cloud multi-container cluster management and operation engine for 5G network slicing by Yuting WU, Xuliang WANG, Shuo QUAN

“…KubeTelecom design architecture and implementation were proposed and introduced in detail, which was for multi-cloud multi-container cluster management and operation and maintenance engine operators’ multiple network cloud applications.Based on the bearer requirements of the 5G slicing scenario, KubeTelecom provided the upper-layer application platform with multi-container cluster management and orchestration capabilities and data-driven comprehensive operation and maintenance capabilities were analyzed in detail.The future telecom cloud platform integrates the KubeTelecom module to provide unified resource management and operation and maintenance capabilities for multiple cloud-native applications, and provide solid technical support for the development of operators’ multiple DICT business ecosystems.…”
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Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm by Xueming Guan, Yaozhi Ma

“…This paper proposes a task-oriented resource management model and uses the task-oriented TRS model to describe resources and service processes, reducing the complexity of formulating resource allocation strategies. …”
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Cloud resource prediction model based on triple exponential smoothing method and temporal convolutional network by Xiaolan XIE, Zhengzheng ZHANG, Jianwei WANG, Xiaochun GHENG

“…The container cloud represented by Docker and Kubernetes has the advantages of less additional resource overhead and shorter start-up and destruction time.However there are still resource management issues such as over-supply and under-supply.In order to allow the Kubernetes cluster to respond “in advance” to the resource usage of the applications deployed on it,and then to schedule and allocate resources in a timely,accurate and dynamic manner based on the predicted value,a cloud resource prediction model based on triple exponential smoothing method and temporal convolutional network was proposed,based on historical data to predict future demand for resources.To find the optimal combination of parameters,the parameters were optimized using TPOT thought.Experiments on the CPU and memory of the Google dataset show that the model has better prediction performance than other models.…”
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Fog computing based radio access networks：architecture，principles and challenges by Bonan YIN, Yuan AI, Mugen PENG

“…To reduce the burden of fronthaul link，avoid large-scale wireless signal processing in centralized baseband unit（BBU）pool，and take full advantage of processing and storage capabilities in edge devices，a fog computing based radio access network（F-RAN）was presented as an evolution form of heterogeneous cloud radio access networks.The core idea of F-RAN was to take full advantage of processing and storage capabilities in edge devices which could achieve the local distributed content delivery，the local distributed collaboration radio signal processing and the local distributed cooperative radio resource management functions.System architectures of F-RAN，promising key techniques，and researching open issues of F-RAN were discussed in detail.…”
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