THE USE OF QALY AS AN INTEGRAL MEASURE OF EFFECTIVENESS IN THE EVALUATION OF MEDICAL TECHNOLOGIES by N. Z. Musina, V. K. Fedyaeva

“…Its versatility enables better decision-making on financing the medical treatment within a limited budget. With this algorithm, the financial resources are allocated in such a way as to maximize the levels of QALY. …”
Get full text

Deep Learning-Driven Geospatial Modeling of Elderly Care Accessibility: Disparities Across the Urban-Rural Continuum in Central China by Yi Yu, Tian Dong

“…Taking Changsha as a case study, this research constructs an accessibility evaluation system based on the 15-min life circle theory, utilizing multi-source data. Spatial weighting characteristics of elderly care facility locations were analyzed through machine learning algorithms, and service coverage disparities between urban districts and suburban towns were assessed under 5-, 10-, and 15-min walking thresholds. …”
Get full text

Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination by Yidi Zhu, Qian Xiao, Hongjie Jia, Wenbiao Lu, Yu Jin

“…Conventional shared energy storage (SES) allocation and coordinated operation mechanism are mismatched with the actual time-varying demand of the distribution system, resulting in low utilization of energy storage and renewable energy sources (RES), which restricts the system operational efficiency and RES integration. …”
Get full text

ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

“…The proposed dynamic decision-making mechanism coordinates coding unit hierarchy configuration with spatial prediction modalities, achieving Pareto efficiency in computational resource allocation. The algorithm consists of two main components: a fast CU partitioning module and an intra-mode selection module. …”
Get full text

Integrating Social Determinants of Health in Machine Learning–Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study by Seung-Yup Lee, Leslie W Hayes, Bunyamin Ozaydin, Steven Howard, Alison M Garretson, Heather M Bradley, Andrew M Land, Erin W DeLaney, Amy O Pritchett, Amanda L Furr, Ashleigh Allgood, Matthew C Wyatt, Allyson G Hall, Jane C Banaszak-Holl

“…By taking a mixed methods approach, we aim to align the model with the hospital’s specific quality and patient safety considerations for the quality of patient care and the optimization of case management resource allocation. International Registered Report Identifier (IRRID)DERR1-10.2196/56049…”
Get full text

Optimizing Energy Efficiency in Cloud Data Centers: A Reinforcement Learning-Based Virtual Machine Placement Strategy by Abdelhadi Amahrouch, Youssef Saadi, Said El Kafhali

“…The proposed method, RLVMP, classifies VMs as sensitive or insensitive and dynamically allocates resources to minimize energy consumption while ensuring compliance with service level agreements (SLAs). …”
Get full text

Ad-BBR: Enhancing Round-Trip Time Fairness and Transmission Stability in TCP-BBR by Mingjun Wang, Xuezhi Zhang, Feng Jing, Mei Gao

“…While BBR offers lower latency and higher throughput compared to traditional congestion control algorithms, it still faces challenges. These include the periodic triggering of the ProbeRTT phase, which impairs data transmission efficiency, data over-injection caused by the congestion window (CWND) value-setting policy, and the difficulty of coordinating resource allocation across multiple concurrent flows. …”
Get full text

Mechanism for green unicast routing protection in multi-granularity transport networks by Jun-ling SHI, Xing-wei WANG, Min HUANG

“…The mechanism for green unicast routing protection is designed with the constraint of quality of service (QoS),energy consumption and the survivability of single link or node failure considered.The path is calculated under the constraint of QoS based on K-shortest path algorithm.The resource allocation is done on multi-layer auxiliary graph considering the minimum times of wavelength conversion.Three protection levels are provided according to the service demands.The mechanism is implemented over EON (Europe optical network) topology by simulation.Performance evaluation has been done on the blocking probability,the protecting/working resource ratio and the load balance degree by comparing with certain existent mechanism.It has been shown that the proposed mechanism is both feasible and effective.…”
Get full text

Mechanism for green unicast routing protection in multi-granularity transport networks by Jun-ling SHI, Xing-wei WANG, Min HUANG

“…The mechanism for green unicast routing protection is designed with the constraint of quality of service (QoS),energy consumption and the survivability of single link or node failure considered.The path is calculated under the constraint of QoS based on K-shortest path algorithm.The resource allocation is done on multi-layer auxiliary graph considering the minimum times of wavelength conversion.Three protection levels are provided according to the service demands.The mechanism is implemented over EON (Europe optical network) topology by simulation.Performance evaluation has been done on the blocking probability,the protecting/working resource ratio and the load balance degree by comparing with certain existent mechanism.It has been shown that the proposed mechanism is both feasible and effective.…”
Get full text

