Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications by Ricardo Suarez del Valle, Abdulkadir Kose, Haeyoung Lee

“…This approach enables optimized resource allocation and significantly improves coverage, data rate, and resource utilization compared to conventional methods.…”
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Distributed Optimization for Mobile Robots under Mobile Edge Computing Environment by Hui Luo, Quan Yin

“…The mmW base station provides reliable communication services for MRs under the coverage of information cloud (IC). We design a joint resource and power allocation strategy aimed at minimizing network energy consumption. …”
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Adaptive building engineering component extraction model based on DSOD by Na Lv, Xuan Yang

“…In summary, it can be seen that the adaptive extraction model of building components constructed by the research has excellent information extraction performance, not only can it improve the efficiency of extracting engineering components, but it can also significantly enhance the decision support ability in construction management, optimize resource allocation, reduce risks, and improve the management efficiency of engineering projects. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…Results show that MA-CJD significantly reduces the time defense units are detected while minimizing jamming resource consumption. Compared with existing algorithms, MA-CJD achieves better solutions, demonstrating its superiority in cooperative jamming scenarios.…”
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FedMEM: Adaptive Personalized Federated Learning Framework for Heterogeneous Mobile Edge Environments by Chen Ximing, He Xilong, Cheng Du, Wu Tiejun, Tian Qingyu, Chen Rongrong, Qiu Jing

“…This framework enhances the resource allocation optimization algorithm by dynamically adjusting the depth of model inference and the bandwidth allocation strategy, which assists devices with limited computational capabilities in completing inference tasks promptly. …”
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Dynamic Scheduling Model of Bike-Sharing considering Invalid Demand by Liu He, Tangyi Guo, Kun Tang

“…System resources allocation optimization through dynamic scheduling is key to improving the service level of bike-sharing. …”
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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. …”
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Interference Mitigation in mmWave Heterogeneous Cloud-Radio Access Network: For Better Performance and User Connectivity by Najwan M. Swadi, Firas A. Sabir, Hamed S. Al-Raweshidy

“…It integrates User-RRH associations to mitigate interference, enhance network throughput (via Heuristic Algorithm) and RRH-BBU clustering (via k-means) to manage resources in the network. …”
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Opinion Mining on Viet Thanh Nguyen’s The Sympathizer Using Topic Modelling and Sentiment Analysis by Sea Yun Ying, Pantea Keikhosrokiani, Moussa Pourya Asl

“…In addition, Python is used as the analytical tool for this project as it supports two LDA algorithms: Gensim and Mallet. To overcome the limitation that the performance of the model relies on the available libraries in Python, the study employs machine learning approach. …”
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Virtual reality compressing and transmitting system based on mobile edge computing by Bin TAN, Songyuan ZHAO, Jun WU, Wenru ZHANG

“…In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.…”
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Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring by Qing-bo ZHOU, Qiang-yi YU, Jia LIU, Wen-bin WU, Hua-jun TANG

“…In addition, the thematic product series in terms of land cover, crop allocation, crop growth and production are required to be developed in association with other data sources at multiple spatial scales. …”
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Prospective external validation of the automated PIPRA multivariable prediction model for postoperative delirium on real-world data from a consecutive cohort of non-cardiac surgery... by Mary-Anne Kedda, Kelly A Reeve, Nayeli Schmutz Gelsomino, Michela Venturini, Felix Buddeberg, Martin Zozman, Reto Stocker, Philipp Meier, Marius Möller, Simone Pascale Wildhaber, Benjamin T Dodsworth

“…Its integration into clinical workflows may enhance POD prevention efforts and optimise resource allocation in perioperative care.…”
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Optimizing multi-objective hybrid energy systems with pumped hydro storage for enhanced stability and efficiency in renewable energy integration by Junxian Li, Jiaxin Yuan, Xuxin Yue

“…Renewable energy sources include the intermittent nature, which is a vital challenge that causes considerable wind and solar energy losses. …”
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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. …”
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Spatiotemporal Characteristics of Public Attention Level on the 2022 Extreme Drought in Yangtze River Basin Based on Weibo Text Analysis by LI Zhe, CHEN Zhe, XIANG Da-xiang, CUI Chang-lu

“…Utilizing texts from Weibo, a mainstream social media platform in China, as data sources, this study used machine learning and artificial intelligence algorithms to collect Weibo text data throughout the drought progression process. …”
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Wireless-powered cooperative energy aware anycast routing in wireless sensor networks by Fazle Hadi, Sheeraz Ahmed, Abid Ali Minhas, Abdulaziz Al Mazyad, Najam ul Islam, Imran Ahmed, Nadeem Javaid

“…Results further reveal that our proposed algorithm has improved energy consumption in comparison to the non-cooperative energy aware anycast scheme and the cooperation-based robust cooperative routing protocol scheme. …”
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Chemical Properties of Heterogenous Catalysts in Improving Yield of Biofuel Production by Qian Yanfei

“…It systematically optimizes hub layouts, flexible resource allocation, and dynamic control by employing spatial topology algorithms, multi-agent game models, and digital twin technology.A three-tier toolkit comprising “model classification,” “algorithm adaptation,” and “scenario application” has been developed to address issues such as facility layout mismatches, inefficient resource scheduling, and limited resilience to sudden surges in passenger flow.Empirical evidence indicates that, following optimization, the distance between subway and bus connections is reduced to 150 meters, decreasing transfer time by 40%. …”
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High-Level Synthesis under Fixed-Point Accuracy Constraint by Daniel Menard, Nicolas Herve, Olivier Sentieys, Hai-Nam Nguyen

“…Indeed, high-level synthesis requires operator word-length knowledge to correctly execute its allocation, scheduling, and resource binding steps. …”
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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. …”
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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. …”
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