Heterogeneous bioinformatic data encryption on portable devices by Hao Chen, Xiayun Hong, Yao Cheng, Xiaotong Wang, Liyan Chen, Xuan Cheng, Juncong Lin

“…For mobile devices, encryption is even more important yet more challenging, as these devices are usually used in environments that may not be well protected and have rather limited computing resources. With heterogeneous multi-core processors becoming popular on mobile devices to satisfy different needs of applications, designing heterogeneous algorithms to harness all the available resources are tricky but have the potential to deliver high performance. …”
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Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department by Mohammad A. Shbool, Omar S. Arabeyyat, Ammar Al-Bazi, Abeer Al-Hyari, Arwa Salem, Thana’ Abu-Hmaid, Malak Ali

“…However, managing the health systems efficiently and achieving the best planning and allocation of their EDs’ resources becomes crucial to improve their capabilities to accommodate the crisis’s impact. …”
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ClassRoom-Crowd: A Comprehensive Dataset for Classroom Crowd Counting and Cross-Domain Baseline Analysis by Wenqian Jiang, Xiaohua Huang, Qun Zhao, Sheng Liu

“…Additionally, in day-to-day educational management, tasks such as optimizing the allocation of teaching resources and planning educational spaces heavily depend on precise crowd counting techniques. …”
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Twice against thrice-weekly hemodialysis (TATH): a multicenter nonrandomized trial by Mabel Aoun, Serge Finianos, Chadia Beaini, Ghassan Sleilaty, Rita Ghaleb, Nicole Nourie, Sami Kais, Joseph El Hajal, Rachad Alameddine, Celine Boueri, Balsam El Ghoul, Sandy Zeidan, Hiba Azar, Antoine Dfouni, Jenny Hawi, Zeina Mechref, Valerie Hage, Dania Chelala

“…Missing baseline factors were imputed using multiple imputation algorithms, then entered in a logistic regression model to estimate propensity scores. …”
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6G virtualized beamforming: a novel framework for optimizing massive MIMO in 6G networks by Ahmed M. Alwakeel

“…Our framework employs a combination of advanced machine learning algorithms and software-defined networking to dynamically allocate beamforming resources, improving adaptability in high-density environments and optimizing signal-to-noise ratios. …”
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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…Specifically, by using machine learning algorithms for dynamic scheduling of distributed energy resources, the system can achieve an energy utilization rate 12% higher than traditional scheduling methods, and reduce energy waste by 18% in the event of fluctuations in energy demand. …”
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Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing by Puneeta Singh, Shrddha Sagar, Sofia Singh, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

“…Blockchain systems can lower platform costs and determine the optimal allocation of resources across a dispersed network by utilizing deep learning algorithms. …”
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Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…The study also emphasizes the need to increase budget allocations for KM-related projects so that sufficient financial resources are available to upgrade technologies and support training programs.Originality/Value: This study is notable for its originality and innovative approach, as it represents the first formal investigation into the knowledge management maturity levels in Iranian audiovisual archives using the APQC model. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…As a result, the efficient allocation of public security resources based on spatio-temporal crime prediction models has become a critical concern for urban management. …”
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Algoritma Penentuan Ukuran Batch Integer pada Penjadwalan Flowshop Satu Mesin by Hadigufri Triha, Ahmad Syafruddin Indrapriyatna, Jonrinaldi, Berry Yuliandra

“…Scheduling is required to produce an existing job by allocating existing resources in the proper execution order. …”
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Advancing Mental Health Care: Intelligent Assessments and Automated Generation of Personalized Advice via M.I.N.I and RoBERTa by Yuezhong Wu, Huan Xie, Lin Gu, Rongrong Chen, Shanshan Chen, Fanglan Wang, Yiwen Liu, Lingjiao Chen, Jinsong Tang