Federated Synergy: Hierarchical Multi-Agent Learning for Sustainable Edge Computing in IIoT by S. Benila, K. Devi

“…The Industrial Internet of Things (IIoT) presents significant challenges in task offloading, resource allocation, and energy efficiency, necessitating intelligent, scalable, and adaptive solutions. …”
Get full text

Presenting a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using NSGA-II by Sajad Janbaz, Seyed Mohammadreza Davoodi, Abdolmajid Abdolbaghi Ataabadi

“…The objective is to develop a multi-objective mathematical model that integrates scheduling and financial considerations to optimize resource allocation and minimize costs. The statistical population is in the form of a case study, and the required information and data were collected through interviews with managers of Kisson Construction Company.Findings: NSGA-II was used as an optimization algorithm to find efficient multi-objective solutions, and optimal results were presented to select civil and construction projects.Originality/Value: This research contributes to the field by proposing a novel multi-objective mathematical model that integrates scheduling and financial flow considerations in production projects. …”
Get full text

Using random subcarrier weighting for multi-carrier systems physical layer security by Zhou ZHONG, Liang JIN, Kai-zhi HUANG

“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
Get full text

Using random subcarrier weighting for multi-carrier systems physical layer security by Zhou ZHONG, Liang JIN, Kai-zhi HUANG

“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
Get full text

Joint optimization of edge computing and caching in NDN by Yu ZHANG, Min CHENG

“…Named data networking (NDN) is architecturally easier to integrate with edge computing as its routing is based on content names and its nodes have caching capabilities.Firstly, an integrated framework was proposed for implementing dynamic coordination of networking, computing and caching in NDN.Then, considering the variability of content popularity in different regions, a matrix factorization-based algorithm was proposed to predict local content popularity, and deep reinforcement learning was used to solve the the problem of joint optimization for computing and caching resource allocation and cache placement policy with the goal of maximizing system operating profit.Finally, the simulation environment was built in ndnSIM.The simulation results show that the proposed scheme has significant advantages in improving cache hit rate, reducing the average delay and the load on the remote servers.…”
Get full text

Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems by Kesav Ram Kaza, Rahul H. Meshram, Varunkumar Mehta, Shabbir N. Merchant

“…CRMABs can be applied to resource allocation problems in cyber-physical systems, including sensor/relay scheduling. …”
Get full text

NOMA Performance Improvement with Downlink Sectorization by Hurianti Vidyaningtyas, . Iskandar, . Hendrawan, Aloysius A. Pramudita

“…The primary objective is to improve system performance by implementing a downlink sectorization strategy, which groups users into distinct sectors to manage interference and optimize resource allocation. A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. …”
Get full text

GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

“…The outstanding experimental results demonstrate the effectiveness of the GES algorithm, which is crucial for the accuracy and reliability of postdisaster assessments, thereby promoting more efficient and effective disaster response and resource allocation.…”
Get full text

On the Modelling of the Mobile WiMAX (IEEE 802.16e) Uplink Scheduler by Darmawaty Mohd Ali, Kaharudin Dimyati

“…Packet scheduling has drawn a great deal of attention in the field of wireless networks as it plays an important role in distributing shared resources in a network. The process involves allocating the bandwidth among users and determining their transmission order. …”
Get full text

Trajectory Optimization for High-Speed and Long-Range Interceptor Based on Improved Adaptive hp Pseudospectral Method by Changxin Luo, Chijun Zhou, Jiong Li, Humin Lei

“…On the other hand, the curvature of the system state curve is used as the criterion to segment the original mesh nonuniformly so that more mesh points can be allocated where the curvature is large. These two points together ensure that the collocation point resources can be used more efficiently in the mesh refinement process. …”
Get full text

Enhancing NOMA-MEC Based Intelligent Farming: Performance Analysis and HSBOO Optimization by Arulvizhi Mani, Sriharipriya Krishnan Chandrasekaran, Veerapu Goutham

“…Then, the hybrid secretary bird osprey optimization (HSBOO) algorithm is proposed to analyse an optimization problem whose goal is to minimize the DOP by optimizing the task and power allocation. …”
Get full text