“…This optimizes the allocation of medical resources, enhances diagnostic efficiency, and provides a reference for advancing mental health care through artificial-intelligence technology.…”
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Energy-Efficient Target Area Imaging for UAV-SAR-Based ISAC: Beamforming Design and Trajectory Optimization by Jiayi Zhou, Xiangyin Zhang, Kaiyu Qin, Feng Yang, Libo Wang, Deyu Song

“…To achieve maximum energy efficiency, we jointly optimized the UAV’s trajectory, velocity, communication beamforming, sensing beamforming, and power allocation. Numerical results demonstrate that compared to existing benchmarks and PSO algorithms, the proposed method significantly improves the energy efficiency of UAV-SAR-based ISAC systems through optimized trajectory design.…”
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A Multi-Objective Hybrid Game Pricing Strategy for Integrated Energy Operator-Load Aggregator Alliances Considering Integrated Demand Response by Yunlong Wang, Shan He

“…Secondly, to achieve cooperation between load aggregators, we use Nash bargaining theory to decompose the cooperative game model into two subproblems: maximizing alliance benefits and allocating cooperation benefits. Finally, we use the Alternative Direction Method of Multipliers (ADMM) algorithm combined with dichotomy and compromise programming theory to solve the model, to maximize the interests of all parties in the continuous interaction process. …”
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Optimising management against dynamic threats: A spatially explicit approach based on integer programming by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

“…Employing a Warm‐start algorithmic strategy ensures rapid generation of feasible solutions, enhancing the model's practical applicability and scalability. …”
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Excavation Safety Modeling Approach Using BIM and VPL by Numan Khan, Ahmad K. Ali, Miroslaw J. Skibniewski, Do Yeop Lee, Chansik Park

“…They have developed various algorithms to enhance safety in preconstruction phase such as automated generation of scaffolding and its potential risk analysis, checking BIM model for fall risks, and limited access zone allocation in wall masonry. …”
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A hybrid deep learning framework for regional reference crop evapotranspiration estimation in the Hetao Irrigation District using limited meteorological data by Xiao Zhang, Yuxin Tao, Chenglong Zhang

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Preventing Health Risks Through Intelligent Medical Appointment Management Using Disease and Attendance Propensity by Fredy Troncoso-Espinosa, Guillermo Latorre-Nunez, Catalina Valenzuela-Nunez, Juan San Martin-Duran

“…Patients scheduled by the intelligent model show higher mean propensities to attend appointments and to develop diseases, ensuring that medical resources are allocated efficiently to those in greatest need. …”
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An overview for assessing a number of systems for estimating age and gender of speakers by Aalaa Ahmed Mohammed, Yusra Faisal Al-Irhayim

“…Speech signal has a variety of applications ranging from speech analyses to allocate human-machine interactions. This paper aims to conduct a comparative study of age and gender classification algorithms applied to the speech signal. …”
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Mobile operation and maintenance system of electric power communication access network based on IoT technology by Haiming JIANG, Danni XIA, Yuan LIU, Shiwen ZHAO, Lin FEI, Jingyu REN

“…The mobile operation and maintenance system of electric power communication access network was designed.In this developed system,the technology with intelligent identification of internet of things and data real-time transmission was introduced to the on-site operation and maintenance standardization management of the power communication network.First of all,the mobile operation and maintenance system architecture was built to realize the informatization of on-site operation and maintenance.And then,the TOPSIS algorithm was utilized to allocate the worksheet automatically,which improved the efficiency of fault processing.Besides,by real-time monitoring the site through the system,the intelligent management of the power communication access network was realized.The test results show that the operational management system is able to realize resources unified management,fault intelligent analysis,informatization support of on-site operations management,and also greatly enhance the intelligent operation and management level of power communication access network.…”
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Dynamic energy consumption monitoring and scheduling for green buildings: A comprehensive approach by Hua Zheng, Pengming Wang

“…The scheduling strategy adopts a dynamic approach based on priority to flexibly allocate energy resources to ensure the coordinated operation of various energy systems in the building. …”
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